EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 525,
   "metadata": {},
   "outputs": [],
   "source": [
    "### EDA for final project\n",
    "### Videogames from 1980-2023\n",
    "# Claudia Mattes\n",
    "#github: claudiamattes98"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 526,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing the necessary packages\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from langdetect import detect"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Data Source](https://www.kaggle.com/datasets/arnabchaki/popular-video-games-1980-2023/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 527,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### documentation\n",
    "# I found the dataset on Kaggle via the google datset search https://datasetsearch.research.google.com/search?src=3&query=video%20games&docid=L2cvMTF0eGoyeDJkYg%3D%3D\n",
    "# It's an open source dataset created by webscraping backloggd.com\n",
    "\n",
    "# I chose this dataset because videogames are one of my hobbies and I saw that the data provided could be used to try out a number of ways to work with data in python\n",
    "# some of them I already worked a bit with (simple NLprocessing), others I have no experience in (webscraping, geoplotting, plotting in general, maybe some stats, AI prompts)\n",
    "# so it's more of a personal interest that made me choose the particular dataset, but I'm hoping to train some skills that will be useful for research endeavours in the future.\n",
    "# I don't know how ambitious the plans are that I made for the final project so far, but I will talk about them throughout the notebook\n",
    "\n",
    "\n",
    "# the documentation on the dataset itself is not the best and the datatypes for the different columns are not the right ones, so after importing I will need to spend time to fix this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 528,
   "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>Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elden Ring</td>\n",
       "      <td>Feb 25, 2022</td>\n",
       "      <td>['Bandai Namco Entertainment', 'FromSoftware']</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.9K</td>\n",
       "      <td>3.9K</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>Elden Ring is a fantasy, action and open world...</td>\n",
       "      <td>[\"The first playthrough of elden ring is one o...</td>\n",
       "      <td>17K</td>\n",
       "      <td>3.8K</td>\n",
       "      <td>4.6K</td>\n",
       "      <td>4.8K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hades</td>\n",
       "      <td>Dec 10, 2019</td>\n",
       "      <td>['Supergiant Games']</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2.9K</td>\n",
       "      <td>2.9K</td>\n",
       "      <td>['Adventure', 'Brawler', 'Indie', 'RPG']</td>\n",
       "      <td>A rogue-lite hack and slash dungeon crawler in...</td>\n",
       "      <td>['convinced this is a roguelike for people who...</td>\n",
       "      <td>21K</td>\n",
       "      <td>3.2K</td>\n",
       "      <td>6.3K</td>\n",
       "      <td>3.6K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Legend of Zelda: Breath of the Wild</td>\n",
       "      <td>Mar 03, 2017</td>\n",
       "      <td>['Nintendo', 'Nintendo EPD Production Group No...</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.3K</td>\n",
       "      <td>4.3K</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>The Legend of Zelda: Breath of the Wild is the...</td>\n",
       "      <td>['This game is the game (that is not CS:GO) th...</td>\n",
       "      <td>30K</td>\n",
       "      <td>2.5K</td>\n",
       "      <td>5K</td>\n",
       "      <td>2.6K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Undertale</td>\n",
       "      <td>Sep 15, 2015</td>\n",
       "      <td>['tobyfox', '8-4']</td>\n",
       "      <td>4.2</td>\n",
       "      <td>3.5K</td>\n",
       "      <td>3.5K</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "      <td>A small child falls into the Underground, wher...</td>\n",
       "      <td>['soundtrack is tied for #1 with nier automata...</td>\n",
       "      <td>28K</td>\n",
       "      <td>679</td>\n",
       "      <td>4.9K</td>\n",
       "      <td>1.8K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hollow Knight</td>\n",
       "      <td>Feb 24, 2017</td>\n",
       "      <td>['Team Cherry']</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3K</td>\n",
       "      <td>3K</td>\n",
       "      <td>['Adventure', 'Indie', 'Platform']</td>\n",
       "      <td>A 2D metroidvania with an emphasis on close co...</td>\n",
       "      <td>[\"this games worldbuilding is incredible, with...</td>\n",
       "      <td>21K</td>\n",
       "      <td>2.4K</td>\n",
       "      <td>8.3K</td>\n",
       "      <td>2.3K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>Back to the Future: The Game</td>\n",
       "      <td>Dec 22, 2010</td>\n",
       "      <td>['Telltale Games']</td>\n",
       "      <td>3.2</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>['Adventure', 'Point-and-Click']</td>\n",
       "      <td>Back to the Future: The Game is one of Telltal...</td>\n",
       "      <td>['Very enjoyable game. The story adds onto the...</td>\n",
       "      <td>763</td>\n",
       "      <td>5</td>\n",
       "      <td>223</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>Team Sonic Racing</td>\n",
       "      <td>May 21, 2019</td>\n",
       "      <td>['Sumo Digital', 'Sega']</td>\n",
       "      <td>2.9</td>\n",
       "      <td>264</td>\n",
       "      <td>264</td>\n",
       "      <td>['Arcade', 'Racing']</td>\n",
       "      <td>Team Sonic Racing combines the best elements o...</td>\n",
       "      <td>['jogo morto mas bom', 'not my cup of tea', \"C...</td>\n",
       "      <td>1.5K</td>\n",
       "      <td>49</td>\n",
       "      <td>413</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>Dragon's Dogma</td>\n",
       "      <td>May 22, 2012</td>\n",
       "      <td>['Capcom']</td>\n",
       "      <td>3.7</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>['Brawler', 'RPG']</td>\n",
       "      <td>Set in a huge open world, Dragon’s Dogma: Dark...</td>\n",
       "      <td>['Underrated.', 'A grandes rasgos, es como un ...</td>\n",
       "      <td>1.1K</td>\n",
       "      <td>45</td>\n",
       "      <td>487</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>Baldur's Gate 3</td>\n",
       "      <td>Oct 06, 2020</td>\n",
       "      <td>['Larian Studios']</td>\n",
       "      <td>4.1</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>['Adventure', 'RPG', 'Strategy', 'Tactical', '...</td>\n",
       "      <td>An ancient evil has returned to Baldur's Gate,...</td>\n",
       "      <td>['Bu türe bu oyunla girmeye çalışmak hataydı s...</td>\n",
       "      <td>269</td>\n",
       "      <td>79</td>\n",
       "      <td>388</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>The LEGO Movie Videogame</td>\n",
       "      <td>Feb 04, 2014</td>\n",
       "      <td>['WB Games', 'TT Fusion']</td>\n",
       "      <td>2.8</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>['Adventure', 'Puzzle']</td>\n",
       "      <td>Join Emmet and an unlikely group of resistance...</td>\n",
       "      <td>['Legal', 'Pretty Average Lego Game But It Was...</td>\n",
       "      <td>1.7K</td>\n",
       "      <td>11</td>\n",
       "      <td>239</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1512 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Title  Release Date   \n",
       "0                                  Elden Ring  Feb 25, 2022  \\\n",
       "1                                       Hades  Dec 10, 2019   \n",
       "2     The Legend of Zelda: Breath of the Wild  Mar 03, 2017   \n",
       "3                                   Undertale  Sep 15, 2015   \n",
       "4                               Hollow Knight  Feb 24, 2017   \n",
       "...                                       ...           ...   \n",
       "1507             Back to the Future: The Game  Dec 22, 2010   \n",
       "1508                        Team Sonic Racing  May 21, 2019   \n",
       "1509                           Dragon's Dogma  May 22, 2012   \n",
       "1510                          Baldur's Gate 3  Oct 06, 2020   \n",
       "1511                 The LEGO Movie Videogame  Feb 04, 2014   \n",
       "\n",
       "                                                   Team  Rating Times Listed   \n",
       "0        ['Bandai Namco Entertainment', 'FromSoftware']     4.5         3.9K  \\\n",
       "1                                  ['Supergiant Games']     4.3         2.9K   \n",
       "2     ['Nintendo', 'Nintendo EPD Production Group No...     4.4         4.3K   \n",
       "3                                    ['tobyfox', '8-4']     4.2         3.5K   \n",
       "4                                       ['Team Cherry']     4.4           3K   \n",
       "...                                                 ...     ...          ...   \n",
       "1507                                 ['Telltale Games']     3.2           94   \n",
       "1508                           ['Sumo Digital', 'Sega']     2.9          264   \n",
       "1509                                         ['Capcom']     3.7          210   \n",
       "1510                                 ['Larian Studios']     4.1          165   \n",
       "1511                          ['WB Games', 'TT Fusion']     2.8          184   \n",
       "\n",
       "     Number of Reviews                                             Genres   \n",
       "0                 3.9K                               ['Adventure', 'RPG']  \\\n",
       "1                 2.9K           ['Adventure', 'Brawler', 'Indie', 'RPG']   \n",
       "2                 4.3K                               ['Adventure', 'RPG']   \n",
       "3                 3.5K  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
       "4                   3K                 ['Adventure', 'Indie', 'Platform']   \n",
       "...                ...                                                ...   \n",
       "1507                94                   ['Adventure', 'Point-and-Click']   \n",
       "1508               264                               ['Arcade', 'Racing']   \n",
       "1509               210                                 ['Brawler', 'RPG']   \n",
       "1510               165  ['Adventure', 'RPG', 'Strategy', 'Tactical', '...   \n",
       "1511               184                            ['Adventure', 'Puzzle']   \n",
       "\n",
       "                                                Summary   \n",
       "0     Elden Ring is a fantasy, action and open world...  \\\n",
       "1     A rogue-lite hack and slash dungeon crawler in...   \n",
       "2     The Legend of Zelda: Breath of the Wild is the...   \n",
       "3     A small child falls into the Underground, wher...   \n",
       "4     A 2D metroidvania with an emphasis on close co...   \n",
       "...                                                 ...   \n",
       "1507  Back to the Future: The Game is one of Telltal...   \n",
       "1508  Team Sonic Racing combines the best elements o...   \n",
       "1509  Set in a huge open world, Dragon’s Dogma: Dark...   \n",
       "1510  An ancient evil has returned to Baldur's Gate,...   \n",
       "1511  Join Emmet and an unlikely group of resistance...   \n",
       "\n",
       "                                                Reviews Plays Playing   \n",
       "0     [\"The first playthrough of elden ring is one o...   17K    3.8K  \\\n",
       "1     ['convinced this is a roguelike for people who...   21K    3.2K   \n",
       "2     ['This game is the game (that is not CS:GO) th...   30K    2.5K   \n",
       "3     ['soundtrack is tied for #1 with nier automata...   28K     679   \n",
       "4     [\"this games worldbuilding is incredible, with...   21K    2.4K   \n",
       "...                                                 ...   ...     ...   \n",
       "1507  ['Very enjoyable game. The story adds onto the...   763       5   \n",
       "1508  ['jogo morto mas bom', 'not my cup of tea', \"C...  1.5K      49   \n",
       "1509  ['Underrated.', 'A grandes rasgos, es como un ...  1.1K      45   \n",
       "1510  ['Bu türe bu oyunla girmeye çalışmak hataydı s...   269      79   \n",
       "1511  ['Legal', 'Pretty Average Lego Game But It Was...  1.7K      11   \n",
       "\n",
       "     Backlogs Wishlist  \n",
       "0        4.6K     4.8K  \n",
       "1        6.3K     3.6K  \n",
       "2          5K     2.6K  \n",
       "3        4.9K     1.8K  \n",
       "4        8.3K     2.3K  \n",
       "...       ...      ...  \n",
       "1507      223       67  \n",
       "1508      413      107  \n",
       "1509      487      206  \n",
       "1510      388      602  \n",
       "1511      239       73  \n",
       "\n",
       "[1512 rows x 13 columns]"
      ]
     },
     "execution_count": 528,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#import dataframe from csv using the ID column as index\n",
    "games = pd.read_csv('games.csv', index_col=0)\n",
    "games\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 529,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1512, 13)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1512 entries, 0 to 1511\n",
      "Data columns (total 13 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Title              1512 non-null   object \n",
      " 1   Release Date       1512 non-null   object \n",
      " 2   Team               1511 non-null   object \n",
      " 3   Rating             1499 non-null   float64\n",
      " 4   Times Listed       1512 non-null   object \n",
      " 5   Number of Reviews  1512 non-null   object \n",
      " 6   Genres             1512 non-null   object \n",
      " 7   Summary            1511 non-null   object \n",
      " 8   Reviews            1512 non-null   object \n",
      " 9   Plays              1512 non-null   object \n",
      " 10  Playing            1512 non-null   object \n",
      " 11  Backlogs           1512 non-null   object \n",
      " 12  Wishlist           1512 non-null   object \n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 165.4+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "#looking at the datatypes of the columns\n",
    "games_shape = games.shape\n",
    "print(games_shape)\n",
    "games_info = games.info()\n",
    "print(games_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title                 0\n",
      "Release Date          0\n",
      "Team                  1\n",
      "Rating               13\n",
      "Times Listed          0\n",
      "Number of Reviews     0\n",
      "Genres                0\n",
      "Summary               1\n",
      "Reviews               0\n",
      "Plays                 0\n",
      "Playing               0\n",
      "Backlogs              0\n",
      "Wishlist              0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#Null datapoints in the dataset\n",
    "print(games.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "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>Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>Final Fantasy XVI</td>\n",
       "      <td>Jun 22, 2023</td>\n",
       "      <td>['Square Enix', 'Square Enix Creative Business...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>422</td>\n",
       "      <td>422</td>\n",
       "      <td>['RPG']</td>\n",
       "      <td>Final Fantasy XVI is an upcoming action role-p...</td>\n",
       "      <td>[]</td>\n",
       "      <td>37</td>\n",
       "      <td>10</td>\n",
       "      <td>732</td>\n",
       "      <td>2.4K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>Death Stranding 2</td>\n",
       "      <td>releases on TBD</td>\n",
       "      <td>['Kojima Productions']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>['Adventure', 'Shooter']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>209</td>\n",
       "      <td>644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>Final Fantasy VII Rebirth</td>\n",
       "      <td>Dec 31, 2023</td>\n",
       "      <td>['Square Enix']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>192</td>\n",
       "      <td>192</td>\n",
       "      <td>[]</td>\n",
       "      <td>This next standalone chapter in the FINAL FANT...</td>\n",
       "      <td>[]</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>354</td>\n",
       "      <td>1.1K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>Lies of P</td>\n",
       "      <td>Aug 01, 2023</td>\n",
       "      <td>['NEOWIZ', 'Round8 Studio']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>175</td>\n",
       "      <td>175</td>\n",
       "      <td>['RPG']</td>\n",
       "      <td>Inspired by the familiar story of Pinocchio, L...</td>\n",
       "      <td>[]</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>260</td>\n",
       "      <td>939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>Judas</td>\n",
       "      <td>Mar 31, 2025</td>\n",
       "      <td>['Ghost Story Games']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>['Adventure', 'Shooter']</td>\n",
       "      <td>A disintegrating starship. A desperate escape ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "      <td>437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>Like a Dragon Gaiden: The Man Who Erased His Name</td>\n",
       "      <td>Dec 31, 2023</td>\n",
       "      <td>['Ryū Ga Gotoku Studios', 'Sega']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>['Adventure', 'Brawler', 'RPG']</td>\n",
       "      <td>This game covers Kiryu's story between Yakuza ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>145</td>\n",
       "      <td>588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>The Legend of Zelda: Tears of the Kingdom</td>\n",
       "      <td>May 12, 2023</td>\n",
       "      <td>['Nintendo', 'Nintendo EPD Production Group No...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>581</td>\n",
       "      <td>581</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>The Legend of Zelda: Tears of the Kingdom is t...</td>\n",
       "      <td>[]</td>\n",
       "      <td>72</td>\n",
       "      <td>6</td>\n",
       "      <td>1.6K</td>\n",
       "      <td>5.4K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1130</th>\n",
       "      <td>Star Wars Jedi: Survivor</td>\n",
       "      <td>Apr 28, 2023</td>\n",
       "      <td>['Respawn Entertainment', 'Electronic Arts']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250</td>\n",
       "      <td>250</td>\n",
       "      <td>['Adventure']</td>\n",
       "      <td>The story of Cal Kestis continues in Star Wars...</td>\n",
       "      <td>[]</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>367</td>\n",
       "      <td>1.4K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1160</th>\n",
       "      <td>We Love Katamari Reroll + Royal Reverie</td>\n",
       "      <td>Jun 02, 2023</td>\n",
       "      <td>['Bandai Namco Entertainment', 'MONKEYCRAFT Co...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>['Adventure', 'Puzzle']</td>\n",
       "      <td>We Love Katamari Reroll + Royal Reverie is a r...</td>\n",
       "      <td>[]</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1202</th>\n",
       "      <td>Earthblade</td>\n",
       "      <td>Dec 31, 2024</td>\n",
       "      <td>['Extremely OK Games']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG']</td>\n",
       "      <td>You are Névoa, an enigmatic child of Fate retu...</td>\n",
       "      <td>[]</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>Diablo IV</td>\n",
       "      <td>Jun 06, 2023</td>\n",
       "      <td>['Blizzard Entertainment']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>148</td>\n",
       "      <td>['Brawler', 'RPG']</td>\n",
       "      <td>Endless demons to slaughter. Deep customizatio...</td>\n",
       "      <td>[]</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>179</td>\n",
       "      <td>677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1341</th>\n",
       "      <td>Pac-Man in a Tin</td>\n",
       "      <td>Mar 22, 2023</td>\n",
       "      <td>['Fizz Creations']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>['Arcade']</td>\n",
       "      <td>Pac-Man in a Tin is a pocket-sized tin contain...</td>\n",
       "      <td>[]</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1349</th>\n",
       "      <td>Pokémon Añil</td>\n",
       "      <td>Mar 23, 2023</td>\n",
       "      <td>['Eric Lost']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>['RPG']</td>\n",
       "      <td>Pokémon Añil is the fourth video game created ...</td>\n",
       "      <td>['pokemon HWHAT', 'Finally, after all these ye...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  Title     Release Date   \n",
       "587                                   Final Fantasy XVI     Jun 22, 2023  \\\n",
       "649                                   Death Stranding 2  releases on TBD   \n",
       "713                           Final Fantasy VII Rebirth     Dec 31, 2023   \n",
       "719                                           Lies of P     Aug 01, 2023   \n",
       "726                                               Judas     Mar 31, 2025   \n",
       "746   Like a Dragon Gaiden: The Man Who Erased His Name     Dec 31, 2023   \n",
       "972           The Legend of Zelda: Tears of the Kingdom     May 12, 2023   \n",
       "1130                           Star Wars Jedi: Survivor     Apr 28, 2023   \n",
       "1160            We Love Katamari Reroll + Royal Reverie     Jun 02, 2023   \n",
       "1202                                         Earthblade     Dec 31, 2024   \n",
       "1305                                          Diablo IV     Jun 06, 2023   \n",
       "1341                                   Pac-Man in a Tin     Mar 22, 2023   \n",
       "1349                                       Pokémon Añil     Mar 23, 2023   \n",
       "\n",
       "                                                   Team  Rating Times Listed   \n",
       "587   ['Square Enix', 'Square Enix Creative Business...     NaN          422  \\\n",
       "649                              ['Kojima Productions']     NaN          105   \n",
       "713                                     ['Square Enix']     NaN          192   \n",
       "719                         ['NEOWIZ', 'Round8 Studio']     NaN          175   \n",
       "726                               ['Ghost Story Games']     NaN           90   \n",
       "746                   ['Ryū Ga Gotoku Studios', 'Sega']     NaN          118   \n",
       "972   ['Nintendo', 'Nintendo EPD Production Group No...     NaN          581   \n",
       "1130       ['Respawn Entertainment', 'Electronic Arts']     NaN          250   \n",
       "1160  ['Bandai Namco Entertainment', 'MONKEYCRAFT Co...     NaN           51   \n",
       "1202                             ['Extremely OK Games']     NaN           83   \n",
       "1305                         ['Blizzard Entertainment']     NaN          148   \n",
       "1341                                 ['Fizz Creations']     NaN            0   \n",
       "1349                                      ['Eric Lost']     NaN            2   \n",
       "\n",
       "     Number of Reviews                           Genres   \n",
       "587                422                          ['RPG']  \\\n",
       "649                105         ['Adventure', 'Shooter']   \n",
       "713                192                               []   \n",
       "719                175                          ['RPG']   \n",
       "726                 90         ['Adventure', 'Shooter']   \n",
       "746                118  ['Adventure', 'Brawler', 'RPG']   \n",
       "972                581             ['Adventure', 'RPG']   \n",
       "1130               250                    ['Adventure']   \n",
       "1160                51          ['Adventure', 'Puzzle']   \n",
       "1202                83    ['Adventure', 'Indie', 'RPG']   \n",
       "1305               148               ['Brawler', 'RPG']   \n",
       "1341                 0                       ['Arcade']   \n",
       "1349                 2                          ['RPG']   \n",
       "\n",
       "                                                Summary   \n",
       "587   Final Fantasy XVI is an upcoming action role-p...  \\\n",
       "649                                                 NaN   \n",
       "713   This next standalone chapter in the FINAL FANT...   \n",
       "719   Inspired by the familiar story of Pinocchio, L...   \n",
       "726   A disintegrating starship. A desperate escape ...   \n",
       "746   This game covers Kiryu's story between Yakuza ...   \n",
       "972   The Legend of Zelda: Tears of the Kingdom is t...   \n",
       "1130  The story of Cal Kestis continues in Star Wars...   \n",
       "1160  We Love Katamari Reroll + Royal Reverie is a r...   \n",
       "1202  You are Névoa, an enigmatic child of Fate retu...   \n",
       "1305  Endless demons to slaughter. Deep customizatio...   \n",
       "1341  Pac-Man in a Tin is a pocket-sized tin contain...   \n",
       "1349  Pokémon Añil is the fourth video game created ...   \n",
       "\n",
       "                                                Reviews Plays Playing   \n",
       "587                                                  []    37      10  \\\n",
       "649                                                  []     3       0   \n",
       "713                                                  []    20       3   \n",
       "719                                                  []     5       0   \n",
       "726                                                  []     1       0   \n",
       "746                                                  []     2       1   \n",
       "972                                                  []    72       6   \n",
       "1130                                                 []    13       2   \n",
       "1160                                                 []     3       0   \n",
       "1202                                                 []     0       1   \n",
       "1305                                                 []    19      10   \n",
       "1341                                                 []     1       0   \n",
       "1349  ['pokemon HWHAT', 'Finally, after all these ye...     1       0   \n",
       "\n",
       "     Backlogs Wishlist  \n",
       "587       732     2.4K  \n",
       "649       209      644  \n",
       "713       354     1.1K  \n",
       "719       260      939  \n",
       "726        92      437  \n",
       "746       145      588  \n",
       "972      1.6K     5.4K  \n",
       "1130      367     1.4K  \n",
       "1160       74      291  \n",
       "1202      103      529  \n",
       "1305      179      677  \n",
       "1341        1        2  \n",
       "1349        1        7  "
      ]
     },
     "execution_count": 531,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#how do we deal with the null datapoints? 1 in team and quite a few in Rating (I'm not looking at the text columns yet, because those will only be relevant later)\n",
    "nan_rating = games[games['Rating'].isnull()]\n",
    "nan_rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 532,
   "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>Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>Deltarune</td>\n",
       "      <td>releases on TBD</td>\n",
       "      <td>['tobyfox']</td>\n",
       "      <td>4.3</td>\n",
       "      <td>313</td>\n",
       "      <td>313</td>\n",
       "      <td>['Adventure', 'Indie', 'Music', 'Puzzle', 'RPG']</td>\n",
       "      <td>UNDERTALE's parallel story, DELTARUNE. Meet ne...</td>\n",
       "      <td>['Spamton is so hot, I want to kiss him in the...</td>\n",
       "      <td>1.3K</td>\n",
       "      <td>83</td>\n",
       "      <td>468</td>\n",
       "      <td>617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>Death Stranding 2</td>\n",
       "      <td>releases on TBD</td>\n",
       "      <td>['Kojima Productions']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>['Adventure', 'Shooter']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>209</td>\n",
       "      <td>644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1252</th>\n",
       "      <td>Elden Ring: Shadow of the Erdtree</td>\n",
       "      <td>releases on TBD</td>\n",
       "      <td>['FromSoftware', 'Bandai Namco Entertainment']</td>\n",
       "      <td>4.8</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>An expansion to Elden Ring setting players on ...</td>\n",
       "      <td>['I really loved that they integrated Family G...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Title     Release Date   \n",
       "644                           Deltarune  releases on TBD  \\\n",
       "649                   Death Stranding 2  releases on TBD   \n",
       "1252  Elden Ring: Shadow of the Erdtree  releases on TBD   \n",
       "\n",
       "                                                Team  Rating Times Listed   \n",
       "644                                      ['tobyfox']     4.3          313  \\\n",
       "649                           ['Kojima Productions']     NaN          105   \n",
       "1252  ['FromSoftware', 'Bandai Namco Entertainment']     4.8           18   \n",
       "\n",
       "     Number of Reviews                                            Genres   \n",
       "644                313  ['Adventure', 'Indie', 'Music', 'Puzzle', 'RPG']  \\\n",
       "649                105                          ['Adventure', 'Shooter']   \n",
       "1252                18                              ['Adventure', 'RPG']   \n",
       "\n",
       "                                                Summary   \n",
       "644   UNDERTALE's parallel story, DELTARUNE. Meet ne...  \\\n",
       "649                                                 NaN   \n",
       "1252  An expansion to Elden Ring setting players on ...   \n",
       "\n",
       "                                                Reviews Plays Playing   \n",
       "644   ['Spamton is so hot, I want to kiss him in the...  1.3K      83  \\\n",
       "649                                                  []     3       0   \n",
       "1252  ['I really loved that they integrated Family G...     1       0   \n",
       "\n",
       "     Backlogs Wishlist  \n",
       "644       468      617  \n",
       "649       209      644  \n",
       "1252       39      146  "
      ]
     },
     "execution_count": 532,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#furthermore we have 'releases on tbd' in the Release Date column, so videogames who don't even have a decided release date yet\n",
    "release_tbd = games[games['Release Date'] == 'releases on TBD']\n",
    "release_tbd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "metadata": {},
   "outputs": [],
   "source": [
    "# I'm gonna leave the ratings as NaN, because the games were not yet released at the time of the compilation of the dataset\n",
    "# an idea would be to get rid of all the rows of games released after 1.1.2023 because that would get rid of all the NaN all together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 534,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to clean up the dataframe using the release date, i will need to transform this column first\n",
    "# release date is an object right now, we need to transfer it into a readable date\n",
    "games['Release Date'] = pd.to_datetime(games['Release Date'], errors='coerce')\n",
    "games['Release Date'].isnull().sum()\n",
    "# the three null datapoints are the games without the release date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 535,
   "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>Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elden Ring</td>\n",
       "      <td>2022-02-25</td>\n",
       "      <td>['Bandai Namco Entertainment', 'FromSoftware']</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.9K</td>\n",
       "      <td>3.9K</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>Elden Ring is a fantasy, action and open world...</td>\n",
       "      <td>[\"The first playthrough of elden ring is one o...</td>\n",
       "      <td>17K</td>\n",
       "      <td>3.8K</td>\n",
       "      <td>4.6K</td>\n",
       "      <td>4.8K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hades</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>['Supergiant Games']</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2.9K</td>\n",
       "      <td>2.9K</td>\n",
       "      <td>['Adventure', 'Brawler', 'Indie', 'RPG']</td>\n",
       "      <td>A rogue-lite hack and slash dungeon crawler in...</td>\n",
       "      <td>['convinced this is a roguelike for people who...</td>\n",
       "      <td>21K</td>\n",
       "      <td>3.2K</td>\n",
       "      <td>6.3K</td>\n",
       "      <td>3.6K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Legend of Zelda: Breath of the Wild</td>\n",
       "      <td>2017-03-03</td>\n",
       "      <td>['Nintendo', 'Nintendo EPD Production Group No...</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.3K</td>\n",
       "      <td>4.3K</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>The Legend of Zelda: Breath of the Wild is the...</td>\n",
       "      <td>['This game is the game (that is not CS:GO) th...</td>\n",
       "      <td>30K</td>\n",
       "      <td>2.5K</td>\n",
       "      <td>5K</td>\n",
       "      <td>2.6K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Undertale</td>\n",
       "      <td>2015-09-15</td>\n",
       "      <td>['tobyfox', '8-4']</td>\n",
       "      <td>4.2</td>\n",
       "      <td>3.5K</td>\n",
       "      <td>3.5K</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "      <td>A small child falls into the Underground, wher...</td>\n",
       "      <td>['soundtrack is tied for #1 with nier automata...</td>\n",
       "      <td>28K</td>\n",
       "      <td>679</td>\n",
       "      <td>4.9K</td>\n",
       "      <td>1.8K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hollow Knight</td>\n",
       "      <td>2017-02-24</td>\n",
       "      <td>['Team Cherry']</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3K</td>\n",
       "      <td>3K</td>\n",
       "      <td>['Adventure', 'Indie', 'Platform']</td>\n",
       "      <td>A 2D metroidvania with an emphasis on close co...</td>\n",
       "      <td>[\"this games worldbuilding is incredible, with...</td>\n",
       "      <td>21K</td>\n",
       "      <td>2.4K</td>\n",
       "      <td>8.3K</td>\n",
       "      <td>2.3K</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>Back to the Future: The Game</td>\n",
       "      <td>2010-12-22</td>\n",
       "      <td>['Telltale Games']</td>\n",
       "      <td>3.2</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>['Adventure', 'Point-and-Click']</td>\n",
       "      <td>Back to the Future: The Game is one of Telltal...</td>\n",
       "      <td>['Very enjoyable game. The story adds onto the...</td>\n",
       "      <td>763</td>\n",
       "      <td>5</td>\n",
       "      <td>223</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>Team Sonic Racing</td>\n",
       "      <td>2019-05-21</td>\n",
       "      <td>['Sumo Digital', 'Sega']</td>\n",
       "      <td>2.9</td>\n",
       "      <td>264</td>\n",
       "      <td>264</td>\n",
       "      <td>['Arcade', 'Racing']</td>\n",
       "      <td>Team Sonic Racing combines the best elements o...</td>\n",
       "      <td>['jogo morto mas bom', 'not my cup of tea', \"C...</td>\n",
       "      <td>1.5K</td>\n",
       "      <td>49</td>\n",
       "      <td>413</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>Dragon's Dogma</td>\n",
       "      <td>2012-05-22</td>\n",
       "      <td>['Capcom']</td>\n",
       "      <td>3.7</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>['Brawler', 'RPG']</td>\n",
       "      <td>Set in a huge open world, Dragon’s Dogma: Dark...</td>\n",
       "      <td>['Underrated.', 'A grandes rasgos, es como un ...</td>\n",
       "      <td>1.1K</td>\n",
       "      <td>45</td>\n",
       "      <td>487</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>Baldur's Gate 3</td>\n",
       "      <td>2020-10-06</td>\n",
       "      <td>['Larian Studios']</td>\n",
       "      <td>4.1</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>['Adventure', 'RPG', 'Strategy', 'Tactical', '...</td>\n",
       "      <td>An ancient evil has returned to Baldur's Gate,...</td>\n",
       "      <td>['Bu türe bu oyunla girmeye çalışmak hataydı s...</td>\n",
       "      <td>269</td>\n",
       "      <td>79</td>\n",
       "      <td>388</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>The LEGO Movie Videogame</td>\n",
       "      <td>2014-02-04</td>\n",
       "      <td>['WB Games', 'TT Fusion']</td>\n",
       "      <td>2.8</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>['Adventure', 'Puzzle']</td>\n",
       "      <td>Join Emmet and an unlikely group of resistance...</td>\n",
       "      <td>['Legal', 'Pretty Average Lego Game But It Was...</td>\n",
       "      <td>1.7K</td>\n",
       "      <td>11</td>\n",
       "      <td>239</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1469 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Title Release Date   \n",
       "0                                  Elden Ring   2022-02-25  \\\n",
       "1                                       Hades   2019-12-10   \n",
       "2     The Legend of Zelda: Breath of the Wild   2017-03-03   \n",
       "3                                   Undertale   2015-09-15   \n",
       "4                               Hollow Knight   2017-02-24   \n",
       "...                                       ...          ...   \n",
       "1507             Back to the Future: The Game   2010-12-22   \n",
       "1508                        Team Sonic Racing   2019-05-21   \n",
       "1509                           Dragon's Dogma   2012-05-22   \n",
       "1510                          Baldur's Gate 3   2020-10-06   \n",
       "1511                 The LEGO Movie Videogame   2014-02-04   \n",
       "\n",
       "                                                   Team  Rating Times Listed   \n",
       "0        ['Bandai Namco Entertainment', 'FromSoftware']     4.5         3.9K  \\\n",
       "1                                  ['Supergiant Games']     4.3         2.9K   \n",
       "2     ['Nintendo', 'Nintendo EPD Production Group No...     4.4         4.3K   \n",
       "3                                    ['tobyfox', '8-4']     4.2         3.5K   \n",
       "4                                       ['Team Cherry']     4.4           3K   \n",
       "...                                                 ...     ...          ...   \n",
       "1507                                 ['Telltale Games']     3.2           94   \n",
       "1508                           ['Sumo Digital', 'Sega']     2.9          264   \n",
       "1509                                         ['Capcom']     3.7          210   \n",
       "1510                                 ['Larian Studios']     4.1          165   \n",
       "1511                          ['WB Games', 'TT Fusion']     2.8          184   \n",
       "\n",
       "     Number of Reviews                                             Genres   \n",
       "0                 3.9K                               ['Adventure', 'RPG']  \\\n",
       "1                 2.9K           ['Adventure', 'Brawler', 'Indie', 'RPG']   \n",
       "2                 4.3K                               ['Adventure', 'RPG']   \n",
       "3                 3.5K  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
       "4                   3K                 ['Adventure', 'Indie', 'Platform']   \n",
       "...                ...                                                ...   \n",
       "1507                94                   ['Adventure', 'Point-and-Click']   \n",
       "1508               264                               ['Arcade', 'Racing']   \n",
       "1509               210                                 ['Brawler', 'RPG']   \n",
       "1510               165  ['Adventure', 'RPG', 'Strategy', 'Tactical', '...   \n",
       "1511               184                            ['Adventure', 'Puzzle']   \n",
       "\n",
       "                                                Summary   \n",
       "0     Elden Ring is a fantasy, action and open world...  \\\n",
       "1     A rogue-lite hack and slash dungeon crawler in...   \n",
       "2     The Legend of Zelda: Breath of the Wild is the...   \n",
       "3     A small child falls into the Underground, wher...   \n",
       "4     A 2D metroidvania with an emphasis on close co...   \n",
       "...                                                 ...   \n",
       "1507  Back to the Future: The Game is one of Telltal...   \n",
       "1508  Team Sonic Racing combines the best elements o...   \n",
       "1509  Set in a huge open world, Dragon’s Dogma: Dark...   \n",
       "1510  An ancient evil has returned to Baldur's Gate,...   \n",
       "1511  Join Emmet and an unlikely group of resistance...   \n",
       "\n",
       "                                                Reviews Plays Playing   \n",
       "0     [\"The first playthrough of elden ring is one o...   17K    3.8K  \\\n",
       "1     ['convinced this is a roguelike for people who...   21K    3.2K   \n",
       "2     ['This game is the game (that is not CS:GO) th...   30K    2.5K   \n",
       "3     ['soundtrack is tied for #1 with nier automata...   28K     679   \n",
       "4     [\"this games worldbuilding is incredible, with...   21K    2.4K   \n",
       "...                                                 ...   ...     ...   \n",
       "1507  ['Very enjoyable game. The story adds onto the...   763       5   \n",
       "1508  ['jogo morto mas bom', 'not my cup of tea', \"C...  1.5K      49   \n",
       "1509  ['Underrated.', 'A grandes rasgos, es como un ...  1.1K      45   \n",
       "1510  ['Bu türe bu oyunla girmeye çalışmak hataydı s...   269      79   \n",
       "1511  ['Legal', 'Pretty Average Lego Game But It Was...  1.7K      11   \n",
       "\n",
       "     Backlogs Wishlist  \n",
       "0        4.6K     4.8K  \n",
       "1        6.3K     3.6K  \n",
       "2          5K     2.6K  \n",
       "3        4.9K     1.8K  \n",
       "4        8.3K     2.3K  \n",
       "...       ...      ...  \n",
       "1507      223       67  \n",
       "1508      413      107  \n",
       "1509      487      206  \n",
       "1510      388      602  \n",
       "1511      239       73  \n",
       "\n",
       "[1469 rows x 13 columns]"
      ]
     },
     "execution_count": 535,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop the rows of games from 2023 to get rid of the NaN\n",
    "games = games[games['Release Date'] < '2023-01-01']\n",
    "games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 536,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title                0\n",
      "Release Date         0\n",
      "Team                 1\n",
      "Rating               0\n",
      "Times Listed         0\n",
      "Number of Reviews    0\n",
      "Genres               0\n",
      "Summary              0\n",
      "Reviews              0\n",
      "Plays                0\n",
      "Playing              0\n",
      "Backlogs             0\n",
      "Wishlist             0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#now we check for null datapoints again\n",
    "print(games.isnull().sum())\n",
    "#and see that there are no more left except for one in team"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 537,
   "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>Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1245</th>\n",
       "      <td>NEET Girl Date Night</td>\n",
       "      <td>2022-10-21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.7</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>['Visual Novel']</td>\n",
       "      <td>Your friend sets you up on a date with his NEE...</td>\n",
       "      <td>['this sucked. \"Omg she is literally me\" is no...</td>\n",
       "      <td>106</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Title Release Date Team  Rating Times Listed   \n",
       "1245  NEET Girl Date Night   2022-10-21  NaN     2.7           21  \\\n",
       "\n",
       "     Number of Reviews            Genres   \n",
       "1245                21  ['Visual Novel']  \\\n",
       "\n",
       "                                                Summary   \n",
       "1245  Your friend sets you up on a date with his NEE...  \\\n",
       "\n",
       "                                                Reviews Plays Playing   \n",
       "1245  ['this sucked. \"Omg she is literally me\" is no...   106       1  \\\n",
       "\n",
       "     Backlogs Wishlist  \n",
       "1245       44       42  "
      ]
     },
     "execution_count": 537,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_team = games[games['Team'].isnull()]\n",
    "nan_team"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 538,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title                                             NEET Girl Date Night\n",
       "Release Date                                       2022-10-21 00:00:00\n",
       "Team                                                         [Hitsuji]\n",
       "Rating                                                             2.7\n",
       "Times Listed                                                        21\n",
       "Number of Reviews                                                   21\n",
       "Genres                                                ['Visual Novel']\n",
       "Summary              Your friend sets you up on a date with his NEE...\n",
       "Reviews              ['this sucked. \"Omg she is literally me\" is no...\n",
       "Plays                                                              106\n",
       "Playing                                                              1\n",
       "Backlogs                                                            44\n",
       "Wishlist                                                            42\n",
       "Name: 1245, dtype: object"
      ]
     },
     "execution_count": 538,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#so i looked up the Team that made the game and filled in the datapoint\n",
    "games.loc[1245, 'Team'] = ['Hitsuji']\n",
    "games.loc[1245, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 539,
   "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>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3900</td>\n",
       "      <td>3900</td>\n",
       "      <td>17000</td>\n",
       "      <td>3800</td>\n",
       "      <td>4600</td>\n",
       "      <td>4800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2900</td>\n",
       "      <td>2900</td>\n",
       "      <td>21000</td>\n",
       "      <td>3200</td>\n",
       "      <td>6300</td>\n",
       "      <td>3600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4300</td>\n",
       "      <td>4300</td>\n",
       "      <td>30000</td>\n",
       "      <td>2500</td>\n",
       "      <td>5000</td>\n",
       "      <td>2600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3500</td>\n",
       "      <td>3500</td>\n",
       "      <td>28000</td>\n",
       "      <td>679</td>\n",
       "      <td>4900</td>\n",
       "      <td>1800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>21000</td>\n",
       "      <td>2400</td>\n",
       "      <td>8300</td>\n",
       "      <td>2300</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>763</td>\n",
       "      <td>5</td>\n",
       "      <td>223</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>264</td>\n",
       "      <td>264</td>\n",
       "      <td>1500</td>\n",
       "      <td>49</td>\n",
       "      <td>413</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>1100</td>\n",
       "      <td>45</td>\n",
       "      <td>487</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>269</td>\n",
       "      <td>79</td>\n",
       "      <td>388</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>1700</td>\n",
       "      <td>11</td>\n",
       "      <td>239</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1469 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Times Listed  Number of Reviews  Plays  Playing  Backlogs  Wishlist\n",
       "0             3900               3900  17000     3800      4600      4800\n",
       "1             2900               2900  21000     3200      6300      3600\n",
       "2             4300               4300  30000     2500      5000      2600\n",
       "3             3500               3500  28000      679      4900      1800\n",
       "4             3000               3000  21000     2400      8300      2300\n",
       "...            ...                ...    ...      ...       ...       ...\n",
       "1507            94                 94    763        5       223        67\n",
       "1508           264                264   1500       49       413       107\n",
       "1509           210                210   1100       45       487       206\n",
       "1510           165                165    269       79       388       602\n",
       "1511           184                184   1700       11       239        73\n",
       "\n",
       "[1469 rows x 6 columns]"
      ]
     },
     "execution_count": 539,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#let's continue with the datatransformation\n",
    "#transforming K to number so we can work with it in calculations and plot\n",
    "#I don't need to transform 'Rating' because this column is already and correctly the datatype float\n",
    "numeric_columns = ['Times Listed', 'Number of Reviews', 'Plays', 'Playing', 'Backlogs', 'Wishlist']\n",
    "games_to_numeric = games[numeric_columns].applymap(lambda number: number.replace('K', 'e3'))\n",
    "\n",
    "#convert to integer\n",
    "games_to_numeric = games_to_numeric[numeric_columns].apply(pd.to_numeric, downcast='integer')\n",
    "games_to_numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 540,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                        Title Release Date   \n",
      "0                                  Elden Ring   2022-02-25  \\\n",
      "1                                       Hades   2019-12-10   \n",
      "2     The Legend of Zelda: Breath of the Wild   2017-03-03   \n",
      "3                                   Undertale   2015-09-15   \n",
      "4                               Hollow Knight   2017-02-24   \n",
      "...                                       ...          ...   \n",
      "1507             Back to the Future: The Game   2010-12-22   \n",
      "1508                        Team Sonic Racing   2019-05-21   \n",
      "1509                           Dragon's Dogma   2012-05-22   \n",
      "1510                          Baldur's Gate 3   2020-10-06   \n",
      "1511                 The LEGO Movie Videogame   2014-02-04   \n",
      "\n",
      "                                                   Team  Rating  Times Listed   \n",
      "0        ['Bandai Namco Entertainment', 'FromSoftware']     4.5          3900  \\\n",
      "1                                  ['Supergiant Games']     4.3          2900   \n",
      "2     ['Nintendo', 'Nintendo EPD Production Group No...     4.4          4300   \n",
      "3                                    ['tobyfox', '8-4']     4.2          3500   \n",
      "4                                       ['Team Cherry']     4.4          3000   \n",
      "...                                                 ...     ...           ...   \n",
      "1507                                 ['Telltale Games']     3.2            94   \n",
      "1508                           ['Sumo Digital', 'Sega']     2.9           264   \n",
      "1509                                         ['Capcom']     3.7           210   \n",
      "1510                                 ['Larian Studios']     4.1           165   \n",
      "1511                          ['WB Games', 'TT Fusion']     2.8           184   \n",
      "\n",
      "      Number of Reviews                                             Genres   \n",
      "0                  3900                               ['Adventure', 'RPG']  \\\n",
      "1                  2900           ['Adventure', 'Brawler', 'Indie', 'RPG']   \n",
      "2                  4300                               ['Adventure', 'RPG']   \n",
      "3                  3500  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
      "4                  3000                 ['Adventure', 'Indie', 'Platform']   \n",
      "...                 ...                                                ...   \n",
      "1507                 94                   ['Adventure', 'Point-and-Click']   \n",
      "1508                264                               ['Arcade', 'Racing']   \n",
      "1509                210                                 ['Brawler', 'RPG']   \n",
      "1510                165  ['Adventure', 'RPG', 'Strategy', 'Tactical', '...   \n",
      "1511                184                            ['Adventure', 'Puzzle']   \n",
      "\n",
      "                                                Summary   \n",
      "0     Elden Ring is a fantasy, action and open world...  \\\n",
      "1     A rogue-lite hack and slash dungeon crawler in...   \n",
      "2     The Legend of Zelda: Breath of the Wild is the...   \n",
      "3     A small child falls into the Underground, wher...   \n",
      "4     A 2D metroidvania with an emphasis on close co...   \n",
      "...                                                 ...   \n",
      "1507  Back to the Future: The Game is one of Telltal...   \n",
      "1508  Team Sonic Racing combines the best elements o...   \n",
      "1509  Set in a huge open world, Dragon’s Dogma: Dark...   \n",
      "1510  An ancient evil has returned to Baldur's Gate,...   \n",
      "1511  Join Emmet and an unlikely group of resistance...   \n",
      "\n",
      "                                                Reviews  Plays  Playing   \n",
      "0     [\"The first playthrough of elden ring is one o...  17000     3800  \\\n",
      "1     ['convinced this is a roguelike for people who...  21000     3200   \n",
      "2     ['This game is the game (that is not CS:GO) th...  30000     2500   \n",
      "3     ['soundtrack is tied for #1 with nier automata...  28000      679   \n",
      "4     [\"this games worldbuilding is incredible, with...  21000     2400   \n",
      "...                                                 ...    ...      ...   \n",
      "1507  ['Very enjoyable game. The story adds onto the...    763        5   \n",
      "1508  ['jogo morto mas bom', 'not my cup of tea', \"C...   1500       49   \n",
      "1509  ['Underrated.', 'A grandes rasgos, es como un ...   1100       45   \n",
      "1510  ['Bu türe bu oyunla girmeye çalışmak hataydı s...    269       79   \n",
      "1511  ['Legal', 'Pretty Average Lego Game But It Was...   1700       11   \n",
      "\n",
      "      Backlogs  Wishlist  \n",
      "0         4600      4800  \n",
      "1         6300      3600  \n",
      "2         5000      2600  \n",
      "3         4900      1800  \n",
      "4         8300      2300  \n",
      "...        ...       ...  \n",
      "1507       223        67  \n",
      "1508       413       107  \n",
      "1509       487       206  \n",
      "1510       388       602  \n",
      "1511       239        73  \n",
      "\n",
      "[1469 rows x 13 columns]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\matte\\AppData\\Local\\Temp\\ipykernel_4164\\749112871.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  games[numeric_columns] = games_to_numeric[numeric_columns]\n"
     ]
    }
   ],
   "source": [
    "#replace the columns\n",
    "games[numeric_columns] = games_to_numeric[numeric_columns]\n",
    "print(games)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 541,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1469 entries, 0 to 1511\n",
      "Data columns (total 13 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   Title              1469 non-null   object        \n",
      " 1   Release Date       1469 non-null   datetime64[ns]\n",
      " 2   Team               1469 non-null   object        \n",
      " 3   Rating             1469 non-null   float64       \n",
      " 4   Times Listed       1469 non-null   int16         \n",
      " 5   Number of Reviews  1469 non-null   int16         \n",
      " 6   Genres             1469 non-null   object        \n",
      " 7   Summary            1469 non-null   object        \n",
      " 8   Reviews            1469 non-null   object        \n",
      " 9   Plays              1469 non-null   int32         \n",
      " 10  Playing            1469 non-null   int16         \n",
      " 11  Backlogs           1469 non-null   int16         \n",
      " 12  Wishlist           1469 non-null   int16         \n",
      "dtypes: datetime64[ns](1), float64(1), int16(5), int32(1), object(5)\n",
      "memory usage: 144.2+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "#check the datatypes again\n",
    "games_info = games.info()\n",
    "print(games_info)\n",
    "# now all the columns containing numbers have been transformed into the proper data type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "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>Release Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1469</td>\n",
       "      <td>1469.000000</td>\n",
       "      <td>1469.000000</td>\n",
       "      <td>1469.000000</td>\n",
       "      <td>1469.000000</td>\n",
       "      <td>1469.000000</td>\n",
       "      <td>1469.000000</td>\n",
       "      <td>1469.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2012-06-03 10:09:43.253914112</td>\n",
       "      <td>3.720490</td>\n",
       "      <td>784.197413</td>\n",
       "      <td>784.197413</td>\n",
       "      <td>6418.984343</td>\n",
       "      <td>269.180395</td>\n",
       "      <td>1481.672566</td>\n",
       "      <td>775.630361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1980-05-22 00:00:00</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2007-03-29 00:00:00</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>482.000000</td>\n",
       "      <td>212.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2014-03-18 00:00:00</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>566.000000</td>\n",
       "      <td>566.000000</td>\n",
       "      <td>4400.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>494.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2019-04-26 00:00:00</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>9200.000000</td>\n",
       "      <td>301.000000</td>\n",
       "      <td>2100.000000</td>\n",
       "      <td>1100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2022-12-15 00:00:00</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>4300.000000</td>\n",
       "      <td>4300.000000</td>\n",
       "      <td>33000.000000</td>\n",
       "      <td>3800.000000</td>\n",
       "      <td>8300.000000</td>\n",
       "      <td>4800.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.522982</td>\n",
       "      <td>690.966362</td>\n",
       "      <td>690.966362</td>\n",
       "      <td>5897.876347</td>\n",
       "      <td>429.486630</td>\n",
       "      <td>1348.088729</td>\n",
       "      <td>794.738761</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Release Date       Rating  Times Listed   \n",
       "count                           1469  1469.000000   1469.000000  \\\n",
       "mean   2012-06-03 10:09:43.253914112     3.720490    784.197413   \n",
       "min              1980-05-22 00:00:00     0.700000      8.000000   \n",
       "25%              2007-03-29 00:00:00     3.400000    296.000000   \n",
       "50%              2014-03-18 00:00:00     3.800000    566.000000   \n",
       "75%              2019-04-26 00:00:00     4.100000   1000.000000   \n",
       "max              2022-12-15 00:00:00     4.600000   4300.000000   \n",
       "std                              NaN     0.522982    690.966362   \n",
       "\n",
       "       Number of Reviews         Plays      Playing     Backlogs     Wishlist  \n",
       "count        1469.000000   1469.000000  1469.000000  1469.000000  1469.000000  \n",
       "mean          784.197413   6418.984343   269.180395  1481.672566   775.630361  \n",
       "min             8.000000      8.000000     0.000000     9.000000     2.000000  \n",
       "25%           296.000000   1900.000000    44.000000   482.000000   212.000000  \n",
       "50%           566.000000   4400.000000   115.000000  1000.000000   494.000000  \n",
       "75%          1000.000000   9200.000000   301.000000  2100.000000  1100.000000  \n",
       "max          4300.000000  33000.000000  3800.000000  8300.000000  4800.000000  \n",
       "std           690.966362   5897.876347   429.486630  1348.088729   794.738761  "
      ]
     },
     "execution_count": 542,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# I want to visualized the numeric columns\n",
    "boxplots = games.describe()\n",
    "boxplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 543,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "sns.boxplot(data=boxplots, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 544,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                       Title Release Date   \n",
      "0                                 Elden Ring   2022-02-25  \\\n",
      "1                                      Hades   2019-12-10   \n",
      "2    The Legend of Zelda: Breath of the Wild   2017-03-03   \n",
      "3                                  Undertale   2015-09-15   \n",
      "4                              Hollow Knight   2017-02-24   \n",
      "..                                       ...          ...   \n",
      "877                            Borderlands 2   2012-09-18   \n",
      "891                            Rocket League   2015-07-06   \n",
      "896                               Wii Sports   2006-11-19   \n",
      "898                           Mario Kart Wii   2008-04-10   \n",
      "910                          Pokémon Emerald   2004-09-16   \n",
      "\n",
      "                                                  Team  Rating  Times Listed   \n",
      "0       ['Bandai Namco Entertainment', 'FromSoftware']     4.5          3900  \\\n",
      "1                                 ['Supergiant Games']     4.3          2900   \n",
      "2    ['Nintendo', 'Nintendo EPD Production Group No...     4.4          4300   \n",
      "3                                   ['tobyfox', '8-4']     4.2          3500   \n",
      "4                                      ['Team Cherry']     4.4          3000   \n",
      "..                                                 ...     ...           ...   \n",
      "877                   ['Gearbox Software', '2K Games']     3.5          1100   \n",
      "891                                        ['Psyonix']     3.4           917   \n",
      "896           ['Nintendo', 'Nintendo EAD Group No. 2']     3.7           775   \n",
      "898                       ['Nintendo', 'Nintendo EAD']     3.9          1000   \n",
      "910                         ['Nintendo', 'Game Freak']     4.0          1200   \n",
      "\n",
      "     Number of Reviews                                             Genres   \n",
      "0                 3900                               ['Adventure', 'RPG']  \\\n",
      "1                 2900           ['Adventure', 'Brawler', 'Indie', 'RPG']   \n",
      "2                 4300                               ['Adventure', 'RPG']   \n",
      "3                 3500  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
      "4                 3000                 ['Adventure', 'Indie', 'Platform']   \n",
      "..                 ...                                                ...   \n",
      "877               1100                                 ['RPG', 'Shooter']   \n",
      "891                917                       ['Indie', 'Racing', 'Sport']   \n",
      "896                775                             ['Simulator', 'Sport']   \n",
      "898               1000                                         ['Racing']   \n",
      "910               1200        ['Adventure', 'RPG', 'Turn Based Strategy']   \n",
      "\n",
      "                                               Summary   \n",
      "0    Elden Ring is a fantasy, action and open world...  \\\n",
      "1    A rogue-lite hack and slash dungeon crawler in...   \n",
      "2    The Legend of Zelda: Breath of the Wild is the...   \n",
      "3    A small child falls into the Underground, wher...   \n",
      "4    A 2D metroidvania with an emphasis on close co...   \n",
      "..                                                 ...   \n",
      "877  A new era of shoot and loot is about to begin....   \n",
      "891  Rocket League is a high-powered hybrid of arca...   \n",
      "896  Bowl like a pro or go for that home run...\\n  ...   \n",
      "898  Mario Kart Wii is a multiplayer-oriented racin...   \n",
      "910  Pokémon Emerald Version is a sister game to Po...   \n",
      "\n",
      "                                               Reviews  Plays  Playing   \n",
      "0    [\"The first playthrough of elden ring is one o...  17000     3800  \\\n",
      "1    ['convinced this is a roguelike for people who...  21000     3200   \n",
      "2    ['This game is the game (that is not CS:GO) th...  30000     2500   \n",
      "3    ['soundtrack is tied for #1 with nier automata...  28000      679   \n",
      "4    [\"this games worldbuilding is incredible, with...  21000     2400   \n",
      "..                                                 ...    ...      ...   \n",
      "877  ['Hated this game when it came out, still hate...  16000      344   \n",
      "891  [\"Fun if you're good. And not alone.\", 'nostal...  17000      564   \n",
      "896  [\"The perfect arcade game. Another type of gam...  18000       39   \n",
      "898  [\"Completed to fulfill a childhood dream and i...  19000       88   \n",
      "910  ['Is my most replayed pokemon with SoulSilver'...  16000      219   \n",
      "\n",
      "     Backlogs  Wishlist  \n",
      "0        4600      4800  \n",
      "1        6300      3600  \n",
      "2        5000      2600  \n",
      "3        4900      1800  \n",
      "4        8300      2300  \n",
      "..        ...       ...  \n",
      "877      2700       494  \n",
      "891       698       113  \n",
      "896       320        93  \n",
      "898       461       168  \n",
      "910      1000       376  \n",
      "\n",
      "[130 rows x 13 columns]\n"
     ]
    }
   ],
   "source": [
    "#the dataframe seems to have possible outliers and the different numeric columns are all on very different scales\n",
    "# so I first check the plays column for games past the upper whisker\n",
    "lots_of_plays = games[games['Plays'] > 15000]\n",
    "print(lots_of_plays)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 545,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x600 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# subplots in one row instead of one plot with different boxplots\n",
    "fig, ax = plt.subplots(1, 7, figsize=(18, 6))\n",
    "\n",
    "# draw boxplots - for one column in each subplot\n",
    "games.boxplot('Rating', ax=ax[0])\n",
    "games.boxplot('Times Listed', ax=ax[1])\n",
    "games.boxplot('Number of Reviews', ax=ax[2])\n",
    "games.boxplot('Plays', ax=ax[3])\n",
    "games.boxplot('Playing', ax=ax[4])\n",
    "games.boxplot('Backlogs', ax=ax[5])\n",
    "games.boxplot('Wishlist', ax=ax[6])\n",
    "\n",
    "plt.subplots_adjust(wspace=0.5) \n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 546,
   "metadata": {},
   "outputs": [],
   "source": [
    "#the further examinations show that those datapoints probably aren't any outliers, but rather very popular games that differ from the majority of the games in the data set\n",
    "#that's probably why (except for rating) the median points for all the other numeric columns are on the lower end of each plot, yet there are many datapoints outside the upper whisker\n",
    "#(those are the fewer games that are the most popular)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 547,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Year  Number_of_Games\n",
      "37  1980                1\n",
      "39  1982                1\n",
      "38  1985                1\n",
      "35  1986                4\n",
      "36  1987                3\n",
      "34  1988                5\n",
      "33  1989                5\n",
      "32  1990                6\n",
      "30  1991               11\n",
      "31  1992                6\n",
      "28  1993               12\n",
      "29  1994               11\n",
      "27  1995               12\n",
      "25  1996               15\n",
      "23  1997               18\n",
      "24  1998               16\n",
      "21  1999               25\n",
      "26  2000               15\n",
      "19  2001               30\n",
      "22  2002               22\n",
      "20  2003               26\n",
      "17  2004               37\n",
      "15  2005               41\n",
      "18  2006               32\n",
      "13  2007               50\n",
      "14  2008               44\n",
      "16  2009               40\n",
      "11  2010               58\n",
      "12  2011               50\n",
      "9   2012               60\n",
      "8   2013               68\n",
      "10  2014               59\n",
      "6   2015               73\n",
      "4   2016               75\n",
      "7   2017               70\n",
      "3   2018               77\n",
      "2   2019               87\n",
      "5   2020               74\n",
      "1   2021               97\n",
      "0   2022              132\n"
     ]
    }
   ],
   "source": [
    "#now let's look at games per year\n",
    "# extracting the year from the 'Release Date' column and convert it to an integer\n",
    "year = games['Release Date'].dt.year.astype('Int64')\n",
    "\n",
    "#i'm gonna create a new dataFrame with the year and the count of games for each year\n",
    "games_by_year = year.value_counts().reset_index()\n",
    "games_by_year.columns = ['Year', 'Number_of_Games']\n",
    "games_by_year = games_by_year.sort_values(by='Year')\n",
    "print(games_by_year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 548,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#now i'm plotting it as a line graph to show the development over the years\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.plot(games_by_year['Year'], games_by_year['Number_of_Games'], marker='o')\n",
    "\n",
    "plt.title('Development of Games per Year')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Number of Games')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 549,
   "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>Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Times Listed</th>\n",
       "      <th>Number of Reviews</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Summary</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Plays</th>\n",
       "      <th>Playing</th>\n",
       "      <th>Backlogs</th>\n",
       "      <th>Wishlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elden Ring</td>\n",
       "      <td>2022-02-25</td>\n",
       "      <td>['Bandai Namco Entertainment', 'FromSoftware']</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3900</td>\n",
       "      <td>3900</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>Elden Ring is a fantasy, action and open world...</td>\n",
       "      <td>[\"The first playthrough of elden ring is one o...</td>\n",
       "      <td>17000</td>\n",
       "      <td>3800</td>\n",
       "      <td>4600</td>\n",
       "      <td>4800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hades</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>['Supergiant Games']</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2900</td>\n",
       "      <td>2900</td>\n",
       "      <td>['Adventure', 'Brawler', 'Indie', 'RPG']</td>\n",
       "      <td>A rogue-lite hack and slash dungeon crawler in...</td>\n",
       "      <td>['convinced this is a roguelike for people who...</td>\n",
       "      <td>21000</td>\n",
       "      <td>3200</td>\n",
       "      <td>6300</td>\n",
       "      <td>3600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Legend of Zelda: Breath of the Wild</td>\n",
       "      <td>2017-03-03</td>\n",
       "      <td>['Nintendo', 'Nintendo EPD Production Group No...</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4300</td>\n",
       "      <td>4300</td>\n",
       "      <td>['Adventure', 'RPG']</td>\n",
       "      <td>The Legend of Zelda: Breath of the Wild is the...</td>\n",
       "      <td>['This game is the game (that is not CS:GO) th...</td>\n",
       "      <td>30000</td>\n",
       "      <td>2500</td>\n",
       "      <td>5000</td>\n",
       "      <td>2600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Undertale</td>\n",
       "      <td>2015-09-15</td>\n",
       "      <td>['tobyfox', '8-4']</td>\n",
       "      <td>4.2</td>\n",
       "      <td>3500</td>\n",
       "      <td>3500</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "      <td>A small child falls into the Underground, wher...</td>\n",
       "      <td>['soundtrack is tied for #1 with nier automata...</td>\n",
       "      <td>28000</td>\n",
       "      <td>679</td>\n",
       "      <td>4900</td>\n",
       "      <td>1800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Omori</td>\n",
       "      <td>2020-12-25</td>\n",
       "      <td>['OMOCAT', 'PLAYISM']</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1600</td>\n",
       "      <td>1600</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "      <td>A turn-based surreal horror RPG in which a chi...</td>\n",
       "      <td>[\"The best game I've played in my life\", \"omor...</td>\n",
       "      <td>7200</td>\n",
       "      <td>1100</td>\n",
       "      <td>4500</td>\n",
       "      <td>3800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1487</th>\n",
       "      <td>Lisa the Joyful</td>\n",
       "      <td>2015-08-24</td>\n",
       "      <td>['Dingaling']</td>\n",
       "      <td>3.7</td>\n",
       "      <td>126</td>\n",
       "      <td>126</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "      <td>Traverse the world as Buddy. Stake your claim ...</td>\n",
       "      <td>[\"This is essentially just a dungeon crawler a...</td>\n",
       "      <td>1000</td>\n",
       "      <td>7</td>\n",
       "      <td>358</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1489</th>\n",
       "      <td>Kingdoms of Amalur: Reckoning</td>\n",
       "      <td>2012-02-07</td>\n",
       "      <td>['38 Studios', 'Electronic Arts']</td>\n",
       "      <td>3.2</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>['Brawler', 'RPG']</td>\n",
       "      <td>Kingdoms of Amalur: Reckoning is an epic, open...</td>\n",
       "      <td>[\"As the first RPG that introduced me to the g...</td>\n",
       "      <td>1200</td>\n",
       "      <td>22</td>\n",
       "      <td>365</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1500</th>\n",
       "      <td>Children of Morta</td>\n",
       "      <td>2019-09-03</td>\n",
       "      <td>['Dead Mage', '11 bit studios']</td>\n",
       "      <td>3.4</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG']</td>\n",
       "      <td>Children of Morta is a narrative driven hack a...</td>\n",
       "      <td>[\"It's a reasonably solid rogue-lite RPG. The ...</td>\n",
       "      <td>727</td>\n",
       "      <td>54</td>\n",
       "      <td>385</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1509</th>\n",
       "      <td>Dragon's Dogma</td>\n",
       "      <td>2012-05-22</td>\n",
       "      <td>['Capcom']</td>\n",
       "      <td>3.7</td>\n",
       "      <td>210</td>\n",
       "      <td>210</td>\n",
       "      <td>['Brawler', 'RPG']</td>\n",
       "      <td>Set in a huge open world, Dragon’s Dogma: Dark...</td>\n",
       "      <td>['Underrated.', 'A grandes rasgos, es como un ...</td>\n",
       "      <td>1100</td>\n",
       "      <td>45</td>\n",
       "      <td>487</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>Baldur's Gate 3</td>\n",
       "      <td>2020-10-06</td>\n",
       "      <td>['Larian Studios']</td>\n",
       "      <td>4.1</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>['Adventure', 'RPG', 'Strategy', 'Tactical', '...</td>\n",
       "      <td>An ancient evil has returned to Baldur's Gate,...</td>\n",
       "      <td>['Bu türe bu oyunla girmeye çalışmak hataydı s...</td>\n",
       "      <td>269</td>\n",
       "      <td>79</td>\n",
       "      <td>388</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>499 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Title Release Date   \n",
       "0                                  Elden Ring   2022-02-25  \\\n",
       "1                                       Hades   2019-12-10   \n",
       "2     The Legend of Zelda: Breath of the Wild   2017-03-03   \n",
       "3                                   Undertale   2015-09-15   \n",
       "6                                       Omori   2020-12-25   \n",
       "...                                       ...          ...   \n",
       "1487                          Lisa the Joyful   2015-08-24   \n",
       "1489            Kingdoms of Amalur: Reckoning   2012-02-07   \n",
       "1500                        Children of Morta   2019-09-03   \n",
       "1509                           Dragon's Dogma   2012-05-22   \n",
       "1510                          Baldur's Gate 3   2020-10-06   \n",
       "\n",
       "                                                   Team  Rating  Times Listed   \n",
       "0        ['Bandai Namco Entertainment', 'FromSoftware']     4.5          3900  \\\n",
       "1                                  ['Supergiant Games']     4.3          2900   \n",
       "2     ['Nintendo', 'Nintendo EPD Production Group No...     4.4          4300   \n",
       "3                                    ['tobyfox', '8-4']     4.2          3500   \n",
       "6                                 ['OMOCAT', 'PLAYISM']     4.2          1600   \n",
       "...                                                 ...     ...           ...   \n",
       "1487                                      ['Dingaling']     3.7           126   \n",
       "1489                  ['38 Studios', 'Electronic Arts']     3.2            99   \n",
       "1500                    ['Dead Mage', '11 bit studios']     3.4           153   \n",
       "1509                                         ['Capcom']     3.7           210   \n",
       "1510                                 ['Larian Studios']     4.1           165   \n",
       "\n",
       "      Number of Reviews                                             Genres   \n",
       "0                  3900                               ['Adventure', 'RPG']  \\\n",
       "1                  2900           ['Adventure', 'Brawler', 'Indie', 'RPG']   \n",
       "2                  4300                               ['Adventure', 'RPG']   \n",
       "3                  3500  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
       "6                  1600  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
       "...                 ...                                                ...   \n",
       "1487                126  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
       "1489                 99                                 ['Brawler', 'RPG']   \n",
       "1500                153                      ['Adventure', 'Indie', 'RPG']   \n",
       "1509                210                                 ['Brawler', 'RPG']   \n",
       "1510                165  ['Adventure', 'RPG', 'Strategy', 'Tactical', '...   \n",
       "\n",
       "                                                Summary   \n",
       "0     Elden Ring is a fantasy, action and open world...  \\\n",
       "1     A rogue-lite hack and slash dungeon crawler in...   \n",
       "2     The Legend of Zelda: Breath of the Wild is the...   \n",
       "3     A small child falls into the Underground, wher...   \n",
       "6     A turn-based surreal horror RPG in which a chi...   \n",
       "...                                                 ...   \n",
       "1487  Traverse the world as Buddy. Stake your claim ...   \n",
       "1489  Kingdoms of Amalur: Reckoning is an epic, open...   \n",
       "1500  Children of Morta is a narrative driven hack a...   \n",
       "1509  Set in a huge open world, Dragon’s Dogma: Dark...   \n",
       "1510  An ancient evil has returned to Baldur's Gate,...   \n",
       "\n",
       "                                                Reviews  Plays  Playing   \n",
       "0     [\"The first playthrough of elden ring is one o...  17000     3800  \\\n",
       "1     ['convinced this is a roguelike for people who...  21000     3200   \n",
       "2     ['This game is the game (that is not CS:GO) th...  30000     2500   \n",
       "3     ['soundtrack is tied for #1 with nier automata...  28000      679   \n",
       "6     [\"The best game I've played in my life\", \"omor...   7200     1100   \n",
       "...                                                 ...    ...      ...   \n",
       "1487  [\"This is essentially just a dungeon crawler a...   1000        7   \n",
       "1489  [\"As the first RPG that introduced me to the g...   1200       22   \n",
       "1500  [\"It's a reasonably solid rogue-lite RPG. The ...    727       54   \n",
       "1509  ['Underrated.', 'A grandes rasgos, es como un ...   1100       45   \n",
       "1510  ['Bu türe bu oyunla girmeye çalışmak hataydı s...    269       79   \n",
       "\n",
       "      Backlogs  Wishlist  \n",
       "0         4600      4800  \n",
       "1         6300      3600  \n",
       "2         5000      2600  \n",
       "3         4900      1800  \n",
       "6         4500      3800  \n",
       "...        ...       ...  \n",
       "1487       358       233  \n",
       "1489       365       106  \n",
       "1500       385       136  \n",
       "1509       487       206  \n",
       "1510       388       602  \n",
       "\n",
       "[499 rows x 13 columns]"
      ]
     },
     "execution_count": 549,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#i wanna look at all of the games that are RPGs so how do I call them from the Genre column and extract the relevant data to a new dataframe?\n",
    "rpg_games = games[games['Genres'].apply(lambda genres: 'RPG' in genres)]\n",
    "rpg_games\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 550,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                       Title Release Date   \n",
      "1                                      Hades   2019-12-10  \\\n",
      "3                                  Undertale   2015-09-15   \n",
      "4                              Hollow Knight   2017-02-24   \n",
      "6                                      Omori   2020-12-25   \n",
      "8                                   Among Us   2018-06-15   \n",
      "...                                      ...          ...   \n",
      "1467                               La-Mulana   2012-07-13   \n",
      "1480                  The Jackbox Party Pack   2014-11-18   \n",
      "1485  Ruined King: A League of Legends Story   2021-11-16   \n",
      "1487                         Lisa the Joyful   2015-08-24   \n",
      "1500                       Children of Morta   2019-09-03   \n",
      "\n",
      "                                      Team  Rating  Times Listed   \n",
      "1                     ['Supergiant Games']     4.3          2900  \\\n",
      "3                       ['tobyfox', '8-4']     4.2          3500   \n",
      "4                          ['Team Cherry']     4.4          3000   \n",
      "6                    ['OMOCAT', 'PLAYISM']     4.2          1600   \n",
      "8                           ['InnerSloth']     3.0           867   \n",
      "...                                    ...     ...           ...   \n",
      "1467  ['GR3 Project', 'Rising Star Games']     3.9           170   \n",
      "1480               ['Jackbox Games, Inc.']     2.9           102   \n",
      "1485   ['Riot Forge', 'Airship Syndicate']     3.6            68   \n",
      "1487                         ['Dingaling']     3.7           126   \n",
      "1500       ['Dead Mage', '11 bit studios']     3.4           153   \n",
      "\n",
      "      Number of Reviews                                             Genres   \n",
      "1                  2900           ['Adventure', 'Brawler', 'Indie', 'RPG']  \\\n",
      "3                  3500  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
      "4                  3000                 ['Adventure', 'Indie', 'Platform']   \n",
      "6                  1600  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
      "8                   867                              ['Indie', 'Strategy']   \n",
      "...                 ...                                                ...   \n",
      "1467                170       ['Adventure', 'Indie', 'Platform', 'Puzzle']   \n",
      "1480                102     ['Indie', 'Puzzle', 'Quiz/Trivia', 'Strategy']   \n",
      "1485                 68  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
      "1487                126  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...   \n",
      "1500                153                      ['Adventure', 'Indie', 'RPG']   \n",
      "\n",
      "                                                Summary   \n",
      "1     A rogue-lite hack and slash dungeon crawler in...  \\\n",
      "3     A small child falls into the Underground, wher...   \n",
      "4     A 2D metroidvania with an emphasis on close co...   \n",
      "6     A turn-based surreal horror RPG in which a chi...   \n",
      "8     Join your crew-mates in a multiplayer game of ...   \n",
      "...                                                 ...   \n",
      "1467  La-Mulana is the “Ruins Exploration Archaeolog...   \n",
      "1480  The team behind \"You Don't Know Jack\" presents...   \n",
      "1485  Ruined King: A League of Legends Story is a st...   \n",
      "1487  Traverse the world as Buddy. Stake your claim ...   \n",
      "1500  Children of Morta is a narrative driven hack a...   \n",
      "\n",
      "                                                Reviews  Plays  Playing   \n",
      "1     ['convinced this is a roguelike for people who...  21000     3200  \\\n",
      "3     ['soundtrack is tied for #1 with nier automata...  28000      679   \n",
      "4     [\"this games worldbuilding is incredible, with...  21000     2400   \n",
      "6     [\"The best game I've played in my life\", \"omor...   7200     1100   \n",
      "8     [\"it's a solid party game. i'm bad at lying th...  25000      470   \n",
      "...                                                 ...    ...      ...   \n",
      "1467  [\"Tried playing this without a guide and found...    492       30   \n",
      "1480  [\"For it's time and before the sequels, this w...   1400        6   \n",
      "1485  ['Devo admitir que o jogo começa bem zzz mas v...    413       63   \n",
      "1487  [\"This is essentially just a dungeon crawler a...   1000        7   \n",
      "1500  [\"It's a reasonably solid rogue-lite RPG. The ...    727       54   \n",
      "\n",
      "      Backlogs  Wishlist  \n",
      "1         6300      3600  \n",
      "3         4900      1800  \n",
      "4         8300      2300  \n",
      "6         4500      3800  \n",
      "8          776       126  \n",
      "...        ...       ...  \n",
      "1467       474       219  \n",
      "1480        93        27  \n",
      "1485       243       246  \n",
      "1487       358       233  \n",
      "1500       385       136  \n",
      "\n",
      "[278 rows x 13 columns]\n",
      "                                        Title Release Date   \n",
      "0                                  Elden Ring   2022-02-25  \\\n",
      "2     The Legend of Zelda: Breath of the Wild   2017-03-03   \n",
      "5                                   Minecraft   2011-11-18   \n",
      "7                               Metroid Dread   2021-10-07   \n",
      "9                              NieR: Automata   2017-02-23   \n",
      "...                                       ...          ...   \n",
      "1507             Back to the Future: The Game   2010-12-22   \n",
      "1508                        Team Sonic Racing   2019-05-21   \n",
      "1509                           Dragon's Dogma   2012-05-22   \n",
      "1510                          Baldur's Gate 3   2020-10-06   \n",
      "1511                 The LEGO Movie Videogame   2014-02-04   \n",
      "\n",
      "                                                   Team  Rating  Times Listed   \n",
      "0        ['Bandai Namco Entertainment', 'FromSoftware']     4.5          3900  \\\n",
      "2     ['Nintendo', 'Nintendo EPD Production Group No...     4.4          4300   \n",
      "5                                    ['Mojang Studios']     4.3          2300   \n",
      "7                          ['Nintendo', 'MercurySteam']     4.3          2100   \n",
      "9                      ['PlatinumGames', 'Square Enix']     4.3          2900   \n",
      "...                                                 ...     ...           ...   \n",
      "1507                                 ['Telltale Games']     3.2            94   \n",
      "1508                           ['Sumo Digital', 'Sega']     2.9           264   \n",
      "1509                                         ['Capcom']     3.7           210   \n",
      "1510                                 ['Larian Studios']     4.1           165   \n",
      "1511                          ['WB Games', 'TT Fusion']     2.8           184   \n",
      "\n",
      "      Number of Reviews                                             Genres   \n",
      "0                  3900                               ['Adventure', 'RPG']  \\\n",
      "2                  4300                               ['Adventure', 'RPG']   \n",
      "5                  2300                         ['Adventure', 'Simulator']   \n",
      "7                  2100                          ['Adventure', 'Platform']   \n",
      "9                  2900                                 ['Brawler', 'RPG']   \n",
      "...                 ...                                                ...   \n",
      "1507                 94                   ['Adventure', 'Point-and-Click']   \n",
      "1508                264                               ['Arcade', 'Racing']   \n",
      "1509                210                                 ['Brawler', 'RPG']   \n",
      "1510                165  ['Adventure', 'RPG', 'Strategy', 'Tactical', '...   \n",
      "1511                184                            ['Adventure', 'Puzzle']   \n",
      "\n",
      "                                                Summary   \n",
      "0     Elden Ring is a fantasy, action and open world...  \\\n",
      "2     The Legend of Zelda: Breath of the Wild is the...   \n",
      "5     Minecraft focuses on allowing the player to ex...   \n",
      "7     Join intergalactic bounty hunter Samus Aran in...   \n",
      "9     NieR: Automata tells the story of androids 2B,...   \n",
      "...                                                 ...   \n",
      "1507  Back to the Future: The Game is one of Telltal...   \n",
      "1508  Team Sonic Racing combines the best elements o...   \n",
      "1509  Set in a huge open world, Dragon’s Dogma: Dark...   \n",
      "1510  An ancient evil has returned to Baldur's Gate,...   \n",
      "1511  Join Emmet and an unlikely group of resistance...   \n",
      "\n",
      "                                                Reviews  Plays  Playing   \n",
      "0     [\"The first playthrough of elden ring is one o...  17000     3800  \\\n",
      "2     ['This game is the game (that is not CS:GO) th...  30000     2500   \n",
      "5     ['Minecraft is what you make of it. Unfortunat...  33000     1800   \n",
      "7     ['Have only been a Metroid fan for couple of y...   9200      759   \n",
      "9     ['Holy shit', 'im carrying the weight of the w...  18000     1100   \n",
      "...                                                 ...    ...      ...   \n",
      "1507  ['Very enjoyable game. The story adds onto the...    763        5   \n",
      "1508  ['jogo morto mas bom', 'not my cup of tea', \"C...   1500       49   \n",
      "1509  ['Underrated.', 'A grandes rasgos, es como un ...   1100       45   \n",
      "1510  ['Bu türe bu oyunla girmeye çalışmak hataydı s...    269       79   \n",
      "1511  ['Legal', 'Pretty Average Lego Game But It Was...   1700       11   \n",
      "\n",
      "      Backlogs  Wishlist  \n",
      "0         4600      4800  \n",
      "2         5000      2600  \n",
      "5         1100       230  \n",
      "7         3400      3300  \n",
      "9         6200      3600  \n",
      "...        ...       ...  \n",
      "1507       223        67  \n",
      "1508       413       107  \n",
      "1509       487       206  \n",
      "1510       388       602  \n",
      "1511       239        73  \n",
      "\n",
      "[1191 rows x 13 columns]\n"
     ]
    }
   ],
   "source": [
    "#one idea for the final would be to look at indie games compared to big publisher games\n",
    "indie_games = games[games['Genres'].apply(lambda genres: 'Indie' in genres)]\n",
    "print(indie_games)\n",
    "publisher_games = games[games['Genres'].apply(lambda genres: 'Indie' not in genres)]\n",
    "print(publisher_games)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 551,
   "metadata": {},
   "outputs": [],
   "source": [
    "#those three dataframes seems a bit random, but I would maybe like to work with them later on\n",
    "#let's say I developed a new RPG game and I want to look at the titles and summaries of popular games to generate my own\n",
    "#what about the popularity of indie games vs. publisher games? differences in playernumbers and ratings, maybe a sentiment analysis of the ratings?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 552,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   Genre  Number_of_Games_in_Genre\n",
      "0              Adventure                       980\n",
      "1                    RPG                       408\n",
      "2               Platform                       275\n",
      "3                Shooter                       263\n",
      "4                  Indie                       227\n",
      "5                 Puzzle                       161\n",
      "6               Strategy                       137\n",
      "7                Brawler                       115\n",
      "8              Simulator                       109\n",
      "9    Turn Based Strategy                        96\n",
      "10                   RPG                        91\n",
      "11               Shooter                        81\n",
      "12          Visual Novel                        68\n",
      "13                 Indie                        51\n",
      "14                Arcade                        50\n",
      "15              Platform                        47\n",
      "16              Tactical                        47\n",
      "17              Fighting                        46\n",
      "18       Point-and-Click                        43\n",
      "19               Brawler                        38\n",
      "20              Fighting                        26\n",
      "21                Racing                        25\n",
      "22                Arcade                        22\n",
      "23                 Sport                        18\n",
      "24                Racing                        17\n",
      "25             Simulator                        16\n",
      "26                 Music                        14\n",
      "27     Card & Board Game                        13\n",
      "28                Puzzle                        11\n",
      "29                 Sport                         7\n",
      "30    Real Time Strategy                         7\n",
      "31                 Music                         7\n",
      "32           Quiz/Trivia                         4\n",
      "33    Real Time Strategy                         3\n",
      "34       Point-and-Click                         3\n",
      "35                  MOBA                         3\n",
      "36     Card & Board Game                         3\n",
      "37          Visual Novel                         2\n",
      "38                                               2\n",
      "39              Strategy                         1\n",
      "40               Pinball                         1\n"
     ]
    }
   ],
   "source": [
    "#what are the most popular genres in the dataset?\n",
    "#we clean the column and then split it at the comma\n",
    "all_genres = [genre.strip(\"[]'\") for genres_string in games['Genres'].apply(lambda x: x if pd.isna(x) else x.replace(\"'\", \"\")) for genre in genres_string.split(',')]\n",
    "\n",
    "#making a new datafrae with the count of each genre\n",
    "genres_counts = pd.Series(all_genres).value_counts().reset_index()\n",
    "genres_counts.columns = ['Genre', 'Number_of_Games_in_Genre']\n",
    "\n",
    "# Display the resulting DataFrame\n",
    "print(genres_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 553,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABGQAAAK9CAYAAABilboYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/SrBM8AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeXRNV//H8feVyM1wMwghQTQkMU8h5UERQ5ughtZUVUS1WmqIUqQ1xBhqVk+1VQRVtDW1OmipmKuomGc1PG2KKokYIsP9/WE5v94mYmgGw+e11lnrnn323ue7j5tnPffbvfcxWa1WKyIiIiIiIiIikmvy5XUAIiIiIiIiIiKPGyVkRERERERERERymRIyIiIiIiIiIiK5TAkZEREREREREZFcpoSMiIiIiIiIiEguU0JGRERERERERCSXKSEjIiIiIiIiIpLLlJAREREREREREcllSsiIiIiIiIiIiOQyJWRERETkgRQbG4vJZOKLL77I61DuytmzZ2nTpg0FCxbEZDIxderUvA7pgRQVFYXJZMrrMP618PBwLBZLXochIiIPMSVkREREHmMxMTGYTCYcHR357bffMlwPCQmhYsWKeRDZw6dfv36sXr2ayMhIFixYQFhYWJb1k5OTee+993jqqacoUKAADg4OFC1alBYtWrBo0SLS0tJyKfKH28mTJzGZTLc9xo0bl9chZumrr76iefPmFClSBAcHBzw9PalXrx6TJk0iMTExr8MTEZEcZJ/XAYiIiEjeS05OZty4cbz33nt5HcpD68cff6Rly5YMGDDgjnXPnz9PkyZN2LlzJ6GhoQwZMgRPT0/++OMP1qxZw4svvsixY8cYOnRoLkSeu4YMGcLgwYOzvd8OHTrQtGnTDOVBQUHZfq/skJ6eTrdu3YiJiaFSpUr07NkTX19fLl++zNatWxkyZAjffPMNa9euzetQRUQkhyghIyIiIlStWpVZs2YRGRlJ0aJF8zqcXHXlyhVcXFz+dT/nzp3Dw8Pjrup26tSJXbt2sXTpUp5//nmba5GRkezYsYPDhw//65geRPb29tjbZ///Ba1WrRovvfRStvebU959911iYmLo168fkyZNslnG1bdvX+Lj45k/f36ux3X9+nUcHBzIl08T6UVEcpr+l1ZERER4++23SUtLu+PyjlvLQ2JiYjJcM5lMREVFGee39go5cuQIL730Eu7u7nh5eTF06FCsVitnzpyhZcuWuLm54e3tzaRJkzK9Z1paGm+//Tbe3t64uLjQokULzpw5k6Hetm3bCAsLw93dHWdnZ+rXr8/mzZtt6tyK6cCBA7z44osUKFCAp556KssxnzhxgrZt2+Lp6YmzszP/+c9/+Prrr43rt5Z9Wa1W/vvf/xpLZW5n69atrF69mu7du2dIxtwSHBxMx44djfMbN24wbNgwqlevjru7Oy4uLtStW5d169bZtLv17zNx4kT++9//UqpUKZydnXnmmWc4c+YMVquVUaNGUbx4cZycnGjZsiV//fVXhvt/++231K1bFxcXF1xdXWnWrBn79++3qfPHH3/QtWtXihcvjtlsxsfHh5YtW3Ly5Mksn2dme8iYTCZ69erFihUrqFixImazmQoVKvDdd99l2de9WrlyJc2aNaNo0aKYzWb8/f0ZNWpUpsvDtm3bRtOmTSlQoAAuLi5UrlyZadOmZaj322+/0apVKywWC15eXgwYMOCOy82uXr3K+PHjqVChAhMmTMj0++Lj48OgQYMylH/yySdUr14dJycnPD09eeGFFzL8PdxaanjgwAEaNGiAs7MzxYoV491337Wpd2ufpsWLFzNkyBCKFSuGs7OzsVTqbv6mRETk/ikhIyIiIpQsWZLOnTsza9Ysfv/992ztu3379qSnpzNu3Dhq1qzJ6NGjmTp1Kk8//TTFihVj/PjxBAQEMGDAADZs2JCh/ZgxY/j6668ZNGgQffr04YcffqBx48Zcu3bNqPPjjz9Sr149EhMTGT58OGPHjuXSpUs0bNiQn3/+OUOfbdu25erVq4wdO5ZXX331trGfPXuW2rVrs3r1anr27MmYMWO4fv06LVq0YPny5QDUq1ePBQsWAPD000+zYMEC4zwzX331FcA9zeZITEzk448/JiQkhPHjxxMVFcX58+cJDQ0lLi4uQ/2FCxfy/vvv07t3b/r378/69etp164dQ4YM4bvvvmPQoEF0796dr776KsMSqwULFtCsWTMsFgvjx49n6NChHDhwgKeeesom2dK6dWuWL19O165def/99+nTpw+XL1/m9OnTdz2uv9u0aRM9e/bkhRde4N133+X69eu0bt2aCxcu3FX7q1ev8ueff2Y4UlNTjToxMTFYLBbefPNNpk2bRvXq1Rk2bFiGJVQ//PAD9erV48CBA/Tt25dJkybRoEEDVq1aZVMvLS2N0NBQChYsyMSJE6lfvz6TJk3io48+uuNYL126RIcOHbCzs7vLJ3Tzb6Fz584EBgYyefJkIiIiWLt2LfXq1ePSpUs2dS9evEhYWBhVqlRh0qRJlC1blkGDBvHtt99m6HfUqFF8/fXXDBgwgLFjx+Lg4HDPf1MiInIfrCIiIvLYmjt3rhWwbt++3Xr8+HGrvb29tU+fPsb1+vXrWytUqGCc//rrr1bAOnfu3Ax9Adbhw4cb58OHD7cC1u7duxtlqamp1uLFi1tNJpN13LhxRvnFixetTk5O1i5duhhl69atswLWYsWKWRMTE43yzz77zApYp02bZrVardb09HRrYGCgNTQ01Jqenm7Uu3r1qrVkyZLWp59+OkNMHTp0uKvnExERYQWsGzduNMouX75sLVmypNXPz8+alpZmM/433njjjn0+99xzVsB66dIlm/Jr165Zz58/bxwXL140rqWmplqTk5Nt6l+8eNFapEgR68svv2yU3fr38fLysuk/MjLSClirVKliTUlJMco7dOhgdXBwsF6/ft0Ym4eHh/XVV1+1udcff/xhdXd3N8ovXrxoBawTJky443j/6da/wd8BVgcHB+uxY8eMst27d1sB63vvvZdlf7fGfLtj69atRt2rV69maP/aa69ZnZ2djWeQmppqLVmypPWJJ56w+TewWq02368uXbpYAevIkSNt6gQFBVmrV6+eZczTpk2zAtYVK1bYlKemptp8B86fP2/c8+TJk1Y7OzvrmDFjbNrs3bvXam9vb1Nev359K2CdP3++UZacnGz19va2tm7d2ii79TdWqlQpm2dzL39TIiJy/zRDRkRERAAoVaoUnTp14qOPPiI+Pj7b+n3llVeMz3Z2dgQHB2O1WunWrZtR7uHhQZkyZThx4kSG9p07d8bV1dU4b9OmDT4+PnzzzTcAxMXFcfToUV588UUuXLhgzIy4cuUKjRo1YsOGDaSnp9v0+frrr99V7N988w01atSwWdZksVjo3r07J0+e5MCBA3f3EP7m1nKQf74y+YMPPsDLy8s4/n5POzs7HBwcgJubwf7111+kpqYSHBzML7/8kuEebdu2xd3d3TivWbMmcHNWzt/3b6lZsyY3btww3rD1ww8/GDM3/j7LxM7Ojpo1axpLpJycnHBwcCA2NpaLFy/e8zPITOPGjfH39zfOK1eujJubW6bficx0796dH374IcNRvnx5o46Tk5Px+fLly/z555/UrVuXq1evcujQIQB27drFr7/+SkRERIY9gTJbWvTP71LdunXvGPPtvgN79+61+Q54eXkZM4SWLVtGeno67dq1s/m38fb2JjAwMMPyNYvFYjMLy8HBgRo1amQaW5cuXWyezf38TYmIyL3Tpr4iIiJiGDJkCAsWLGDcuHGZ7pdxP0qUKGFz7u7ujqOjI4UKFcpQntnylMDAQJtzk8lEQECAsXzm6NGjwM0flbeTkJBAgQIFjPOSJUveVeynTp0ykhl/V65cOeP6vb4W/FZyKSkpySZp0rp1a6Ov/v37Z9iHZN68eUyaNIlDhw6RkpKS5Vgye+YAvr6+mZbfSqrcepYNGzbMNHY3NzcAzGYz48ePp3///hQpUoT//Oc/PPvss3Tu3Blvb++shn9b/4wZoECBAned8AkMDKRx48ZZ1tm/fz9Dhgzhxx9/zPBK6YSEBACOHz8OcFf/ro6Ojnh5ed1zzH//DvxdQEAAP/zwAwDz58+3Wfp29OhRrFZrhr+HW/Lnz29zXrx48QwJpAIFCrBnz54Mbf/5HbqfvykREbl3SsiIiIiIoVSpUrz00kt89NFHmb6a+Hab1Wa1iWlme2Tcbt8Mq9V6l5H+v1v/pX7ChAlUrVo10zr/nInw99kAua1s2bIA7Nu3jzp16hjlvr6+RsKkQIEC/Pnnn8a1Tz75hPDwcFq1asVbb71F4cKFsbOzIzo62kgg/N3tnu+dnvutZ7lgwYJMEyt/n10TERFB8+bNWbFiBatXr2bo0KFER0fz448/3terprPzO5GZS5cuUb9+fdzc3Bg5ciT+/v44Ojryyy+/MGjQoPua8XEv+7/83d+/Ay1btjTKLRaLkVTatGmTTZv09HRMJhPffvttpvf953f8Xp7nP/8e7udvSkRE7p0SMiIiImJjyJAhfPLJJ4wfPz7DtVv/RfyfG4ieOnUqx+K59V/rb7FarRw7dozKlSsDGMtc3Nzc7jhD4l498cQTmb5++tbylieeeOKe+3z22WcZN24cCxcutEnIZOWLL76gVKlSLFu2zCYpNnz48Hu+f1ZuPcvChQvf1bP09/enf//+9O/fn6NHj1K1alUmTZrEJ598kq1xZYfY2FguXLjAsmXLqFevnlH+66+/2tS79Qz27duX7d+nW+rWrYu7uzuLFy8mMjLyrl4x7e/vj9VqpWTJkpQuXTpH4vr7vSBn/qZEROT/aQ8ZERERseHv789LL73Ehx9+yB9//GFzzc3NjUKFCmV4G9L777+fY/HMnz+fy5cvG+dffPEF8fHxNGnSBIDq1avj7+/PxIkTMywBATh//vx937tp06b8/PPPbN261Si7cuUKH330EX5+fjb7k9ytOnXq8PTTT/PRRx+xcuXKTOv8cxbDrdkOfy/ftm2bTVzZITQ0FDc3N8aOHWuzLOqWW8/y6tWrXL9+3eaav78/rq6uJCcnZ2tM2SWzZ3jjxo0M391q1apRsmRJpk6dmiHxmF2zdZydnRk4cCD79u1j8ODBmfb7z7Lnn38eOzs7RowYkeGa1Wq967dR3Y2c/JsSEZH/pxkyIiIiksE777zDggULOHz4MBUqVLC59sorrzBu3DheeeUVgoOD2bBhA0eOHMmxWDw9PXnqqafo2rUrZ8+eZerUqQQEBBivq86XLx8ff/wxTZo0oUKFCnTt2pVixYrx22+/sW7dOtzc3IxXTd+rwYMHs2jRIpo0aUKfPn3w9PRk3rx5/PrrryxduvSuZjZk5pNPPiEsLIxWrVrRpEkTGjduTIECBfjjjz9Ys2YNGzZsMBJOcHNWzbJly3juuedo1qwZv/76Kx988AHly5fP9Afz/XJzc2PmzJl06tSJatWq8cILL+Dl5cXp06f5+uuvqVOnDjNmzODIkSM0atSIdu3aUb58eezt7Vm+fDlnz57lhRdeyLZ47sUvv/yS6cwcf39/atWqRe3atSlQoABdunShT58+mEwmFixYkCG5kS9fPmbOnEnz5s2pWrUqXbt2xcfHh0OHDrF//35Wr16dLfEOHjyYgwcPMmHCBL7//ntat25N8eLFuXjxIr/88guff/45hQsXxtHR0RjH6NGjiYyM5OTJk7Rq1QpXV1d+/fVXli9fTvfu3TO8wvx+5eTflIiI/D8lZERERCSDgIAAXnrpJebNm5fh2rBhwzh//jxffPEFn332GU2aNOHbb7+lcOHCORLL22+/zZ49e4iOjuby5cs0atSI999/H2dnZ6NOSEgIW7duZdSoUcyYMYOkpCS8vb2pWbMmr7322n3fu0iRImzZsoVBgwbx3nvvcf36dSpXrsxXX31Fs2bN7rvfwoULs2XLFj788EOWLFnCiBEjuHr1KoUKFSI4OJiFCxfSvn17o354eDh//PEHH374IatXr6Z8+fJ88sknfP7558TGxt53HJl58cUXKVq0KOPGjWPChAkkJydTrFgx6tatS9euXYGb+9106NCBtWvXsmDBAuzt7SlbtiyfffYZrVu3ztZ47taiRYtYtGhRhvIuXbpQq1YtChYsyKpVq+jfvz9DhgyhQIECvPTSSzRq1IjQ0FCbNqGhoaxbt44RI0YwadIk0tPT8ff3N5KA2SFfvnwsWLCA1q1bM2vWLN577z0uXryIxWKhYsWKjBkzhldffdVmr5bBgwdTunRppkyZwogRI4Cb/xbPPPMMLVq0yLbYIOf+pkRE5P+ZrNk191JERERERERERO6K9pAREREREREREcllSsiIiIiIiIiIiOQyJWRERERERERERHKZEjIiIiIiIiIiIrlMCRkRERERERERkVymhIyIiIiIiIiISC6zz+sARHJKeno6v//+O66urphMprwOR0RERERERB5xVquVy5cvU7RoUfLly3oOjBIy8sj6/fff8fX1zeswRERERERE5DFz5swZihcvnmUdJWTkkeXq6gpAxdemYOfglMfRiIiIiIiIyP3YMLpDXodw1xITE/H19TV+j2ZFCZlHUFRUFCtWrCAuLi6vQ8lTt5Yp2Tk4YWdWQkZERERERORh5Obmltch3LO72TZDm/o+JLZu3YqdnR3NmjXL61AydfLkSUwm02OfBBIRERERERG5G0rIPCRmz55N79692bBhA7///nteh5Ojbty4kdchiIiIiIiIiOQoJWQeAklJSSxZsoQePXrQrFkzYmJibK6PGzeOIkWK4OrqSrdu3bh+/bpx7fvvv8fR0ZFLly7ZtOnbty8NGzY0zjdt2kTdunVxcnLC19eXPn36cOXKFeO6n58fY8eO5eWXX8bV1ZUSJUrw0UcfGddLliwJQFBQECaTiZCQEABCQkKIiIiwuXerVq0IDw+36XvUqFF07twZNzc3unfvflcxiYiIiIiIiDyslJB5CHz22WeULVuWMmXK8NJLLzFnzhysVqtxLSoqirFjx7Jjxw58fHx4//33jbaNGjXCw8ODpUuXGmVpaWksWbKEjh07AnD8+HHCwsJo3bo1e/bsYcmSJWzatIlevXrZxDFp0iSCg4PZtWsXPXv2pEePHhw+fBiAn3/+GYA1a9YQHx/PsmXL7mmMEydOpEqVKuzatYuhQ4fedUx/l5ycTGJios0hIiIiIiIi8iBSQuYhMHv2bF566SUAwsLCSEhIYP369QBMnTqVbt260a1bN8qUKcPo0aMpX7680dbOzo4XXniBTz/91Chbu3Ytly5donXr1gBER0fTsWNHIiIiCAwMpHbt2kyfPp358+fbzLZp2rQpPXv2JCAggEGDBlGoUCHWrVsHgJeXFwAFCxbE29sbT0/Pexpjw4YN6d+/P/7+/vj7+991TH8XHR2Nu7u7ceiV1yIiIiIiIvKgUkLmAXf48GF+/vlnOnS4+Zove3t72rdvz+zZswE4ePAgNWvWtGlTq1Ytm/OOHTsSGxtr7D2zcOFCmjVrhoeHBwC7d+8mJiYGi8ViHKGhoaSnp/Prr78a/VSuXNn4bDKZ8Pb25ty5c9kyzuDgYJvzu43p7yIjI0lISDCOM2fOZEtsIiIiIiIiItlNr71+wM2ePZvU1FSKFi1qlFmtVsxmMzNmzLirPp588kn8/f1ZvHgxPXr0YPny5Tb70CQlJfHaa6/Rp0+fDG1LlChhfM6fP7/NNZPJRHp6epb3zpcvn7G86paUlJQM9VxcXGzO7zamvzObzZjN5izjEREREREREXkQKCHzAEtNTWX+/PlMmjSJZ555xuZaq1atWLRoEeXKlWPbtm107tzZuPbTTz9l6Ktjx44sXLiQ4sWLky9fPpvXZ1erVo0DBw4QEBBw37E6ODgAN/en+TsvLy/i4+ON87S0NPbt20eDBg2y7C87YhIRERERERF5UGnJ0gNs1apVXLx4kW7dulGxYkWbo3Xr1syePZu+ffsyZ84c5s6dy5EjRxg+fDj79+/P0FfHjh355ZdfGDNmDG3atLGZSTJo0CC2bNlCr169iIuL4+jRo6xcuTLLDXT/qXDhwjg5OfHdd99x9uxZEhISgJt7w3z99dd8/fXXHDp0iB49emR441NmsiMmERERERERkQeVEjIPsNmzZ9O4cWPc3d0zXGvdujU7duygXLlyDB06lIEDB1K9enVOnTpFjx49MtQPCAigRo0a7Nmzx3i70i2VK1dm/fr1HDlyhLp16xIUFMSwYcNslkndib29PdOnT+fDDz+kaNGitGzZEoCXX36ZLl260LlzZ+rXr0+pUqXuODsmu2ISEREREREReVCZrP/c4EPkEZGYmIi7uzsJCQm4ubnldTgiIiIiIiLyiLuX36GaISMiIiIiIiIiksuUkBERERERERERyWV6y5I88uoNWYSd2SmvwxARkXu0c0LnO1cSEREReUhphoyIiIiIiIiISC5TQkayRWxsLCaTyTi8vLxo2rQpe/futakXHh5u1HFwcCAgIICRI0eSmppq1LFarcyaNYtatWrh5uaGxWKhQoUK9O3bl2PHjuX20ERERERERESynRIykq0OHz5MfHw8q1evJjk5mWbNmnHjxg2bOmFhYcTHx3P06FH69+9PVFQUEyZMAG4mY1588UX69OlD06ZN+f777zlw4ACzZ8/G0dGR0aNH58WwRERERERERLKV9pCRbFW4cGE8PDzw9vYmIiKCFi1acOjQISpXrmzUMZvNeHt7A9CjRw+WL1/Ol19+SWRkJEuWLGHx4sWsXLmSFi1aGG1KlCjBf/7zH/SWdhEREREREXkUKCEjOSIhIYHFixcD4ODgkGVdJycnLly4AMCiRYsoU6aMTTLm70wm0237SU5OJjk52ThPTEy817BFREREREREcoWWLEm2Kl68OBaLBQ8PDz799FNatGhB2bJlM61rtVpZs2YNq1evpmHDhgAcOXKEMmXK2NSLiIjAYrFgsVgoXrz4be8dHR2Nu7u7cfj6+mbfwERERERERESykRIykq02btzIzp07iYmJoXTp0nzwwQcZ6qxatQqLxYKjoyNNmjShffv2REVF3bbPd955h7i4OIYNG0ZSUtJt60VGRpKQkGAcZ86cyY4hiYiIiIiIiGQ7LVmSbFWyZEk8PDwoU6YM586do3379mzYsMGmToMGDZg5cyYODg4ULVoUe/v//xoGBgZy+PBhm/peXl54eXlRuHDhLO9tNpsxm83ZNxgRERERERGRHKIZMpJj3njjDfbt28fy5cttyl1cXAgICKBEiRI2yRiADh06cPjwYVauXJmboYqIiIiIiIjkKiVkJMc4Ozvz6quvMnz48Lt+O9ILL7xAmzZteOGFFxg5ciTbtm3j5MmTrF+/niVLlmBnZ5fDUYuIiIiIiIjkPCVkJEf16tWLgwcP8vnnn99VfZPJxJIlS5g6dSrffPMNjRo1okyZMrz88sv4+vqyadOmHI5YREREREREJOeZrHc7dUHkIZOYmIi7uzsJCQm4ubnldTgiIiIiIiLyiLuX36GaISMiIiIiIiIiksuUkBERERERERERyWV67bU88uoNWYSd2SmvwxCRHLBzQue8DkFERERE5L5ohsxjyGQysWLFin/dzx9//MHTTz+Ni4sLHh4e/7o/ERERERERkceFEjKPmNjYWEwmk3EUKVKE1q1bc+LEifvuMyoqiqpVq2YonzJlCvHx8cTFxXHkyJF/EbWIiIiIiIjI40UJmUfU4cOH+f333/n888/Zv38/zZs3Jy0tLVvvcfz4capXr05gYCCFCxe+rz5u3LiRrTGJiIiIiIiIPAyUkHlEFS5cGB8fH+rVq8ewYcM4cOAAx44dy7TuoEGDKF26NM7OzpQqVYqhQ4eSkpICQExMDCNGjGD37t3GrJuYmBj8/PxYunQp8+fPx2QyER4eDsDp06dp2bIlFosFNzc32rVrx9mzZ4173Zpt8/HHH1OyZEkcHR2Bm8uoPvzwQ5599lmcnZ0pV64cW7du5dixY4SEhODi4kLt2rU5fvx4zj44ERERERERkVyghMxjwMnp5oa2t5uN4urqSkxMDAcOHGDatGnMmjWLKVOmANC+fXv69+9PhQoViI+PJz4+nvbt27N9+3bCwsJo164d8fHxTJs2jfT0dFq2bMlff/3F+vXr+eGHHzhx4gTt27e3ud+xY8dYunQpy5YtIy4uzigfNWoUnTt3Ji4ujrJly/Liiy/y2muvERkZyY4dO7BarfTq1eu240xOTiYxMdHmEBEREREREXkQ6S1Lj7j4+HgmTpxIsWLFKFOmTKZ1hgwZYnz28/NjwIABLF68mIEDB+Lk5ITFYsHe3h5vb2+jnpOTE2azGScnJ6P8hx9+YO/evfz666/4+voCMH/+fCpUqMD27dt58skngZuJofnz5+Pl5WUTR9euXWnXrh1wc9ZOrVq1GDp0KKGhoQD07duXrl273nas0dHRjBgx4l4fkYiIiIiIiEiu0wyZR1Tx4sVxcXGhaNGiXLlyhaVLl+Lg4JBp3SVLllCnTh28vb2xWCwMGTKE06dP3/M9Dx48iK+vr5GMAShfvjweHh4cPHjQKHviiScyJGMAKleubHwuUqQIAJUqVbIpu379+m1nvkRGRpKQkGAcZ86cuecxiIiIiIiIiOQGzZB5RG3cuBE3NzcKFy6Mq6vrbett3bqVjh07MmLECEJDQ3F3d2fx4sVMmjQpx2JzcXHJtDx//vzGZ5PJdNuy9PT0TNubzWbMZnN2hSkiIiIiIiKSY5SQeUSVLFkSDw+PO9bbsmULTzzxBO+8845RdurUKZs6Dg4Od/WGpnLlynHmzBnOnDljzJI5cOAAly5donz58vc2ABEREREREZFHmJYsPeYCAwM5ffo0ixcv5vjx40yfPp3ly5fb1PHz8+PXX38lLi6OP//8k+Tk5Ez7aty4MZUqVaJjx4788ssv/Pzzz3Tu3Jn69esTHBycG8MREREREREReSgoIfOYa9GiBf369aNXr15UrVqVLVu2MHToUJs6rVu3JiwsjAYNGuDl5cWiRYsy7ctkMrFy5UoKFChAvXr1aNy4MaVKlWLJkiW5MRQRERERERGRh4bJarVa8zoIkZyQmJiIu7s7CQkJuLm55XU4IiIiIiIi8oi7l9+hmiEjIiIiIiIiIpLLlJAREREREREREcllesuSPPLqDVmEndkpr8MQkbu0c0LnvA5BRERERCTHaYaMABAeHk6rVq3yOgwRERERERGRx4ISMo+JWbNmUaVKFSwWCx4eHgQFBREdHZ3rcfj5+TF16tRcv6+IiIiIiIjIg0RLlh4Dc+bMISIigunTp1O/fn2Sk5PZs2cP+/bty+vQ7tuNGzdwcHDI6zBERERERERE7otmyDwGvvzyS9q1a0e3bt0ICAigQoUKdOjQgTFjxmSoO3HiRHx8fChYsCBvvPEGKSkpxrWLFy/SuXNnChQogLOzM02aNOHo0aM27ZcuXUqFChUwm834+fkxadIk41pISAinTp2iX79+mEwmTCaTcW3Tpk3UrVsXJycnfH196dOnD1euXDGu+/n5MWrUKDp37oybmxvdu3fPzkckIiIiIiIikquUkHkMeHt789NPP3Hq1Kks661bt47jx4+zbt065s2bR0xMDDExMcb18PBwduzYwZdffsnWrVuxWq00bdrUSNrs3LmTdu3a8cILL7B3716ioqIYOnSo0ceyZcsoXrw4I0eOJD4+nvj4eACOHz9OWFgYrVu3Zs+ePSxZsoRNmzbRq1cvm/gmTpxIlSpV2LVrF0OHDs0Qf3JyMomJiTaHiIiIiIiIyIPIZLVarXkdhOSs+Ph4nn/+eX766SdKly5NrVq1aNq0KW3atCFfvps5ufDwcGJjYzl+/Dh2dnYAtGvXjnz58rF48WKOHj1K6dKl2bx5M7Vr1wbgwoUL+Pr6Mm/ePNq2bUvHjh05f/4833//vXHvgQMH8vXXX7N//37g5kyXiIgIIiIijDqvvPIKdnZ2fPjhh0bZpk2bqF+/PleuXMHR0RE/Pz+CgoJYvnz5bccZFRXFiBEjMpRX6f2B3rIk8hDRW5ZERERE5GGVmJiIu7s7CQkJuLm5ZVlXM2QeAz4+PmzdupW9e/fSt29fUlNT6dKlC2FhYaSnpxv1KlSoYCRjbrU7d+4cAAcPHsTe3p6aNWsa1wsWLEiZMmU4ePCgUadOnTo2965Tpw5Hjx4lLS3ttvHt3r2bmJgYLBaLcYSGhpKens6vv/5q1AsODs5ynJGRkSQkJBjHmTNn7uLpiIiIiIiIiOQ+ber7GKlYsSIVK1akZ8+evP7669StW5f169fToEEDAPLnz29T32Qy2SRsckpSUhKvvfYaffr0yXCtRIkSxmcXF5cs+zGbzZjN5myPT0RERERERCS7KSHzmCpfvjyAzca5WSlXrhypqals27bNZsnS4cOHjb7KlSvH5s2bbdpt3ryZ0qVLGzNvHBwcMsyWqVatGgcOHCAgIOBfjUlERERERETkYaElS4+BHj16MGrUKDZv3sypU6f46aef6Ny5M15eXtSqVeuu+ggMDKRly5a8+uqrbNq0id27d/PSSy9RrFgxWrZsCUD//v1Zu3Yto0aN4siRI8ybN48ZM2YwYMAAox8/Pz82bNjAb7/9xp9//gnAoEGD2LJlC7169SIuLo6jR4+ycuXKDJv6ioiIiIiIiDwqlJB5DDRu3JiffvqJtm3bUrp0aVq3bo2joyNr166lYMGCd93P3LlzqV69Os8++yy1atXCarXyzTffGEudqlWrxmeffcbixYupWLEiw4YNY+TIkYSHhxt9jBw5kpMnT+Lv74+XlxcAlStXZv369Rw5coS6desSFBTEsGHDKFq0aLY+BxEREREREZEHhd6yJI+se9ndWkREREREROTf0luWREREREREREQeYErIiIiIiIiIiIjkMr1lSR559YYsws7slNdhiDwUdk7onNchiIiIiIg8FjRDRvJMeHg4rVq1Ms5DQkKIiIjIs3hEREREREREcotmyMg9i42NpUGDBly8eBEPD49s63fZsmXGG5tEREREREREHmVKyMgDw9PTM69DEBEREREREckVWrIk/1pMTAweHh6sXr2acuXKYbFYCAsLIz4+3qiTlpbGm2++iYeHBwULFmTgwIH8843r/1yylJyczIABAyhWrBguLi7UrFmT2NjYXBqViIiIiIiISM5RQkayxdWrV5k4cSILFixgw4YNnD59mgEDBhjXJ02aRExMDHPmzGHTpk389ddfLF++PMs+e/XqxdatW1m8eDF79uyhbdu2hIWFcfTo0UzrJycnk5iYaHOIiIiIiIiIPIiUkJFskZKSwgcffEBwcDDVqlWjV69erF271rg+depUIiMjef755ylXrhwffPAB7u7ut+3v9OnTzJ07l88//5y6devi7+/PgAEDeOqpp5g7d26mbaKjo3F3dzcOX1/fbB+niIiIiIiISHbQHjKSLZydnfH39zfOfXx8OHfuHAAJCQnEx8dTs2ZN47q9vT3BwcEZli3dsnfvXtLS0ihdurRNeXJyMgULFsy0TWRkJG+++aZxnpiYqKSMiIiIiIiIPJCUkJFs8c+3I5lMptsmW+5GUlISdnZ27Ny5Ezs7O5trFosl0zZmsxmz2Xzf9xQRERERERHJLVqyJDnO3d0dHx8ftm3bZpSlpqayc+fO27YJCgoiLS2Nc+fOERAQYHN4e3vnRtgiIiIiIiIiOUYzZCRX9O3bl3HjxhEYGEjZsmWZPHkyly5dum390qVL07FjRzp37sykSZMICgri/PnzrF27lsqVK9OsWbPcC15EREREREQkmykhI7mif//+xMfH06VLF/Lly8fLL7/Mc889R0JCwm3bzJ07l9GjR9O/f39+++03ChUqxH/+8x+effbZXIxcREREREREJPuZrP9mow+RB1hiYiLu7u4kJCTg5uaW1+GIiIiIiIjII+5efodqDxkRERERERERkVymhIyIiIiIiIiISC7THjLyyKs3ZBF2Zqe8DkMeYjsndM7rEERERERE5BGjGTLywAgJCSEiIiKvwxARERERERHJcUrIiCE2NhaTyWQcRYoUoXXr1pw4cSKvQxMRERERERF5pCghIxkcPnyY33//nc8//5z9+/fTvHlz0tLS8josERERERERkUeGEjKSQeHChfHx8aFevXoMGzaMAwcOcOzYMWJiYvDw8LCpu2LFCkwmk3Hu5+dnM8vm1gEQFRWV6bWYmJhM40hOTmbAgAEUK1YMFxcXatasSWxsbA6NWkRERERERCT3aFNfyZKT083NcG/cuHFX9bdv327MpklLS6NNmzbkz58fgAEDBvD6668bdRcuXMiwYcMIDg7OtK9evXpx4MABFi9eTNGiRVm+fDlhYWHs3buXwMDADPWTk5NJTk42zhMTE+9ukCIiIiIiIiK5TDNk5Lbi4+OZOHEixYoVo0yZMnfVxsvLC29vb7y9vXn33XeJj49n6dKlAFgsFuPayZMnGTJkCHPnzqVixYoZ+jl9+jRz587l888/p27duvj7+zNgwACeeuop5s6dm+m9o6OjcXd3Nw5fX9/7H7yIiIiIiIhIDtIMGcmgePHiWK1Wrl69SpUqVVi6dCkODg731MdHH33E7Nmz2bJlC15eXjbXTp8+TatWrRgwYADt2rXLtP3evXtJS0ujdOnSNuXJyckULFgw0zaRkZG8+eabxnliYqKSMiIiIiIiIvJAUkJGMti4cSNubm4ULlwYV1dXozxfvnxYrVabuikpKRnar1u3jt69e7No0SIqV65sc+3KlSu0aNGCWrVqMXLkyNvGkJSUhJ2dHTt37sTOzs7mmsViybSN2WzGbDbfcXwiIiIiIiIieU0JGcmgZMmSGTbvhZvLkS5fvsyVK1dwcXEBIC4uzqbOsWPHaNOmDW+//TbPP/+8zTWr1cpLL71Eeno6CxYssNkM+J+CgoJIS0vj3Llz1K1b91+PSURERERERORBooSM3LWaNWvi7OzM22+/TZ8+fdi2bZvNG5KuXbtG8+bNCQoKonv37vzxxx/GNW9vb6KiolizZg3ff/89SUlJJCUlAeDu7m5sHnxL6dKl6dixI507d2bSpEkEBQVx/vx51q5dS+XKlWnWrFmujFlEREREREQkJ2hTX7lrnp6efPLJJ3zzzTdUqlSJRYsWERUVZVw/e/Yshw4dYu3atRQtWhQfHx/jAFi/fj1JSUnUrl3b5tqSJUsyvd/cuXPp3Lkz/fv3p0yZMrRq1Yrt27dTokSJ3BiuiIiIiIiISI4xWf+5KYjIIyIxMRF3d3cSEhJwc3PL63BERERERETkEXcvv0M1Q0ZEREREREREJJcpISMiIiIiIiIiksu0qa888uoNWYSd2enOFeWht3NC57wOQURERERE5K5ohoyIiIiIiIiISC5TQuYRM2vWLKpUqYLFYsHDw4OgoCCio6ON6+Hh4bRq1Srb7hcSEkJERES29SciIiIiIiLyONCSpUfInDlziIiIYPr06dSvX5/k5GT27NnDvn377rmvlJQU8ufPnwNRioiIiIiIiIhmyDxCvvzyS9q1a0e3bt0ICAigQoUKdOjQgTFjxgAQFRXFvHnzWLlyJSaTCZPJRGxsLCdPnsRkMrFkyRLq16+Po6MjCxcu5MKFC3To0IFixYrh7OxMpUqVWLRokXG/8PBw1q9fz7Rp04z+Tp48CcC+ffto0qQJFouFIkWK0KlTJ/7880+j7eXLl+nYsSMuLi74+PgwZcoUm9k2I0eOpGLFihnGWLVqVYYOHZpzD1FEREREREQkFygh8wjx9vbmp59+4tSpU5leHzBgAO3atSMsLIz4+Hji4+OpXbu2cX3w4MH07duXgwcPEhoayvXr16levTpff/01+/bto3v37nTq1Imff/4ZgGnTplGrVi1effVVoz9fX18uXbpEw4YNCQoKYseOHXz33XecPXuWdu3aGfd688032bx5M19++SU//PADGzdu5JdffjGuv/zyyxw8eJDt27cbZbt27WLPnj107do10/ElJyeTmJhoc4iIiIiIiIg8iLRk6REyfPhwnn/+efz8/ChdujS1atWiadOmtGnThnz58mGxWHByciI5ORlvb+8M7SMiInj++edtygYMGGB87t27N6tXr+azzz6jRo0auLu74+DggLOzs01/M2bMICgoiLFjxxplc+bMwdfXlyNHjuDj48O8efP49NNPadSoEQBz586laNGiRv3ixYsTGhrK3LlzefLJJ4069evXp1SpUpmOPzo6mhEjRtzHkxMRERERERHJXZoh8wjx8fFh69at7N27l759+5KamkqXLl0ICwsjPT39ju2Dg4NtztPS0hg1ahSVKlXC09MTi8XC6tWrOX36dJb97N69m3Xr1mGxWIyjbNmyABw/fpwTJ06QkpJCjRo1jDbu7u6UKVPGpp9XX32VRYsWcf36dW7cuMGnn37Kyy+/fNv7RkZGkpCQYBxnzpy545hFRERERERE8oJmyDyCKlasSMWKFenZsyevv/46devWZf369TRo0CDLdi4uLjbnEyZMYNq0aUydOpVKlSrh4uJCREQEN27cyLKfpKQkmjdvzvjx4zNc8/Hx4dixY3c1jubNm2M2m1m+fDkODg6kpKTQpk2b29Y3m82Yzea76ltEREREREQkLykh84grX748AFeuXAHAwcGBtLS0u2q7efNmWrZsyUsvvQRAeno6R44cMfq8XX/VqlVj6dKl+Pn5YW+f8StWqlQp8ufPz/bt2ylRogQACQkJHDlyhHr16hn17O3t6dKlC3PnzsXBwYEXXngBJyenexi9iIiIiIiIyINJCZlHSI8ePShatCgNGzakePHixMfHM3r0aLy8vKhVqxYAfn5+rF69msOHD1OwYEHc3d1v219gYCBffPEFW7ZsoUCBAkyePJmzZ8/aJGT8/PzYtm0bJ0+exGKx4OnpyRtvvMGsWbPo0KEDAwcOxNPTk2PHjrF48WI+/vhjXF1d6dKlC2+99Raenp4ULlyY4cOHky9fPkwmk00Mr7zyCuXKlQNuJohEREREREREHgXaQ+YR0rhxY3766Sfatm1L6dKlad26NY6Ojqxdu5aCBQsCN/dlKVOmDMHBwXh5eWWZ5BgyZAjVqlUjNDSUkJAQvL29adWqlU2dAQMGYGdnR/ny5fHy8uL06dMULVqUzZs3k5aWxjPPPEOlSpWIiIjAw8ODfPlufuUmT55MrVq1ePbZZ2ncuDF16tShXLlyODo62vQfGBhI7dq1KVu2LDVr1szeByYiIiIiIiKSR0xWq9Wa10GIXLlyhWLFijFp0iS6detmlFutVgIDA+nZsydvvvnmPfWZmJiIu7s7CQkJuLm5ZXfIIiIiIiIiIjbu5XeolixJnti1axeHDh2iRo0aJCQkMHLkSABatmxp1Dl//jyLFy/mjz/+oGvXrnkVqoiIiIiIiEi2U0JG8szEiRM5fPgwDg4OVK9enY0bN1KoUCHjeuHChSlUqBAfffQRBQoUyMNIRURERERERLKXlizJI+vWVLEqvT/Azqy3Mz2Idk7onNchiIiIiIiIZJt7WbKkTX1FRERERERERHKZEjKSJ0wmEytWrMjrMERERERERETyhBIyj4nY2FhMJpNxODk5UaFCBT766KO8Dk1ERERERETksaNNfR8zhw8fxs3NjWvXrvHVV1/Ro0cP/P39adSoUab1b9y4gYODQy5HeWcPalwiIiIiIiIid0MzZB4zhQsXxtvbm5IlS9KnTx9KlizJL7/8YlwPCQmhV69eREREUKhQIUJDQwGYPHkylSpVwsXFBV9fX3r27ElSUhIAVqsVLy8vvvjiC6OfqlWr4uPjY5xv2rQJs9nM1atXM43rzJkztGvXDg8PDzw9PWnZsiUnT540roeHh9OqVSvGjBlD0aJFKVOmTIY+kpOTSUxMtDlEREREREREHkRKyDymrFYr3333HadPn6ZmzZo21+bNm4eDgwObN2/mgw8+ACBfvnxMnz6d/fv3M2/ePH788UcGDhwI3NwPpl69esTGxgJw8eJFDh48yLVr1zh06BAA69ev58knn8TZ2TlDLCkpKYSGhuLq6srGjRvZvHkzFouFsLAwbty4YdRbu3Ythw8f5ocffmDVqlUZ+omOjsbd3d04fH19s+VZiYiIiIiIiGQ3LVl6zBQvXhy4OZskPT2dkSNHUq9ePZs6gYGBvPvuuzZlERERxmc/Pz9Gjx7N66+/zvvvvw/cnFnz4YcfArBhwwaCgoLw9vYmNjaWsmXLEhsbS/369TONacmSJaSnp/Pxxx9jMpkAmDt3Lh4eHsTGxvLMM88A4OLiwscff3zbpUqRkZG8+eabxnliYqKSMiIiIiIiIvJAUkLmMbNx40ZcXV1JTk7m559/plevXnh6etKjRw+jTvXq1TO0W7NmDdHR0Rw6dIjExERSU1O5fv06V69exdnZmfr169O3b1/Onz/P+vXrCQkJMRIy3bp1Y8uWLcaMmn/avXs3x44dw9XV1ab8+vXrHD9+3DivVKlSlvvGmM1mzGbzvT4SERERERERkVynhMxjpmTJknh4eABQoUIFtm3bxpgxY2wSMi4uLjZtTp48ybPPPkuPHj0YM2YMnp6ebNq0iW7dunHjxg2cnZ2pVKkSnp6erF+/nvXr1zNmzBi8vb0ZP34827dvJyUlhdq1a2caU1JSEtWrV2fhwoUZrnl5ed02LhEREREREZGHlRIyjzk7OzuuXbuWZZ2dO3eSnp7OpEmTyJfv5rZDn332mU0dk8lE3bp1WblyJfv37+epp57C2dmZ5ORkPvzwQ4KDg2+bUKlWrRpLliyhcOHCuLm5Zc/ARERERERERB5g2tT3MXPu3Dn++OMPTp06xeeff86CBQto2bJllm0CAgJISUnhvffe48SJEyxYsMDY7PfvQkJCWLRoEVWrVsVisZAvXz7q1avHwoULb7t/DEDHjh0pVKgQLVu2ZOPGjfz666/ExsbSp08f/ve///3rMYuIiIiIiIg8aDRD5jFz63XR9vb2+Pr68tprrxEVFZVlmypVqjB58mTGjx9PZGQk9erVIzo6ms6dO9vUq1+/PmlpaYSEhBhlISEhrFy50qbsn5ydndmwYQODBg3i+eef5/LlyxQrVoxGjRply4yZDaM7aOaNiIiIiIiIPFBMVqvVmtdBiOSExMRE3N3dSUhIUEJGREREREREcty9/A7VkiURERERERERkVymJUvyyKs3ZBF2Zqe8DuOxt3NC5ztXEhEREREReUxohoyIiIiIiIiISC5TQuYRFB4eTqtWrXL8PlFRUVStWjXH7yMiIiIiIiLyqFFC5iE0a9YsqlSpgsViwcPDg6CgIKKjo43r06ZNIyYmJu8CzILJZGLFihV5HYaIiIiIiIhIntIeMg+ZOXPmEBERwfTp06lfvz7Jycns2bOHffv2GXXc3d3zMMLckZKSQv78+fM6DBEREREREZH7ohkyD5kvv/ySdu3a0a1bNwICAqhQoQIdOnRgzJgxRp1/LlkKCQmhd+/eREREUKBAAYoUKcKsWbO4cuUKXbt2xdXVlYCAAL799lujTUxMDB4eHjb3XrFiBSaT6baxbd++naeffppChQrh7u5O/fr1+eWXX4zrfn5+ADz33HOYTCbjHGDmzJn4+/vj4OBAmTJlWLBggU3fJpOJmTNn0qJFC1xcXGzGe0tycjKJiYk2h4iIiIiIiMiDSAmZh4y3tzc//fQTp06duqd28+bNo1ChQvz888/07t2bHj160LZtW2rXrs0vv/zCM888Q6dOnbh69ep9x3b58mW6dOnCpk2b+OmnnwgMDKRp06ZcvnwZuJmwAZg7dy7x8fHG+fLly+nbty/9+/dn3759vPbaa3Tt2pV169bZ9B8VFcVzzz3H3r17efnllzPcPzo6Gnd3d+Pw9fW977GIiIiIiIiI5CQlZB4yw4cPx8PDAz8/P8qUKUN4eDifffYZ6enpWbarUqUKQ4YMITAwkMjISBwdHSlUqBCvvvoqgYGBDBs2jAsXLrBnz577jq1hw4a89NJLlC1blnLlyvHRRx9x9epV1q9fD4CXlxcAHh4eeHt7G+cTJ04kPDycnj17Urp0ad58802ef/55Jk6caNP/iy++SNeuXSlVqhQlSpTIcP/IyEgSEhKM48yZM/c9FhEREREREZGcpITMQ8bHx4etW7eyd+9e+vbtS2pqKl26dCEsLCzLpEzlypWNz3Z2dhQsWJBKlSoZZUWKFAHg3Llz9x3b2bNnjQSPu7s7bm5uJCUlcfr06SzbHTx4kDp16tiU1alTh4MHD9qUBQcHZ9mP2WzGzc3N5hARERERERF5EGlT34dUxYoVqVixIj179uT111+nbt26rF+/ngYNGmRa/58b4JpMJpuyW3vD3Erq5MuXD6vVatMmJSUly5i6dOnChQsXmDZtGk888QRms5latWpx48aNex5fZlxcXLKlHxEREREREZG8phkyj4Dy5csDcOXKlWzr08vLi8uXL9v0GRcXl2WbzZs306dPH5o2bUqFChUwm838+eefNnXy589PWlqaTVm5cuXYvHlzhr5ujUtERERERETkUaMZMg+ZHj16ULRoURo2bEjx4sWJj49n9OjReHl5UatWrWy7T82aNXF2dubtt9+mT58+bNu2jZiYmCzbBAYGsmDBAoKDg0lMTOStt97CycnJpo6fnx9r166lTp06mM1mChQowFtvvUW7du0ICgqicePGfPXVVyxbtow1a9Zk23hEREREREREHiRKyDxkGjduzJw5c5g5cyYXLlygUKFC1KpVi7Vr11KwYMFsu4+npyeffPIJb731FrNmzaJRo0ZERUXRvXv327aZPXs23bt3p1q1avj6+jJ27FgGDBhgU2fSpEm8+eabzJo1i2LFinHy5ElatWrFtGnTmDhxIn379qVkyZLMnTuXkJCQbBnLhtEdtJ+MiIiIiIiIPFBM1n9uFCLyiEhMTMTd3Z2EhAQlZERERERERCTH3cvvUO0hIyIiIiIiIiKSy7RkSR559YYsws7sdOeKck92Tuic1yGIiIiIiIg8tDRDRkREREREREQklykh85AJCQkhIiIir8MQERERERERkX/hgUnIhIeHYzKZbnv4+fnlWixRUVE293Z3d6du3bqsX78+12K4X2lpaYwbN46yZcvi5OSEp6cnNWvW5OOPPzbqZHdSx8/Pj6lTp2ZbfyIiIiIiIiKPugcmITNt2jTi4+ONA2Du3LnG+fbt2++pP6vVSmpq6n3HU6FCBePeW7duJTAwkGeffZaEhIT77jM3jBgxgilTpjBq1CgOHDjAunXr6N69O5cuXbqnfv7t8xMRERERERGR23tgEjLu7u54e3sbB4CHhwfe3t5cv36dwoULExcXZ9S/dOkSJpOJ2NhYAGJjYzGZTHz77bdUr14ds9nMpk2bCAkJoU+fPgwcOBBPT0+8vb2Jioq6Yzz29vZGLOXLl2fkyJEkJSVx5MgRo87kyZOpVKkSLi4u+Pr60rNnT5KSkozrp06donnz5hQoUAAXFxcqVKjAN998Y1zft28fTZo0wWKxUKRIETp16sSff/5pXL9y5QqdO3fGYrHg4+PDpEmT7hj3l19+Sc+ePWnbti0lS5akSpUqdOvWjQEDBgA3ZyKtX7+eadOmGTOATp48edvnd/z4cVq2bEmRIkWwWCw8+eSTrFmzxrhfSEgIp06dol+/fkZ/t2zatIm6devi5OSEr68vffr04cqVK8b1+Ph4mjVrhpOTEyVLluTTTz+1mW3z8ssv8+yzz9qMLyUlhcKFCzN79uwMY09OTiYxMdHmEBEREREREXkQPTAJmewyePBgxo0bx8GDB6lcuTIA8+bNw8XFhW3btvHuu+8ycuRIfvjhh7vuMzk5mblz5+Lh4UGZMmWM8nz58jF9+nT279/PvHnz+PHHHxk4cKBx/Y033iA5OZkNGzawd+9exo8fj8ViAW4mlBo2bEhQUBA7duzgu+++4+zZs7Rr185o/9Zbb7F+/XpWrlzJ999/T2xsLL/88kuWsXp7e/Pjjz9y/vz5TK9PmzaNWrVq8eqrrxozgHx9fW/7/JKSkmjatClr165l165dhIWF0bx5c06fPg3AsmXLKF68OCNHjrSZ3XT8+HHCwsJo3bo1e/bsYcmSJWzatIlevXoZ9+rcuTO///47sbGxLF26lI8++ohz584Z11955RW+++47o0+AVatWcfXqVdq3b59hbNHR0bi7uxvH38clIiIiIiIi8iB55F57PXLkSJ5++mmbssqVKzN8+HAAAgMDmTFjBmvXrs1Q7+/27t1rJE+uXr2Kq6srS5Yswc3Nzajz931Y/Pz8GD16NK+//jrvv/8+AKdPn6Z169ZUqlQJgFKlShn1Z8yYQVBQEGPHjjXK5syZg6+vL0eOHKFo0aLMnj2bTz75hEaNGgE3E0vFixfPcvyTJ0+mTZs2eHt7U6FCBWrXrk3Lli1p0qQJcHMmkoODA87OzsZMpKyen6enJ1WqVDHOR40axfLly/nyyy/p1asXnp6e2NnZ4erqatNfdHQ0HTt2NJ5RYGAg06dPp379+sycOZOTJ0+yZs0atm/fTnBwMAAff/wxgYGBRh+1a9emTJkyLFiwwEh0zZ07l7Zt2xr/Nn8XGRnJm2++aZwnJiYqKSMiIiIiIiIPpEcuIXPrx/3f3Zopc4uPj4/NTIzMlClThi+//BKAy5cvs2TJEtq2bcu6deuMe6xZs4bo6GgOHTpEYmIiqampXL9+natXr+Ls7EyfPn3o0aMH33//PY0bN6Z169ZGLLt372bdunWZJhaOHz/OtWvXuHHjBjVr1jTKPT09bWboZKZ8+fLs27ePnTt3snnzZjZs2EDz5s0JDw+32dj3dv75/JKSkoiKiuLrr78mPj6e1NRUrl27ZsyQuZ3du3ezZ88eFi5caJRZrVbS09P59ddfOXLkCPb29lSrVs24HhAQQIECBWz6eeWVV/joo48YOHAgZ8+e5dtvv+XHH3/M9J5msxmz2XzHMYqIiIiIiIjktYdiyVK+fDfDtFqtRllKSkqmdV1cXDKU5c+f3+bcZDKRnp6e5T0dHBwICAggICCAoKAgxo0bR7FixYz9TU6ePMmzzz5L5cqVWbp0KTt37uS///0vADdu3ABuJhNOnDhBp06d2Lt3L8HBwbz33nvAzURH8+bNiYuLszmOHj1KvXr17uKp3F6+fPl48skniYiIYNmyZcTExDB79mx+/fXXO7b95/MbMGAAy5cvZ+zYsWzcuJG4uDgqVapkjPF2kpKSeO2112zGtnv3bo4ePYq/v/9dj6Vz586cOHGCrVu38sknn1CyZEnq1q171+1FREREREREHkQPxQwZLy8v4OYmsEFBQQA2G/zmFjs7O65duwbAzp07SU9PZ9KkSUbC6LPPPsvQxtfXl9dff53XX3+dyMhIZs2aRe/evalWrRpLly7Fz88Pe/uM/wz+/v7kz5+fbdu2UaJECQAuXrzIkSNHqF+//j3FXb58eQBjQ10HBwfS0tLuqu3mzZsJDw/nueeeA24mWk6ePGlTJ7P+qlWrxoEDBwgICMi03zJlypCamsquXbuoXr06AMeOHePixYs29QoWLEirVq2YO3cuW7dupWvXrncVt4iIiIiIiMiD7KGYIePk5MR//vMfY7PZ9evXM2TIkBy9Z2pqKn/88Qd//PEHR48eZfTo0Rw4cICWLVsCN5fXpKSk8N5773HixAkWLFjABx98YNNHREQEq1ev5tdff+WXX35h3bp1lCtXDri54e9ff/1Fhw4d2L59O8ePH2f16tV07dqVtLQ0LBYL3bp146233uLHH39k3759hIeHG8mf22nTpg1Tpkxh27ZtnDp1itjYWN544w1Kly5N2bJlgZv73Wzbto2TJ0/y559/ZjlbKDAwkGXLlhkzXF588cUM9f38/NiwYQO//fab8ZaoQYMGsWXLFnr16mXM/Fm5cqWxqW/ZsmVp3Lgx3bt35+eff2bXrl10794dJycnmzc1wc2ZRvPmzePgwYN06dLlTv90IiIiIiIiIg+8h2KGDNzc8LZbt25Ur16dMmXK8O677/LMM8/k2P3279+Pj48PAM7Ozvj7+zNz5kw6d+4MQJUqVZg8eTLjx48nMjKSevXqER0dbVwHSEtL44033uB///sfbm5uhIWFMWXKFACKFi3K5s2bGTRoEM888wzJyck88cQThIWFGUmXCRMmGEubXF1d6d+/PwkJCVnGHRoayqJFi4iOjiYhIQFvb28aNmxIVFSUMRNnwIABdOnShfLly3Pt2rUslzJNnjyZl19+mdq1a1OoUCEGDRqU4XXSI0eO5LXXXsPf35/k5GSsViuVK1dm/fr1vPPOO9StWxer1Yq/v7/N25Hmz59Pt27dqFevHt7e3kRHR7N//34cHR1t+m/cuDE+Pj5UqFCBokWLZjn+zGwY3cFmM2YRERERERGRvGay/n1jFpE89L///Q9fX1/WrFljvFkKbi6TKlasGHPnzuX555+/6/4SExNxd3cnISFBCRkRERERERHJcffyO/ShmSEjj54ff/yRpKQkKlWqRHx8PAMHDsTPz8/Y1Dg9PZ0///yTSZMm4eHhQYsWLfI4YhEREREREZHsoYSM5JmUlBTefvttTpw4gaurK7Vr12bhwoXGW7FOnz5NyZIlKV68ODExMZlufnw36g1ZhJ3ZKTtDfyztnND5zpVERERERETkrighI3kmNDSU0NDQ21738/NDK+pERERERETkUfRQvGVJRERERERERORRooSMZJvw8HBMJhMmk4n8+fNTsmRJBg4cyPXr1406t66bTCbc3d2pU6cOP/74o00/f/zxB3379iUgIABHR0eKFClCnTp1mDlzJlevXs3tYYmIiIiIiIhkOyVkJFuFhYURHx/PiRMnmDJlCh9++CHDhw+3qTN37lzi4+PZvHkzhQoV4tlnn+XEiRMAnDhxgqCgIL7//nvGjh3Lrl272Lp1KwMHDmTVqlWsWbMmL4YlIiIiIiIikq20h4xkK7PZjLe3NwC+vr40btyYH374gfHjxxt1PDw88Pb2xtvbm5kzZ1KsWDF++OEHXnvtNXr27Im9vT07duzAxcXFaFOqVClatmyZ5Z4yycnJJCcnG+eJiYk5MEIRERERERGRf08zZCTH7Nu3jy1btuDg4HDbOk5ON99+dOPGDS5cuMD333/PG2+8YZOM+TuTyXTbvqKjo3F3dzcOX1/ffzcAERERERERkRyihIxkq1WrVmGxWHB0dKRSpUqcO3eOt956K9O6V69eZciQIdjZ2VG/fn2OHTuG1WqlTJkyNvUKFSqExWLBYrEwaNCg2947MjKShIQE4zhz5ky2jk1EREREREQku2jJkmSrBg0aMHPmTK5cucKUKVOwt7endevWNnU6dOiAnZ0d165dw8vLi9mzZ1O5cmW2bduWaZ8///wz6enpdOzY0WZJ0j+ZzWbMZnO2jkdEREREREQkJyghI9nKxcWFgIAAAObMmUOVKlWYPXs23bp1M+pMmTKFxo0b4+7ujpeXl1EeEBCAyWTi8OHDNn2WKlUK+P/lTSIiIiIiIiIPOy1ZkhyTL18+3n77bYYMGcK1a9eMcm9vbwICAmySMQAFCxbk6aefZsaMGVy5ciW3wxURERERERHJNUrISI5q27YtdnZ2/Pe//72r+u+//z6pqakEBwezZMkSDh48yOHDh/nkk084dOgQdnZ2ORyxiIiIiIiISM7TkiXJUfb29vTq1Yt3332XHj163LG+v78/u3btYuzYsURGRvK///0Ps9lM+fLlGTBgAD179rznGDaM7oCbm9v9hC8iIiIiIiKSI0xWq9Wa10GI5ITExETc3d1JSEhQQkZERERERERy3L38DtWSJRERERERERGRXKYlS/LIqzdkEXZmvaHpdnZO6JzXIYiIiIiIiDx2NENGRERERERERCSXKSEjAJhMJlasWJHXYYiIiIiIiIg8FpSQeUycP3+eHj16UKJECcxmM97e3oSGhrJ58+ZciyE2NhaTycSlS5dy7Z4iIiIiIiIiDyLtIfOYaN26NTdu3GDevHmUKlWKs2fPsnbtWi5cuJDXod0zq9VKWloa9vb6+oqIiIiIiMjDSTNkHgOXLl1i48aNjB8/ngYNGvDEE09Qo0YNIiMjadGihVHvzz//5LnnnsPZ2ZnAwEC+/PJLm37Wr19PjRo1MJvN+Pj4MHjwYFJTU43rycnJ9OnTh8KFC+Po6MhTTz3F9u3bATh58iQNGjQAoECBAphMJsLDwwFIT08nOjqakiVL4uTkRJUqVfjiiy+Mfm/NrPn222+pXr06ZrOZTZs25dTjEhEREREREclxSsg8BiwWCxaLhRUrVpCcnHzbeiNGjKBdu3bs2bOHpk2b0rFjR/766y8AfvvtN5o2bcqTTz7J7t27mTlzJrNnz2b06NFG+4EDB7J06VLmzZvHL7/8QkBAAKGhofz111/4+vqydOlSAA4fPkx8fDzTpk0DIDo6mvnz5/PBBx+wf/9++vXrx0svvcT69ett4hs8eDDjxo3j4MGDVK5cOUP8ycnJJCYm2hwiIiIiIiIiDyKT1Wq15nUQkvOWLl3Kq6++yrVr16hWrRr169fnhRdeMBIbJpOJIUOGMGrUKACuXLmCxWLh22+/JSwsjHfeeYelS5dy8OBBTCYTAO+//z6DBg0iISGBa9euUaBAAWJiYnjxxRcBSElJwc/Pj4iICN566y1iY2Np0KABFy9exMPDA7iZRPH09GTNmjXUqlXLiPeVV17h6tWrfPrpp0a7FStW0LJly9uOMSoqihEjRmQor9L7A732Ogt67bWIiIiIiEj2SExMxN3dnYSEBNzc3LKsqxkyj4nWrVvz+++/8+WXXxIWFkZsbCzVqlUjJibGqPP3WScuLi64ublx7tw5AA4ePEitWrWMZAxAnTp1SEpK4n//+x/Hjx8nJSWFOnXqGNfz589PjRo1OHjw4G3jOnbsGFevXuXpp582ZvJYLBbmz5/P8ePHbeoGBwdnOcbIyEgSEhKM48yZM3f1bERERERERERym3ZFfYw4Ojry9NNP8/TTTzN06FBeeeUVhg8fbuzlkj9/fpv6JpOJ9PT0HI0pKSkJgK+//ppixYrZXDObzTbnLi4uWfZlNpsztBERERERERF5EGmGzGOsfPnyXLly5a7qlitXjq1bt/L3FW6bN2/G1dWV4sWL4+/vj4ODg81rtFNSUti+fTvly5cHwMHBAYC0tDSbGMxmM6dPnyYgIMDm8PX1zY5hioiIiIiIiDxwNEPmMXDhwgXatm3Lyy+/TOXKlXF1dWXHjh28++67We7J8nc9e/Zk6tSp9O7dm169enH48GGGDx/Om2++Sb58+XBxcaFHjx689dZbeHp6UqJECd59912uXr1Kt27dAHjiiScwmUysWrWKpk2b4uTkhKurKwMGDKBfv36kp6fz1FNPkZCQwObNm3Fzc6NLly45+WhERERERERE8oQSMo8Bi8VCzZo1mTJlirHXi6+vL6+++ipvv/32XfVRrFgxvvnmG9566y2qVKmCp6cn3bp1Y8iQIUadcePGkZ6eTqdOnbh8+TLBwcGsXr2aAgUKGH2MGDGCwYMH07VrVzp37kxMTAyjRo3Cy8uL6OhoTpw4gYeHB9WqVbvr2EREREREREQeNnrLkjyy7mV3axEREREREZF/S29ZEhERERERERF5gCkhIyIiIiIiIiKSy7SHjDzy6g1ZhJ3ZKa/DyFU7J3TO6xBEREREREQkC5oh8wA5efIkJpOJuLi4XLtnSEgIERERuXa/f8vPz4+pU6fmdRgiIiIiIiIi/4oSMrlg6dKl2NnZ8dtvv2V6PTAwkDfffBNfX1/i4+OpWLFiLkd4ezExMZhMJsLCwmzKL126hMlkIjY2Nm8CExEREREREXmIKSGTC1q0aEHBggWZN29ehmsbNmzg2LFjdOvWDTs7O7y9vbG3f7BWktnb27NmzRrWrVuX16GIiIiIiIiIPBKUkMkF+fPnp1OnTsTExGS4NmfOHGrWrEmFChUyLFm6ePEiHTt2xMvLCycnJwIDA5k7dy4AsbGxmEwmLl26ZPQVFxeHyWTi5MmTAFy4cIEOHTpQrFgxnJ2dqVSpEosWLbrn+F1cXHj55ZcZPHhwlvX27t1Lw4YNcXJyomDBgnTv3p2kpCQAvv/+exwdHW3iBejbty8NGzY0zjdt2kTdunVxcnLC19eXPn36cOXKlXuOWURERERERORBpoRMLunWrRtHjx5lw4YNRllSUhJffPEF3bp1y7TN0KFDOXDgAN9++y0HDx5k5syZFCpU6K7vef36dapXr87XX3/Nvn376N69O506deLnn3++5/ijoqLYu3cvX3zxRabXr1y5QmhoKAUKFGD79u18/vnnrFmzhl69egHQqFEjPDw8WLp0qdEmLS2NJUuW0LFjRwCOHz9OWFgYrVu3Zs+ePSxZsoRNmzYZfdxJcnIyiYmJNoeIiIiIiIjIg0gJmVxSvnx5/vOf/zBnzhyj7LPPPsNqtfLCCy9k2ub06dMEBQURHByMn58fjRs3pnnz5nd9z2LFijFgwACqVq1KqVKl6N27N2FhYXz22Wf3HH/RokXp27cv77zzDqmpqRmuf/rpp1y/fp358+dTsWJFGjZsyIwZM1iwYAFnz57Fzs6OF154gU8//dRos3btWi5dukTr1q0BiI6OpmPHjkRERBAYGEjt2rWZPn068+fP5/r163eMMTo6Gnd3d+Pw9fW953GKiIiIiIiI5AYlZHLRyy+/zBdffMHly5eBm8uV2rZti6ura6b1e/ToweLFi6latSoDBw5ky5Yt93S/tLQ0Ro0aRaVKlfD09MRisbB69WpOnz59X/EPGjSI8+fP2ySVbjl48CBVqlTBxcXFKKtTpw7p6ekcPnwYgI4dOxIbG8vvv/8OwMKFC2nWrBkeHh4A7N69m5iYGCwWi3GEhoaSnp7Or7/+esf4IiMjSUhIMI4zZ87c1zhFREREREREcpoSMrno1kyYzz77jKNHj7J58+bbLlcCaNKkCadOnaJfv378/vvvNGrUiAEDBgCQL9/Nfzqr1WrUT0lJsWk/YcIEpk2bxqBBg1i3bh1xcXGEhoZy48aN+4rfw8ODyMhIRowYwdWrV++5/ZNPPom/vz+LFy/m2rVrLF++3FiuBDeXcL322mvExcUZx+7duzl69Cj+/v537N9sNuPm5mZziIiIiIiIiDyIHqzX+TziXF1dadu2LXPmzOH48eOULl2aunXrZtnGy8uLLl260KVLF+rWrctbb73FxIkT8fLyAiA+Pp4CBQoAGJsB37J582ZatmzJSy+9BEB6ejpHjhyhfPny9z2G3r17M336dKZNm2ZTXq5cOWJiYrhy5YoxS2bz5s3ky5ePMmXKGPU6duzIwoULKV68OPny5aNZs2bGtWrVqnHgwAECAgLuOz4RERERERGRh4FmyOSybt26sWXLFj744ANefvnlLOsOGzaMlStXcuzYMfbv38+qVasoV64cAAEBAfj6+hIVFcXRo0f5+uuvmTRpkk37wMBAfvjhB7Zs2cLBgwd57bXXOHv27L+K39HRkREjRjB9+nSb8o4dO+Lo6EiXLl3Yt28f69ato3fv3nTq1IkiRYrY1Pvll18YM2YMbdq0wWw2G9cGDRrEli1b6NWrF3FxcRw9epSVK1fe9aa+IiIiIiIiIg8LJWRy2VNPPUWZMmVITEykc+fOWdZ1cHAgMjKSypUrU69ePezs7Fi8eDFw81XaixYt4tChQ1SuXJnx48czevRom/ZDhgyhWrVqhIaGEhISgre3N61atfrXY+jSpQulSpWyKXN2dmb16tX89ddfPPnkk7Rp04ZGjRoxY8YMm3oBAQHUqFGDPXv22CxXAqhcuTLr16/nyJEj1K1bl6CgIIYNG0bRokX/dcwiIiIiIiIiDxKT9e+bkIg8QhITE3F3dychIUH7yYiIiIiIiEiOu5ffoZohIyIiIiIiIiKSy5SQERERERERERHJZXrLkjzy6g1ZhJ3ZKa/DuCc7J2S9v5CIiIiIiIg83DRDRvKMyWRixYoVAJw8eRKTyZTh1d0iIiIiIiIijyLNkJH7Eh4ezqVLl4yEyr/l6+tLfHw8hQoVypb+RERERERERB5kSsjIA8HOzg5vb++8DkNEREREREQkV2jJkvxrISEh9OnTh4EDB+Lp6Ym3tzdRUVE2dY4ePUq9evVwdHSkfPny/PDDDzbXM1uytG/fPpo0aYLFYqFIkSJ06tSJP//8MxdGJCIiIiIiIpKzlJCRbDFv3jxcXFzYtm0b7777LiNHjjSSLunp6Tz//PM4ODiwbds2PvjgAwYNGpRlf5cuXaJhw4YEBQWxY8cOvvvuO86ePUu7du1u2yY5OZnExESbQ0RERERERORBpCVLki0qV67M8OHDAQgMDGTGjBmsXbuWp59+mjVr1nDo0CFWr15N0aJFARg7dixNmjS5bX8zZswgKCiIsWPHGmVz5szB19eXI0eOULp06QxtoqOjGTFiRDaPTERERERERCT7aYaMZIvKlSvbnPv4+HDu3DkADh48iK+vr5GMAahVq1aW/e3evZt169ZhsViMo2zZsgAcP3480zaRkZEkJCQYx5kzZ/7NkERERERERERyjGbISLbInz+/zbnJZCI9Pf2++0tKSqJ58+aMHz8+wzUfH59M25jNZsxm833fU0RERERERCS3KCEjOa5cuXKcOXOG+Ph4I5ny008/ZdmmWrVqLF26FD8/P+zt9TUVERERERGRR4uWLEmOa9y4MaVLl6ZLly7s3r2bjRs38s4772TZ5o033uCvv/6iQ4cObN++nePHj7N69Wq6du1KWlpaLkUuIiIiIiIikjOUkJEcly9fPpYvX861a9eoUaMGr7zyCmPGjMmyTdGiRdm8eTNpaWk888wzVKpUiYiICDw8PMiXT19bERERERERebiZrFarNa+DEMkJiYmJuLu7k5CQgJubW16HIyIiIiIiIo+4e/kdqqkGIiIiIiIiIiK5TAkZEREREREREZFcptfXyCOv3pBF2Jmd8jqMu7ZzQue8DkFERERERERymGbIyAMhKiqKqlWr5nUYIiIiIiIiIrlCCRlh69at2NnZ0axZs7wORUREREREROSxoISMMHv2bHr37s2GDRv4/fffb1vParWSmpqai5GJiIiIiIiIPJqUkHnMJSUlsWTJEnr06EGzZs2IiYkxrsXGxmIymfj222+pXr06ZrOZTZs2kZ6ezrvvvktAQABms5kSJUowZswYo92gQYMoXbo0zs7OlCpViqFDh5KSkmJz33HjxlGkSBFcXV3p1q0b169fzxDbxx9/TLly5XB0dKRs2bK8//77OfYcRERERERERHKTNvV9zH322WeULVuWMmXK8NJLLxEREUFkZCQmk8moM3jwYCZOnEipUqUoUKAAkZGRzJo1iylTpvDUU08RHx/PoUOHjPqurq7ExMRQtGhR9u7dy6uvvoqrqysDBw407hkVFcV///tfnnrqKRYsWMD06dMpVaqU0cfChQsZNmwYM2bMICgoiF27dvHqq6/i4uJCly5dMh1LcnIyycnJxnliYmJ2Py4RERERERGRbGGyWq3WvA5C8k6dOnVo164dffv2JTU1FR8fHz7//HNCQkKIjY2lQYMGrFixgpYtWwJw+fJlvLy8mDFjBq+88spd3WPixIksXryYHTt2AFC7dm2CgoL473//a9T5z3/+w/Xr14mLiwMgICCAUaNG0aFDB6PO6NGj+eabb9iyZUum94mKimLEiBEZyqv0/kBvWRIREREREZEcl5iYiLu7OwkJCbi5uWVZV0uWHmOHDx/m559/NpIe9vb2tG/fntmzZ9vUCw4ONj4fPHiQ5ORkGjVqdNt+lyxZQp06dfD29sZisTBkyBBOnz5t00fNmjVt2tSqVcv4fOXKFY4fP063bt2wWCzGMXr0aI4fP37b+0ZGRpKQkGAcZ86cubsHISIiIiIiIpLLtGTpMTZ79mxSU1MpWrSoUWa1WjGbzcyYMcMoc3FxMT47OWU902Tr1q107NiRESNGEBoairu7O4sXL2bSpEl3HVdSUhIAs2bNypC4sbOzu207s9mM2Wy+6/uIiIiIiIiI5BUlZB5TqampzJ8/n0mTJvHMM8/YXGvVqhWLFi2ibNmyGdoFBgbi5OTE2rVrM12ytGXLFp544gneeecdo+zUqVM2dcqVK8e2bdvo3Pn/l+b89NNPxuciRYpQtGhRTpw4QceOHe97jCIiIiIiIiIPKiVkHlOrVq3i4sWLdOvWDXd3d5trrVu3Zvbs2UyYMCFDO0dHRwYNGsTAgQNxcHCgTp06nD9/nv3799OtWzcCAwM5ffo0ixcv5sknn+Trr79m+fLlNn307duX8PBwgoODqVOnDgsXLmT//v02m/qOGDGCPn364O7uTlhYGMnJyezYsYOLFy/y5ptv5sxDEREREREREckl2kPmMTV79mwaN26cIRkDNxMyO3bsYM+ePZm2HTp0KP3792fYsGGUK1eO9u3bc+7cOQBatGhBv3796NWrF1WrVmXLli0MHTrUpn379u0ZOnQoAwcOpHr16pw6dYoePXrY1HnllVf4+OOPmTt3LpUqVaJ+/frExMRQsmTJbHoCIiIiIiIiInlHb1mSR9a97G4tIiIiIiIi8m/pLUsiIiIiIiIiIg8wJWRERERERERERHKZNvWVR169IYuwM2f9uu4Hwc4Jne9cSURERERERB4JmiHzmImJicHDwyNb+lqxYgUBAQHY2dkRERGRLX2KiIiIiIiIPA6UkHkEhYeHYzKZMJlMODg4EBAQwMiRI0lNTb2v/vz8/Jg6dWqG8tdee402bdpw5swZRo0a9S+jFhEREREREXl8aMnSIyosLIy5c+eSnJzMN998wxtvvEH+/Pnx8fHJlv6TkpI4d+4coaGhFC1a9L77uXHjBg4ODtkSk4iIiIiIiMjDQjNkHlFmsxlvb2+eeOIJevToQePGjfnyyy8z1Dt+/DgtW7akSJEiWCwWnnzySdasWWNcDwkJ4dSpU/Tr18+YdRMbG4urqysADRs2NMoAli5dSoUKFTCbzfj5+TFp0iSb+/n5+TFq1Cg6d+6Mm5sb3bt3N5ZRrVq1ijJlyuDs7EybNm24evUq8+bNw8/PjwIFCtCnTx/S0tJy7qGJiIiIiIiI5BIlZB4TTk5O3LhxI0N5UlISTZs2Ze3atezatYuwsDCaN2/O6dOnAVi2bBnFixdn5MiRxMfHEx8fT+3atTl8+DBwMwFzq2znzp20a9eOF154gb179xIVFcXQoUOJiYmxuefEiROpUqUKu3btYujQoQBcvXqV6dOns3jxYr777jtiY2N57rnn+Oabb/jmm29YsGABH374IV988cVtx5icnExiYqLNISIiIiIiIvIg0pKlR5zVamXt2rWsXr2a3r17Z7hepUoVqlSpYpyPGjWK5cuX8+WXX9KrVy88PT2xs7PD1dUVb29vo17hwoUB8PT0NMonT55Mo0aNjCRL6dKlOXDgABMmTCA8PNxo27BhQ/r372+cb9y4kZSUFGbOnIm/vz8Abdq0YcGCBZw9exaLxUL58uVp0KAB69ato3379pmONTo6mhEjRtznkxIRERERERHJPZoh84hatWoVFosFR0dHmjRpQvv27YmKispQLykpiQEDBlCuXDk8PDywWCwcPHjQmCFzLw4ePEidOnVsyurUqcPRo0dtlhoFBwdnaOvs7GwkYwCKFCmCn58fFovFpuzcuXO3vX9kZCQJCQnGcebMmXseg4iIiIiIiEhu0AyZR1SDBg2YOXMmDg4OFC1aFHv7zP+pBwwYwA8//MDEiRMJCAjAycmJNm3aZLq8Kbu4uLhkKMufP7/NuclkyrQsPT39tv2azWbMZnP2BCkiIiIiIiKSg5SQeUS5uLgQEBBwx3qbN28mPDyc5557Drg5Y+bkyZM2dRwcHO5qM91y5cqxefPmDP2XLl0aOzu7uw9eRERERERE5BGnJUuPucDAQJYtW0ZcXBy7d+/mxRdfzDALxc/Pjw0bNvDbb7/x559/3rav/v37s3btWkaNGsWRI0eYN28eM2bMYMCAATk9DBEREREREZGHihIyj7nJkydToEABateuTfPmzQkNDaVatWo2dUaOHMnJkyfx9/fHy8vrtn1Vq1aNzz77jMWLF1OxYkWGDRvGyJEjbTb0FREREREREREwWa1Wa14HIZITEhMTcXd3JyEhATc3t7wOR0RERERERB5x9/I7VDNkRERERERERERymRIyIiIiIiIiIiK5TG9ZkkdevSGLsDM75XUYd7RzQue8DkFERERERERyiWbISI6JiYnBw8Mj2/qLjY3FZDJx6dKlbOtTREREREREJC8oIfOYCA8Px2Qy3fbw8/P7V/37+fkxdepUm7L27dtz5MiRf9WviIiIiIiIyKNICZnHxLRp04iPjzcOgLlz5xrn27dvz/Z7Ojk5Ubhw4WzvV0RERERERORhp4TMY8Ld3R1vb2/jAPDw8DDOJ06cSOnSpXF2dqZUqVIMHTqUlJQUmz6++uornnzySRwdHSlUqBDPPfccACEhIZw6dYp+/foZM24g8yVLt+sDYMGCBQQHB+Pq6oq3tzcvvvgi586dy8GnIiIiIiIiIpI3lJARAFxdXYmJieHAgQNMmzaNWbNmMWXKFOP6119/zXPPPUfTpk3ZtWsXa9eupUaNGgAsW7aM4sWLM3LkSJsZOP+UVR8AKSkpjBo1it27d7NixQpOnjxJeHj4XY8hOTmZxMREm0NERERERETkQaS3LAkAQ4YMMT77+fkxYMAAFi9ezMCBAwEYM2YML7zwAiNGjDDqValSBQBPT0/s7OyMmS23k1UfAC+//LLxuVSpUkyfPp0nn3ySpKQkLBbLHccQHR1t07eIiIiIiIjIg0ozZASAJUuWUKdOHby9vbFYLAwZMoTTp08b1+Pi4mjUqNG/used+ti5cyfNmzenRIkSuLq6Ur9+fQCbOLISGRlJQkKCcZw5c+ZfxSsiIiIiIiKSU5SQEbZu3UrHjh1p2rQpq1atYteuXbzzzjvcuHHDqOPk5PSv75NVH1euXCE0NBQ3NzcWLlzI9u3bWb58OYBNHFkxm824ubnZHCIiIiIiIiIPIiVkhC1btvDEE0/wzjvvEBwcTGBgIKdOnbKpU7lyZdauXXvbPhwcHEhLS8vyPln1cejQIS5cuMC4ceOoW7cuZcuW1Ya+IiIiIiIi8shSQkYIDAzk9OnTLF68mOPHjzN9+nRjdsotw4cPZ9GiRQwfPpyDBw+yd+9exo8fb1z38/Njw4YN/Pbbb/z555+Z3ierPkqUKIGDgwPvvfceJ06c4Msvv2TUqFE5N2gRERERERGRPKSEjNCiRQv69etHr169qFq1Klu2bGHo0KE2dUJCQvj888/58ssvqVq1Kg0bNuTnn382ro8cOZKTJ0/i7++Pl5dXpvfJqg8vLy9iYmL4/PPPKV++POPGjWPixIk5N2gRERERERGRPGSyWq3WvA5CJCckJibi7u5OQkKC9pMRERERERGRHHcvv0M1Q0ZEREREREREJJcpISMiIiIiIiIiksvs8zoAkZxWb8gi7Mz//rXdOWnnhM55HYKIiIiIiIjkIs2QeUyFhIQQERFxT21MJhMrVqzIlXuJiIiIiIiIPMo0Q+YRFx4ezrx58zKUb9u2jXLlymXrvWJjY2nQoAEXL17Ew8PDKF+2bBn58+fP1nuJiIiIiIiIPMyUkHkMhIWFMXfuXJsyLy8v7OzscuX+np6euXIfERERERERkYeFliw9BsxmM97e3jZHo0aNbJYRxcfH06xZM5ycnChZsiSffvopfn5+TJ061aavP//8k+eeew5nZ2cCAwP58ssvATh58iQNGjQAoECBAphMJsLDw4GMS5b8/PwYO3YsL7/8Mq6urpQoUYKPPvrI5j5btmyhatWqODo6EhwczIoVKzCZTMTFxWX34xERERERERHJdUrICACdO3fm999/JzY2lqVLl/LRRx9x7ty5DPVGjBhBu3bt2LNnD02bNqVjx4789ddf+Pr6snTpUgAOHz5MfHw806ZNu+39Jk2aRHBwMLt27aJnz5706NGDw4cPAzff2968eXMqVarEL7/8wqhRoxg0aNAdx5CcnExiYqLNISIiIiIiIvIgUkLmMbBq1SosFotxtG3b1ub6oUOHWLNmDbNmzaJmzZpUq1aNjz/+mGvXrmXoKzw8nA4dOhAQEMDYsWNJSkri559/xs7OzliaVLhwYby9vXF3d79tTE2bNqVnz54EBAQwaNAgChUqxLp16wD49NNPMZlMzJo1i/Lly9OkSRPeeuutO44zOjoad3d34/D19b2XxyQiIiIiIiKSa5SQeQw0aNCAuLg445g+fbrN9cOHD2Nvb0+1atWMsoCAAAoUKJChr8qVKxufXVxccHNzy3QmzZ38vR+TyYS3t7fRz+HDh6lcuTKOjo5GnRo1atyxz8jISBISEozjzJkz9xyXiIiIiIiISG7Qpr6PARcXFwICArKlr3++LclkMpGenp5n/fyd2WzGbDb/qz5EREREREREcoNmyAhlypQhNTWVXbt2GWXHjh3j4sWL99SPg4MDAGlpaf86nr1795KcnGyUbd++/V/1KSIiIiIiIvIgUUJGKFu2LI0bN6Z79+78/PPP7Nq1i+7du+Pk5ITJZLrrfp544glMJhOrVq3i/PnzJCUl3Vc8L774Iunp6XTv3p2DBw+yevVqJk6cCHBP8YiIiIiIiIg8qJSQEQDmz59PkSJFqFevHs899xyvvvoqrq6uNvu43EmxYsUYMWIEgwcPpkiRIvTq1eu+YnFzc+Orr74iLi6OqlWr8s477zBs2DCAe4pHRERERERE5EFlslqt1rwOQh48//vf//D19WXNmjU0atQor8Nh4cKFdO3alYSEBJycnO6qTWJiIu7u7iQkJODm5pbDEYqIiIiIiMjj7l5+h2pTXwHgxx9/JCkpiUqVKhEfH8/AgQPx8/OjXr16eRLP/PnzKVWqFMWKFWP37t0MGjSIdu3a3XUyRkRERERERORBpoSMAJCSksLbb7/NiRMncHV1pXbt2ixcuDDD25Byyx9//MGwYcP4448/8PHxoW3btowZMyZPYhERERERERHJblqyJI+sW1PFqvT+ADvzgzezZueEznkdgoiIiIiIiGSje1mypE19c5jJZGLFihV5HcY9CQ8Pp1WrVv+6n5MnT2IymYiLiwMgNjYWk8nEpUuX7qp9SEgIERER/zoOERERERERkQeNEjJZuJVAuHUUKVKE1q1bc+LEibvuIz4+niZNmtx1/ZiYGDw8PO4j2tx37NgxunbtSvHixTGbzZQsWZIOHTqwY8eOTOvXrl2b+Ph43N3dczlSERERERERkQeLEjJ34fDhw/z+++98/vnn7N+/n+bNm5OWlnZXbb29vTGbzTkcYe7bsWMH1atX58iRI3z44YccOHCA5cuXU7ZsWfr3759pGwcHB7y9vTGZTLkcrYiIiIiIiMiDRQmZu1C4cGF8fHyoV68ew4YN48CBAxw7dgyAmTNn4u/vj4ODA2XKlGHBggU2bf++ZOnWEp5ly5bRoEEDnJ2dqVKlClu3bgVuzsi59WrnW7NyoqKibhvX5MmTqVSpEi4uLvj6+tKzZ0+SkpKM67dm26xevZpy5cphsVgICwsjPj7eqJOWlsabb76Jh4cHBQsWZODAgdxpWyGr1Up4eDiBgYFs3LiRZs2a4e/vT9WqVRk+fDgrV67MtF1mS5Y2b95MSEgIzs7OFChQgNDQUC5evJhp+6+//hp3d3cWLlyYZXwiIiIiIiIiDzolZO7Rrdcu37hxg+XLl9O3b1/69+/Pvn37eO211+jatSvr1q3Lso933nmHAQMGEBcXR+nSpenQoQOpqanUrl2bqVOn4ubmRnx8PPHx8QwYMOC2/eTLl4/p06ezf/9+5s2bx48//sjAgQNt6ly9epWJEyeyYMECNmzYwOnTp236nDRpEjExMcyZM4dNmzbx119/sXz58izjj4uLY//+/fTv3598+TJ+he52yVVcXByNGjWifPnybN26lU2bNt129tGnn35Khw4dWLhwIR07dsy0v+TkZBITE20OERERERERkQeRXnt9D+Lj45k4cSLFihWjTJkyvP7664SHh9OzZ08A3nzzTX766ScmTpxIgwYNbtvPgAEDaNasGQAjRoygQoUKHDt2jLJly+Lu7o7JZMLb2/uO8fx9w1s/Pz9Gjx7N66+/zvvvv2+Up6Sk8MEHH+Dv7w9Ar169GDlypHF96tSpREZG8vzzzwPwwQcfsHr16izve/ToUQDKli17xxiz8u677xIcHGwTb4UKFTLU++9//8s777zDV199Rf369W/bX3R0NCNGjPhXMYmIiIiIiIjkBs2QuQvFixfHxcWFokWLcuXKFZYuXYqDgwMHDx6kTp06NnXr1KnDwYMHs+yvcuXKxmcfHx8Azp07d9v6Y8eOxWKxGMfp06cBWLNmDY0aNaJYsWK4urrSqVMnLly4wNWrV422zs7ORjLm1v1u3SshIYH4+Hhq1qxpXLe3tyc4ONg4X7hwoc29N27ceMclTXfr1gyZrHzxxRf069ePH374IctkDEBkZCQJCQnGcebMmWyJU0RERERERCS7aYbMXdi4cSNubm4ULlwYV1fXf91f/vz5jc+3NrhNT0+/bf3XX3+ddu3aGedFixbl5MmTPPvss/To0YMxY8bg6enJpk2b6NatGzdu3MDZ2TnDvW7d714SKi1atLBJ2BQrVoxDhw4BcOjQIYKCgu66r3+6tfwrK0FBQfzyyy/MmTOH4ODgLDcENpvNj+QGyiIiIiIiIvLo0QyZu1CyZEn8/f0zJGPKlSvH5s2bbco2b95M+fLl7/teDg4OGfZQ8fT0JCAgwDjs7e3ZuXMn6enpTJo0if/85z+ULl2a33///Z7u5e7ujo+PD9u2bTPKUlNT2blzp3Hu6upqc28nJyeqVq1K+fLlmTRpUqaJpL9v2puVypUrs3bt2izr+Pv7s27dOlauXEnv3r3vbmAiIiIiIiIiDzjNkPkX3nrrLdq1a0dQUBCNGzfmq6++YtmyZaxZs+a++/Tz8yMpKYm1a9dSpUoVnJ2djdkufxcQEEBKSgrvvfcezZs3Z/PmzXzwwQf3fL++ffsybtw4AgMDKVu2LJMnT75jQsVkMjF37lwaN25M3bp1eeeddyhbtixJSUl89dVXfP/996xfv/6O946MjKRSpUr07NmT119/HQcHB9atW0fbtm0pVKiQUa906dKsW7eOkJAQ7O3tmTp16j2PU0RERERERORBohky/0KrVq2YNm0aEydOpEKFCnz44YfMnTuXkJCQ++6zdu3avP7667Rv3x4vLy/efffdTOtVqVKFyZMnM378eCpWrMjChQuJjo6+5/v179+fTp060aVLF2rVqoWrqyvPPffcHdvVqFGDHTt2EBAQwKuvvkq5cuVo0aIF+/fvv+uESenSpfn+++/ZvXs3NWrUoFatWqxcuRJ7+4x5wjJlyvDjjz+yaNEi+vfvf6/DFBEREREREXmgmKzZtUOryAMmMTERd3d3EhIScHNzy+twRERERERE5BF3L79DNUNGRERERERERCSXKSEjIiIiIiIiIpLLtKmvPPLqDVmEnfnOr9jOaTsndM7rEEREREREROQBoRkykqtiYmLw8PDI6zBERERERERE8tS/SsgcO3aM1atXc+3aNQC0P/CDKzw8HJPJZBwFCxYkLCyMPXv25HVoIiIiIiIiIo+d+0rIXLhwgcaNG1O6dGmaNm1KfHw8AN26ddMriR9gYWFhxMfHEx8fz9q1a7G3t+fZZ5+9bf2UlJRcjO7uPahxiYiIiIiIiNyt+0rI9OvXD3t7e06fPo2zs7NR3r59e7777rtsC06yl9lsxtvbG29vb6pWrcrgwYM5c+YM58+f5+TJk5hMJpYsWUL9+vVxdHRk4cKFXLhwgQ4dOlCsWDGcnZ2pVKkSixYtMvpctWoVHh4epKWlARAXF4fJZGLw4MFGnVdeeYWXXnrptnGtXLmSatWq4ejoSKlSpRgxYgSpqanGdZPJxMyZM2nRogUuLi6MGTMmB56OiIiIiIiISO65r019v//+e1avXk3x4sVtygMDAzl16lS2BCY5KykpiU8++YSAgAAKFizIlStXABg8eDCTJk0iKCgIR0dHrl+/TvXq1Rk0aBBubm58/fXXdOrUCX9/f2rUqEHdunW5fPkyu3btIjg4mPXr11OoUCFiY2ONe61fv55BgwZlGsfGjRvp3Lkz06dPp27duhw/fpzu3bsDMHz4cKNeVFQU48aNY+rUqdjbZ/61TU5OJjk52ThPTEz8t49JREREREREJEfcV0LmypUrNjNjbvnrr78wm83/OijJGatWrcJisQA3/w19fHxYtWoV+fL9/0SpiIgInn/+eZt2AwYMMD737t2b1atX89lnn1GjRg3c3d2pWrUqsbGxBAcHExsbS79+/RgxYgRJSUkkJCRw7Ngx6tevn2lMI0aMYPDgwXTp0gWAUqVKMWrUKAYOHGiTkHnxxRfp2rVrluOLjo5mxIgR9/ZQRERERERERPLAfS1Zqlu3LvPnzzfOTSYT6enpvPvuuzRo0CDbgpPs1aBBA+Li4oiLi+Pnn38mNDSUJk2a2MxqCg4OtmmTlpbGqFGjqFSpEp6enlgsFlavXs3p06eNOvXr1yc2Nhar1crGjRt5/vnnKVeuHJs2bWL9+vUULVqUwMDATGPavXs3I0eOxGKxGMerr75KfHw8V69evW1cmYmMjCQhIcE4zpw5c6+PSERERERERCRX3NcMmXfffZdGjRqxY8cObty4wcCBA9m/fz9//fUXmzdvzu4YJZu4uLgQEBBgnH/88ce4u7sza9YsXnnlFaPO302YMIFp06YxdepUKlWqhIuLCxEREdy4ccOoExISwpw5c9i9ezf58+enbNmyhISEEBsby8WLF287OwZuLp0aMWJEhlk5AI6Ojjax34nZbNYMLREREREREXko3FdCpmLFihw5coQZM2bg6upKUlISzz//PG+88QY+Pj7ZHaPkEJPJRL58+YzXlmdm8+bNtGzZ0tiUNz09nSNHjlC+fHmjzq19ZKZMmWIkX0JCQhg3bhwXL17M8s1b1apV4/DhwzaJIhEREREREZFH3T0nZFJSUggLC+ODDz7gnXfeyYmYJIckJyfzxx9/AHDx4kVmzJhBUlISzZs3v22bwMBAvvjiC7Zs2UKBAgWYPHkyZ8+etUnIFChQgMqVK7Nw4UJmzJgBQL169WjXrh0pKSlZzpAZNmwYzz77LCVKlKBNmzbky5eP3bt3s2/fPkaPHp1NIxcRERERERF5sNzzHjL58+dnz549ORGL5LDvvvsOHx8ffHx8qFmzJtu3b+fzzz8nJCTktm2GDBlCtWrVCA0NJSQkBG9vb1q1apWhXv369UlLSzP68vT0pHz58nh7e1OmTJnb9h8aGsqqVav4/vvvefLJJ/nPf/7DlClTeOKJJ/7laEVEREREREQeXCar1Wq910b9+vXDbDYzbty4nIhJJFskJibi7u5OQkICbm5ueR2OiIiIiIiIPOLu5Xfofe0hk5qaypw5c1izZg3Vq1fPsOHq5MmT76dbEREREREREZHHwn0lZPbt20e1atUAOHLkiM01k8n076MSEREREREREXmE3VdCZt26ddkdh0iOqTdkEXZmpxzpe+eEzjnSr4iIiIiIiDza7nlTX3l0xMTE4OHhcU9twsPDM93UNyfuJSIiIiIiIvKouq+EzJUrVxg6dCi1a9cmICCAUqVK2Rzy4IiNjcVkMmU4hgwZQvv27TMsOcsOfn5+TJ061aYsp+4lIiIiIiIi8jC6ryVLr7zyCuvXr6dTp074+Pho35iHwOHDh212eLZYLDg5OeHklDNLef4pN+8lIiIiIiIi8qC7rxky3377LZ9//jnjx48nIiKCvn372hzy4ClcuDDe3t7GYbFYMl1GNHr0aAoXLoyrqyuvvPIKgwcPpmrVqhn6mzhxIj4+PhQsWJA33niDlJQUAEJCQjh16hT9+vUzZuNAxiVLUVFRVK1alQULFuDn54e7uzsvvPACly9fNupcvnyZjh074uLigo+PD1OmTCEkJISIiIjsfjwiIiIiIiIiueq+EjIFChTA09Mzu2ORPLZw4ULGjBnD+PHj2blzJyVKlGDmzJkZ6q1bt47jx4+zbt065s2bR0xMDDEx/8fenUdVVfV/HH9fVC4zOKA4oKgogvOQpuas4ZjTo+aM81iZmUU5m5HzkKkNCmgOaQ6ZWqakpjhr4IQ4ZfIUZpGCIyCc3x8t768bqGAK6PN5rbXX4uyzh++53lbrftfe+4QAsG7dOooVK8akSZOIjY0lNjb2vvOdP3+eDRs2sGnTJjZt2sSuXbv44IMPLPdHjhxJeHg4GzduZNu2bezevZujR4/ed7zExEQSEhKsioiIiIiIiEhO9EgJmcmTJzNu3Dhu3br1uOORJ6RYsWI4OTlZSlxcXJo2H374If369aNPnz6ULVuWcePGUbFixTTt8ubNy/z58ylXrhytW7emVatWhIWFAZAvXz5y5cqFs7OzZTXO/aSmphISEkKFChWoV68ePXv2tIxz/fp1QkNDmTFjBk2aNKFChQoEBweTkpJy3/GCgoJwdXW1FE9Pz8x+TCIiIiIiIiJZ4pHOkJk5cybnz5+nUKFCeHl5kSdPHqv7D1rFINlj9+7dODs7W67z5s2bpk10dDRDhw61qqtZsybff/+9VV358uXJlSuX5bpw4cIcP3480zF5eXlZxVS4cGGuXLkCwIULF0hOTqZmzZqW+66urvj4+Nx3vMDAQEaOHGm5TkhIUFJGREREREREcqRHSsg8ymuPJXuVLFnysb12+p8JOJPJRGpqaraNc4/ZbMZsNj9yfxEREREREZGs8kgJmfHjxz/uOCQH8PHx4dChQ/Tq1ctSd+jQoUyPY2tr+8CtRRlRqlQp8uTJw6FDhyhevDgA8fHxnDlzhvr16/+rsUVERERERESy2yOdIQNw7do1PvvsMwIDA/nzzz+Bv7Yq/fLLL48tOMlar7zyCosXLyY0NJSzZ8/y3nvvcezYsUy/1tzLy4sffviBX375hT/++OORYnF2dqZ37968+eab7Nixg5MnT9KvXz9sbGz0mnURERERERF56j1SQubYsWOULVuWqVOnMmPGDK5duwb89YadwMDAxxmfZKHu3bsTGBjIqFGjqFatGj/99BMBAQHY2dllapxJkyZx8eJFSpcujbu7+yPHM2vWLGrXrk3r1q1p2rQpdevWxdfXN9PxiIiIiIiIiOQ0JsMwjMx2atq0KdWqVWPatGk4OzsTGRlJqVKl2Lt3L926dePixYtPIFTJDs2aNcPDw4Nly5ZldyjcvHmTokWLMnPmTPr16/fQ9gkJCbi6uhIfH4+Li0sWRCgiIiIiIiL/yzLzO/SRzpA5dOgQH3/8cZr6okWLcvny5UcZUnKAW7dusWjRIvz9/cmVKxcrV65k+/btbNu2LVvi+fHHHzl9+jQ1a9YkPj6eSZMmAdC2bdtsiUdERERERETkcXmkhIzZbCYhISFN/ZkzZ/7VFhXJXiaTiS1btjBlyhTu3LmDj48Pa9eupWnTptkW04wZM4iOjsbW1pbq1auze/duChQokG3xiIiIiIiIiDwOj7RlqX///sTFxbF69Wry5cvHsWPHyJUrF+3ataN+/frMmTPnCYQqkjn3lopVfmURucz2j338I9N7PbyRiIiIiIiI/M/IzJalRzrUd+bMmdy4cYOCBQty+/ZtGjRogLe3N05OTkyZMuWRgpZnW8OGDRkxYkR2hyEiIiIiIiKSIzzSliVXV1e2bdtGeHg4kZGR3Lhxg2rVqmXr1hZ5NDt37qRRo0aW6wIFCvDcc88xdepUKlas+NjmWbduHXny5Hls44mIiIiIiIg8zTK1Qub27dts2rTJcr1p0ybOnTvH5cuX2bJlC6NHj+bOnTuPPUh58qKjo4mNjWXr1q0kJibSqlUrkpKSHtv4+fLlw9nZ+bGNJyIiIiIiIvI0y1RCJjQ01OrtSvPnz2fv3r38+OOP/PjjjyxbtoyFCxc+9iDlyStYsCAeHh5Uq1aNESNGEBMTw+nTpy33Z82aRcWKFXF0dMTT05OhQ4dy48YNqzHCw8Np2LAhDg4O5M2bF39/f65evQqk3bLk5eXF+++/T9++fXF2dqZ48eJ88sknVuPt3buXKlWqYGdnR40aNdiwYQMmk4mIiIgn9jmIiIiIiIiIZIVMJWSWL1/OwIEDrepWrFjBjh072LFjB9OnT2f16tWPNUDJWvHx8axatQoAW1tbS72NjQ3z5s3j5MmThIaG8v333zN69GjL/YiICJo0aYKfnx/79u1jz549tGnThpSUlPvONXPmTGrUqMGPP/7I0KFDGTJkCNHR0cBfByG1adOGihUrcvToUSZPnsxbb731wNgTExNJSEiwKiIiIiIiIiI5UabOkDl37pzVuSJ2dnbY2Px/TqdmzZoMGzbs8UUnWaZYsWIA3Lx5E4CXXnqJcuXKWe7/c3XLe++9x+DBg1mwYAEA06ZNo0aNGpZrgPLlyz9wzpYtWzJ06FAA3nrrLWbPns2OHTvw8fFhxYoVmEwmPv30U+zs7PDz8+OXX35hwIAB9x0vKCiIiRMnZu7BRURERERERLJBplbIXLt2jcTERMv177//jpeXl+U6NTXV6r48PXbv3s2RI0cICQmhbNmyLFq0yOr+9u3badKkCUWLFsXZ2ZmePXsSFxfHrVu3gP9fIZMZlSpVsvxtMpnw8PDgypUrwF9n2lSqVAk7OztLm5o1az5wvMDAQOLj4y0lJiYmU/GIiIiIiIiIZJVMJWSKFSvGiRMn7nv/2LFjlpUW8nQpWbIkPj4+9O7dm/79+9OlSxfLvYsXL9K6dWsqVarE2rVrOXLkCB999BGA5eBfe3v7TM/5z7cumUwmUlNTH/kZzGYzLi4uVkVEREREREQkJ8pUQqZly5aMGzcu3Tcp3b59m4kTJ9KqVavHFpxkj2HDhnHixAnWr18PwJEjR0hNTWXmzJk8//zzlC1bll9//dWqT6VKlQgLC3tsMfj4+HD8+HGrFVeHDh16bOOLiIiIiIiIZKdMJWTeeecd/vzzT3x8fJg+fTpfffUVX331FdOmTcPHx4erV6/yzjvvPKlYJYs4ODgwYMAAxo8fj2EYeHt7k5yczIcffsiFCxdYtmxZmi1NgYGBHDp0iKFDh3Ls2DFOnz7NwoUL+eOPPx4phm7dupGamsrAgQOJiopi69atzJgxA/hrJY2IiIiIiIjI0yxTCZlChQqxd+9efH19efvtt2nfvj3t27cnMDAQPz8/9uzZQ6FChZ5UrJKFhg8fTlRUFGvWrKFy5crMmjWLqVOnUqFCBZYvX05QUJBV+7Jly/Ldd98RGRlJzZo1qV27Nl999RW5c2fq3GgLFxcXvv76ayIiIqhSpQrvvvsu48aNA7A6V0ZERERERETkaWQyDMN4lI5//vkn586dA8Db25t8+fI91sBE/mn58uX06dOH+Pj4DJ1Zk5CQgKurK/Hx8TpPRkRERERERJ64zPwOfbTlC0C+fPke+tYbkX9j6dKllCpViqJFixIZGclbb71F586dH+kAYREREREREZGc5JETMiJP2uXLlxk3bhyXL1+mcOHCdOrUiSlTpmR3WCIiIiIiIiL/2iNvWRLJ6e4tFav8yiJymR/Pqpoj03s9lnFERERERETk2ZOZLUuZOtRX5Em6ePEiJpOJiIiI7A5FRERERERE5IlSQkYAKFeuHGazmcuXL2d3KCIiIiIiIiLPPCVkhD179nD79m3+85//EBoa+tD2SUlJWRCViIiIiIiIyLNLCRlh8eLFdOvWjZ49e7JkyZI09728vJg8eTK9evXCxcWFgQMHAhAeHk7Dhg1xcHAgb968+Pv7c/XqVQC+/fZbXnjhBdzc3MifPz+tW7fm/PnzVuMePHiQqlWrYmdnR40aNfjxxx/TzH3ixAlatGiBk5MThQoVomfPnvzxxx9P4FMQERERERERyTpKyPyPu379OmvWrKFHjx40a9aM+Ph4du/enabdjBkzqFy5Mj/++CNjx44lIiKCJk2a4Ofnx759+9izZw9t2rQhJSUFgJs3bzJy5EgOHz5MWFgYNjY2tG/fntTUVABu3LhB69at8fPz48iRI0yYMIFRo0ZZzXnt2jUaN25M1apVOXz4MN9++y2//fYbnTt3TvdZEhMTSUhIsCoiIiIiIiIiOZFee/0/btWqVZQpU4by5csD8PLLL7N48WLq1atn1a5x48a88cYblutu3bpRo0YNFixYYKm7NwZAx44drfovWbIEd3d3Tp06RYUKFVixYgWpqaksXrwYOzs7ypcvz3//+1+GDBli6TN//nyqVq3K+++/bzWOp6cnZ86coWzZslZzBAUFMXHixH/xaYiIiIiIiIhkDa2Q+R+3ZMkSevToYbnu0aMHa9as4fr161btatSoYXV9b4XM/Zw9e5auXbtSqlQpXFxc8PLyAuDSpUsAREVFUalSJezs7Cx9ateubTVGZGQkO3bswMnJyVLKlSsHkGb7E0BgYCDx8fGWEhMTk4FPQERERERERCTraYXM/7BTp06xf/9+Dh48yFtvvWWpT0lJYdWqVQwYMMBS5+joaNXX3t7+gWO3adOGEiVK8Omnn1KkSBFSU1OpUKFCpg4EvnHjBm3atGHq1Klp7hUuXDhNndlsxmw2Z3h8ERERERERkeyiFTL/wxYvXkz9+vWJjIwkIiLCUkaOHMnixYsf2LdSpUqEhYWley8uLo7o6GjGjBlDkyZN8PX1tRz2e4+vry/Hjh3jzp07lrr9+/dbtalWrRonT57Ey8sLb29vq/LPBJGIiIiIiIjI00QJmf9RycnJLFu2jK5du1KhQgWr0r9/fw4cOMDJkyfv2z8wMJBDhw4xdOhQjh07xunTp1m4cCF//PEHefPmJX/+/HzyySecO3eO77//npEjR1r179atGyaTiQEDBnDq1Cm2bNnCjBkzrNoMGzaMP//8k65du3Lo0CHOnz/P1q1b6dOnj+XwYBEREREREZGnkRIy/6M2btxIXFwc7du3T3PP19cXX1/fB66SKVu2LN999x2RkZHUrFmT2rVr89VXX5E7d25sbGxYtWoVR44coUKFCrz++utMnz7dqr+TkxNff/01x48fp2rVqrz77rtptiYVKVKE8PBwUlJSePHFF6lYsSIjRozAzc0NGxt9dUVEREREROTpZTIMw8juIESehISEBFxdXYmPj8fFxSW7wxEREREREZFnXGZ+h2qZgYiIiIiIiIhIFlNCRkREREREREQki+m11/LMqz9mJbnMD35N94Mcmd7rMUYjIiIiIiIiohUyIiIiIiIiIiJZTgkZybBPP/2UypUr4+TkhJubG1WrViUoKChL5p4wYQJVqlTJkrlEREREREREnjRtWZIMWbJkCSNGjGDevHk0aNCAxMREjh07xokTJ57ovIZhkJKS8kTnEBEREREREclqWiEjGbJx40Y6d+5Mv3798Pb2pnz58nTt2pUpU6ZY2gQEBNCuXTsmTpyIu7s7Li4uDB48mKSkJEubxMREXn31VQoWLIidnR0vvPAChw4dstzfuXMnJpOJb775hurVq2M2m/n888+ZOHEikZGRmEwmTCYTISEhWfn4IiIiIiIiIo+VVshIhnh4eLBr1y5+/vlnSpQocd92YWFh2NnZsXPnTi5evEifPn3Inz+/JXEzevRo1q5dS2hoKCVKlGDatGn4+/tz7tw58uXLZxnn7bffZsaMGZQqVQo7OzveeOMNvv32W7Zv3w6Aq6trmrkTExNJTEy0XCckJDyuxxcRERERERF5rLRCRjJk/PjxuLm54eXlhY+PDwEBAaxevZrU1FSrdra2tixZsoTy5cvTqlUrJk2axLx580hNTeXmzZssXLiQ6dOn06JFC/z8/Pj000+xt7dn8eLFVuNMmjSJZs2aUbp0aYoWLYqTkxO5c+fGw8MDDw8P7O3TvjUpKCgIV1dXS/H09Hyin4mIiIiIiIjIo1JCRjKkcOHC7Nu3j+PHj/Paa69x9+5devfuTfPmza2SMpUrV8bBwcFyXbt2bW7cuEFMTAznz58nOTmZunXrWu7nyZOHmjVrEhUVZTVfjRo1Mh1jYGAg8fHxlhITE/MITyoiIiIiIiLy5GnLkmRKhQoVqFChAkOHDmXw4MHUq1ePXbt20ahRo8c6j6OjY6b7mM1mzGbzY41DRERERERE5EnQChl5ZH5+fgDcvHnTUhcZGcnt27ct1/v378fJyQlPT09Kly6Nra0t4eHhlvvJyckcOnTIMtb92Nra6m1LIiIiIiIi8szQChnJkCFDhlCkSBEaN25MsWLFiI2N5b333sPd3Z3atWtb2iUlJdGvXz/GjBnDxYsXGT9+PMOHD8fGxgZHR0eGDBnCm2++Sb58+ShevDjTpk3j1q1b9OvX74Hze3l58dNPPxEREUGxYsVwdnbWahgRERERERF5aikhIxnStGlTlixZwsKFC4mLi6NAgQLUrl2bsLAw8ufPb2nXpEkTypQpQ/369UlMTKRr165MmDDBcv+DDz4gNTWVnj17cv36dWrUqMHWrVvJmzfvA+fv2LEj69ato1GjRly7do3g4GACAgKe0NOKiIiIiIiIPFkmwzCM7A5Cng0BAQFcu3aNDRs2ZHcowF+vvXZ1dSU+Ph4XF5fsDkdERERERESecZn5HaozZEREREREREREspgSMiIiIiIiIiIiWUxbluSZdW+pWOVXFpHLbP9IYxyZ3usxRyUiIiIiIiLPKm1Zkhzl4sWLmEwmIiIisjsUERERERERkRxBCRkhICAAk8mEyWQiT548lCxZktGjR3Pnzp3HMr6npyexsbFUqFDhsYwnIiIiIiIi8rTTa68FgObNmxMcHExycjJHjhyhd+/emEwmpk6d+q/HzpUrFx4eHo8hShEREREREZFng1bICABmsxkPDw88PT1p164dTZs2Zdu2bQDExcXRtWtXihYtioODAxUrVmTlypVW/VNTU5k2bRre3t6YzWaKFy/OlClTgLRblnbu3InJZCIsLIwaNWrg4OBAnTp1iI6Othrzvffeo2DBgjg7O9O/f3/efvttqlSp8sQ/CxEREREREZEnTQkZSePEiRPs3bsXW1tbAO7cuUP16tXZvHkzJ06cYODAgfTs2ZODBw9a+gQGBvLBBx8wduxYTp06xYoVKyhUqNAD53n33XeZOXMmhw8fJnfu3PTt29dyb/ny5UyZMoWpU6dy5MgRihcvzsKFCx84XmJiIgkJCVZFREREREREJCfSliUBYNOmTTg5OXH37l0SExOxsbFh/vz5ABQtWpRRo0ZZ2r7yyits3bqV1atXU7NmTa5fv87cuXOZP38+vXv3BqB06dK88MILD5xzypQpNGjQAIC3336bVq1acefOHezs7Pjwww/p168fffr0AWDcuHF899133Lhx477jBQUFMXHixH/1OYiIiIiIiIhkBa2QEQAaNWpEREQEBw4coHfv3vTp04eOHTsCkJKSwuTJk6lYsSL58uXDycmJrVu3cunSJQCioqJITEykSZMmmZqzUqVKlr8LFy4MwJUrVwCIjo6mZs2aVu3/ef1PgYGBxMfHW0pMTEym4hERERERERHJKlohIwA4Ojri7e0NwJIlS6hcuTKLFy+mX79+TJ8+nblz5zJnzhwqVqyIo6MjI0aMICkpCQB7e/tHmjNPnjyWv00mE/DXWTSPymw2YzabH7m/iIiIiIiISFbRChlJw8bGhnfeeYcxY8Zw+/ZtwsPDadu2LT169KBy5cqUKlWKM2fOWNqXKVMGe3t7wsLCHlsMPj4+HDp0yKrun9ciIiIiIiIiTyslZCRdnTp1IleuXHz00UeUKVOGbdu2sXfvXqKiohg0aBC//fabpa2dnR1vvfUWo0ePZunSpZw/f579+/ezePHiR57/lVdeYfHixYSGhnL27Fnee+89jh07ZllJIyIiIiIiIvI005YlSVfu3LkZPnw406ZN48cff+TChQv4+/vj4ODAwIEDadeuHfHx8Zb2Y8eOJXfu3IwbN45ff/2VwoULM3jw4Eeev3v37ly4cIFRo0Zx584dOnfuTEBAgNWbnURERERERESeVibDMIzsDkIkI5o1a4aHhwfLli3LUPuEhARcXV2Jj4/HxcXlCUcnIiIiIiIi/+sy8ztUK2QkR7p16xaLFi3C39+fXLlysXLlSrZv3862bduyOzQRERERERGRf00JGcmRTCYTW7ZsYcqUKdy5cwcfHx/Wrl1L06ZNszs0ERERERERkX9NCRnJkezt7dm+fftjGav+mJXkMmf+1dxHpvd6LPOLiIiIiIiI/JPesvQMMplMbNiw4YnP4+XlxZw5c574PCIiIiIiIiLPGiVknkK///47Q4YMoXjx4pjNZjw8PPD39yc8PByA2NhYWrRokc1RphUSEoKbm1t2hyEiIiIiIiKS7bRl6SnUsWNHkpKSCA0NpVSpUvz222+EhYURFxcHgIeHRzZH+GSlpKRgMpmwsVE+UURERERERJ5O+kX7lLl27Rq7d+9m6tSpNGrUiBIlSlCzZk0CAwN56aWXAOstSxcvXsRkMrF69Wrq1auHvb09zz33HGfOnOHQoUPUqFEDJycnWrRowe+//26Zp2HDhowYMcJq7nbt2hEQEHDf2GbNmkXFihVxdHTE09OToUOHcuPGDQB27txJnz59iI+Px2QyYTKZmDBhAgBXr16lV69e5M2bFwcHB1q0aMHZs2ct495bWbNx40b8/Pwwm81cunTp33+YIiIiIiIiItlECZmnjJOTE05OTmzYsIHExMQM9xs/fjxjxozh6NGj5M6dm27dujF69Gjmzp3L7t27OXfuHOPGjftXsdnY2DBv3jxOnjxJaGgo33//PaNHjwagTp06zJkzBxcXF2JjY4mNjWXUqFEABAQEcPjwYTZu3Mi+ffswDIOWLVuSnJxsGfvWrVtMnTqVzz77jJMnT1KwYME08ycmJpKQkGBVRERERERERHIibVl6yuTOnZuQkBAGDBjAokWLqFatGg0aNODll1+mUqVK9+03atQo/P39AXjttdfo2rUrYWFh1K1bF4B+/foREhLyr2L7+4oaLy8v3nvvPQYPHsyCBQuwtbXF1dUVk8lktaXq7NmzbNy4kfDwcOrUqQPA8uXL8fT0ZMOGDXTq1AmA5ORkFixYQOXKle87f1BQEBMnTvxXzyAiIiIiIiKSFbRC5inUsWNHfv31VzZu3Ejz5s3ZuXMn1apVe2BC5e/JmkKFCgFQsWJFq7orV678q7i2b99OkyZNKFq0KM7OzvTs2ZO4uDhu3bp13z5RUVHkzp2bWrVqWery58+Pj48PUVFRljpbW9sHJpwAAgMDiY+Pt5SYmJh/9TwiIiIiIiIiT4oSMk8pOzs7mjVrxtixY9m7dy8BAQGMHz/+vu3z5Mlj+dtkMqVbl5qaarm2sbHBMAyrMf6+heifLl68SOvWralUqRJr167lyJEjfPTRRwAkJSVl7uHSYW9vb4n7fsxmMy4uLlZFREREREREJCdSQuYZ4efnx82bNx/beO7u7sTGxlquU1JSOHHixH3bHzlyhNTUVGbOnMnzzz9P2bJl+fXXX63a2NrakpKSYlXn6+vL3bt3OXDggKUuLi6O6Oho/Pz8HtPTiIiIiIiIiOQsSsg8ZeLi4mjcuDGff/45x44d46effmLNmjVMmzaNtm3bPrZ5GjduzObNm9m8eTOnT59myJAhXLt27b7tvb29SU5O5sMPP+TChQssW7aMRYsWWbXx8vLixo0bhIWF8ccff3Dr1i3KlClD27ZtGTBgAHv27CEyMpIePXpQtGjRx/o8IiIiIiIiIjmJEjJPGScnJ2rVqsXs2bOpX78+FSpUYOzYsQwYMID58+c/tnn69u1L79696dWrFw0aNKBUqVI0atTovu0rV67MrFmzmDp1KhUqVGD58uUEBQVZtalTpw6DBw+mS5cuuLu7M23aNACCg4OpXr06rVu3pnbt2hiGwZYtW6y2VImIiIiIiIg8S0zGPw8KEXlGJCQk4OrqSnx8vM6TERERERERkScuM79DtUJGRERERERERCSLKSEjIiIiIiIiIpLFcmd3ACJPWv0xK8llts9w+yPTez3BaERERERERES0QkZymAkTJlClSpXsDkNERERERETkiVJCRh5o586dmEwm8ubNy507d6zuHTp0CJPJhMlkemzzjRo1irCwsMc2noiIiIiIiEhOpISMZIizszPr16+3qlu8eDHFixd/rPM4OTmRP3/+xzqmiIiIiIiISE6jhIxkSO/evVmyZInl+vbt26xatYrevXtbtUtvy9GcOXPw8vKyXO/cuZOaNWvi6OiIm5sbdevW5eeff75v/yVLllC+fHnMZjOFCxdm+PDhj/XZRERERERERLKaEjKSIT179mT37t1cunQJgLVr1+Ll5UW1atUyNc7du3dp164dDRo04NixY+zbt4+BAwfed9vTwoULGTZsGAMHDuT48eNs3LgRb2/vdNsmJiaSkJBgVURERERERERyIr1lSTKkYMGCtGjRgpCQEMaNG8eSJUvo27dvpsdJSEggPj6e1q1bU7p0aQB8fX3v2/69997jjTfe4LXXXrPUPffcc+m2DQoKYuLEiZmOSURERERERCSraYWMZFjfvn0JCQnhwoUL7Nu3j+7du2d6jHz58hEQEIC/vz9t2rRh7ty5xMbGptv2ypUr/PrrrzRp0iRDYwcGBhIfH28pMTExmY5PREREREREJCsoISMZ1qJFC27fvk2/fv1o06ZNuofv2tjYYBiGVV1ycrLVdXBwMPv27aNOnTp88cUXlC1blv3796cZy97ePlPxmc1mXFxcrIqIiIiIiIhITqSEjGRY7ty56dWrFzt37rzvdiV3d3cuX75slZSJiIhI065q1aoEBgayd+9eKlSowIoVK9K0cXZ2xsvLS6/BFhERERERkWeOEjKSKZMnT+b333/H398/3fsNGzbk999/Z9q0aZw/f56PPvqIb775xnL/p59+IjAwkH379vHzzz/z3Xffcfbs2fueIzNhwgRmzpzJvHnzOHv2LEePHuXDDz98Is8mIiIiIiIiklWUkJFMsbW1pUCBAvd9K5Kvry8LFizgo48+onLlyhw8eJBRo0ZZ7js4OHD69Gk6duxI2bJlGThwIMOGDWPQoEHpjte7d2/mzJnDggULKF++PK1bt+bs2bNP5NlEREREREREsorJ+OeBHyLPiISEBFxdXYmPj9d5MiIiIiIiIvLEZeZ3qFbIiIiIiIiIiIhkMSVkRERERERERESyWO7sDkDkSas/ZiW5zBl7hfaR6b2ecDQiIiIiIiIiWiEDgJeXF3PmzMnuMLLMzp07MZlMXLt2LbtDEREREREREfmflCMTMpcvX+aVV16hVKlSmM1mPD09adOmDWFhYdkW07lz5/D398fFxYV8+fLRokULfv/994f2CwkJwWQyWYqTkxPVq1dn3bp1WRD1v/Pjjz/SpUsXChcujNlspkSJErRu3Zqvv/4anQUtIiIiIiIi8uhy3JalixcvUrduXdzc3Jg+fToVK1YkOTmZrVu3MmzYME6fPv1I46akpGAymbCxebQc1MCBA4mPj2fXrl04ODiwb9++DCclXFxciI6OBuD69esEBwfTuXNnTp48iY+PzyPFkxFJSUnY2to+Ut+vvvqKzp0707RpU0JDQ/H29iYxMZG9e/cyZswY6tWrh5ub2+MNWEREREREROR/RI5bITN06FBMJhMHDx6kY8eOlC1blvLlyzNy5Ej2799vaTdr1iwqVqyIo6Mjnp6eDB06lBs3bljuh4SE4ObmxsaNG/Hz88NsNnPp0iWuXLlCmzZtsLe3p2TJkixfvjxDcdnY2ODv70/VqlXx8fEhICCAggULZqivyWTCw8MDDw8PypQpw3vvvYeNjQ3Hjh2ztLl69Sq9evUib968ODg40KJFC86ePWu5HxcXR9euXSlatCgODg5UrFiRlStXWs3TsGFDhg8fzogRIyhQoAD+/v4AbNmyhbJly2Jvb0+jRo24ePHiA+O9efMm/fr1o1WrVmzevJkXX3yRUqVK4evrS79+/YiMjMTV1RX4K9HVr18/SpYsib29PT4+PsydO9dqvICAANq1a8f7779PoUKFcHNzY9KkSdy9e5c333yTfPnyUaxYMYKDg636xcTE0LlzZ9zc3MiXLx9t27Z9aOwiIiIiIiIiT4MclZD5888/+fbbbxk2bBiOjo5p7v99RYaNjQ3z5s3j5MmThIaG8v333zN69Gir9rdu3WLq1Kl89tlnnDx5koIFCxIQEEBMTAw7duzgyy+/ZMGCBVy5cuWhsbVt25YFCxZw9OjRf/WMKSkphIaGAlCtWjVLfUBAAIcPH2bjxo2W1TctW7YkOTkZgDt37lC9enU2b97MiRMnGDhwID179uTgwYNW44eGhmJra0t4eDiLFi0iJiaGDh060KZNGyIiIujfvz9vv/32A2P87rvviIuLS/N5/p3JZAIgNTWVYsWKsWbNGk6dOsW4ceN45513WL16tVX777//nl9//ZUffviBWbNmMX78eFq3bk3evHk5cOAAgwcPZtCgQfz3v/8FIDk5GX9/f5ydndm9ezfh4eE4OTnRvHlzkpKS0o0pMTGRhIQEqyIiIiIiIiKSIxk5yIEDBwzAWLduXab7rlmzxsifP7/lOjg42ACMiIgIS110dLQBGAcPHrTURUVFGYAxe/bs+44dFhZmODg4GNOnTzcKFy5s/PDDD5Z7X375peHk5HTfvvficHR0NBwdHQ0bGxvDbDYbwcHBljZnzpwxACM8PNxS98cffxj29vbG6tWr7zt2q1atjDfeeMNy3aBBA6Nq1apWbQIDAw0/Pz+rurfeessAjKtXr6Y77gcffGAAxp9//mmpO3jwoOUZHB0dja+//vq+cQ0bNszo2LGj5bp3795GiRIljJSUFEudj4+PUa9ePcv13bt3DUdHR2PlypWGYRjGsmXLDB8fHyM1NdXSJjEx0bC3tze2bt2a7rzjx483gDSl8iuLjGqjQjNURERERERERB5VfHy8ARjx8fEPbZujzpAxMnFQ7Pbt2wkKCuL06dMkJCRw9+5d7ty5w61bt3BwcADA1taWSpUqWfpERUWRO3duqlevbqkrV67cQ89Cefvttxk2bBijRo2ifPnytGnThmXLltGmTRuOHz/OCy+88MD+zs7OlpU1t27dYvv27QwePJj8+fPTpk0bS1y1atWy9MmfPz8+Pj5ERUUBf62sef/991m9ejW//PILSUlJJCYmWp71nr8/271n/vu4ALVr135gvOmpVKkSERERAJQpU4a7d+9a7n300UcsWbKES5cucfv2bZKSkqhSpYpV//Lly1ud31OoUCEqVKhguc6VKxf58+e3rFaKjIzk3LlzODs7W41z584dzp8/n26MgYGBjBw50nKdkJCAp6dnpp9VRERERERE5EnLUQmZMmXKYDKZHnpw78WLF2ndujVDhgxhypQp5MuXjz179tCvXz+SkpIsSQp7e3vL1pp/49ixY7z++usAtGjRgsWLF9OpUyfmz59PSEgI06ZNe2B/GxsbvL29LdeVKlXiu+++Y+rUqbRp0yZDMUyfPp25c+cyZ84cy9k5I0aMSLN9J72tXplVpkwZAKKjo3n++ecBMJvNVs9wz6pVqxg1ahQzZ86kdu3aODs7M336dA4cOGDVLk+ePFbXJpMp3brU1FQAbty4QfXq1dM948fd3T3duM1mM2azOYNPKSIiIiIiIpJ9ctQZMvny5cPf35+PPvqImzdvprl/7do1AI4cOUJqaiozZ87k+eefp2zZsvz6668PHb9cuXLcvXuXI0eOWOqio6Mt495P0aJF+eGHHyzXHTt25OOPP2bgwIG4ubnRqVOnjD3g3+TKlYvbt28D4Ovry927d62SGHFxcURHR+Pn5wdAeHg4bdu2pUePHlSuXJlSpUpx5syZh87j6+ub5pyZvx+OnJ4XX3yRfPnyMXXq1IeOHx4eTp06dRg6dChVq1bF29v7vitYMqNatWqcPXuWggUL4u3tbVXuHSgsIiIiIiIi8rTKUQkZ+Gv7S0pKCjVr1mTt2rWcPXuWqKgo5s2bZ9lq4+3tTXJyMh9++CEXLlxg2bJlLFq06KFj+/j40Lx5cwYNGsSBAwc4cuQI/fv3x97e/oH9Ro8ezSeffMLEiRM5ffo0Bw4cYN++fTg4OHD69GnCw8Mf2N8wDC5fvszly5f56aef+OSTT9i6dStt27YF/lqR0rZtWwYMGMCePXuIjIykR48eFC1a1KrNtm3b2Lt3L1FRUQwaNIjffvvtoc88ePBgzp49y5tvvkl0dDQrVqwgJCTkgX2cnJz47LPP2Lx5M61atWLr1q1cuHCBY8eOWVYD5cqVyxLX4cOH2bp1K2fOnGHs2LEcOnTooXE9TPfu3SlQoABt27Zl9+7d/PTTT+zcuZNXX33VcvCviIiIiIiIyNMqxyVkSpUqxdGjR2nUqBFvvPEGFSpUoFmzZoSFhbFw4UIAKleuzKxZs5g6dSoVKlRg+fLlBAUFZWj84OBgihQpQoMGDejQoQMDBw586OurBw0axBdffMHXX39N9erVeemll0hKSuL06dP07NmTdu3aWb2i+p8SEhIoXLgwhQsXxtfXl5kzZzJp0iTeffddq7iqV69O69atqV27NoZhsGXLFsu2njFjxlCtWjX8/f1p2LAhHh4etGvX7qHPW7x4cdauXcuGDRuoXLkyixYt4v33339ov/bt27N3714cHBzo1asXPj4+NG7cmO+//55Vq1bRunVry2fToUMHunTpQq1atYiLi2Po0KEPHf9hHBwc+OGHHyhevDgdOnSwvHL7zp07uLi4/OvxRURERERERLKTycjMSboiT5GEhARcXV2Jj49XEkdERERERESeuMz8Ds1xK2RERERERERERJ51SsiIiIiIiIiIiGSxHPXaa5Enof6YleQyP/jg5iPTe2VRNCIiIiIiIiJaISM5xMWLFzGZTERERGR3KCIiIiIiIiJPnBIyYiUgIACTyYTJZMLW1hZvb28mTZrE3bt3szs0ERERERERkWeGtixJGs2bNyc4OJjExES2bNnCsGHDyJMnD4GBgdkdmoiIiIiIiMgzQStkJA2z2YyHhwclSpRgyJAhNG3alI0bN9KwYUNGjBhh1bZdu3YEBAQAsHPnTsvqmr+Xe/e9vLzSvX8/J06coEWLFjg5OVGoUCF69uzJH3/88YSeWkRERERERCTrKCEjD2Vvb09SUtJD29WpU4fY2FhL+f7777Gzs6N+/foAHDp0yHLvv//9L88//zz16tVLd6xr167RuHFjqlatyuHDh/n222/57bff6Ny5833nT0xMJCEhwaqIiIiIiIiI5ETasiT3ZRgGYWFhbN26lVdeeYVDhw49sL2trS0eHh4AxMXF0b9/f/r27Uvfvn0BcHd3t7R97bXXiI2Nve+Y8+fPp2rVqrz//vuWuiVLluDp6cmZM2coW7Zsmj5BQUFMnDgx088pIiIiIiIiktW0QkbS2LRpE05OTtjZ2dGiRQu6dOnChAkTMtw/OTmZjh07UqJECebOnZvm/ieffMLixYvZuHGjVZLm7yIjI9mxYwdOTk6WUq5cOQDOnz+fbp/AwEDi4+MtJSYmJsMxi4iIiIiIiGQlrZCRNBo1asTChQuxtbWlSJEi5M7919fExsYGwzCs2iYnJ6fpP2TIEGJiYjh48KCl7z07duzglVdeYeXKlVSqVOm+Mdy4cYM2bdowderUNPcKFy6cbh+z2YzZbH7o84mIiIiIiIhkNyVkJA1HR0e8vb3T1Lu7uxMbG2u5TklJ4cSJEzRq1MhSN2vWLFavXs3evXvJnz+/Vf9z587xn//8h3feeYcOHTo8MIZq1aqxdu1avLy80iR1RERERERERJ522rIkGda4cWM2b97M5s2bOX36NEOGDOHatWuW+9u3b2f06NFMnz6dAgUKcPnyZS5fvkx8fDy3b9+mTZs2VK1alYEDB1ruXb58Od25hg0bxp9//knXrl05dOgQ58+fZ+vWrfTp04eUlJQsemIRERERERGRJ0MJGcmwvn370rt3b3r16kWDBg0oVaqU1eqYPXv2kJKSwuDBgylcuLClvPbaa/z222+cPn2asLAwihQpYnU/PUWKFCE8PJyUlBRefPFFKlasyIgRI3Bzc8PGRl9bERERERERebqZjH8eCiLyjEhISMDV1ZX4+HhcXFyyOxwRERERERF5xmXmd6iWGoiIiIiIiIiIZDElZEREREREREREspheXyPPvPpjVpLLbJ+m/sj0XtkQjYiIiIiIiIhWyIiIiIiIiIiIZDklZCTDfv/9d4YMGULx4sUxm814eHjg7+9PeHj4E5/by8uLOXPmPPF5RERERERERLKCtixJhnXs2JGkpCRCQ0MpVaoUv/32G2FhYcTFxT2xOZOSkrC1tX1i44uIiIiIiIhkB62QkQy5du0au3fvZurUqTRq1IgSJUpQs2ZNAgMDeemllwAwmUwsXLiQFi1aYG9vT6lSpfjyyy+txjl+/DiNGzfG3t6e/PnzM3DgQG7cuGG5HxAQQLt27ZgyZQpFihTBx8eHhg0b8vPPP/P6669jMpkwmUxZ+uwiIiIiIiIij5sSMpIhTk5OODk5sWHDBhITE+/bbuzYsXTs2JHIyEi6d+/Oyy+/TFRUFAA3b97E39+fvHnzcujQIdasWcP27dsZPny41RhhYWFER0ezbds2Nm3axLp16yhWrBiTJk0iNjaW2NjYdOdOTEwkISHBqoiIiIiIiIjkRErISIbkzp2bkJAQQkNDcXNzo27durzzzjscO3bMql2nTp3o378/ZcuWZfLkydSoUYMPP/wQgBUrVnDnzh2WLl1KhQoVaNy4MfPnz2fZsmX89ttvljEcHR357LPPKF++POXLlydfvnzkypULZ2dnPDw88PDwSDfGoKAgXF1dLcXT0/PJfSAiIiIiIiIi/4ISMpJhHTt25Ndff2Xjxo00b96cnTt3Uq1aNUJCQixtateubdWndu3alhUyUVFRVK5cGUdHR8v9unXrkpqaSnR0tKWuYsWKj3RuTGBgIPHx8ZYSExOT6TFEREREREREsoISMpIpdnZ2NGvWjLFjx7J3714CAgIYP378Y53j7wmbzDCbzbi4uFgVERERERERkZxICRn5V/z8/Lh586blev/+/Vb39+/fj6+vLwC+vr5ERkZatQ8PD8fGxgYfH58HzmNra0tKSspjjFxEREREREQk+yghIxkSFxdH48aN+fzzzzl27Bg//fQTa9asYdq0abRt29bSbs2aNSxZsoQzZ84wfvx4Dh48aDm0t3v37tjZ2dG7d29OnDjBjh07eOWVV+jZsyeFChV64PxeXl788MMP/PLLL/zxxx9P9FlFREREREREnrTc2R2APB2cnJyoVasWs2fP5vz58yQnJ+Pp6cmAAQN45513LO0mTpzIqlWrGDp0KIULF2blypX4+fkB4ODgwNatW3nttdd47rnncHBwoGPHjsyaNeuh80+aNIlBgwZRunRpEhMTMQzjiT2riIiIiIiIyJNmMvTLVh4Tk8nE+vXradeuXXaHAkBCQgKurq7Ex8frPBkRERERERF54jLzO1RblkREREREREREspgSMiIiIiIiIiIiWUxnyMhjk1N3v9Ufs5JcZvs09Uem98qGaERERERERES0QiZdO3fuxGQyce3atUcew8vLizlz5jy2mERERERERETk2fFUJWTuJUruFXd3d1q2bMnx48ezLYb0ys6dOzl06BADBw7MsrjuuXXrFoGBgZQuXRo7Ozvc3d1p0KABX331laXN404WmUwmNmzY8NjGExEREREREXnWPZVblqKjo3FxceHXX3/lzTffpFWrVpw7dw5bW9snPnedOnWIjY21XL/22mskJCQQHBxsqcuXL1+WxJKewYMHc+DAAT788EP8/PyIi4tj7969xMXFZWqclJQUTCYTNjZPVc5ORERERERE5KnwVP7aLliwIB4eHlSrVo0RI0YQExPD6dOnLff37NlDvXr1sLe3x9PTk1dffZWbN29a7i9btowaNWrg7OyMh4cH3bp148qVKxma29bWFg8PD0uxt7fHbDZb1dna2qZZhWIymfj4449p3bo1Dg4O+Pr6sm/fPs6dO0fDhg1xdHSkTp06nD9/3mq+r776imrVqmFnZ0epUqWYOHEid+/evW98Gzdu5J133qFly5Z4eXlRvXp1XnnlFfr27QtAw4YN+fnnn3n99dctK3oAQkJCcHNzY+PGjfj5+WE2m7l06RKHDh2iWbNmFChQAFdXVxo0aMDRo0ct83l5eQHQvn17TCaT5TojsZ8+fZoXXngBOzs7/Pz82L59u9Vqm8aNGzN8+HCr5/v999+xtbUlLCwsQ/9eIiIiIiIiIjnRU5mQuSc+Pp5Vq1YBWFaknD9/nubNm9OxY0eOHTvGF198wZ49e6x+2CcnJzN58mQiIyPZsGEDFy9eJCAg4InHO3nyZHr16kVERATlypWjW7duDBo0iMDAQA4fPoxhGFZx7t69m169evHaa69x6tQpPv74Y0JCQpgyZcp95/Dw8GDLli1cv3493fvr1q2jWLFiTJo0idjYWKvVPrdu3WLq1Kl89tlnnDx5koIFC3L9+nV69+7Nnj172L9/P2XKlKFly5aW8Q8dOgRAcHAwsbGxluuHxZ6SkkK7du1wcHDgwIEDfPLJJ7z77rtWsfbv358VK1aQmJhoqfv8888pWrQojRs3TvNsiYmJJCQkWBURERERERGRHMl4iuzYscMADEdHR8PR0dEADMB46aWXLG369etnDBw40Krf7t27DRsbG+P27dvpjnvo0CEDMK5fv241z9WrVx8aU+/evY22bdumqS9RooQxe/ZsyzVgjBkzxnK9b98+AzAWL15sqVu5cqVhZ2dnuW7SpInx/vvvW427bNkyo3DhwveNZ9euXUaxYsWMPHnyGDVq1DBGjBhh7Nmz54GxGYZhBAcHG4ARERHxoMc1UlJSDGdnZ+Prr7+2erb169dbtXtY7N98842RO3duIzY21nJ/27ZtVmPdvn3byJs3r/HFF19Y2lSqVMmYMGFCurGNHz/e8p34e6n8yiKj2qjQNEVERERERETkcYqPjzcAIz4+/qFtn8oVMrt37+bIkSOEhIRQtmxZFi1aZLkXGRlJSEgITk5OluLv709qaio//fQTAEeOHKFNmzYUL14cZ2dnGjRoAMClS5eeaNyVKlWy/F2oUCEAKlasaFV3584dy8qOyMhIJk2aZPUsAwYMIDY2llu3bqU7R/369blw4QJhYWH85z//4eTJk9SrV4/Jkyc/ND5bW1urGAF+++03BgwYQJkyZXB1dcXFxYUbN2489LN6WOzR0dF4enri4eFh6VOzZk2rMezs7OjZsydLliwB4OjRo5w4ceK+q5kCAwOJj4+3lJiYmIc+s4iIiIiIiEh2eCoP9S1ZsiRubm74+Phw5coVunTpwg8//ADAjRs3GDRoEK+++mqafsWLF+fmzZv4+/vj7+/P8uXLcXd359KlS/j7+5OUlPRE486TJ4/l73tnt6RXl5qaCvz1LBMnTqRDhw5pxrKzs3vgPPXq1aNevXq89dZbvPfee0yaNIm33nrrgYcN29vbW2K4p3fv3sTFxTF37lxKlCiB2Wymdu3aD/2sHjX2f+rfvz9VqlThv//9L8HBwTRu3JgSJUqk29ZsNmM2mzM8toiIiIiIiEh2eSoTMn83bNgwgoKCWL9+Pe3bt6datWqcOnUKb2/vdNsfP36cuLg4PvjgAzw9PQE4fPhwVoacYdWqVSM6Ovq+z5JRfn5+3L17lzt37mBra4utrS0pKSkZ6hseHs6CBQto2bIlADExMfzxxx9WbfLkyZNmvIfF7uPjQ0xMDL/99ptltdC982f+rmLFitSoUYNPP/2UFStWMH/+/AzFLSIiIiIiIpKTPZVblv7OwcGBAQMGMH78eAzD4K233mLv3r0MHz6ciIgIzp49y1dffWU5LLd48eLY2try4YcfcuHCBTZu3Jih7TzZYdy4cSxdupSJEydy8uRJoqKiWLVqFWPGjLlvn4YNG/Lxxx9z5MgRLl68yJYtW3jnnXdo1KgRLi4uwF9vRvrhhx/45Zdf0iRX/qlMmTIsW7aMqKgoDhw4QPfu3bG3t7dq4+XlRVhYGJcvX+bq1asZir1Zs2aULl2a3r17c+zYMcLDwy33/rlKp3///nzwwQcYhkH79u0z9yGKiIiIiIiI5EBPfUIGYPjw4URFRbFmzRoqVarErl27OHPmDPXq1aNq1aqMGzeOIkWKAODu7k5ISAhr1qzBz8+PDz74gBkzZmTzE6TP39+fTZs28d133/Hcc8/x/PPPM3v27Ptu2bnXJzQ0lBdffBFfX19eeeUV/P39Wb16taXNpEmTuHjxIqVLl8bd3f2BMSxevJirV69SrVo1evbsyauvvkrBggWt2sycOZNt27bh6elJ1apVMxR7rly52LBhAzdu3OC5556jf//+lrcs/XNLU9euXcmdOzddu3bN1HYnERERERERkZzKZBiGkd1BiMBf26NeeOEFzp07R+nSpS3195JHhw4dolq1ahkeLyEhAVdXV+Lj4y2rg0RERERERESelMz8Dn3qz5CRp9f69etxcnKiTJkynDt3jtdee426detakjHJycnExcUxZswYnn/++UwlY0RERERERERyMiVkJNtcv36dt956i0uXLlGgQAGaNm3KzJkzLffDw8Np1KgRZcuW5csvv8zGSEVEREREREQeL21ZkmfWvaVilV9ZRC6zfZr7R6b3yoaoRERERERE5FmVmS1Lz8ShvvLs8PLyYs6cOdkdhoiIiIiIiMgTpYSMPFRAQAAmk4nBgwenuTds2DBMJhMBAQGPZa5Dhw4xcODAxzKWiIiIiIiISE6lhIxkiKenJ6tWreL27duWujt37rBixQqKFy/+2OZxd3fHwcHhsY0nIiIiIiIikhMpISMZUq1aNTw9PVm3bp2lbt26dRQvXpyqVata6tLbclSlShUmTJgAgGEYTJgwgeLFi2M2mylSpAivvvrqfftfu3aNQYMGUahQIezs7KhQoQKbNm16Is8oIiIiIiIiklX0liXJsL59+xIcHEz37t0BWLJkCX369GHnzp0ZHmPt2rXMnj2bVatWUb58eS5fvkxkZGS6bVNTU2nRogXXr1/n888/p3Tp0pw6dYpcuXKl2z4xMZHExETLdUJCQsYfTkRERERERCQLKSEjGdajRw8CAwP5+eefgb9eS71q1apMJWQuXbqEh4cHTZs2JU+ePBQvXpyaNWum23b79u0cPHiQqKgoypYtC0CpUqXuO3ZQUBATJ07M+AOJiIiIiIiIZBNtWZIMc3d3p1WrVoSEhBAcHEyrVq0oUKBApsbo1KkTt2/fplSpUgwYMID169dz9+7ddNtGRERQrFgxSzLmYQIDA4mPj7eUmJiYTMUmIiIiIiIiklWUkJFM6du3LyEhIYSGhtK3b980921sbDAMw6ouOTnZ8renpyfR0dEsWLAAe3t7hg4dSv369a3a3GNvb5+p2MxmMy4uLlZFREREREREJCdSQkYypXnz5iQlJZGcnIy/v3+a++7u7sTGxlquExIS+Omnn6za2Nvb06ZNG+bNm8fOnTvZt28fx48fTzNWpUqV+O9//8uZM2ce/4OIiIiIiIiIZCOdISOZkitXLqKioix//1Pjxo0JCQmhTZs2uLm5MW7cOKt2ISEhpKSkUKtWLRwcHPj888+xt7enRIkSacZq0KAB9evXp2PHjsyaNQtvb29Onz6NyWSiefPmT+4hRURERERERJ4wrZCRTHvQdqDAwEAaNGhA69atadWqFe3ataN06dKW+25ubnz66afUrVuXSpUqsX37dr7++mvy58+f7nhr167lueeeo2vXrvj5+TF69GhSUlKeyHOJiIiIiIiIZBWT8c8DP0SeEQkJCbi6uhIfH6/zZEREREREROSJy8zvUK2QERERERERERHJYkrIiIiIiIiIiIhkMR3qK8+8+mNWksv81yu0j0zvlc3RiIiIiIiIiGiFjIiIiIiIiIhIllNC5n9Iw4YNGTFiRJbNFxAQQLt27TLcfsKECVSpUuWJxSMiIiIiIiKSUyghk8OlpKQwe/ZsKlasiJ2dHXnz5qVFixaEh4dneqx169YxefLkTPUJDQ2lWLFimEymB5aQkJA0fefOnZtu/f2MGjWKsLCwTMUnIiIiIiIi8jRSQiYHMwyDl19+mUmTJvHaa68RFRXFzp078fT0pGHDhmzYsCFT4+XLlw9nZ+dM9fnqq6945ZVXiI2NtZQ33niD8uXLW9V16dLF0iclJYXU1FRcXV1xc3PL8FxOTk7kz58/U/GJiIiIiIiIPI2UkMnBVq9ezZdffsnSpUvp378/JUuWpHLlynzyySe89NJL9O/fn5s3bwLpbw8aMWIEDRs2tFz/fcvSzp07013pEhAQYGl/584dvvvuO9q2bYuHh4elODk5kTt3bsv1t99+S+HChdm4cSN+fn6YzWYuXbpkFdMnn3xCkSJFSE1NtYqxbdu29O3bF0i7ZenQoUM0a9aMAgUK4OrqSoMGDTh69Oh9P6/ExEQSEhKsioiIiIiIiEhOpIRMDrZixQrKli1LmzZt0tx74403iIuLY9u2bY80dp06daxWuHz//ffY2dlRv359S5uwsDCKFi1KuXLlHjrerVu3mDp1Kp999hknT56kYMGCVvc7depEXFwcO3bssNT9+eeffPvtt3Tv3j3dMa9fv07v3r3Zs2cP+/fvp0yZMrRs2ZLr16+n2z4oKAhXV1dL8fT0zMhHISIiIiIiIpLl9NrrHOzMmTP4+vqme+9e/ZkzZx5pbFtbWzw8PACIi4ujf//+9O3b17JaBf7arvTSSy9laLzk5GQWLFhA5cqV071/7+ybFStW0KRJEwC+/PJLChQoQKNGjdLt07hxY6vrTz75BDc3N3bt2kXr1q3TtA8MDGTkyJGW64SEBCVlREREREREJEfSCpkczjCMB963tbX9V+MnJyfTsWNHSpQowdy5c63m/frrrzOckLG1taVSpUoPbNO9e3fWrl1LYmIiAMuXL+fll1/Gxib9r+Fvv/3GgAEDKFOmDK6urri4uHDjxg0uXbqUbnuz2YyLi4tVEREREREREcmJtEImBytTpgxRUVHp3rtXX7ZsWQBsbGzSJG+Sk5MfOseQIUOIiYnh4MGD5M79/1+HgwcPcvfuXerUqZOhWO3t7TGZTA9s06ZNGwzDYPPmzTz33HPs3r2b2bNn37d97969iYuLY+7cuZQoUQKz2Uzt2rVJSkrKUEwiIiIiIiIiOZVWyORgXbt25ezZs3z99ddp7s2cOZMiRYrQrFkzANzd3YmNjbVqExER8cDxZ82axerVq/nqq6/SvN3oq6++olWrVuTKlevfPcTf2NnZ0aFDB5YvX87KlSvx8fGhWrVq920fHh7Oq6++SsuWLSlfvjxms5k//vjjscUjIiIiIiIikl2UkMnBXn75Zdq1a0fv3r1ZvHgxFy9e5NixYwwaNIhNmzbx+eefkydPHuCv81YOHz7M0qVLOXv2LOPHj+fEiRP3HXv79u2MHj2a6dOnU6BAAS5fvszly5eJj48HYOPGjRnerpQZ3bt3Z/PmzSxZsuS+h/neU6ZMGZYtW0ZUVBQHDhyge/fu2NvbP/aYRERERERERLKaEjI5mMlkYs2aNbzzzjvMnj0bHx8fKleuzJdffsmPP/5odRiuv78/Y8eOZfTo0Tz33HNcv36dXr163XfsPXv2kJKSwuDBgylcuLClvPbaa5w/f55z587h7+//2J+pcePG5MuXj+joaLp16/bAtosXL+bq1atUq1aNnj178uqrr6Z5e1NG/PBeV45M78WR6ff/PERERERERESyksl42KmxkqMcPXqUpk2b0q9fP6ZPn/5E5pg1axbbt29ny5YtT2T8rJKQkICrqyvx8fE64FdERERERESeuMz8DtUKmadMtWrVCAsLw9HRkfPnzz+ROYoVK0ZgYOATGVtEREREREREtEJGnmH3MpOVX1lELrO9tiyJiIiIiIjIE6UVMv9SQEAA7dq1e+T+O3fuxGQyce3atccWk4iIiIiIiIg8O56qhExAQAAmkwmTyUSePHkoWbIko0eP5s6dO9kSQ3rFy8uLOnXqEBsbi6ura5bFdU9kZCQvvfQSBQsWxM7ODi8vL7p06cKVK1eAx58sCgkJwc3N7bGMJSIiIiIiIvK/4qlKyAA0b96c2NhYLly4wOzZs/n4448ZP358ls0/d+5cYmNjLQUgODjYcn3o0CFsbW3x8PDAZDJlWVwAv//+O02aNCFfvnxs3bqVqKgogoODKVKkCDdv3szUWElJSU8oShERERERERF56hIyZrMZDw8PPD09adeuHU2bNmXbtm2W+6mpqQQFBVGyZEns7e0tr4m+JyUlhX79+lnu+/j4MHfu3AzP7+rqioeHh6UAuLm5Wa7d3d3TrEK5t4pk06ZN+Pj44ODgwH/+8x9u3bpFaGgoXl5e5M2bl1dffZWUlBTLXImJiYwaNYqiRYvi6OhIrVq12Llz531jCw8PJz4+ns8++4yqVatSsmRJGjVqxOzZsylZsiQXL160vCo7b968mEwmAgICAGjYsCHDhw9nxIgRFChQwPLK61mzZlGxYkUcHR3x9PRk6NCh3LhxA/hrtU2fPn2Ij4+3rBCaMGFChmP/9NNP8fT0xMHBgfbt2zNr1izLapuLFy9iY2PD4cOHrfrMmTOHEiVKkJqamuF/MxEREREREZGcJnd2B/BvnDhxgr1791KiRAlLXVBQEJ9//jmLFi2iTJky/PDDD/To0QN3d3caNGhAamoqxYoVY82aNeTPn5+9e/cycOBAChcuTOfOnZ9YrLdu3WLevHmsWrWK69ev06FDB9q3b4+bmxtbtmzhwoULdOzYkbp169KlSxcAhg8fzqlTp1i1ahVFihRh/fr1NG/enOPHj1OmTJk0c3h4eHD37l3Wr1/Pf/7znzQrdDw9PVm7di0dO3YkOjoaFxcX7O3tLfdDQ0MZMmQI4eHhljobGxvmzZtHyZIluXDhAkOHDmX06NEsWLCAOnXqMGfOHMaNG0d0dDQATk5OGYo9PDycwYMHM3XqVF566SW2b9/O2LFjLfN6eXnRtGlTgoODqVGjhqU+ODiYgIAAbGzS5hITExNJTEy0XCckJGTq30hEREREREQkyxhPkd69exu5cuUyHB0dDbPZbACGjY2N8eWXXxqGYRh37twxHBwcjL1791r169evn9G1a9f7jjts2DCjY8eOVvO0bds2QzEBxvr1663qduzYYQDG1atXDcMwjODgYAMwzp07Z2kzaNAgw8HBwbh+/bqlzt/f3xg0aJBhGIbx888/G7ly5TJ++eUXq7GbNGliBAYG3jeed955x8idO7eRL18+o3nz5sa0adOMy5cv3ze2exo0aGBUrVr1oc+7Zs0aI3/+/Jbr4OBgw9XV1apNRmLv0qWL0apVK6v73bt3txrriy++MPLmzWvcuXPHMAzDOHLkiGEymYyffvop3djGjx9vAGlK5VcWGdVGhT702URERERERET+jfj4eAMw4uPjH9r2qduy1KhRIyIiIjhw4AC9e/emT58+dOzYEYBz585x69YtmjVrhpOTk6UsXbqU8+fPW8b46KOPqF69Ou7u7jg5OfHJJ59w6dKlJxq3g4MDpUuXtlwXKlQILy8vy4qSe3X3Dt89fvw4KSkplC1b1upZdu3aZfUs/zRlyhQuX77MokWLKF++PIsWLaJcuXIcP378oTFWr149Td327dtp0qQJRYsWxdnZmZ49exIXF8etW7fuO05GYo+OjqZmzZpW/f553a5dO3LlysX69euBv7Z+NWrUCC8vr3TnDQwMJD4+3lJiYmIe+swiIiIiIiIi2eGp27Lk6OiIt7c3AEuWLKFy5cosXryYfv36Wc422bx5M0WLFrXqZzabAVi1ahWjRo1i5syZ1K5dG2dnZ6ZPn86BAweeaNx58uSxur73pqh/1t07G+XGjRvkypWLI0eOkCtXLqt2f0/ipCd//vx06tSJTp068f7771O1alVmzJhBaGjoA/s5OjpaXV+8eJHWrVszZMgQpkyZQr58+dizZw/9+vUjKSkJBweHdMf5N7H/na2tLb169SI4OJgOHTqwYsWKB573YzabLf/OIiIiIiIiIjnZU5eQ+TsbGxveeecdRo4cSbdu3fDz88NsNnPp0iUaNGiQbp/w8HDq1KnD0KFDLXUPWnGSXapWrUpKSgpXrlyhXr16jzyOra0tpUuXtrxlydbWFsDq8OD7OXLkCKmpqcycOdNyZsvq1avTjP/PsTISu4+PD4cOHbKq++c1QP/+/alQoQILFizg7t27dOjQ4aFxi4iIiIiIiOR0T92WpX/q1KkTuXLl4qOPPsLZ2ZlRo0bx+uuvExoayvnz5zl69CgffvihZXVImTJlOHz4MFu3buXMmTOMHTs23URAditbtizdu3enV69erFu3jp9++omDBw8SFBTE5s2b0+2zadMmevTowaZNmzhz5gzR0dHMmDGDLVu20LZtWwBKlCiByWRi06ZN/P7775ZVRenx9vYmOTmZDz/8kAsXLrBs2TIWLVpk1cbLy4sbN24QFhbGH3/8wa1btzIU+yuvvMKWLVuYNWsWZ8+e5eOPP+abb75JcxCxr68vzz//PG+99RZdu3a1OoRYRERERERE5Gn11CdkcufOzfDhw5k2bRo3b95k8uTJjB07lqCgIHx9fWnevDmbN2+mZMmSAAwaNIgOHTrQpUsXatWqRVxcnNVqmZwkODiYXr168cYbb+Dj40O7du04dOgQxYsXT7e9n58fDg4OvPHGG1SpUoXnn3+e1atX89lnn9GzZ08AihYtysSJE3n77bcpVKgQw4cPv+/8lStXZtasWUydOpUKFSqwfPlygoKCrNrUqVOHwYMH06VLF9zd3Zk2bVqGYq9bty6LFi1i1qxZVK5cmW+//ZbXX38dOzu7NHHc2yLVt2/fR/ocRURERERERHIak2EYRnYHIQIwYMAATp8+ze7du63qJ0+ezJo1azh27FimxktISMDV1ZX4+HhcXFweZ6giIiIiIiIiaWTmd+hTfYaMPN1mzJhBs2bNcHR05JtvviE0NJQFCxZY7t+4cYOLFy8yf/583nvvvWyMVEREREREROTxeuq3LMnT6+DBgzRr1oyKFSuyaNEi5s2bR//+/S33hw8fTvXq1WnYsKG2K4mIiIiIiMgzRVuW5Jl1b6lY5VcWkctsz5HpvbI7JBEREREREXmGZWbLklbIPEEhISG4ublldxiZZjKZ2LBhw78eZ8KECVSpUsVyHRAQQLt27TLU9+LFi5hMJiIiIv51HCIiIiIiIiI5jRIyDxEQEIDJZMJkMmFra4u3tzeTJk3i7t27D+3bpUsXzpw5k6n5GjZsyIgRIx4x2qy1du1aGjZsiKurK05OTlSqVIlJkybx559/ptt+7ty5hISEZG2QIiIiIiIiIjmQEjIZ0Lx5c2JjYzl79ixvvPEGEyZMYPr06Q/tZ29vT8GCBbMgwqz37rvv0qVLF5577jm++eYbTpw4wcyZM4mMjGTZsmXp9nF1dX0qVwyJiIiIiIiIPG5KyGSA2WzGw8ODEiVKMGTIEJo2bcrGjRu5evUqvXr1Im/evDg4ONCiRQvOnj1r6ffPLUv3tvAsW7YMLy8vXF1defnll7l+/Trw12qcXbt2MXfuXMuqnIsXL6YbU1xcHF27dqVo0aI4ODhQsWJFVq5cadWmYcOGvPrqq4wePZp8+fLh4eHBhAkTrNqcPXuW+vXrY2dnh5+fH9u2bXvo53Hw4EHef/99Zs6cyfTp06lTpw5eXl40a9aMtWvX0rt373T7/XPLUmpqKtOmTcPb2xuz2Uzx4sWZMmVKun1TUlLo27cv5cqV49KlSw+NUURERERERCQnU0LmEdjb25OUlERAQACHDx9m48aN7Nu3D8MwaNmyJcnJyffte/78eTZs2MCmTZvYtGkTu3bt4oMPPgD+2tJTu3ZtBgwYQGxsLLGxsXh6eqY7zp07d6hevTqbN2/mxIkTDBw4kJ49e3Lw4EGrdqGhoTg6OnLgwAGmTZvGpEmTLEmX1NRUOnTogK2tLQcOHGDRokW89dZbD33+5cuX4+TkxNChQ9O9n9FVMIGBgXzwwQeMHTuWU6dOsWLFCgoVKpSmXWJiIp06dSIiIoLdu3dTvHjxdMdLTEwkISHBqoiIiIiIiIjkRLmzO4CniWEYhIWFsXXrVlq0aMGGDRsIDw+nTp06wF+JCk9PTzZs2ECnTp3SHSM1NZWQkBCcnZ0B6NmzJ2FhYUyZMgVXV1dsbW1xcHDAw8PjgbEULVqUUaNGWa5feeUVtm7dyurVq6lZs6alvlKlSowfPx6AMmXKMH/+fMLCwmjWrBnbt2/n9OnTbN26lSJFigDw/vvv06JFiwfOffbsWUqVKkWePHke8ond3/Xr15k7dy7z58+3rKgpXbo0L7zwglW7Gzdu0KpVKxITE9mxYweurq73HTMoKIiJEyc+ckwiIiIiIiIiWUUrZDJg06ZNODk5YWdnR4sWLejSpQsBAQHkzp2bWrVqWdrlz58fHx8foqKi7juWl5eXJRkDULhwYa5cufLA+cuXL4+TkxNOTk6WZElKSgqTJ0+mYsWK5MuXDycnJ7Zu3ZpmO0+lSpWsrv8+X1RUFJ6enpZkDEDt2rWt2rdo0cIyd/ny5YG/ElP/VlRUFImJiTRp0uSB7bp27crNmzf57rvvHpiMgb9W3MTHx1tKTEzMv45TRERERERE5EnQCpkMaNSoEQsXLsTW1pYiRYqQO3duNm7c+Ehj/XNViclkIjU19YF9tmzZYtkGZW9vD8D06dOZO3cuc+bMoWLFijg6OjJixAiSkpL+9Xx/99lnn3H79m2rscqWLcuePXtITk5+5FUy957jYVq2bMnnn3/Ovn37aNy48QPbms1mzGbzI8UjIiIiIiIikpW0QiYDHB0d8fb2pnjx4uTO/VcOy9fXl7t373LgwAFLu7i4OKKjo/Hz83vkuWxtbUlJSbGqK1GiBN7e3nh7e1O0aFEAwsPDadu2LT169KBy5cqUKlUq06/Y9vX1JSYmhtjYWEvd/v37rdoULVrUMneJEiUA6NatGzdu3GDBggXpjnvt2rWHzl2mTBns7e0JCwt7YLshQ4bwwQcf8NJLL7Fr166HjisiIiIiIiLyNFBC5hGVKVOGtm3bMmDAAPbs2UNkZCQ9evSgaNGitG3b9pHH9fLy4sCBA1y8eJE//vjjvqtZypQpw7Zt29i7dy9RUVEMGjSI3377LVNzNW3alLJly9K7d28iIyPZvXs377777kP71apVi9GjR/PGG28wevRo9u3bx88//0xYWBidOnUiNDT0oWPY2dnx1ltvMXr0aJYuXcr58+fZv38/ixcvTtP2lVde4b333qN169bs2bMnU88oIiIiIiIikhMpIfMvBAcHU716dVq3bk3t2rUxDIMtW7b8q8NuR40aRa5cufDz88Pd3f2+r3geM2YM1apVw9/fn4YNG+Lh4WH1SumMsLGxYf369dy+fZuaNWvSv3//+752+p+mTp3KihUrOHDgAP7+/pQvX56RI0dSqVKl+772+p/Gjh3LG2+8wbhx4/D19aVLly73PU9nxIgRTJw4kZYtW7J3794MP6OIiIiIiIhITmQyHscJrSI5UEJCAq6ursTHx+Pi4pLd4YiIiIiIiMgzLjO/Q7VCRkREREREREQkiykhIyIiIiIiIiKSxZSQkWde/TErqf7m0uwOQ0RERERERMRCCRkRERERERERkSymhIykKyAgAJPJxODBg9PcGzZsGCaTiYCAAEtdTEwMffv2pUiRItja2lKiRAlee+014uLirPo2bNgQk8lkKYUKFaJTp078/PPP6cbh7+9Prly5OHTo0GN9PhEREREREZHspISM3JenpyerVq3i9u3blro7d+6wYsUKihcvbqm7cOECNWrU4OzZs6xcuZJz586xaNEiwsLCqF27Nn/++afVuAMGDCA2NpZff/2Vr776ipiYGHr06JFm/kuXLrF3716GDx/OkiVLntyDioiIiIiIiGQxJWTkvqpVq4anpyfr1q2z1K1bt47ixYtTtWpVS92wYcOwtbXlu+++o0GDBhQvXpwWLVqwfft2fvnlF959912rcR0cHPDw8KBw4cI8//zzDB8+nKNHj6aZPzg4mNatWzNkyBBWrlxplRgSEREREREReZopISMP1LdvX4KDgy3XS5YsoU+fPpbrP//8k61btzJ06FDs7e2t+np4eNC9e3e++OILDMNId/w///yT1atXU6tWLat6wzAIDg6mR48elCtXDm9vb7788ssHxpqYmEhCQoJVEREREREREcmJlJCRB+rRowd79uzh559/5ueffyY8PNxqe9HZs2cxDANfX990+/v6+nL16lV+//13S92CBQtwcnLC0dGR/PnzEx0dnWZL0vbt27l16xb+/v6WOBYvXvzAWIOCgnB1dbUUT0/PR31sERERERERkSdKCRl5IHd3d1q1akVISAjBwcG0atWKAgUKpGl3vxUw6enevTsRERFERkayZ88evL29efHFF7l+/bqlzZIlS+jSpQu5c+cGoGvXroSHh3P+/Pn7jhsYGEh8fLylxMTEZOJJRURERERERLKOEjLyUH379iUkJITQ0FD69u1rdc/b2xuTyURUVFS6faOiosibNy/u7u6WOldXV7y9vfH29qZu3bosXryYs2fP8sUXXwB/bWNav349CxYsIHfu3OTOnZuiRYty9+7dBx7uazabcXFxsSoiIiIiIiIiOZESMvJQzZs3JykpieTkZMsWonvy589Ps2bNWLBgQZpDdy9fvszy5cvp0qULJpPpvuPnypULwNJ/+fLlFCtWjMjISCIiIixl5syZhISEkJKS8pifUERERERERCRrKSEjD5UrVy6ioqI4deqUJXnyd/PnzycxMRF/f39++OEHYmJi+Pbbb2nWrBlFixZlypQpVu1v3brF5cuXuXz5MpGRkQwZMgQ7OztefPFFABYvXsx//vMfKlSoYFX69evHH3/8wbfffpslzy0iIiIiIiLypCghIxnyoC1AZcqU4fDhw5QqVYrOnTtTunRpBg4cSKNGjdi3bx/58uWzav/pp59SuHBhChcuTKNGjfjjjz/YsmULPj4+HDlyhMjISDp27JhmHldXV5o0afLQw31FREREREREcjqTkZnTWEWeIgkJCbi6uhIfH6/zZEREREREROSJy8zvUK2QERERERERERHJYkrIiIiIiIiIiIhkMSVk5JlXf8xKqr+5NLvDEBEREREREbFQQgaYMGECVapUye4wspSXlxdz5szJ7jBERERERERE/iflyISMYRh88skn1KpVCycnJ9zc3KhRowZz5szh1q1b2RJTamoqb731FkWKFMHe3p5KlSrx1VdfZaivyWSylNy5c1O8eHFGjhxJYmLiE47630lISGDs2LGUL18ee3t78ufPz3PPPce0adO4evVqdocnIiIiIiIi8tTKnd0BpKdnz56sW7eOMWPGMH/+fNzd3YmMjGTOnDl4eXnRrl27Rxo3OTmZPHnyPFLfzz//nNmzZ7N06VKef/55zp07l6n+wcHBNG/enOTkZCIjI+nTpw+Ojo5Mnjz5keLJiJSUFEwmEzY2mc+7/fnnn7zwwgskJCQwefJkqlevjqurK9HR0QQHB7NixQqGDRv2BKIWERERERERefbluBUyq1evZvny5axcuZJ33nmH5557Di8vL9q2bcv3339Po0aNADh06BDNmjWjQIECuLq60qBBA44ePWo1lslkYuHChbz00ks4OjoyZcoUAD744AMKFSqEs7Mz/fr1486dOw+Ny8bGBnd3d15++WW8vLxo2rQpTZs2zfBzubm54eHhgaenJ61bt6Zt27Zp4l24cCGlS5fG1tYWHx8fli1bZnV/1qxZVKxYEUdHRzw9PRk6dCg3btyw3A8JCcHNzY2NGzfi5+eH2Wzm0qVLXLlyhTZt2mBvb0/JkiVZvnz5Q+N95513uHTpEgcPHqRPnz5UqlSJEiVK8OKLL7Jy5UqGDh1qabts2TJq1KiBs7MzHh4edOvWjStXrlju79y5E5PJxNatW6latSr29vY0btyYK1eu8M033+Dr64uLiwvdunWzWgGVmppKUFAQJUuWxN7ensqVK/Pll19m+DMXERERERERyalyXEJm+fLl+Pj40LZt2zT3TCYTrq6uAFy/fp3evXuzZ88e9u/fT5kyZWjZsiXXr1+36jNhwgTat2/P8ePH6du3L6tXr2bChAm8//77HD58mMKFC7NgwYKHxtWkSRPi4+MZO3bsv37GM2fO8P3331OrVi1L3fr163nttdd44403OHHiBIMGDaJPnz7s2LHD0sbGxoZ58+Zx8uRJQkND+f777xk9erTV2Ldu3WLq1Kl89tlnnDx5koIFCxIQEEBMTAw7duzgyy+/ZMGCBVYJk39KTU3liy++oEePHhQpUiTdNiaTyfJ3cnIykydPJjIykg0bNnDx4kUCAgLS9JkwYQLz589n7969xMTE0LlzZ+bMmcOKFSvYvHkz3333HR9++KGlfVBQEEuXLmXRokWcPHmS119/nR49erBr1650Y0pMTCQhIcGqiIiIiIiIiORIRg7j6+trvPTSS5nul5KSYjg7Oxtff/21pQ4wRowYYdWudu3axtChQ63qatWqZVSuXPm+Y9+8edMoX768MWDAAKNWrVrGG2+8YaSmplruOzs7G2vWrLlvf8Cws7MzHB0dDbPZbABG69atjaSkJEubOnXqGAMGDLDq16lTJ6Nly5b3HXfNmjVG/vz5LdfBwcEGYERERFjqoqOjDcA4ePCgpS4qKsoAjNmzZ6c77uXLlw3AmDVrllV9tWrVDEdHR8PR0dF4+eWX7xvXoUOHDMC4fv26YRiGsWPHDgMwtm/fbmkTFBRkAMb58+ctdYMGDTL8/f0NwzCMO3fuGA4ODsbevXutxu7Xr5/RtWvXdOcdP368AaQplV9ZZFQbFXrfeEVEREREREQeh/j4eAMw4uPjH9o2x62QMQwjQ+1+++03BgwYQJkyZXB1dcXFxYUbN25w6dIlq3Y1atSwuo6KirJamQJQu3btB84VEhLCtWvX+Oijj/jmm2/Ytm0bffr04e7du1y8eJEbN25Qt27dB44xe/ZsIiIiiIyMZNOmTZw5c4aePXtaxfXPMerWrUtUVJTlevv27TRp0oSiRYvi7OxMz549iYuLs9rmY2trS6VKlazGzZ07N9WrV7fUlStXDjc3twfGm57169cTERGBv78/t2/fttQfOXKENm3aULx4cZydnWnQoAFAmn+Lv8dVqFAhHBwcKFWqlFXdvZU7586d49atWzRr1gwnJydLWbp0KefPn083vsDAQOLj4y0lJiYm088oIiIiIiIikhVy3KG+ZcuW5fTp0w9t17t3b+Li4pg7dy4lSpTAbDZTu3ZtkpKSrNo5Ojr+65iOHTtG+fLlyZMnD3nz5mXbtm3Uq1eP9u3bU6ZMGZo3b07hwoUfOIaHhwfe3t4A+Pj4cP36dbp27cp7771nqX+Qixcv0rp1a4YMGcKUKVPIly8fe/bsoV+/fiQlJeHg4ACAvb291XaiR+Hu7o6bmxvR0dFW9cWLFwfA2dmZa9euAXDz5k38/f3x9/dn+fLluLu7c+nSJfz9/dP8W/z9QGWTyZTmgGWTyURqaiqA5WyczZs3U7RoUat2ZrM53bjNZvN974mIiIiIiIjkJDluhUy3bt04c+ZMuq+UNgyD+Ph4AMLDw3n11Vdp2bIl5cuXx2w288cffzx0fF9fXw4cOGBVt3///gf2KVq0KBEREZbzaQoWLMj27ds5fvw4s2fP5r333svo41nkypULwLLSxNfXl/DwcKs24eHh+Pn5AX+tQklNTWXmzJk8//zzlC1bll9//fWh85QrV467d+9y5MgRS110dLQloZIeGxsbOnfuzOeff/7QOU6fPk1cXBwffPAB9erVo1y5cg88nyaj/n4osbe3t1Xx9PT81+OLiIiIiIiIZKccl5Dp3LkzXbp0oWvXrpaDd3/++Wc2bdpE06ZNLYfclilThmXLlhEVFcWBAwfo3r079vb2Dx3/tddeY8mSJQQHB3PmzBnGjx/PyZMnH9inX79+pKSk8NJLL7F3716io6PZunUrN27cwMHBgcWLFz903mvXrnH58mV+/fVXdu3axaRJkyhbtiy+vr4AvPnmm4SEhLBw4ULOnj3LrFmzWLduHaNGjQLA29ub5ORkPvzwQy5cuMCyZctYtGjRQ+f18fGhefPmDBo0iAMHDnDkyBH69+//0M/q/fffp2jRotSsWZMlS5Zw7Ngxzp8/z/r169m3b58loVS8eHFsbW0tcW3cuPGxvMrb2dmZUaNG8frrrxMaGsr58+c5evQoH374IaGhof96fBEREREREZFs9cRPtHkEKSkpxsKFC43nnnvOcHBwMFxcXIzq1asbc+fONW7dumUYhmEcPXrUqFGjhmFnZ2eUKVPGWLNmjVGiRAmrg2oBY/369WnGnzJlilGgQAHDycnJ6N27tzF69OgHHuprGIZx/vx54z//+Y9RqFAhw97e3qhXr56xefNmY8eOHUbu3LmNmTNn3rcvfztg1mQyGYULFza6dOlidaCtYRjGggULjFKlShl58uQxypYtayxdutTq/qxZs4zChQsb9vb2hr+/v7F06VIDMK5evWoYxl+H+rq6uqaZPzY21mjVqpVhNpuN4sWLG0uXLk3zWaXn2rVrRmBgoFGuXDnDbDYb9vb2RqVKlYyxY8cacXFxlnYrVqwwvLy8DLPZbNSuXdvYuHGjARg//vijYRj/f6jvvTjvF+v48eOt/h1SU1ONOXPmGD4+PkaePHkMd3d3w9/f39i1a9cD477n3mFKOtRXREREREREskJmDvU1GUYGT9EVecokJCTg6upKfHw8Li4u2R2OiIiIiIiIPOMy8zs0x21ZEhERERERERF51ikhIyIiIiIiIiKSxZSQkWde/TErszsEEREREREREStKyOQgEyZMoEqVKlk238WLFzGZTERERGTZnP/Gzp07MZlMD3xlt4iIiIiIiMjTQAmZLNCmTRuaN2+e7r3du3djMpk4duwYo0aNIiwsLIuje7CGDRtiMplYtWqVVf2cOXPw8vLKnqBEREREREREnnJKyGSBfv36sW3bNv773/+muRccHEyNGjWoVKkSTk5O5M+fPxsifDA7OzvGjBlDcnJydociIiIiIiIi8kxQQiYLtG7dGnd3d0JCQqzqb9y4wZo1a+jXrx+QdsvSzp07qVmzJo6Ojri5uVG3bl1+/vlnAAICAmjXrp3VeCNGjKBhw4aW62+//ZYXXngBNzc38ufPT+vWrTl//nym4+/atSvXrl3j008/fWC7hQsXUrp0aWxtbfHx8WHZsmWWe926daNLly5W7ZOTkylQoABLly4FIDU1laCgIEqWLIm9vT2VK1fmyy+/zHS8IiIiIiIiIjmdEjJZIHfu3PTq1YuQkBAMw7DUr1mzhpSUFLp27Zqmz927d2nXrh0NGjTg2LFj7Nu3j4EDB2IymTI8782bNxk5ciSHDx8mLCwMGxsb2rdvT2pqaqbid3Fx4d1332XSpEncvHkz3Tbr16/ntdde44033uDEiRMMGjSIPn36sGPHDgC6d+/O119/zY0bNyx9tm7dyq1bt2jfvj0AQUFBLF26lEWLFnHy5Elef/11evTowa5duzIUZ2JiIgkJCVZFREREREREJCdSQiaL9O3bl/Pnz1slF4KDg+nYsSOurq5p2ickJBAfH0/r1q0pXbo0vr6+9O7dm+LFi2d4zo4dO9KhQwe8vb2pUqUKS5Ys4fjx45w6dSrT8Q8dOhQ7OztmzZqV7v0ZM2YQEBDA0KFDKVu2LCNHjqRDhw7MmDEDAH9/fxwdHVm/fr2lz4oVK3jppZdwdnYmMTGR999/nyVLluDv70+pUqUICAigR48efPzxxxmKMSgoCFdXV0vx9PTM9HOKiIiIiIiIZAUlZLJIuXLlqFOnDkuWLAHg3Llz7N6927Jd6Z/y5ctHQEAA/v7+tGnThrlz5xIbG5upOc+ePUvXrl0pVaoULi4ulkN4L126lOn4zWYzkyZNYsaMGfzxxx9p7kdFRVG3bl2rurp16xIVFQX8tUqoc+fOLF++HPhr9c5XX31F9+7dgb8+j1u3btGsWTOcnJwsZenSpRneZhUYGEh8fLylxMTEZPo5RURERERERLKCEjJZqF+/fqxdu5br168THBxM6dKladCgwX3bBwcHs2/fPurUqcMXX3xB2bJl2b9/PwA2NjZW25+ANIfutmnThj///JNPP/2UAwcOcODAAQCSkpIeKf4ePXpQokQJ3nvvvUfq3717d8LCwrhy5QobNmzA3t7e8vape1uZNm/eTEREhKWcOnUqw+fImM1mXFxcrIqIiIiIiIhITqSETBbq3LkzNjY2rFixgqVLl9K3b9+HnglTtWpVAgMD2bt3LxUqVGDFihUAuLu7p1kxExERYfk7Li6O6OhoxowZQ5MmTfD19eXq1av/Kn4bGxuCgoJYuHAhFy9etLrn6+tLeHi4VV14eDh+fn6W6zp16uDp6ckXX3zB8uXL6dSpE3ny5AHAz88Ps9nMpUuX8Pb2tiraeiQiIiIiIiLPmtzZHcD/EicnJ7p06UJgYCAJCQkEBATct+1PP/3EJ598wksvvUSRIkWIjo7m7Nmz9OrVC4DGjRszffp0li5dSu3atfn88885ceIEVatWBSBv3rzkz5+fTz75hMKFC3Pp0iXefvvtf/0MrVq1olatWnz88ccUKlTIUv/mm2/SuXNnqlatStOmTfn6669Zt24d27dvt+rfrVs3Fi1axJkzZywH/gI4OzszatQoXn/9dVJTU3nhhReIj48nPDwcFxcXevfu/a9jFxEREREREckptEImi/Xr14+rV6/i7+9PkSJF7tvOwcGB06dP07FjR8qWLcvAgQMZNmwYgwYNAv46JHfs2LGMHj2a5557juvXr1uSNfDXapZVq1Zx5MgRKlSowOuvv8706dMfyzNMnTqVO3fuWNW1a9eOuXPnMmPGDMqXL8/HH39McHCw1Wu44a9tS6dOnaJo0aJpzpyZPHkyY8eOJSgoCF9fX5o3b87mzZspWbLkY4lbREREREREJKcwGf88iETkGZGQkICrqyvx8fE6T0ZERERERESeuMz8DtUKGRERERERERGRLKaEjIiIiIiIiIhIFlNCRp559ceszO4QRERERERERKwoISMiIiIiIiIiksWUkBERERERERERyWJKyIiIiIiIiIiIZDElZEREREREREREslju7A5A5HFJTEwkMTHRcp2QkJCN0YiIiIiIiIjcn1bIyDMjKCgIV1dXS/H09MzukERERERERETSpYSMPDMCAwOJj4+3lJiYmOwOSURERERERCRd2rIkzwyz2YzZbM7uMEREREREREQeSitkRERERERERESymBIyIiIiIiIiIiJZTAkZEREREREREZEspoSMPPN+eK9rdocgIiIiIiIiYkUJGRERERERERGRLKaEjIiIiIiIiIhIFlNCRkREREREREQkiykhIyIiIiIiIiKSxZSQeQb9/vvvDBkyhOLFi2M2m/Hw8MDf35/w8HAATCYTGzZseCxzXbx4EZPJRERExGMZT0REREREROR/Qe7sDkAev44dO5KUlERoaCilSpXit99+IywsjLi4uAyPkZSUhK2t7ROMUkREREREROR/l1bIPGOuXbvG7t27mTp1Ko0aNaJEiRLUrFmTwMBAXnrpJby8vABo3749JpPJcj1hwgSqVKnCZ599RsmSJbGzswPg22+/5YUXXsDNzY38+fPTunVrzp8/b5mvZMmSAFStWhWTyUTDhg0t9z777DN8fX2xs7OjXLlyLFiwwCrWvXv3UqVKFezs7KhRowYbNmywrLYxDANvb29mzJhh1SciIgKTycS5c+ce8ycnIiIiIiIiknWUkHnGODk54eTkxIYNG0hMTExz/9ChQwAEBwcTGxtruQY4d+4ca9euZd26dZYtSDdv3mTkyJEcPnyYsLAwbGxsaN++PampqQAcPHgQgO3btxMbG8u6desAWL58OePGjWPKlClERUXx/vvvM3bsWEJDQwFISEigTZs2VKxYkaNHjzJ58mTeeustSywmk4m+ffsSHBxsFX9wcDD169fH29s7zbMlJiaSkJBgVURERERERERyIm1Zesbkzp2bkJAQBgwYwKJFi6hWrRoNGjTg5ZdfplKlSri7uwPg5uaGh4eHVd+kpCSWLl1qaQN/bX/6uyVLluDu7s6pU6eoUKGCpW3+/Pmtxhs/fjwzZ86kQ4cOwF8raU6dOsXHH39M7969WbFiBSaTiU8//RQ7Ozv8/Pz45ZdfGDBggGWMgIAAxo0bx8GDB6lZsybJycmsWLEizaqZe4KCgpg4ceK/+PREREREREREsoZWyDyDOnbsyK+//srGjRtp3rw5O3fupFq1aoSEhDywX4kSJaySMQBnz56la9eulCpVChcXF8sWp0uXLt13nJs3b3L+/Hn69etnWbHj5OTEe++9Z9nuFB0dTaVKlSxbowBq1qxpNU6RIkVo1aoVS5YsAeDrr78mMTGRTp06pTtvYGAg8fHxlhITE/PA5xURERERERHJLloh84yys7OjWbNmNGvWjLFjx9K/f3/Gjx9PQEDAffs4OjqmqWvTpg0lSpTg008/pUiRIqSmplKhQgWSkpLuO86NGzcA+PTTT6lVq5bVvVy5cmXqOfr370/Pnj2ZPXs2wcHBdOnSBQcHh3Tbms1mzGZzpsYXERERERERyQ5KyPyP8PPzs7zqOk+ePKSkpDy0T1xcHNHR0Xz66afUq1cPgD179li1ufcmpr+PV6hQIYoUKcKFCxfo3r17umP7+Pjw+eefk5iYaEmi/P08m3tatmyJo6MjCxcu5Ntvv+WHH354+MOKiIiIiIiI5HDasvSMiYuLo3Hjxnz++eccO3aMn376iTVr1jBt2jTatm0LgJeXF2FhYVy+fJmrV6/ed6y8efOSP39+PvnkE86dO8f333/PyJEjrdoULFgQe3t7vv32W3777Tfi4+MBmDhxIkFBQcybN48zZ85w/PhxgoODmTVrFgDdunUjNTWVgQMHEhUVxdatWy1nw5hMJsv4uXLlIiAggMDAQMqUKUPt2rUf6+clIiIiIiIikh2UkHnGODk5UatWLWbPnk39+vWpUKECY8eOZcCAAcyfPx+AmTNnsm3bNjw9Palatep9x7KxsWHVqlUcOXKEChUq8PrrrzN9+nSrNrlz52bevHl8/PHHFClSxJL06d+/P5999hnBwcFUrFiRBg0aEBISYnlNtouLC19//TURERFUqVKFd999l3HjxgFYnSsD0K9fP5KSkujTp89j+5xEREREREREspPJMAwju4MQgb9eld2nTx/i4+Oxt7e31O/evZsmTZoQExNDoUKFMjxeQkICrq6uxMfH4+Li8iRCFhEREREREbHIzO9QnSEj2Wbp0qWUKlWKokWLEhkZyVtvvUXnzp0tyZjExER+//13JkyYQKdOnTKVjBERERERERHJybRlSbLN5cuX6dGjB76+vrz++ut06tSJTz75xHJ/5cqVlChRgmvXrjFt2rRsjFRERERERETk8dKWJXlmacuSiIiIiIiIZKXM/A7VChl5qJ07d2Iymbh27VqG+wQEBNCuXbt/Ne/FixcxmUxEREQ8chwiIiIiIiIiOZESMmJJdNwrhQoVomPHjly4cAGAOnXqEBsbi6urazZHKiIiIiIiIvJsUEJGLKKjo/n1119Zs2YNJ0+epE2bNqSkpGBra4uHhwcmkym7QxQRERERERF5JighIxYFCxakcOHC1K9fn3HjxnHq1CnOnTuXZqtQSEgIbm5ubN26FV9fX5ycnGjevDmxsbFpxpw4cSLu7u64uLgwePBgkpKSLPe+/fZbXnjhBdzc3MifPz+tW7fm/PnzWfW4IiIiIiIiItlGCRlJ171XT/89gfJ3t27dYsaMGSxbtowffviBS5cuMWrUKKs2YWFhREVFsXPnTlauXMm6deuYOHGi5f7NmzcZOXIkhw8fJiwsDBsbG9q3b09qauojxZyYmEhCQoJVEREREREREcmJlJCRNGJjY5kxYwZFixbFx8cn3TbJycksWrSIGjVqUK1aNYYPH05YWJhVG1tbW5YsWUL58uVp1aoVkyZNYt68eZaES8eOHenQoQPe3t5UqVKFJUuWcPz4cU6dOvVIcQcFBeHq6mopnp6ejzSOiIiIiIiIyJOmhIxYFCtWDEdHR4oUKcLNmzdZu3Yttra26bZ1cHCgdOnSluvChQtz5coVqzaVK1fGwcHBcl27dm1u3LhBTEwMAGfPnqVr166UKlUKFxcXvLy8ALh06dIjxR8YGEh8fLyl3JtHREREREREJKfJnd0BSM6xe/duXFxcKFiwIM7Ozg9smydPHqtrk8mEYRiZmq9NmzaUKFGCTz/9lCJFipCamkqFChXuu03qYcxmM2az+ZH6ioiIiIiIiGQlJWTEomTJkri5uT228SIjI7l9+7blPJr9+/fj5OSEp6cncXFxREdH8+mnn1KvXj0A9uzZ89jmFhEREREREcnJlJCRJyYpKYl+/foxZswYLl68yPjx4xk+fDg2NjbkzZuX/Pnz88knn1C4cGEuXbrE22+/nd0hi4iIiIiIiGQJJWTkiWnSpAllypShfv36JCYm0rVrVyZMmACAjY0Nq1at4tVXX6VChQr4+Pgwb948GjZsmK0xi4iIiIiIiGQFk5HZgz9EnhIJCQm4uroSHx+Pi4tLdocjIiIiIiIiz7jM/A7VChl5Zt3LNSYkJGRzJCIiIiIiIvK/4N7vz4ysfVFCRp5ZcXFxAHh6emZzJCIiIiIiIvK/5Pr167i6uj6wjRIy8szKly8fAJcuXXrofwgiT4OEhAQ8PT2JiYnRNjx5Jug7Lc8afaflWaLvszxrsuo7bRgG169fp0iRIg9tq4SMPLNsbGwAcHV11f9E5Jni4uKi77Q8U/SdlmeNvtPyLNH3WZ41WfGdzuiCAJsnGoWIiIiIiIiIiKShhIyIiIiIiIiISBZTQkaeWWazmfHjx2M2m7M7FJHHQt9pedboOy3PGn2n5Vmi77M8a3Lid9pkZORdTCIiIiIiIiIi8thohYyIiIiIiIiISBZTQkZEREREREREJIspISMiIiIiIiIiksWUkBERERERERERyWJKyMgz66OPPsLLyws7Oztq1arFwYMHszskkTSCgoJ47rnncHZ2pmDBgrRr147o6GirNnfu3GHYsGHkz58fJycnOnbsyG+//WbV5tKlS7Rq1QoHBwcKFizIm2++yd27d7PyUUTS+OCDDzCZTIwYMcJSp++zPG1++eUXevToQf78+bG3t6dixYocPnzYct8wDMaNG0fhwoWxt7enadOmnD171mqMP//8k+7du+Pi4oKbmxv9+vXjxo0bWf0oIqSkpDB27FhKliyJvb09pUuXZvLkyfz9PS/6TktO9sMPP9CmTRuKFCmCyWRiw4YNVvcf1/f32LFj1KtXDzs7Ozw9PZk2bdoTeR4lZOSZ9MUXXzBy5EjGjx/P0aNHqVy5Mv7+/ly5ciW7QxOxsmvXLoYNG8b+/fvZtm0bycnJvPjii9y8edPS5vXXX+frr79mzZo17Nq1i19//ZUOHTpY7qekpNCqVSuSkpLYu3cvoaGhhISEMG7cuOx4JBEADh06xMcff0ylSpWs6vV9lqfJ1atXqVu3Lnny5OGbb77h1KlTzJw5k7x581raTJs2jXnz5rFo0SIOHDiAo6Mj/v7+3Llzx9Kme/funDx5km3btrFp0yZ++OEHBg4cmB2PJP/jpk6dysKFC5k/fz5RUVFMnTqVadOm8eGHH1ra6DstOdnNmzepXLky/9fencdEdb19AP8OICAYZdNBUUBFEYEiSlXEWqMUNIpLW00NUdQ2RcEKFVFp00gwbLXSFur+Bxq1Ym20dUUtoAaDgCMoLowWcamK1oWixSLMPO8fv/TWKbhVHMT3+0kmmXvOc889Z/IkXJ7cZfny5U32N0f+1tTUICgoCC4uLtBoNFi6dCni4+OxZs2a5l+QEL2GBg4cKJGRkcq2TqeTLl26SHJycgvOiujpbt68KQDk0KFDIiJSXV0tbdq0ka1btyoxZ8+eFQBSUFAgIiJ79uwRExMTqaqqUmJWrlwp7du3l7q6OuMugEhE7t27J7169ZIDBw7I22+/LVFRUSLCfKbWZ+HChTJ06NDH9uv1enF0dJSlS5cqbdXV1WJhYSGbN28WEZEzZ84IACkuLlZi9u7dKyqVSq5evfryJk/UhDFjxsjMmTMN2t59910JDQ0VEeY0tS4AZPv27cp2c+XvihUrxNbW1uC8Y+HCheLu7t7sa+AVMvTaefjwITQaDQIDA5U2ExMTBAYGoqCgoAVnRvR0f/zxBwDAzs4OAKDRaFBfX2+Qz3369IGzs7OSzwUFBfD29oZarVZigoODUVNTg9OnTxtx9kT/ExkZiTFjxhjkLcB8ptZnx44d8PPzw6RJk9CpUyf4+vpi7dq1Sn9lZSWqqqoMcrpDhw4YNGiQQU7b2NjAz89PiQkMDISJiQkKCwuNtxgiAEOGDEFOTg7OnTsHADhx4gTy8/MxevRoAMxpat2aK38LCgowbNgwmJubKzHBwcHQarW4e/dus87ZrFlHI3oF3Lp1CzqdzuBkHgDUajXKy8tbaFZET6fX6xEdHY2AgAB4eXkBAKqqqmBubg4bGxuDWLVajaqqKiWmqXz/u4/ImLKysnD8+HEUFxc36mM+U2tz4cIFrFy5EvPmzcNnn32G4uJizJ07F+bm5ggLC1NysqmcfTSnO3XqZNBvZmYGOzs75jQZ3aJFi1BTU4M+ffrA1NQUOp0OiYmJCA0NBQDmNLVqzZW/VVVV6N69e6Mx/u579LbVF8WCDBHRKyIyMhKnTp1Cfn5+S0+F6D+5cuUKoqKicODAAVhaWrb0dIhemF6vh5+fH5KSkgAAvr6+OHXqFFatWoWwsLAWnh3R8/vhhx+wadMmfP/99/D09ERpaSmio6PRpUsX5jRRC+AtS/TacXBwgKmpaaO3dty4cQOOjo4tNCuiJ5szZw527dqFvLw8dO3aVWl3dHTEw4cPUV1dbRD/aD47Ojo2me9/9xEZi0ajwc2bN9G/f3+YmZnBzMwMhw4dQnp6OszMzKBWq5nP1Kp07twZffv2NWjz8PDA5cuXAfyTk08653B0dGz0UoGGhgbcuXOHOU1GFxsbi0WLFuGDDz6At7c3pk6dik8//RTJyckAmNPUujVX/hrzXIQFGXrtmJubY8CAAcjJyVHa9Ho9cnJy4O/v34IzI2pMRDBnzhxs374dubm5jS6PHDBgANq0aWOQz1qtFpcvX1by2d/fH2VlZQZ/XA4cOID27ds3+keC6GUaOXIkysrKUFpaqnz8/PwQGhqqfGc+U2sSEBAArVZr0Hbu3Dm4uLgAALp37w5HR0eDnK6pqUFhYaFBTldXV0Oj0Sgxubm50Ov1GDRokBFWQfSP2tpamJgY/gtoamoKvV4PgDlNrVtz5a+/vz8OHz6M+vp6JebAgQNwd3dv1tuVAPAtS/R6ysrKEgsLC1m3bp2cOXNGPv74Y7GxsTF4awfRq2D27NnSoUMHOXjwoFy/fl351NbWKjGzZs0SZ2dnyc3NlWPHjom/v7/4+/sr/Q0NDeLl5SVBQUFSWloq2dnZ0rFjR4mLi2uJJREZePQtSyLMZ2pdioqKxMzMTBITE+X8+fOyadMmsbKyko0bNyoxKSkpYmNjIz///LOcPHlSxo8fL927d5cHDx4oMaNGjRJfX18pLCyU/Px86dWrl0yZMqUllkT/z4WFhYmTk5Ps2rVLKisrZdu2beLg4CALFixQYpjT9Cq7d++elJSUSElJiQCQtLQ0KSkpkUuXLolI8+RvdXW1qNVqmTp1qpw6dUqysrLEyspKVq9e3ezrYUGGXlsZGRni7Ows5ubmMnDgQDl69GhLT4moEQBNfjIzM5WYBw8eSEREhNja2oqVlZVMnDhRrl+/bjDOxYsXZfTo0dK2bVtxcHCQmJgYqa+vN/JqiBr7d0GG+Uytzc6dO8XLy0ssLCykT58+smbNGoN+vV4vX3zxhajVarGwsJCRI0eKVqs1iLl9+7ZMmTJF2rVrJ+3bt5cZM2bIvXv3jLkMIhERqampkaioKHF2dhZLS0vp0aOHfP755wav92VO06ssLy+vyXPnsLAwEWm+/D1x4oQMHTpULCwsxMnJSVJSUl7KelQiIs17zQ0RERERERERET0JnyFDRERERERERGRkLMgQERERERERERkZCzJEREREREREREbGggwRERERERERkZGxIENEREREREREZGQsyBARERERERERGRkLMkRERERERERERsaCDBERERERERGRkbEgQ0RERPQKu3jxIlQqFUpLS1t6Kory8nIMHjwYlpaW6NevX0tPh4iIqFViQYaIiIjoCaZPnw6VSoWUlBSD9p9++gkqlaqFZtWyFi9eDGtra2i1WuTk5Dw2rqqqClFRUXBzc4OlpSXUajUCAgKwcuVK1NbWGnHGRERErx6zlp4AERER0avO0tISqampCA8Ph62tbUtPp1k8fPgQ5ubm/2nfiooKjBkzBi4uLo+NuXDhAgICAmBjY4OkpCR4e3vDwsICZWVlWLNmDZycnDBu3Lj/On0iIqJWj1fIEBERET1FYGAgHB0dkZyc/NiY+Pj4RrfvfPPNN3B1dVW2p0+fjgkTJiApKQlqtRo2NjZISEhAQ0MDYmNjYWdnh65duyIzM7PR+OXl5RgyZAgsLS3h5eWFQ4cOGfSfOnUKo0ePRrt27aBWqzF16lTcunVL6R8+fDjmzJmD6OhoODg4IDg4uMl16PV6JCQkoGvXrrCwsEC/fv2QnZ2t9KtUKmg0GiQkJEClUiE+Pr7JcSIiImBmZoZjx45h8uTJ8PDwQI8ePTB+/Hjs3r0bISEhSmxaWhq8vb1hbW2Nbt26ISIiAvfv31f6161bBxsbG+zatQvu7u6wsrLC+++/j9raWqxfvx6urq6wtbXF3LlzodPplP3q6uowf/58ODk5wdraGoMGDcLBgweV/kuXLiEkJAS2trawtraGp6cn9uzZ0+R6iIiImhsLMkRERERPYWpqiqSkJGRkZOC333579a2kQwAABtVJREFUobFyc3Nx7do1HD58GGlpaVi8eDHGjh0LW1tbFBYWYtasWQgPD290nNjYWMTExKCkpAT+/v4ICQnB7du3AQDV1dUYMWIEfH19cezYMWRnZ+PGjRuYPHmywRjr16+Hubk5jhw5glWrVjU5v2+//RbLli3DV199hZMnTyI4OBjjxo3D+fPnAQDXr1+Hp6cnYmJicP36dcyfP7/RGLdv38b+/fsRGRkJa2vrJo/z6O1eJiYmSE9Px+nTp7F+/Xrk5uZiwYIFBvG1tbVIT09HVlYWsrOzcfDgQUycOBF79uzBnj17sGHDBqxevRo//vijss+cOXNQUFCArKwsnDx5EpMmTcKoUaOUtURGRqKurg6HDx9GWVkZUlNT0a5duybnS0RE1OyEiIiIiB4rLCxMxo8fLyIigwcPlpkzZ4qIyPbt2+XRU6nFixeLj4+Pwb5ff/21uLi4GIzl4uIiOp1OaXN3d5e33npL2W5oaBBra2vZvHmziIhUVlYKAElJSVFi6uvrpWvXrpKamioiIkuWLJGgoCCDY1+5ckUAiFarFRGRt99+W3x9fZ+63i5dukhiYqJB25tvvikRERHKto+PjyxevPixYxw9elQAyLZt2wza7e3txdraWqytrWXBggWP3X/r1q1ib2+vbGdmZgoA+fXXX5W28PBwsbKyknv37iltwcHBEh4eLiIily5dElNTU7l69arB2CNHjpS4uDgREfH29pb4+PjHzoOIiOhl4jNkiIiIiJ5RamoqRowY0eRVIc/K09MTJib/XKSsVqvh5eWlbJuamsLe3h43b9402M/f31/5bmZmBj8/P5w9exYAcOLECeTl5TV5dUdFRQV69+4NABgwYMAT51ZTU4Nr164hICDAoD0gIAAnTpx4xhU+XlFREfR6PUJDQ1FXV6e0//LLL0hOTkZ5eTlqamrQ0NCAv/76C7W1tbCysgIAWFlZoWfPnso+arUarq6uBmtWq9XK71ZWVgadTqes/W91dXWwt7cHAMydOxezZ8/G/v37ERgYiPfeew9vvPHGC6+TiIjoWbAgQ0RERPSMhg0bhuDgYMTFxWH69OkGfSYmJhARg7b6+vpGY7Rp08ZgW6VSNdmm1+ufeV73799HSEgIUlNTG/V17txZ+f6424eam5ubG1QqFbRarUF7jx49AABt27ZV2i5evIixY8di9uzZSExMhJ2dHfLz8/Hhhx/i4cOHSkHmeX+3+/fvw9TUFBqNBqampgZxfxdxPvroIwQHB2P37t3Yv38/kpOTsWzZMnzyySfN8CsQERE9GZ8hQ0RERPQcUlJSsHPnThQUFBi0d+zYEVVVVQZFmdLS0mY77tGjR5XvDQ0N0Gg08PDwAAD0798fp0+fhqurK9zc3Aw+z1OEad++Pbp06YIjR44YtB85cgR9+/Z95nHs7e3xzjvv4LvvvsOff/75xFiNRgO9Xo9ly5Zh8ODB6N27N65du/bMx3ocX19f6HQ63Lx5s9Fv4ujoqMR169YNs2bNwrZt2xATE4O1a9e+8LGJiIieBQsyRERERM/B29sboaGhSE9PN2gfPnw4fv/9d3z55ZeoqKjA8uXLsXfv3mY77vLly7F9+3aUl5cjMjISd+/excyZMwH87+G0d+7cwZQpU1BcXIyKigrs27cPM2bMMHjr0LOIjY1FamoqtmzZAq1Wi0WLFqG0tBRRUVHPNc6KFSvQ0NAAPz8/bNmyBWfPnoVWq8XGjRtRXl6uXLXi5uaG+vp6ZGRk4MKFC9iwYcNjHzj8PHr37o3Q0FBMmzYN27ZtQ2VlJYqKipCcnIzdu3cDAKKjo7Fv3z5UVlbi+PHjyMvLU4pcRERELxsLMkRERETPKSEhodEtRR4eHlixYgWWL18OHx8fFBUVvdCzZv4tJSUFKSkp8PHxQX5+Pnbs2AEHBwcAUK5q0el0CAoKgre3N6Kjo2FjY2PwvJpnMXfuXMybNw8xMTHw9vZGdnY2duzYgV69ej3XOD179kRJSQkCAwMRFxcHHx8f+Pn5ISMjA/Pnz8eSJUsAAD4+PkhLS0Nqaiq8vLywadOmJ75e/HlkZmZi2rRpiImJgbu7OyZMmIDi4mI4OzsDAHQ6HSIjI+Hh4YFRo0ahd+/eWLFiRbMcm4iI6GlU8u+bnYmIiIiIiIiI6KXiFTJEREREREREREbGggwRERERERERkZGxIENEREREREREZGQsyBARERERERERGRkLMkRERERERERERsaCDBERERERERGRkbEgQ0RERERERERkZCzIEBEREREREREZGQsyRERERERERERGxoIMEREREREREZGRsSBDRERERERERGRk/wdtUpRCJ0ek6AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualizing the genres as a barplot\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.barplot(x='Number_of_Games_in_Genre', y='Genre', data=genres_counts, legend=False)\n",
    "\n",
    "plt.title('Number of Games in Each Genre')\n",
    "plt.xlabel('Number of Games')\n",
    "plt.ylabel('Genre')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 554,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Number_of_Games_in_Genre\n",
      "count                 41.000000\n",
      "mean                  86.292683\n",
      "std                  168.421977\n",
      "min                    1.000000\n",
      "25%                    7.000000\n",
      "50%                   26.000000\n",
      "75%                   91.000000\n",
      "max                  980.000000\n",
      "the countsum of genres in the dataset is 3538\n"
     ]
    }
   ],
   "source": [
    "print(genres_counts.describe())\n",
    "sum_genres = genres_counts['Number_of_Games_in_Genre'].sum()\n",
    "print('the countsum of genres in the dataset is', sum_genres)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 555,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\matte\\AppData\\Local\\Temp\\ipykernel_4164\\424389942.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  games['Team'] = games['Team'].astype(str)\n",
      "C:\\Users\\matte\\AppData\\Local\\Temp\\ipykernel_4164\\424389942.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  games['Team'] = games['Team'].apply(lambda x: eval(x) if not pd.isna(x) else [])\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Team</th>\n",
       "      <th>Number_of_Games_by_Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nintendo</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Capcom</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Square Enix</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sega</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>Deck13 Spotlight</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>Project Sora</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>Striking Distance Studios</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>Krafton</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>TT Fusion</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>649 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Team  Number_of_Games_by_Team\n",
       "0                     Nintendo                      240\n",
       "1                       Capcom                       89\n",
       "2                  Square Enix                       75\n",
       "3                         Sega                       62\n",
       "4              Electronic Arts                       54\n",
       "..                         ...                      ...\n",
       "644           Deck13 Spotlight                        1\n",
       "645               Project Sora                        1\n",
       "646  Striking Distance Studios                        1\n",
       "647                    Krafton                        1\n",
       "648                  TT Fusion                        1\n",
       "\n",
       "[649 rows x 2 columns]"
      ]
     },
     "execution_count": 555,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# extracting individual teams\n",
    "games['Team'] = games['Team'].astype(str)\n",
    "games['Team'] = games['Team'].apply(lambda x: eval(x) if not pd.isna(x) else [])\n",
    "all_teams = [team.strip() for teams_list in games['Team'] for team in teams_list]\n",
    "\n",
    "# creating a DataFrame with the teams and their counts\n",
    "team_counts = pd.Series(all_teams).value_counts().reset_index()\n",
    "team_counts.columns = ['Team', 'Number_of_Games_by_Team']\n",
    "team_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 556,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Number_of_Games_by_Team\n",
      "count               649.000000\n",
      "mean                  4.070878\n",
      "std                  11.939194\n",
      "min                   1.000000\n",
      "25%                   1.000000\n",
      "50%                   2.000000\n",
      "75%                   3.000000\n",
      "max                 240.000000\n",
      "the number of teams in the dataset is 649\n"
     ]
    }
   ],
   "source": [
    "print(team_counts.describe())\n",
    "sum_teams = team_counts['Team'].count()\n",
    "print('the number of teams in the dataset is', sum_teams)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 557,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                   Team  Number_of_Games_by_Team\n",
      "0                              Nintendo                      240\n",
      "1                                Capcom                       89\n",
      "2                           Square Enix                       75\n",
      "3                                  Sega                       62\n",
      "4                       Electronic Arts                       54\n",
      "..                                  ...                      ...\n",
      "79  Konami Computer Entertainment Japan                        6\n",
      "80                            LucasArts                        6\n",
      "81                         Nihon Falcom                        6\n",
      "82             Nintendo EAD Group No. 2                        6\n",
      "83                      Guerrilla Games                        6\n",
      "\n",
      "[84 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "#then i filtered the dataframe to minimize it a bit in order to plot it\n",
    "filtered_team_counts = team_counts[team_counts['Number_of_Games_by_Team'] > 5]\n",
    "\n",
    "# Display the resulting DataFrame\n",
    "print(filtered_team_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 558,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# teams plot\n",
    "plt.figure(figsize=(12, 20))\n",
    "sns.barplot(x='Number_of_Games_by_Team', y='Team', data=filtered_team_counts, legend=False)\n",
    "\n",
    "plt.title('Number of Games in Each Team')\n",
    "plt.xlabel('Number of Games')\n",
    "plt.ylabel('Team')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 559,
   "metadata": {},
   "outputs": [],
   "source": [
    "#many companies that belong  together --> extra table for that? how do I group them together?\n",
    "#number of videogames per country\n",
    "#get a table with all the Teams/companies and their countries\n",
    "#webscraping the seats of the companies, city/country\n",
    "#to maybe make a map with geopandas?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 560,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      GameID                                            Reviews   \n",
      "0          0  The first playthrough of elden ring is one of ...  \\\n",
      "0          0  The game is absolutely beautiful, with so much...   \n",
      "0          0  Took everything great about the Soulsborne gam...   \n",
      "0          0  I play with my overlevelled friend every time ...   \n",
      "1          1  convinced this is a roguelike for people who d...   \n",
      "...      ...                                                ...   \n",
      "1511    1511   Pretty Average Lego Game But It Was My Childhood   \n",
      "1511    1511                                      pog lego game   \n",
      "1511    1511  Pretty decent lego game! Loved the attention t...   \n",
      "1511    1511                                              Class   \n",
      "1511    1511                 TT Games got crunch time for this.   \n",
      "\n",
      "                                        Genres  \n",
      "0                         ['Adventure', 'RPG']  \n",
      "0                         ['Adventure', 'RPG']  \n",
      "0                         ['Adventure', 'RPG']  \n",
      "0                         ['Adventure', 'RPG']  \n",
      "1     ['Adventure', 'Brawler', 'Indie', 'RPG']  \n",
      "...                                        ...  \n",
      "1511                   ['Adventure', 'Puzzle']  \n",
      "1511                   ['Adventure', 'Puzzle']  \n",
      "1511                   ['Adventure', 'Puzzle']  \n",
      "1511                   ['Adventure', 'Puzzle']  \n",
      "1511                   ['Adventure', 'Puzzle']  \n",
      "\n",
      "[5439 rows x 3 columns]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\matte\\AppData\\Local\\Temp\\ipykernel_4164\\296687017.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  games['Reviews'] = games['Reviews'].astype(str)\n",
      "C:\\Users\\matte\\AppData\\Local\\Temp\\ipykernel_4164\\296687017.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  games['GameID'] = games.index\n"
     ]
    }
   ],
   "source": [
    "#the reviews are also kinda not stored properly, so I decided to use regex splitting on a string to extract the single reviews and connect them to their game ID\n",
    "# converting to string\n",
    "games['Reviews'] = games['Reviews'].astype(str)\n",
    "\n",
    "# adding an explicit ID with the index\n",
    "games['GameID'] = games.index\n",
    "\n",
    "# splitting and then exploding\n",
    "reviews_data = games[['GameID', 'Reviews', 'Genres']].assign(Reviews=games['Reviews'].str.split(\"', '\"))\n",
    "reviews_data = reviews_data.explode('Reviews')\n",
    "\n",
    "# stripping to clean the reviews up\n",
    "reviews_data['Reviews'] = reviews_data['Reviews'].str.strip('[]\"')\n",
    "reviews_data['Reviews'] = reviews_data['Reviews'].str.strip(\"'\")\n",
    "\n",
    "print(reviews_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 561,
   "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>GameID</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [GameID, Reviews, Genres]\n",
       "Index: []"
      ]
     },
     "execution_count": 561,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check if we have any null reviews in the table from the conversion\n",
    "nullreviews = reviews_data[reviews_data['Reviews'].isnull()]\n",
    "nullreviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 562,
   "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>GameID</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>convinced this is a roguelike for people who d...</td>\n",
       "      <td>['Adventure', 'Brawler', 'Indie', 'RPG']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>incredible art, a banger soundtrack a surprisi...</td>\n",
       "      <td>['Adventure', 'Brawler', 'Indie', 'RPG']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>soundtrack is tied for #1 with nier automata. ...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Just play this game, Dont look at any of these...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Não há palavras que deem para descrever a expe...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1485</th>\n",
       "      <td>1485</td>\n",
       "      <td>Puzzles are fun, ability trees allow for numer...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1487</th>\n",
       "      <td>1487</td>\n",
       "      <td>This is essentially just a dungeon crawler and...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1487</th>\n",
       "      <td>1487</td>\n",
       "      <td>The Last Of Us Part 2 if it was good', \"a few ...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG', 'Turn Based Stra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1500</th>\n",
       "      <td>1500</td>\n",
       "      <td>It's a reasonably solid rogue-lite RPG. The st...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1500</th>\n",
       "      <td>1500</td>\n",
       "      <td>Um bom jogo pra jogar coop, mesmo jogando no D...</td>\n",
       "      <td>['Adventure', 'Indie', 'RPG']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1089 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      GameID                                            Reviews   \n",
       "1          1  convinced this is a roguelike for people who d...  \\\n",
       "1          1  incredible art, a banger soundtrack a surprisi...   \n",
       "3          3  soundtrack is tied for #1 with nier automata. ...   \n",
       "3          3  Just play this game, Dont look at any of these...   \n",
       "3          3  Não há palavras que deem para descrever a expe...   \n",
       "...      ...                                                ...   \n",
       "1485    1485  Puzzles are fun, ability trees allow for numer...   \n",
       "1487    1487  This is essentially just a dungeon crawler and...   \n",
       "1487    1487  The Last Of Us Part 2 if it was good', \"a few ...   \n",
       "1500    1500  It's a reasonably solid rogue-lite RPG. The st...   \n",
       "1500    1500  Um bom jogo pra jogar coop, mesmo jogando no D...   \n",
       "\n",
       "                                                 Genres  \n",
       "1              ['Adventure', 'Brawler', 'Indie', 'RPG']  \n",
       "1              ['Adventure', 'Brawler', 'Indie', 'RPG']  \n",
       "3     ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...  \n",
       "3     ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...  \n",
       "3     ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...  \n",
       "...                                                 ...  \n",
       "1485  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...  \n",
       "1487  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...  \n",
       "1487  ['Adventure', 'Indie', 'RPG', 'Turn Based Stra...  \n",
       "1500                      ['Adventure', 'Indie', 'RPG']  \n",
       "1500                      ['Adventure', 'Indie', 'RPG']  \n",
       "\n",
       "[1089 rows x 3 columns]"
      ]
     },
     "execution_count": 562,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indie_reviews = reviews_data[reviews_data['Genres'].apply(lambda genres: 'Indie' in genres)]\n",
    "indie_reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 563,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      GameID                                            Reviews   \n",
      "0          0  The first playthrough of elden ring is one of ...  \\\n",
      "0          0  The game is absolutely beautiful, with so much...   \n",
      "0          0  Took everything great about the Soulsborne gam...   \n",
      "0          0  I play with my overlevelled friend every time ...   \n",
      "1          1  convinced this is a roguelike for people who d...   \n",
      "...      ...                                                ...   \n",
      "1511    1511   Pretty Average Lego Game But It Was My Childhood   \n",
      "1511    1511                                      pog lego game   \n",
      "1511    1511  Pretty decent lego game! Loved the attention t...   \n",
      "1511    1511                                              Class   \n",
      "1511    1511                 TT Games got crunch time for this.   \n",
      "\n",
      "                                        Genres Language  \n",
      "0                         ['Adventure', 'RPG']       en  \n",
      "0                         ['Adventure', 'RPG']       en  \n",
      "0                         ['Adventure', 'RPG']       en  \n",
      "0                         ['Adventure', 'RPG']       en  \n",
      "1     ['Adventure', 'Brawler', 'Indie', 'RPG']       en  \n",
      "...                                        ...      ...  \n",
      "1511                   ['Adventure', 'Puzzle']       en  \n",
      "1511                   ['Adventure', 'Puzzle']       tl  \n",
      "1511                   ['Adventure', 'Puzzle']       en  \n",
      "1511                   ['Adventure', 'Puzzle']       en  \n",
      "1511                   ['Adventure', 'Puzzle']       en  \n",
      "\n",
      "[5439 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "#there are some reviews in the dataframe that aren't english\n",
    "#so I use langdetect to detect the language of the reviews\n",
    "def detect_language(text):\n",
    "    try:\n",
    "        return detect(text)\n",
    "    except:\n",
    "        return 'unknown'\n",
    "    \n",
    "reviews_data['Language'] = reviews_data['Reviews'].apply(detect_language)\n",
    "print(reviews_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 564,
   "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>Language</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>en</td>\n",
       "      <td>4005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pt</td>\n",
       "      <td>594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>es</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tr</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>de</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>af</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ro</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>it</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>so</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>tl</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>unknown</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>et</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>da</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>fr</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>cy</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>no</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ca</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>sw</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>id</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>nl</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ru</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>sl</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>vi</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>sk</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>sv</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pl</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>sq</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>fi</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>hr</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>lt</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>hu</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>cs</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>ar</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>ko</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>lv</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Language  Count\n",
       "0        en   4005\n",
       "1        pt    594\n",
       "2        es    189\n",
       "3        tr     67\n",
       "4        de     51\n",
       "5        af     49\n",
       "6        ro     46\n",
       "7        it     46\n",
       "8        so     39\n",
       "9        tl     35\n",
       "10  unknown     31\n",
       "11       et     30\n",
       "12       da     29\n",
       "13       fr     27\n",
       "14       cy     23\n",
       "15       no     22\n",
       "16       ca     16\n",
       "17       sw     16\n",
       "18       id     15\n",
       "19       nl     15\n",
       "20       ru     15\n",
       "21       sl     10\n",
       "22       vi      9\n",
       "23       sk      8\n",
       "24       sv      8\n",
       "25       pl      8\n",
       "26       sq      7\n",
       "27       fi      7\n",
       "28       hr      6\n",
       "29       lt      4\n",
       "30       hu      4\n",
       "31       cs      3\n",
       "32       ar      2\n",
       "33       ko      2\n",
       "34       lv      1"
      ]
     },
     "execution_count": 564,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum_languages = reviews_data['Language'].value_counts().reset_index()\n",
    "sum_languages.columns = ['Language', 'Count']\n",
    "sum_languages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 565,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# language in reviews plot\n",
    "plt.figure(figsize=(12, 20))\n",
    "sns.barplot(x='Count', y='Language', data=sum_languages, legend=False)\n",
    "\n",
    "plt.title('Number of Languages in the Reviews')\n",
    "plt.xlabel('Amount')\n",
    "plt.ylabel('Languages')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 566,
   "metadata": {},
   "outputs": [],
   "source": [
    "#translation via DeepL and openai for the languages that aren't english\n",
    "#use the output for different NLP processes (TBD in the next steps)\n",
    "#wordclouds of highest count words in different genre summaries?\n",
    "#maybe a sentiment analysis for indie vs big publisher games\n",
    "#using the summaries and reviews of different genres to write new summaries/reviews for games"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}