Video games.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3f24f47b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "605d1499",
   "metadata": {},
   "outputs": [],
   "source": [
    "games = pd.read_csv('vgames.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d6604cd7",
   "metadata": {
    "scrolled": false
   },
   "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>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Year_of_Release</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Critic_Count</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>User_Count</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.36</td>\n",
       "      <td>28.96</td>\n",
       "      <td>3.77</td>\n",
       "      <td>8.45</td>\n",
       "      <td>82.53</td>\n",
       "      <td>76.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.68</td>\n",
       "      <td>12.76</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3.29</td>\n",
       "      <td>35.52</td>\n",
       "      <td>82.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>709.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.61</td>\n",
       "      <td>10.93</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.95</td>\n",
       "      <td>32.77</td>\n",
       "      <td>80.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>GB</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.28</td>\n",
       "      <td>9.14</td>\n",
       "      <td>6.50</td>\n",
       "      <td>2.88</td>\n",
       "      <td>29.80</td>\n",
       "      <td>89.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>431.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>13.96</td>\n",
       "      <td>9.18</td>\n",
       "      <td>2.93</td>\n",
       "      <td>2.84</td>\n",
       "      <td>28.92</td>\n",
       "      <td>58.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>129.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>14.44</td>\n",
       "      <td>6.94</td>\n",
       "      <td>4.70</td>\n",
       "      <td>2.24</td>\n",
       "      <td>28.32</td>\n",
       "      <td>87.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>594.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>NES</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>26.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.47</td>\n",
       "      <td>28.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name Platform  Year_of_Release         Genre  \\\n",
       "0                 Wii Sports      Wii           2006.0        Sports   \n",
       "1          Super Mario Bros.      NES           1985.0      Platform   \n",
       "2             Mario Kart Wii      Wii           2008.0        Racing   \n",
       "3          Wii Sports Resort      Wii           2009.0        Sports   \n",
       "4   Pokemon Red/Pokemon Blue       GB           1996.0  Role-Playing   \n",
       "5                     Tetris       GB           1989.0        Puzzle   \n",
       "6      New Super Mario Bros.       DS           2006.0      Platform   \n",
       "7                   Wii Play      Wii           2006.0          Misc   \n",
       "8  New Super Mario Bros. Wii      Wii           2009.0      Platform   \n",
       "9                  Duck Hunt      NES           1984.0       Shooter   \n",
       "\n",
       "  Publisher  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0  Nintendo     41.36     28.96      3.77         8.45         82.53   \n",
       "1  Nintendo     29.08      3.58      6.81         0.77         40.24   \n",
       "2  Nintendo     15.68     12.76      3.79         3.29         35.52   \n",
       "3  Nintendo     15.61     10.93      3.28         2.95         32.77   \n",
       "4  Nintendo     11.27      8.89     10.22         1.00         31.37   \n",
       "5  Nintendo     23.20      2.26      4.22         0.58         30.26   \n",
       "6  Nintendo     11.28      9.14      6.50         2.88         29.80   \n",
       "7  Nintendo     13.96      9.18      2.93         2.84         28.92   \n",
       "8  Nintendo     14.44      6.94      4.70         2.24         28.32   \n",
       "9  Nintendo     26.93      0.63      0.28         0.47         28.31   \n",
       "\n",
       "   Critic_Score  Critic_Count  User_Score  User_Count Developer Rating  \n",
       "0          76.0          51.0         8.0       322.0  Nintendo      E  \n",
       "1           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "2          82.0          73.0         8.3       709.0  Nintendo      E  \n",
       "3          80.0          73.0         8.0       192.0  Nintendo      E  \n",
       "4           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "5           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "6          89.0          65.0         8.5       431.0  Nintendo      E  \n",
       "7          58.0          41.0         6.6       129.0  Nintendo      E  \n",
       "8          87.0          80.0         8.4       594.0  Nintendo      E  \n",
       "9           NaN           NaN         NaN         NaN       NaN    NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bda7359d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 16719 entries, 0 to 16718\n",
      "Data columns (total 16 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   Name             16717 non-null  object \n",
      " 1   Platform         16719 non-null  object \n",
      " 2   Year_of_Release  16450 non-null  float64\n",
      " 3   Genre            16717 non-null  object \n",
      " 4   Publisher        16665 non-null  object \n",
      " 5   NA_Sales         16719 non-null  float64\n",
      " 6   EU_Sales         16719 non-null  float64\n",
      " 7   JP_Sales         16719 non-null  float64\n",
      " 8   Other_Sales      16719 non-null  float64\n",
      " 9   Global_Sales     16719 non-null  float64\n",
      " 10  Critic_Score     8137 non-null   float64\n",
      " 11  Critic_Count     8137 non-null   float64\n",
      " 12  User_Score       7590 non-null   float64\n",
      " 13  User_Count       7590 non-null   float64\n",
      " 14  Developer        10096 non-null  object \n",
      " 15  Rating           9950 non-null   object \n",
      "dtypes: float64(10), object(6)\n",
      "memory usage: 2.0+ MB\n"
     ]
    }
   ],
   "source": [
    "games.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "763d69df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name                  2\n",
       "Platform              0\n",
       "Year_of_Release     269\n",
       "Genre                 2\n",
       "Publisher            54\n",
       "NA_Sales              0\n",
       "EU_Sales              0\n",
       "JP_Sales              0\n",
       "Other_Sales           0\n",
       "Global_Sales          0\n",
       "Critic_Score       8582\n",
       "Critic_Count       8582\n",
       "User_Score         9129\n",
       "User_Count         9129\n",
       "Developer          6623\n",
       "Rating             6769\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1c76dc4a",
   "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>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Year_of_Release</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Critic_Count</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>User_Count</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>GB</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>NES</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>26.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.47</td>\n",
       "      <td>28.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Nintendogs</td>\n",
       "      <td>DS</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>9.05</td>\n",
       "      <td>10.95</td>\n",
       "      <td>1.93</td>\n",
       "      <td>2.74</td>\n",
       "      <td>24.67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16714</th>\n",
       "      <td>Samurai Warriors: Sanada Maru</td>\n",
       "      <td>PS3</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16715</th>\n",
       "      <td>LMA Manager 2007</td>\n",
       "      <td>X360</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Codemasters</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16716</th>\n",
       "      <td>Haitaka no Psychedelica</td>\n",
       "      <td>PSV</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Idea Factory</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16717</th>\n",
       "      <td>Spirits &amp; Spells</td>\n",
       "      <td>GBA</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Wanadoo</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16718</th>\n",
       "      <td>Winning Post 8 2016</td>\n",
       "      <td>PSV</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8582 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Name Platform  Year_of_Release         Genre  \\\n",
       "1                  Super Mario Bros.      NES           1985.0      Platform   \n",
       "4           Pokemon Red/Pokemon Blue       GB           1996.0  Role-Playing   \n",
       "5                             Tetris       GB           1989.0        Puzzle   \n",
       "9                          Duck Hunt      NES           1984.0       Shooter   \n",
       "10                        Nintendogs       DS           2005.0    Simulation   \n",
       "...                              ...      ...              ...           ...   \n",
       "16714  Samurai Warriors: Sanada Maru      PS3           2016.0        Action   \n",
       "16715               LMA Manager 2007     X360           2006.0        Sports   \n",
       "16716        Haitaka no Psychedelica      PSV           2016.0     Adventure   \n",
       "16717               Spirits & Spells      GBA           2003.0      Platform   \n",
       "16718            Winning Post 8 2016      PSV           2016.0    Simulation   \n",
       "\n",
       "          Publisher  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "1          Nintendo     29.08      3.58      6.81         0.77         40.24   \n",
       "4          Nintendo     11.27      8.89     10.22         1.00         31.37   \n",
       "5          Nintendo     23.20      2.26      4.22         0.58         30.26   \n",
       "9          Nintendo     26.93      0.63      0.28         0.47         28.31   \n",
       "10         Nintendo      9.05     10.95      1.93         2.74         24.67   \n",
       "...             ...       ...       ...       ...          ...           ...   \n",
       "16714    Tecmo Koei      0.00      0.00      0.01         0.00          0.01   \n",
       "16715   Codemasters      0.00      0.01      0.00         0.00          0.01   \n",
       "16716  Idea Factory      0.00      0.00      0.01         0.00          0.01   \n",
       "16717       Wanadoo      0.01      0.00      0.00         0.00          0.01   \n",
       "16718    Tecmo Koei      0.00      0.00      0.01         0.00          0.01   \n",
       "\n",
       "       Critic_Score  Critic_Count  User_Score  User_Count Developer Rating  \n",
       "1               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "4               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "5               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "9               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "10              NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "...             ...           ...         ...         ...       ...    ...  \n",
       "16714           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16715           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16716           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16717           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16718           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "\n",
       "[8582 rows x 16 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games[games['Critic_Score'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bb5b4d28",
   "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>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Year_of_Release</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Critic_Count</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>User_Count</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>GB</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>NES</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>26.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.47</td>\n",
       "      <td>28.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Nintendogs</td>\n",
       "      <td>DS</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>9.05</td>\n",
       "      <td>10.95</td>\n",
       "      <td>1.93</td>\n",
       "      <td>2.74</td>\n",
       "      <td>24.67</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16714</th>\n",
       "      <td>Samurai Warriors: Sanada Maru</td>\n",
       "      <td>PS3</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>Action</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16715</th>\n",
       "      <td>LMA Manager 2007</td>\n",
       "      <td>X360</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Codemasters</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16716</th>\n",
       "      <td>Haitaka no Psychedelica</td>\n",
       "      <td>PSV</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Idea Factory</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16717</th>\n",
       "      <td>Spirits &amp; Spells</td>\n",
       "      <td>GBA</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Wanadoo</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16718</th>\n",
       "      <td>Winning Post 8 2016</td>\n",
       "      <td>PSV</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6769 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Name Platform  Year_of_Release         Genre  \\\n",
       "1                  Super Mario Bros.      NES           1985.0      Platform   \n",
       "4           Pokemon Red/Pokemon Blue       GB           1996.0  Role-Playing   \n",
       "5                             Tetris       GB           1989.0        Puzzle   \n",
       "9                          Duck Hunt      NES           1984.0       Shooter   \n",
       "10                        Nintendogs       DS           2005.0    Simulation   \n",
       "...                              ...      ...              ...           ...   \n",
       "16714  Samurai Warriors: Sanada Maru      PS3           2016.0        Action   \n",
       "16715               LMA Manager 2007     X360           2006.0        Sports   \n",
       "16716        Haitaka no Psychedelica      PSV           2016.0     Adventure   \n",
       "16717               Spirits & Spells      GBA           2003.0      Platform   \n",
       "16718            Winning Post 8 2016      PSV           2016.0    Simulation   \n",
       "\n",
       "          Publisher  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "1          Nintendo     29.08      3.58      6.81         0.77         40.24   \n",
       "4          Nintendo     11.27      8.89     10.22         1.00         31.37   \n",
       "5          Nintendo     23.20      2.26      4.22         0.58         30.26   \n",
       "9          Nintendo     26.93      0.63      0.28         0.47         28.31   \n",
       "10         Nintendo      9.05     10.95      1.93         2.74         24.67   \n",
       "...             ...       ...       ...       ...          ...           ...   \n",
       "16714    Tecmo Koei      0.00      0.00      0.01         0.00          0.01   \n",
       "16715   Codemasters      0.00      0.01      0.00         0.00          0.01   \n",
       "16716  Idea Factory      0.00      0.00      0.01         0.00          0.01   \n",
       "16717       Wanadoo      0.01      0.00      0.00         0.00          0.01   \n",
       "16718    Tecmo Koei      0.00      0.00      0.01         0.00          0.01   \n",
       "\n",
       "       Critic_Score  Critic_Count  User_Score  User_Count Developer Rating  \n",
       "1               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "4               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "5               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "9               NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "10              NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "...             ...           ...         ...         ...       ...    ...  \n",
       "16714           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16715           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16716           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16717           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "16718           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "\n",
       "[6769 rows x 16 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games[games['Rating'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8acf42df",
   "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>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Year_of_Release</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Critic_Count</th>\n",
       "      <th>User_Score</th>\n",
       "      <th>User_Count</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>Madden NFL 2004</td>\n",
       "      <td>PS2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>4.26</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.71</td>\n",
       "      <td>5.23</td>\n",
       "      <td>94.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>140.0</td>\n",
       "      <td>EA Tiburon</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>FIFA Soccer 2004</td>\n",
       "      <td>PS2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>0.59</td>\n",
       "      <td>2.36</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.51</td>\n",
       "      <td>3.49</td>\n",
       "      <td>84.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>76.0</td>\n",
       "      <td>EA Canada</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>LEGO Batman: The Videogame</td>\n",
       "      <td>Wii</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Action</td>\n",
       "      <td>Warner Bros. Interactive Entertainment</td>\n",
       "      <td>1.80</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.29</td>\n",
       "      <td>3.06</td>\n",
       "      <td>74.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Traveller's Tales</td>\n",
       "      <td>E10+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>wwe Smackdown vs. Raw 2006</td>\n",
       "      <td>PS2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fighting</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.41</td>\n",
       "      <td>3.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>Space Invaders</td>\n",
       "      <td>2600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Atari</td>\n",
       "      <td>2.36</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>2.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16376</th>\n",
       "      <td>PDC World Championship Darts 2008</td>\n",
       "      <td>PSP</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Oxygen Interactive</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>43.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Oxygen Interactive</td>\n",
       "      <td>E10+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16409</th>\n",
       "      <td>Freaky Flyers</td>\n",
       "      <td>GC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>69.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Midway</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16452</th>\n",
       "      <td>Inversion</td>\n",
       "      <td>PC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Namco Bandai Games</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>59.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>107.0</td>\n",
       "      <td>Saber Interactive</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16462</th>\n",
       "      <td>Hakuouki: Shinsengumi Kitan</td>\n",
       "      <td>PS3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16526</th>\n",
       "      <td>Virtua Quest</td>\n",
       "      <td>GC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>55.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Artificial Mind and Movement</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>269 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Name Platform  Year_of_Release  \\\n",
       "183                      Madden NFL 2004      PS2              NaN   \n",
       "377                     FIFA Soccer 2004      PS2              NaN   \n",
       "456           LEGO Batman: The Videogame      Wii              NaN   \n",
       "475           wwe Smackdown vs. Raw 2006      PS2              NaN   \n",
       "609                       Space Invaders     2600              NaN   \n",
       "...                                  ...      ...              ...   \n",
       "16376  PDC World Championship Darts 2008      PSP              NaN   \n",
       "16409                      Freaky Flyers       GC              NaN   \n",
       "16452                          Inversion       PC              NaN   \n",
       "16462        Hakuouki: Shinsengumi Kitan      PS3              NaN   \n",
       "16526                       Virtua Quest       GC              NaN   \n",
       "\n",
       "              Genre                               Publisher  NA_Sales  \\\n",
       "183          Sports                         Electronic Arts      4.26   \n",
       "377          Sports                         Electronic Arts      0.59   \n",
       "456          Action  Warner Bros. Interactive Entertainment      1.80   \n",
       "475        Fighting                                     NaN      1.57   \n",
       "609         Shooter                                   Atari      2.36   \n",
       "...             ...                                     ...       ...   \n",
       "16376        Sports                      Oxygen Interactive      0.01   \n",
       "16409        Racing                                 Unknown      0.01   \n",
       "16452       Shooter                      Namco Bandai Games      0.01   \n",
       "16462     Adventure                                 Unknown      0.01   \n",
       "16526  Role-Playing                                 Unknown      0.01   \n",
       "\n",
       "       EU_Sales  JP_Sales  Other_Sales  Global_Sales  Critic_Score  \\\n",
       "183        0.26      0.01         0.71          5.23          94.0   \n",
       "377        2.36      0.04         0.51          3.49          84.0   \n",
       "456        0.97      0.00         0.29          3.06          74.0   \n",
       "475        1.02      0.00         0.41          3.00           NaN   \n",
       "609        0.14      0.00         0.03          2.53           NaN   \n",
       "...         ...       ...          ...           ...           ...   \n",
       "16376      0.00      0.00         0.00          0.01          43.0   \n",
       "16409      0.00      0.00         0.00          0.01          69.0   \n",
       "16452      0.00      0.00         0.00          0.01          59.0   \n",
       "16462      0.00      0.00         0.00          0.01           NaN   \n",
       "16526      0.00      0.00         0.00          0.01          55.0   \n",
       "\n",
       "       Critic_Count  User_Score  User_Count                     Developer  \\\n",
       "183            29.0         8.5       140.0                    EA Tiburon   \n",
       "377            20.0         6.4        76.0                     EA Canada   \n",
       "456            17.0         7.9        22.0             Traveller's Tales   \n",
       "475             NaN         NaN         NaN                           NaN   \n",
       "609             NaN         NaN         NaN                           NaN   \n",
       "...             ...         ...         ...                           ...   \n",
       "16376           7.0         NaN         NaN            Oxygen Interactive   \n",
       "16409          14.0         6.5         6.0                        Midway   \n",
       "16452           6.0         6.7       107.0             Saber Interactive   \n",
       "16462           NaN         NaN         NaN                           NaN   \n",
       "16526          19.0         5.5        12.0  Artificial Mind and Movement   \n",
       "\n",
       "      Rating  \n",
       "183        E  \n",
       "377        E  \n",
       "456     E10+  \n",
       "475      NaN  \n",
       "609      NaN  \n",
       "...      ...  \n",
       "16376   E10+  \n",
       "16409      T  \n",
       "16452      M  \n",
       "16462    NaN  \n",
       "16526      T  \n",
       "\n",
       "[269 rows x 16 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games[games['Year_of_Release'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e5f8b298",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Доля пропущенных значений в:\n",
      "\"critic_score\" - 48.7%,\n",
      "\"user_score\" --- 59.9%, \n",
      "\"rating\" ------- 59.5%\n"
     ]
    }
   ],
   "source": [
    "crit = 8137 / 16715\n",
    "user = 10014 / 16715\n",
    "rate = 9949 / 16715\n",
    "print('Доля пропущенных значений в:\\n\"critic_score\" - {:.1%},\\n\"user_score\" --- {:.1%}, \\n\"rating\" ------- {:.1%}'\n",
    "      .format(crit, user, rate))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "84de1bbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['name', 'platform', 'year_of_release', 'genre', 'publisher', 'na_sales',\n",
       "       'eu_sales', 'jp_sales', 'other_sales', 'global_sales', 'critic_score',\n",
       "       'critic_count', 'user_score', 'user_count', 'developer', 'rating'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games.columns = games.columns.str.lower()\n",
    "games.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b3c8d50f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 16719 entries, 0 to 16718\n",
      "Data columns (total 16 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   name             16717 non-null  object \n",
      " 1   platform         16719 non-null  object \n",
      " 2   year_of_release  16450 non-null  float64\n",
      " 3   genre            16717 non-null  object \n",
      " 4   publisher        16665 non-null  object \n",
      " 5   na_sales         16719 non-null  float64\n",
      " 6   eu_sales         16719 non-null  float64\n",
      " 7   jp_sales         16719 non-null  float64\n",
      " 8   other_sales      16719 non-null  float64\n",
      " 9   global_sales     16719 non-null  float64\n",
      " 10  critic_score     8137 non-null   float64\n",
      " 11  critic_count     8137 non-null   float64\n",
      " 12  user_score       7590 non-null   float64\n",
      " 13  user_count       7590 non-null   float64\n",
      " 14  developer        10096 non-null  object \n",
      " 15  rating           9950 non-null   object \n",
      "dtypes: float64(10), object(6)\n",
      "memory usage: 2.0+ MB\n"
     ]
    }
   ],
   "source": [
    "games.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e2ea4231",
   "metadata": {
    "scrolled": true
   },
   "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>name</th>\n",
       "      <th>platform</th>\n",
       "      <th>year_of_release</th>\n",
       "      <th>genre</th>\n",
       "      <th>publisher</th>\n",
       "      <th>na_sales</th>\n",
       "      <th>eu_sales</th>\n",
       "      <th>jp_sales</th>\n",
       "      <th>other_sales</th>\n",
       "      <th>global_sales</th>\n",
       "      <th>critic_score</th>\n",
       "      <th>critic_count</th>\n",
       "      <th>user_score</th>\n",
       "      <th>user_count</th>\n",
       "      <th>developer</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.36</td>\n",
       "      <td>28.96</td>\n",
       "      <td>3.77</td>\n",
       "      <td>8.45</td>\n",
       "      <td>82.53</td>\n",
       "      <td>76.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.68</td>\n",
       "      <td>12.76</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3.29</td>\n",
       "      <td>35.52</td>\n",
       "      <td>82.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>709.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.61</td>\n",
       "      <td>10.93</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.95</td>\n",
       "      <td>32.77</td>\n",
       "      <td>80.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tetris</td>\n",
       "      <td>GB</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.28</td>\n",
       "      <td>9.14</td>\n",
       "      <td>6.50</td>\n",
       "      <td>2.88</td>\n",
       "      <td>29.80</td>\n",
       "      <td>89.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>431.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>13.96</td>\n",
       "      <td>9.18</td>\n",
       "      <td>2.93</td>\n",
       "      <td>2.84</td>\n",
       "      <td>28.92</td>\n",
       "      <td>58.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>129.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>New Super Mario Bros. Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>14.44</td>\n",
       "      <td>6.94</td>\n",
       "      <td>4.70</td>\n",
       "      <td>2.24</td>\n",
       "      <td>28.32</td>\n",
       "      <td>87.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>594.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Duck Hunt</td>\n",
       "      <td>NES</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>26.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.47</td>\n",
       "      <td>28.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        name platform  year_of_release         genre  \\\n",
       "0                 Wii Sports      Wii           2006.0        Sports   \n",
       "1          Super Mario Bros.      NES           1985.0      Platform   \n",
       "2             Mario Kart Wii      Wii           2008.0        Racing   \n",
       "3          Wii Sports Resort      Wii           2009.0        Sports   \n",
       "4   Pokemon Red/Pokemon Blue       GB           1996.0  Role-Playing   \n",
       "5                     Tetris       GB           1989.0        Puzzle   \n",
       "6      New Super Mario Bros.       DS           2006.0      Platform   \n",
       "7                   Wii Play      Wii           2006.0          Misc   \n",
       "8  New Super Mario Bros. Wii      Wii           2009.0      Platform   \n",
       "9                  Duck Hunt      NES           1984.0       Shooter   \n",
       "\n",
       "  publisher  na_sales  eu_sales  jp_sales  other_sales  global_sales  \\\n",
       "0  Nintendo     41.36     28.96      3.77         8.45         82.53   \n",
       "1  Nintendo     29.08      3.58      6.81         0.77         40.24   \n",
       "2  Nintendo     15.68     12.76      3.79         3.29         35.52   \n",
       "3  Nintendo     15.61     10.93      3.28         2.95         32.77   \n",
       "4  Nintendo     11.27      8.89     10.22         1.00         31.37   \n",
       "5  Nintendo     23.20      2.26      4.22         0.58         30.26   \n",
       "6  Nintendo     11.28      9.14      6.50         2.88         29.80   \n",
       "7  Nintendo     13.96      9.18      2.93         2.84         28.92   \n",
       "8  Nintendo     14.44      6.94      4.70         2.24         28.32   \n",
       "9  Nintendo     26.93      0.63      0.28         0.47         28.31   \n",
       "\n",
       "   critic_score  critic_count  user_score  user_count developer rating  \n",
       "0          76.0          51.0         8.0       322.0  Nintendo      E  \n",
       "1           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "2          82.0          73.0         8.3       709.0  Nintendo      E  \n",
       "3          80.0          73.0         8.0       192.0  Nintendo      E  \n",
       "4           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "5           NaN           NaN         NaN         NaN       NaN    NaN  \n",
       "6          89.0          65.0         8.5       431.0  Nintendo      E  \n",
       "7          58.0          41.0         6.6       129.0  Nintendo      E  \n",
       "8          87.0          80.0         8.4       594.0  Nintendo      E  \n",
       "9           NaN           NaN         NaN         NaN       NaN    NaN  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b7c7eaf2",
   "metadata": {},
   "outputs": [],
   "source": [
    "for column in games[['name','platform','genre','rating']]:\n",
    "    games[column] = games[column].str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fed0e680",
   "metadata": {},
   "outputs": [],
   "source": [
    "games['year_of_release'] = games['year_of_release'].astype('Int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5105e72d",
   "metadata": {
    "scrolled": true
   },
   "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>name</th>\n",
       "      <th>platform</th>\n",
       "      <th>year_of_release</th>\n",
       "      <th>genre</th>\n",
       "      <th>publisher</th>\n",
       "      <th>na_sales</th>\n",
       "      <th>eu_sales</th>\n",
       "      <th>jp_sales</th>\n",
       "      <th>other_sales</th>\n",
       "      <th>global_sales</th>\n",
       "      <th>critic_score</th>\n",
       "      <th>critic_count</th>\n",
       "      <th>user_score</th>\n",
       "      <th>user_count</th>\n",
       "      <th>developer</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14818</th>\n",
       "      <td>dream girl premier</td>\n",
       "      <td>3ds</td>\n",
       "      <td>2015</td>\n",
       "      <td>misc</td>\n",
       "      <td>Alchemist</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7972</th>\n",
       "      <td>rango: the video game</td>\n",
       "      <td>ps3</td>\n",
       "      <td>2011</td>\n",
       "      <td>action</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.19</td>\n",
       "      <td>65.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Behaviour Interactive</td>\n",
       "      <td>e10+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14673</th>\n",
       "      <td>royal palace of white sword and the city of ge...</td>\n",
       "      <td>pc</td>\n",
       "      <td>2009</td>\n",
       "      <td>role-playing</td>\n",
       "      <td>Take-Two Interactive</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>dragon warrior</td>\n",
       "      <td>nes</td>\n",
       "      <td>1986</td>\n",
       "      <td>role-playing</td>\n",
       "      <td>Capcom</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.52</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4343</th>\n",
       "      <td>singstar take that</td>\n",
       "      <td>ps2</td>\n",
       "      <td>2009</td>\n",
       "      <td>misc</td>\n",
       "      <td>Sony Computer Entertainment</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14003</th>\n",
       "      <td>dt carnage</td>\n",
       "      <td>psp</td>\n",
       "      <td>2009</td>\n",
       "      <td>racing</td>\n",
       "      <td>Agetec</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Axis Entertainment</td>\n",
       "      <td>e10+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4676</th>\n",
       "      <td>farming simulator 17</td>\n",
       "      <td>ps4</td>\n",
       "      <td>2016</td>\n",
       "      <td>simulation</td>\n",
       "      <td>Focus Home Interactive</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.41</td>\n",
       "      <td>69.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Maximum Games</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7267</th>\n",
       "      <td>nfl 2k3</td>\n",
       "      <td>gc</td>\n",
       "      <td>2002</td>\n",
       "      <td>sports</td>\n",
       "      <td>Sega</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.22</td>\n",
       "      <td>92.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Visual Concepts</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14705</th>\n",
       "      <td>whiteout</td>\n",
       "      <td>xb</td>\n",
       "      <td>2002</td>\n",
       "      <td>racing</td>\n",
       "      <td>Konami Digital Entertainment</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>58.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Konami</td>\n",
       "      <td>t</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8047</th>\n",
       "      <td>hatsune miku and future stars: project mirai</td>\n",
       "      <td>3ds</td>\n",
       "      <td>2012</td>\n",
       "      <td>misc</td>\n",
       "      <td>Sega</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8289</th>\n",
       "      <td>broken sword: shadows of the templars - the di...</td>\n",
       "      <td>ds</td>\n",
       "      <td>2009</td>\n",
       "      <td>adventure</td>\n",
       "      <td>Ubisoft</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9304</th>\n",
       "      <td>legends of wrestling</td>\n",
       "      <td>xb</td>\n",
       "      <td>2002</td>\n",
       "      <td>fighting</td>\n",
       "      <td>Acclaim Entertainment</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.14</td>\n",
       "      <td>65.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Acclaim</td>\n",
       "      <td>t</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8233</th>\n",
       "      <td>race pro</td>\n",
       "      <td>x360</td>\n",
       "      <td>2009</td>\n",
       "      <td>racing</td>\n",
       "      <td>Atari</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.17</td>\n",
       "      <td>72.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>SimBin</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16124</th>\n",
       "      <td>himawari: pebble in the sky portable</td>\n",
       "      <td>psp</td>\n",
       "      <td>2010</td>\n",
       "      <td>adventure</td>\n",
       "      <td>Kadokawa Shoten</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3077</th>\n",
       "      <td>disney's kim possible 2: drakken's demise</td>\n",
       "      <td>gba</td>\n",
       "      <td>2004</td>\n",
       "      <td>platform</td>\n",
       "      <td>Disney Interactive Studios</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.66</td>\n",
       "      <td>77.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Artificial Mind and Movement</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2895</th>\n",
       "      <td>ssx</td>\n",
       "      <td>x360</td>\n",
       "      <td>2012</td>\n",
       "      <td>sports</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.70</td>\n",
       "      <td>82.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>186.0</td>\n",
       "      <td>EA Canada</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14862</th>\n",
       "      <td>under the skin</td>\n",
       "      <td>ps2</td>\n",
       "      <td>2004</td>\n",
       "      <td>action</td>\n",
       "      <td>Capcom</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>55.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Capcom</td>\n",
       "      <td>t</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1728</th>\n",
       "      <td>mission: impossible</td>\n",
       "      <td>n64</td>\n",
       "      <td>1997</td>\n",
       "      <td>action</td>\n",
       "      <td>Ocean</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.03</td>\n",
       "      <td>1.17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9269</th>\n",
       "      <td>lips: i love the 80s</td>\n",
       "      <td>x360</td>\n",
       "      <td>2010</td>\n",
       "      <td>misc</td>\n",
       "      <td>Microsoft Game Studios</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15591</th>\n",
       "      <td>elven legacy</td>\n",
       "      <td>pc</td>\n",
       "      <td>2009</td>\n",
       "      <td>strategy</td>\n",
       "      <td>Paradox Interactive</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>71.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1C:Ino-Co</td>\n",
       "      <td>t</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    name platform  \\\n",
       "14818                                 dream girl premier      3ds   \n",
       "7972                               rango: the video game      ps3   \n",
       "14673  royal palace of white sword and the city of ge...       pc   \n",
       "615                                       dragon warrior      nes   \n",
       "4343                                  singstar take that      ps2   \n",
       "14003                                         dt carnage      psp   \n",
       "4676                                farming simulator 17      ps4   \n",
       "7267                                             nfl 2k3       gc   \n",
       "14705                                           whiteout       xb   \n",
       "8047        hatsune miku and future stars: project mirai      3ds   \n",
       "8289   broken sword: shadows of the templars - the di...       ds   \n",
       "9304                                legends of wrestling       xb   \n",
       "8233                                            race pro     x360   \n",
       "16124               himawari: pebble in the sky portable      psp   \n",
       "3077           disney's kim possible 2: drakken's demise      gba   \n",
       "2895                                                 ssx     x360   \n",
       "14862                                     under the skin      ps2   \n",
       "1728                                 mission: impossible      n64   \n",
       "9269                                lips: i love the 80s     x360   \n",
       "15591                                       elven legacy       pc   \n",
       "\n",
       "       year_of_release         genre                     publisher  na_sales  \\\n",
       "14818             2015          misc                     Alchemist      0.00   \n",
       "7972              2011        action               Electronic Arts      0.07   \n",
       "14673             2009  role-playing          Take-Two Interactive      0.00   \n",
       "615               1986  role-playing                        Capcom      0.49   \n",
       "4343              2009          misc   Sony Computer Entertainment      0.00   \n",
       "14003             2009        racing                        Agetec      0.03   \n",
       "4676              2016    simulation        Focus Home Interactive      0.05   \n",
       "7267              2002        sports                          Sega      0.17   \n",
       "14705             2002        racing  Konami Digital Entertainment      0.02   \n",
       "8047              2012          misc                          Sega      0.00   \n",
       "8289              2009     adventure                       Ubisoft      0.07   \n",
       "9304              2002      fighting         Acclaim Entertainment      0.10   \n",
       "8233              2009        racing                         Atari      0.06   \n",
       "16124             2010     adventure               Kadokawa Shoten      0.00   \n",
       "3077              2004      platform    Disney Interactive Studios      0.47   \n",
       "2895              2012        sports               Electronic Arts      0.38   \n",
       "14862             2004        action                        Capcom      0.01   \n",
       "1728              1997        action                         Ocean      0.74   \n",
       "9269              2010          misc        Microsoft Game Studios      0.00   \n",
       "15591             2009      strategy           Paradox Interactive      0.02   \n",
       "\n",
       "       eu_sales  jp_sales  other_sales  global_sales  critic_score  \\\n",
       "14818      0.00      0.03         0.00          0.03           NaN   \n",
       "7972       0.09      0.00         0.03          0.19          65.0   \n",
       "14673      0.02      0.00         0.00          0.03           NaN   \n",
       "615        0.00      0.52         1.51          2.52           NaN   \n",
       "4343       0.06      0.00         0.39          0.45           NaN   \n",
       "14003      0.00      0.00         0.00          0.04           NaN   \n",
       "4676       0.31      0.00         0.06          0.41          69.0   \n",
       "7267       0.04      0.00         0.01          0.22          92.0   \n",
       "14705      0.01      0.00         0.00          0.03          58.0   \n",
       "8047       0.00      0.18         0.00          0.18           NaN   \n",
       "8289       0.08      0.00         0.02          0.17           NaN   \n",
       "9304       0.03      0.00         0.00          0.14          65.0   \n",
       "8233       0.09      0.00         0.02          0.17          72.0   \n",
       "16124      0.00      0.01         0.00          0.01           NaN   \n",
       "3077       0.17      0.00         0.01          0.66          77.0   \n",
       "2895       0.26      0.00         0.06          0.70          82.0   \n",
       "14862      0.01      0.00         0.00          0.03          55.0   \n",
       "1728       0.38      0.02         0.03          1.17           NaN   \n",
       "9269       0.12      0.00         0.02          0.14           NaN   \n",
       "15591      0.00      0.00         0.00          0.02          71.0   \n",
       "\n",
       "       critic_count  user_score  user_count                     developer  \\\n",
       "14818           NaN         NaN         NaN                           NaN   \n",
       "7972           23.0         6.4         7.0         Behaviour Interactive   \n",
       "14673           NaN         NaN         NaN                           NaN   \n",
       "615             NaN         NaN         NaN                           NaN   \n",
       "4343            NaN         NaN         NaN                           NaN   \n",
       "14003           NaN         NaN         NaN            Axis Entertainment   \n",
       "4676           17.0         8.7        12.0                 Maximum Games   \n",
       "7267           24.0         8.3        15.0               Visual Concepts   \n",
       "14705           4.0         NaN         NaN                        Konami   \n",
       "8047            NaN         NaN         NaN                           NaN   \n",
       "8289            NaN         NaN         NaN                           NaN   \n",
       "9304           10.0         5.8         4.0                       Acclaim   \n",
       "8233           54.0         7.0        60.0                        SimBin   \n",
       "16124           NaN         NaN         NaN                           NaN   \n",
       "3077            8.0         NaN         NaN  Artificial Mind and Movement   \n",
       "2895           65.0         6.4       186.0                     EA Canada   \n",
       "14862          30.0         NaN         NaN                        Capcom   \n",
       "1728            NaN         NaN         NaN                           NaN   \n",
       "9269            NaN         NaN         NaN                           NaN   \n",
       "15591          27.0         7.1        38.0                     1C:Ino-Co   \n",
       "\n",
       "      rating  \n",
       "14818    NaN  \n",
       "7972    e10+  \n",
       "14673    NaN  \n",
       "615      NaN  \n",
       "4343     NaN  \n",
       "14003   e10+  \n",
       "4676       e  \n",
       "7267       e  \n",
       "14705      t  \n",
       "8047     NaN  \n",
       "8289     NaN  \n",
       "9304       t  \n",
       "8233       e  \n",
       "16124    NaN  \n",
       "3077       e  \n",
       "2895       e  \n",
       "14862      t  \n",
       "1728     NaN  \n",
       "9269     NaN  \n",
       "15591      t  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games.sample(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cea54907",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "269"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games['year_of_release'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f9374abc",
   "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>name</th>\n",
       "      <th>platform</th>\n",
       "      <th>year_of_release</th>\n",
       "      <th>genre</th>\n",
       "      <th>publisher</th>\n",
       "      <th>na_sales</th>\n",
       "      <th>eu_sales</th>\n",
       "      <th>jp_sales</th>\n",
       "      <th>other_sales</th>\n",
       "      <th>global_sales</th>\n",
       "      <th>critic_score</th>\n",
       "      <th>critic_count</th>\n",
       "      <th>user_score</th>\n",
       "      <th>user_count</th>\n",
       "      <th>developer</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>madden nfl 2004</td>\n",
       "      <td>ps2</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>sports</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>4.26</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.71</td>\n",
       "      <td>5.23</td>\n",
       "      <td>94.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>8.5</td>\n",
       "      <td>140.0</td>\n",
       "      <td>EA Tiburon</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>madden nfl 2004</td>\n",
       "      <td>xb</td>\n",
       "      <td>2003</td>\n",
       "      <td>sports</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>1.09</td>\n",
       "      <td>92.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>48.0</td>\n",
       "      <td>EA Tiburon</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3889</th>\n",
       "      <td>madden nfl 2004</td>\n",
       "      <td>gc</td>\n",
       "      <td>2003</td>\n",
       "      <td>sports</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.51</td>\n",
       "      <td>94.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>17.0</td>\n",
       "      <td>EA Tiburon</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5708</th>\n",
       "      <td>madden nfl 2004</td>\n",
       "      <td>gba</td>\n",
       "      <td>2003</td>\n",
       "      <td>sports</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.31</td>\n",
       "      <td>70.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>BudCat</td>\n",
       "      <td>e</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 name platform  year_of_release   genre        publisher  \\\n",
       "183   madden nfl 2004      ps2             <NA>  sports  Electronic Arts   \n",
       "1881  madden nfl 2004       xb             2003  sports  Electronic Arts   \n",
       "3889  madden nfl 2004       gc             2003  sports  Electronic Arts   \n",
       "5708  madden nfl 2004      gba             2003  sports  Electronic Arts   \n",
       "\n",
       "      na_sales  eu_sales  jp_sales  other_sales  global_sales  critic_score  \\\n",
       "183       4.26      0.26      0.01         0.71          5.23          94.0   \n",
       "1881      1.02      0.02      0.00         0.05          1.09          92.0   \n",
       "3889      0.40      0.10      0.00         0.01          0.51          94.0   \n",
       "5708      0.22      0.08      0.00         0.01          0.31          70.0   \n",
       "\n",
       "      critic_count  user_score  user_count   developer rating  \n",
       "183           29.0         8.5       140.0  EA Tiburon      e  \n",
       "1881          27.0         8.3        48.0  EA Tiburon      e  \n",
       "3889          19.0         7.7        17.0  EA Tiburon      e  \n",
       "5708           9.0         6.6         5.0      BudCat      e  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games.query('name == \"madden nfl 2004\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0d6d82d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in games[games['year_of_release'].isnull() == True].index:  \n",
    "    games['year_of_release'][i] = games.loc[games['name'] == games['name'][i], 'year_of_release'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1e5b09d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "146"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games['year_of_release'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "72f7048e",
   "metadata": {},
   "outputs": [],
   "source": [
    "games['user_score'] = games['user_score'].replace('tbd', np.nan, regex=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "579e1253",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games['user_score'] = games['user_score'].astype(float)\n",
    "games['user_score'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "72899d16",
   "metadata": {},
   "outputs": [],
   "source": [
    "games['total_sales'] = games['na_sales'] + games['eu_sales'] + games['jp_sales'] + games['other_sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3030ca39",
   "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>name</th>\n",
       "      <th>platform</th>\n",
       "      <th>year_of_release</th>\n",
       "      <th>genre</th>\n",
       "      <th>publisher</th>\n",
       "      <th>na_sales</th>\n",
       "      <th>eu_sales</th>\n",
       "      <th>jp_sales</th>\n",
       "      <th>other_sales</th>\n",
       "      <th>global_sales</th>\n",
       "      <th>critic_score</th>\n",
       "      <th>critic_count</th>\n",
       "      <th>user_score</th>\n",
       "      <th>user_count</th>\n",
       "      <th>developer</th>\n",
       "      <th>rating</th>\n",
       "      <th>total_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>wii sports</td>\n",
       "      <td>wii</td>\n",
       "      <td>2006</td>\n",
       "      <td>sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.36</td>\n",
       "      <td>28.96</td>\n",
       "      <td>3.77</td>\n",
       "      <td>8.45</td>\n",
       "      <td>82.53</td>\n",
       "      <td>76.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>e</td>\n",
       "      <td>82.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>super mario bros.</td>\n",
       "      <td>nes</td>\n",
       "      <td>1985</td>\n",
       "      <td>platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mario kart wii</td>\n",
       "      <td>wii</td>\n",
       "      <td>2008</td>\n",
       "      <td>racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.68</td>\n",
       "      <td>12.76</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3.29</td>\n",
       "      <td>35.52</td>\n",
       "      <td>82.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>709.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>e</td>\n",
       "      <td>35.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>wii sports resort</td>\n",
       "      <td>wii</td>\n",
       "      <td>2009</td>\n",
       "      <td>sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.61</td>\n",
       "      <td>10.93</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.95</td>\n",
       "      <td>32.77</td>\n",
       "      <td>80.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>e</td>\n",
       "      <td>32.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pokemon red/pokemon blue</td>\n",
       "      <td>gb</td>\n",
       "      <td>1996</td>\n",
       "      <td>role-playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16714</th>\n",
       "      <td>samurai warriors: sanada maru</td>\n",
       "      <td>ps3</td>\n",
       "      <td>2016</td>\n",
       "      <td>action</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16715</th>\n",
       "      <td>lma manager 2007</td>\n",
       "      <td>x360</td>\n",
       "      <td>2006</td>\n",
       "      <td>sports</td>\n",
       "      <td>Codemasters</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16716</th>\n",
       "      <td>haitaka no psychedelica</td>\n",
       "      <td>psv</td>\n",
       "      <td>2016</td>\n",
       "      <td>adventure</td>\n",
       "      <td>Idea Factory</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16717</th>\n",
       "      <td>spirits &amp; spells</td>\n",
       "      <td>gba</td>\n",
       "      <td>2003</td>\n",
       "      <td>platform</td>\n",
       "      <td>Wanadoo</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16718</th>\n",
       "      <td>winning post 8 2016</td>\n",
       "      <td>psv</td>\n",
       "      <td>2016</td>\n",
       "      <td>simulation</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16719 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                name platform  year_of_release         genre  \\\n",
       "0                         wii sports      wii             2006        sports   \n",
       "1                  super mario bros.      nes             1985      platform   \n",
       "2                     mario kart wii      wii             2008        racing   \n",
       "3                  wii sports resort      wii             2009        sports   \n",
       "4           pokemon red/pokemon blue       gb             1996  role-playing   \n",
       "...                              ...      ...              ...           ...   \n",
       "16714  samurai warriors: sanada maru      ps3             2016        action   \n",
       "16715               lma manager 2007     x360             2006        sports   \n",
       "16716        haitaka no psychedelica      psv             2016     adventure   \n",
       "16717               spirits & spells      gba             2003      platform   \n",
       "16718            winning post 8 2016      psv             2016    simulation   \n",
       "\n",
       "          publisher  na_sales  eu_sales  jp_sales  other_sales  global_sales  \\\n",
       "0          Nintendo     41.36     28.96      3.77         8.45         82.53   \n",
       "1          Nintendo     29.08      3.58      6.81         0.77         40.24   \n",
       "2          Nintendo     15.68     12.76      3.79         3.29         35.52   \n",
       "3          Nintendo     15.61     10.93      3.28         2.95         32.77   \n",
       "4          Nintendo     11.27      8.89     10.22         1.00         31.37   \n",
       "...             ...       ...       ...       ...          ...           ...   \n",
       "16714    Tecmo Koei      0.00      0.00      0.01         0.00          0.01   \n",
       "16715   Codemasters      0.00      0.01      0.00         0.00          0.01   \n",
       "16716  Idea Factory      0.00      0.00      0.01         0.00          0.01   \n",
       "16717       Wanadoo      0.01      0.00      0.00         0.00          0.01   \n",
       "16718    Tecmo Koei      0.00      0.00      0.01         0.00          0.01   \n",
       "\n",
       "       critic_score  critic_count  user_score  user_count developer rating  \\\n",
       "0              76.0          51.0         8.0       322.0  Nintendo      e   \n",
       "1               NaN           NaN         NaN         NaN       NaN    NaN   \n",
       "2              82.0          73.0         8.3       709.0  Nintendo      e   \n",
       "3              80.0          73.0         8.0       192.0  Nintendo      e   \n",
       "4               NaN           NaN         NaN         NaN       NaN    NaN   \n",
       "...             ...           ...         ...         ...       ...    ...   \n",
       "16714           NaN           NaN         NaN         NaN       NaN    NaN   \n",
       "16715           NaN           NaN         NaN         NaN       NaN    NaN   \n",
       "16716           NaN           NaN         NaN         NaN       NaN    NaN   \n",
       "16717           NaN           NaN         NaN         NaN       NaN    NaN   \n",
       "16718           NaN           NaN         NaN         NaN       NaN    NaN   \n",
       "\n",
       "       total_sales  \n",
       "0            82.54  \n",
       "1            40.24  \n",
       "2            35.52  \n",
       "3            32.77  \n",
       "4            31.38  \n",
       "...            ...  \n",
       "16714         0.01  \n",
       "16715         0.01  \n",
       "16716         0.01  \n",
       "16717         0.01  \n",
       "16718         0.01  \n",
       "\n",
       "[16719 rows x 17 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "72d1d59a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x14f39cc2dc0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "games_by_each_year = games.pivot_table(index='year_of_release', values='name', aggfunc='count')\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.lineplot(data=games_by_each_year)\n",
    "sns.set_style('darkgrid')\n",
    "plt.title(\"Количество игр по годам\")\n",
    "plt.xlabel(\"Год выпуска\")\n",
    "plt.ylabel(\"Количество выпущенных игр\")\n",
    "plt.legend('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4353ec06",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_any_bar(groupby_column, func, y='name'):\n",
    "    plt.style.use('seaborn-pastel')\n",
    "    df_to_plot = games.groupby(groupby_column)[y]\n",
    "    if func == 'count':\n",
    "        df_to_plot_calculated = df_to_plot.count()\n",
    "        figsize = (15,5)\n",
    "        plot = df_to_plot_calculated.plot(kind='bar', y=y, figsize=figsize, ec='black')\n",
    "    elif func == 'sum':\n",
    "        df_to_plot_calculated = df_to_plot.sum().sort_values()\n",
    "        figsize = (15,10)\n",
    "        plot = df_to_plot_calculated.plot(kind='barh', y=y, figsize=figsize, ec='black')\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "01317c6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_any_bar('year_of_release', 'count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1927d18e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Количество продаж')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sales_on_platform = games.pivot_table(index='platform', values='total_sales', aggfunc='sum').sort_values(\n",
    "    by='total_sales', ascending=False)\n",
    "\n",
    "plt.figure(figsize=(13,4))\n",
    "sns.barplot(x=sales_on_platform.index,y=sales_on_platform['total_sales'])\n",
    "plt.title(\"Продажи по платформам за весь период\")\n",
    "plt.xlabel(\"Название платформы\")\n",
    "plt.ylabel(\"Количество продаж\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "805f1430",
   "metadata": {},
   "outputs": [],
   "source": [
    "platform_grouped = sales_on_platform.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d1b1ba4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ps2', 'x360', 'ps3', 'wii', 'ds', 'ps', 'gba', 'ps4', 'psp', 'pc',\n",
       "       '3ds', 'xb', 'gb', 'nes', 'n64', 'snes', 'gc', 'xone', '2600',\n",
       "       'wiiu', 'psv', 'sat', 'gen', 'dc', 'scd', 'ng', 'ws', 'tg16',\n",
       "       '3do', 'gg', 'pcfx'], dtype=object)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_platforms_list = platform_grouped['platform'].unique()\n",
    "top_platforms_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "718c92ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Honor\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:345: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = self.plt.figure(figsize=self.figsize)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAv4AAAEgCAYAAADMuXd7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAip0lEQVR4nO3da3RU5d338d8wQ4BkhgQhUDyAEptltX0MiauINiC3BhFKLQaYEEwF8tQlUhUbOWhtjApDqN6gIgdF8YBWg4CH1Ef0jiCpWdSaQJRUxDZqBAUJkAAzCcxpPy+67mlTQnZIAhPY388rZ6597flvXri+mdnJ2AzDMAQAAADgrNYl2gMAAAAAOPUIfwAAAMACCH8AAADAAgh/AAAAwAIIfwAAAMACCH8AAADAAgh/ALC4adOm6eDBg6bHGYahOXPm6Nlnn23y/Msvv6xx48bphhtu0D333CO/33+qRgUAtAPhDwAWV1ZWZnpMdXW1brnlFr377rtNnn/vvff00ksv6bnnntPbb7+tY8eO6fnnnz9FkwIA2sMR7QEAANFz7733SpJuueUWPfDAA/J4PAoEAhowYIC+++47zZ07V0OGDNHLL7+sCRMm6Nxzz22y/4033tC0adOUkJAgSXrwwQcVCARO92UAAFqBd/wBwMIWLFggSXrhhReUl5enu+66S8XFxcrJydGOHTsix+Xn52vs2LHH7f/666914MAB5ebmauzYsVqyZIlcLtdpmx8A0HqEPwBAu3fvliQNHz5cknTllVfqhz/8oem+YDCosrIyPf7441q3bp0OHTqkxYsXn9JZAQBtQ/gDAOT3+2UYRpPn7Ha76b6+fftq5MiRcjqdiomJ0S9+8QtVVlaeoikBAO1B+AOAxdntdp133nmKiYlRaWmpJOnTTz/VF198IZvN1uLe66+/Xu+8846OHj0qwzBUUlKin/zkJ6djbADASeKXewHA4kaNGqUpU6aosLBQf/jDH7Ro0SJdeOGF6tOnj7p3797i3uzsbB06dEg33XSTQqGQLrvsMs2dO/c0TQ4AOBk24z8/2wUAWNLChQuVm5urPn36aM+ePbrxxhtVUlKinj17Rns0AEAH4B1/AIAk6bzzztOUKVPkcDhkGIbmzZtH9APAWYR3/AEAAAAL4Jd7AQAAAAsg/AEAAAALIPwBAAAAC+g0v9wbDocVCvHrBgDQmdntNv5fDQCdWNeuJ/7yxU4T/qGQofr6hmiPAQBoQUJCLP+vBoBOLDHRdcI1bvUBAAAALIDwBwAAACyA8AcAAAAsoNPc4w8AAICzWygUVF1drYJBf7RHOeM5HDHq1StRdnvrc57wBwAAwGlRV1er7t1jFRf3A9lstmiPc8YyDEM+32HV1dWqT5/+rd5neqtPOBxWfn6+3G63cnJyVFNTc9wxjY2NysrKUnV1deS5p556Sm63WzfddJNee+21Vg8EAACAs1Mw6FdcXE+iv51sNpvi4nqe9CcnpuFfUlIiv9+voqIi5eXlqbCwsMn69u3bNXnyZO3atSvy3EcffaRt27bplVde0erVq7V3796TGgoAAABnJ6K/Y7Tl39H0Vp+Kigqlp6dLklJSUlRVVdVk3e/3a+nSpZo9e3bkuQ8//FDJycmaMWOGvF5vkzUAAABAkuJ7xSnG0XF/a8YfDOtQna/Dzne2MQ1/r9crp9MZeWy32xUMBuVw/HNrWlracXvq6ur03XffacWKFdq9e7emT5+uDRs2tPiTid1uU0JCbFuuAeiUbF26yGHnXQ2cfVr6chjgTBMMGTLC4WiPYRnff2+T3f6v0I9xdNGSLR13/juGdmly/v907Ngxvfvu/9MvfjGu2fVt2yrkcrl08cXJza6//fZbqqn5Wrfffme7Z7399l9r9uz7dOGFF7X5HDbbyfWzafg7nU75fP/6ySkcDkei/0QSEhI0aNAgxcTEaNCgQerWrZsOHjyo3r17n3AP39yLs01ioqtD/2cGAOh4dwy1qfYg/XG6GIahUOjU/qDV0vlra2v15puva8yYG5tdLy5+U9deO1IXXXRxs+vhsKFwuGOuwTDafy7DOL6fW3pzxjT8U1NTtWnTJo0ePVqVlZVKTm7+J6B/l5aWphdffFFTp07Vvn371NjYqISEBPPpAQAAgFPkxRdX6euvv9Jzz63Ujh1/k8/nUygU0q9/PV1xcU599NEWffHF57rwwkEqK9uszZs3KRgMyul0av78R0zP/+mnlXryycfkcDjkcrn0wAPzZBiGCgvnyes9okOH6jV27DiNGzc+ssfr9aqw8CEdOnRIkjRz5iwlJV2s+fML9O23u+X3+zVp0s269tqR7b5+0/DPyMhQWVmZsrKyZBiGPB6PiouL1dDQILfb3eyeESNG6OOPP9b48eNlGIby8/Nlt9vbPSwAAADQVr/61TRVV/9DPp9PV1wxRBMnTlJt7T7dfvv/VVHRGxoyZKiuvXak+vbtq0OHDumxx5apS5cu+u1vf6MdO/5mev4//3mzhg8foUmTcvThh6U6fPifsX/ddSM1fPh/af/+Wv3mN7c2Cf8XX1yltLSfaty48dq16xt5PA/qv//7CW3dWq5nnlktm82mv/71Lx1y/abh36VLFz300ENNnktKSjruuNWrVzd5zC/0AgAAoDOqqflKI0eOkiQlJvZVbGyc6uvrIutdunRR165dVVDwO/Xo0UP79u1TMBg0PW9OzlS9+OIq3XXXdCUm9tWll/5YvXv31po1f9TmzZsUGxt33Hm+/PIf2rq1XO+//54k6ciRI4qNjdPdd8/WH/4wXw0NPo0ceUOHXDdf4AUAAABLsNm6yDDCGjjwIn3ySaWSky9Rbe0+HTlyWD17xstms8kwwvrHP/6u0tIPtHLlCzp69Khyc29u1fn/53/e0ejRP9dvfjNTq1c/p7feWi+fz6sf//j/aNy48dq6tVxbtnzYZM/AgRdq5MhLNXLkKNXVHVRx8Rvav3+/du7coQULHtWxY8eUmTlG118/2vT3bM0Q/gAAAIgKfzCsO4Z27J/zbEmvXr0UCATl83m1devH+uCD93Xs2DHNnv07ORwOXXrpj7VixZN64IH56tGjh3JzcxQT01W9e/fR/v21pq9/ySWXad68AsXGxsrhcGj27N9p7949evTRBXrvvXcUHx8vu90uv/9fX7z1q19NU2Hhw3rrrfVqaPBp2rRb1bt3bx08eEBTp2arR49YZWXd3O7olySbYRhGu8/SAQKBEH/VB2cV/qoPAHR+dwyVamuPRHsMy9i7t0Y/+MHAaI9x1mju37Ndf9UHAAAAwL/cd98sHT58qMlzTqdThYWLojRR6xD+AAAAwEnweMz/tGdn1HE3VQEAAAAmOsld5me8tvw7Ev4AAAA4LRyOGPl8h4n/djIMQz7fYTkcMSe1j1t9AAAAcFr06pWourpaeb310R7ljOdwxKhXr8ST23OKZgEAAACasNsd6tOnf7THsCxu9QEAAAAsgPAHAAAALIDwBwAAACyA8AcAAAAsgPAHAAAALIDwBwAAACyA8AcAAAAsgPAHAAAALIDwBwAAACzANPzD4bDy8/PldruVk5Ojmpqa445pbGxUVlaWqqurmzx/4MABDR8+/LjnAQAAAJxepuFfUlIiv9+voqIi5eXlqbCwsMn69u3bNXnyZO3atavJ84FAQPn5+erevXvHTgwAAADgpJmGf0VFhdLT0yVJKSkpqqqqarLu9/u1dOlSDRo0qMnzCxcuVFZWlvr27duB4wIAAABoC4fZAV6vV06nM/LYbrcrGAzK4fjn1rS0tOP2rF+/Xuecc47S09P19NNPt2oQu92mhITY1s4NAADQIegPWIVp+DudTvl8vsjjcDgcif4TWbdunWw2m7Zs2aIdO3Zozpw5Wr58uRITE0+4JxQyVF/fcBKjA51bYqIr2iMAAFqB/sDZpKX+MA3/1NRUbdq0SaNHj1ZlZaWSk5NNX/Dll1+O/HdOTo4KCgpajH4AAAAAp5Zp+GdkZKisrExZWVkyDEMej0fFxcVqaGiQ2+0+HTMCAAAAaCebYRhGtIeQpEAgxEdtOKskJrq0ZEu0pwAAtOSOoVJt7ZFojwF0mJZu9eELvAAAAAALIPwBAAAACyD8AQAAAAsg/AEAAAALIPwBAAAACyD8AQAAAAsg/AEAAAALIPwBAAAACyD8AQAAAAsg/AEAAAALIPwBAAAACyD8AQAAAAsg/AEAAAALIPwBAAAACyD8AQAAAAsg/AEAAAALIPwBAAAACyD8AQAAAAswDf9wOKz8/Hy53W7l5OSopqbmuGMaGxuVlZWl6upqSVIgENCsWbOUnZ2t8ePH6/333+/4yQEAAAC0mmn4l5SUyO/3q6ioSHl5eSosLGyyvn37dk2ePFm7du2KPPfWW28pISFBf/zjH7Vy5Uo9/PDDHT85AAAAgFYzDf+Kigqlp6dLklJSUlRVVdVk3e/3a+nSpRo0aFDkuVGjRumuu+6KPLbb7R01LwAAAIA2cJgd4PV65XQ6I4/tdruCwaAcjn9uTUtLO25PXFxcZO+dd96pmTNnmg5it9uUkBDb2rkBAAA6BP0BqzANf6fTKZ/PF3kcDocj0d+SPXv2aMaMGcrOztbYsWNNjw+FDNXXN5geB5wpEhNd0R4BANAK9AfOJi31h+mtPqmpqSotLZUkVVZWKjk52fQF9+/fr2nTpmnWrFkaP378SYwKAAAA4FQwfes+IyNDZWVlysrKkmEY8ng8Ki4uVkNDg9xud7N7VqxYocOHD2vZsmVatmyZJGnlypXq3r17x04PAAAAoFVshmEY0R5CkgKBEB+14aySmOjSki3RngIA0JI7hkq1tUeiPQbQYdp1qw8AAACAMx/hDwAAAFgA4Q8AAABYAOEPAAAAWADhDwAAAFgA4Q8AAABYAOEPAAAAWADhDwAAAFgA4Q8AAABYAOEPAAAAWADhDwAAAFgA4Q8AAABYAOEPAAAAWADhDwAAAFgA4Q8AAABYAOEPAAAAWADhDwAAAFgA4Q8AAABYgGn4h8Nh5efny+12KycnRzU1Nccd09jYqKysLFVXV7d6DwAAAIDTxzT8S0pK5Pf7VVRUpLy8PBUWFjZZ3759uyZPnqxdu3a1eg8AAACA08s0/CsqKpSeni5JSklJUVVVVZN1v9+vpUuXatCgQa3eAwAAAOD0cpgd4PV65XQ6I4/tdruCwaAcjn9uTUtLO+k9zbHbbUpIiD2p4QEAANqL/oBVmIa/0+mUz+eLPA6Hwy0GfFv3hEKG6usbzMYBzhiJia5ojwAAaAX6A2eTlvrD9Faf1NRUlZaWSpIqKyuVnJxs+oJt2QMAAADg1DF9xz8jI0NlZWXKysqSYRjyeDwqLi5WQ0OD3G53q/cAAAAAiB6bYRhGtIeQpEAgxEdtOKskJrq0ZEu0pwAAtOSOoVJt7ZFojwF0mHbd6gMAAADgzEf4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAW4DA7IBwOq6CgQDt37lRMTIzmzZungQMHRtY3btyopUuXyuFwKDMzUxMnTlQgENDcuXP17bffqkuXLnr44YeVlJR0Si8EAAAAwImZvuNfUlIiv9+voqIi5eXlqbCwMLIWCAS0YMECrVq1SqtXr1ZRUZFqa2u1efNmBYNBvfrqq5oxY4Yee+yxU3kNAAAAAEyYvuNfUVGh9PR0SVJKSoqqqqoia9XV1RowYIDi4+MlSWlpaSovL1dycrJCoZDC4bC8Xq8cDtOXAQAAAHAKmRa51+uV0+mMPLbb7QoGg3I4HPJ6vXK5XJG1uLg4eb1excbG6ttvv9UNN9yguro6rVixwnQQu92mhITYNl4GAABA29AfsArT8Hc6nfL5fJHH4XA48g7+f675fD65XC49//zz+tnPfqa8vDzt2bNHt9xyi4qLi9WtW7cTvk4oZKi+vqE91wJ0KomJLvODAABRR3/gbNJSf5je45+amqrS0lJJUmVlpZKTkyNrSUlJqqmpUX19vfx+v8rLyzV48GD17Nkz8klAfHy8gsGgQqFQe68DAAAAQBuZvuOfkZGhsrIyZWVlyTAMeTweFRcXq6GhQW63W3PnzlVubq4Mw1BmZqb69eunKVOm6L777lN2drYCgYDuvvtuxcbyMRoAAAAQLTbDMIxoDyFJgUCIj9pwVklMdGnJlmhPAQBoyR1DpdraI9EeA+gw7brVBwAAAMCZj/AHAAAALIDwBwAAACyA8AcAAAAsgPAHAAAALIDwBwAAACyA8AcAAAAsgPAHAAAALIDwBwAAACyA8AcAAAAsgPAHAAAALIDwBwAAACyA8AcAAAAsgPAHAAAALIDwBwAAACyA8AcAAAAsgPAHAAAALIDwBwAAACzANPzD4bDy8/PldruVk5OjmpqaJusbN25UZmam3G631qxZE3n+qaeektvt1k033aTXXnut4ycHAAAA0GoOswNKSkrk9/tVVFSkyspKFRYWavny5ZKkQCCgBQsWaO3aterRo4cmTZqkESNG6Msvv9S2bdv0yiuvqLGxUatWrTrlFwIAAADgxEzDv6KiQunp6ZKklJQUVVVVRdaqq6s1YMAAxcfHS5LS0tJUXl6uzz77TMnJyZoxY4a8Xq9mz559isYHAAAA0Bqm4e/1euV0OiOP7Xa7gsGgHA6HvF6vXC5XZC0uLk5er1d1dXX67rvvtGLFCu3evVvTp0/Xhg0bZLPZTvg6drtNCQmx7bwcAACAk0N/wCpMw9/pdMrn80Ueh8NhORyOZtd8Pp9cLpcSEhI0aNAgxcTEaNCgQerWrZsOHjyo3r17n/B1QiFD9fUN7bkWoFNJTHSZHwQAiDr6A2eTlvrD9Jd7U1NTVVpaKkmqrKxUcnJyZC0pKUk1NTWqr6+X3+9XeXm5Bg8erLS0NP35z3+WYRj6/vvv1djYqISEhPZfCQAAAIA2MX3HPyMjQ2VlZcrKypJhGPJ4PCouLlZDQ4Pcbrfmzp2r3NxcGYahzMxM9evXT/369dPHH3+s8ePHyzAM5efny263n47rAQAAANAMm2EYRrSHkKRAIMRHbTirJCa6tGRLtKcAALTkjqFSbe2RaI8BdJh23eoDAAAA4MxH+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWYBr+4XBY+fn5crvdysnJUU1NTZP1jRs3KjMzU263W2vWrGmyduDAAQ0fPlzV1dUdOzUAAACAk2Ia/iUlJfL7/SoqKlJeXp4KCwsja4FAQAsWLNCqVau0evVqFRUVqba2NrKWn5+v7t27n7rpAQAAALSKafhXVFQoPT1dkpSSkqKqqqrIWnV1tQYMGKD4+HjFxMQoLS1N5eXlkqSFCxcqKytLffv2PUWjAwAAAGgt0/D3er1yOp2Rx3a7XcFgMLLmcrkia3FxcfJ6vVq/fr3OOeecyA8MAAAAAKLLYXaA0+mUz+eLPA6Hw3I4HM2u+Xw+uVwurV69WjabTVu2bNGOHTs0Z84cLV++XImJiSd8HbvdpoSE2PZcCwAAwEmjP2AVpuGfmpqqTZs2afTo0aqsrFRycnJkLSkpSTU1Naqvr1dsbKzKy8uVm5urUaNGRY7JyclRQUFBi9EvSaGQofr6hnZcCtC5JCa6zA8CAEQd/YGzSUv9YRr+GRkZKisrU1ZWlgzDkMfjUXFxsRoaGuR2uzV37lzl5ubKMAxlZmaqX79+HTo8AAAAgPazGYZhRHsISQoEQvzEjbNKYqJLS7ZEewoAQEvuGCrV1h6J9hhAh2npHX++wAsAAACwAMIfAAAAsADCHwAAALAAwh8AAACwAMIfAAAAsADCHwAAALAAwh8AAACwAMIfAAAAsADCHwAAALAAwh8AAACwAMIfAAAAsADCHwAAALAAwh8AAACwAMIfAAAAsADCHwAAALAAwh8AAACwAMIfAAAAsADCHwAAALAAh9kB4XBYBQUF2rlzp2JiYjRv3jwNHDgwsr5x40YtXbpUDodDmZmZmjhxogKBgO677z59++238vv9mj59uq699tpTeiEAAAAATsw0/EtKSuT3+1VUVKTKykoVFhZq+fLlkqRAIKAFCxZo7dq16tGjhyZNmqQRI0aotLRUCQkJeuSRR1RXV6dx48YR/gAAAEAUmYZ/RUWF0tPTJUkpKSmqqqqKrFVXV2vAgAGKj4+XJKWlpam8vFyjRo3S9ddfHznObrd39NwAAAAAToJp+Hu9Xjmdzshju92uYDAoh8Mhr9crl8sVWYuLi5PX61VcXFxk75133qmZM2eaDmK325SQENuGSwAAAGg7+gNWYRr+TqdTPp8v8jgcDsvhcDS75vP5Ij8I7NmzRzNmzFB2drbGjh1rOkgoZKi+vuGkLwDorBITXeYHAQCijv7A2aSl/jD9qz6pqakqLS2VJFVWVio5OTmylpSUpJqaGtXX18vv96u8vFyDBw/W/v37NW3aNM2aNUvjx4/vgEsAAAAA0B6m7/hnZGSorKxMWVlZMgxDHo9HxcXFamhokNvt1ty5c5WbmyvDMJSZmal+/fpp3rx5Onz4sJYtW6Zly5ZJklauXKnu3buf8gsCAAAAcDybYRhGtIeQpEAgxEdtOKskJrq0ZEu0pwAAtOSOoVJt7ZFojwF0mHbd6gMAAADgzEf4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWQPgDAAAAFkD4AwAAABZA+AMAAAAWYBr+4XBY+fn5crvdysnJUU1NTZP1jRs3KjMzU263W2vWrGnVHgAAAACnl2n4l5SUyO/3q6ioSHl5eSosLIysBQIBLViwQKtWrdLq1atVVFSk2traFvcAAAAAOP0cZgdUVFQoPT1dkpSSkqKqqqrIWnV1tQYMGKD4+HhJUlpamsrLy1VZWXnCPQAAAABOP9Pw93q9cjqdkcd2u13BYFAOh0Ner1culyuyFhcXJ6/X2+KeE+na1a7ERNcJ14Ez0R1Doz0BAMAM/QGrML3Vx+l0yufzRR6Hw+FIwP/nms/nk8vlanEPAAAAgNPPNPxTU1NVWloqSaqsrFRycnJkLSkpSTU1Naqvr5ff71d5ebkGDx7c4h4AAAAAp5/NMAyjpQPC4bAKCgr0xRdfyDAMeTweffbZZ2poaJDb7dbGjRu1dOlSGYahzMxMTZ48udk9SUlJp+uaAAAAAPwH0/AHAAAAcObjC7wAAAAACyD8AQAAAAsg/AEAAAALIPwBAAAACyD8AQAAAAsg/AEAAAALIPwBAM1avHixJOmrr77S+PHjNWzYMGVlZemrr76K8mQAgLZwRHsAAEDntG3bNklSYWGh7r33XqWlpenzzz/XQw89pOeeey7K0wEAThbv+AMAWtTY2Ki0tDRJ0iWXXKJgMBjliQAAbUH4AwCa9fXXX2v69Onyer169913FQgE9Mwzzyg2NjbaowEA2oBbfQAAzSotLdU333yjqqoq9e7dW6FQSPX19XrkkUeiPRoAoA1shmEY0R4CANA5HTt2TDt37lRDQ4N69eql5ORk2Wy2aI8FAGgD3vEHADTrgw8+0BNPPKGBAwdq27Ztuvzyy7V3717NmjVLV1xxRbTHAwCcJO7xBwA069lnn9Wrr76qxYsX6/XXX1dsbKyeffZZLVq0KNqjAQDagPAHADTryJEjkdt6unXrpm+++UZOp1N+vz/KkwEA2oJbfQAAzRo9erQmTJign/70pyovL1d2drZWrlypSy+9NNqjAQDagF/uBQCc0BdffKHq6molJycrKSlJBw8e1DnnnBPtsQAAbUD4AwBOqLi4WOXl5Tp69Kh69eqlq666SsOGDYv2WACANiD8AQDNmjdvnlwulwYPHqxNmzapd+/eqq+vl9Pp1MyZM6M9HgDgJHGPPwCgWZ9//rleeuklSdKwYcN02223acWKFZo0aVKUJwMAtAV/1QcA0Kxjx47pk08+kSSVl5crGAyqtrZWjY2NUZ4MANAW3OoDAGjW3/72N+Xn5+v777/XBRdcII/Ho82bN2vgwIEaMWJEtMcDAJwkwh8AAACwAO7xBwA0KycnR4FAoNm1V1999TRPAwBoL97xBwA065NPPtH999+vpUuXym63N1k777zzojQVAKCtCH8AwAk988wzGjhwoDIyMqI9CgCgnQh/AAAAwAL4c54AAACABRD+AAAAgAUQ/gCA4+zatUs33nij5syZ0+ZzfPTRR7r77rs7cCoAQHsQ/gCA42zdulVDhw7VwoULoz0KAKCD8Hf8AaATy8vL09ixY3XNNdeourpaCxcuVJ8+fVRTU6NwOKyZM2dqyJAh2rBhg15++eXIvscff1x///vf9eijj6pr166aOHGifvnLXzb7GoWFhaqoqJAk/fznP1dGRoaWL1+uo0ePasCAAcrOzj5uz+7duzV9+nQlJCRo2LBhGjZsmObNmydJSkhIkMfjaXL8O++8o+eff15dunRRWlqa7rnnHu3du1cFBQU6duyY6uvrNWPGDF133XVavHix/vKXvygcDmvMmDGaMmWKdu7cedz5XS5XR/wTA4BlEP4A0IlNmDBBr7zyiq655hqtXbtWgwcPltfrlcfjUV1dnW6++Wa9/fbb+vrrr/X000+rR48eys/P14cffqh+/frp2LFjeu211054/k2bNmn37t1as2aNgsGgsrOzdeWVV+rWW2/Vl19+2Wz0/6/a2lqtW7dOMTExmjhxojwejy6++GK99tpreuaZZ3TVVVdJkurr67VkyRKtW7dOPXr00KxZs1RWViabzaapU6dqyJAh2rp1q5YsWaLrrrtOb7zxhl566SX169dP69evlyT9/ve/P+783EYEACeH8AeATmzIkCGaP3++Dhw4oLKyMg0ePFhbt27Vp59+KkkKBoOqq6tT7969NWfOHMXFxenLL79USkqKJOmiiy5q8fzV1dW64oorZLPZ1LVrV11++eWqrq5u1Wznn3++YmJiIud58MEHJUmBQKDJ637zzTc6ePCgbr31VkmSz+fTrl27lJaWpuXLl2vt2rWy2WwKBoOSpEWLFmnRokXav3+/0tPTTc8PAGgdwh8AOjGbzaaxY8dq/vz5uvrqq9W/f3/1799ft912m44eParly5fL4XDoiSee0AcffCBJmjp1qv73K1q6dGn5V7mSkpK0fv16TZkyRYFAQNu2bdO4ceO0c+dO09n+/dwXXXSRFi5cqHPPPVcVFRWqra2NrJ1//vnq37+/Vq1apa5du2r9+vX60Y9+pMcff1wTJkzQ8OHDtW7dOr3++uvy+/3asGGDFi1aJMMwNGbMGI0ZM6bF8wMAWofwB4BO7qabbtI111yjN998UxdccIHuv/9+3XzzzfJ6vcrOzpbT6VRqaqrGjRun2NhY9ezZU/v27dP5559veu4RI0bor3/9q9xutwKBgEaNGqXLLrusVeH/7woKCjRnzhyFQiFJ0vz587Vv3z5J0jnnnKMpU6YoJydHoVBI5513nm644QaNGjVK8+fP11NPPaX+/furrq5OMTExio+P14033qj4+HhdffXVOvfcc5s9PwDg5PDNvQDQyX3//feaPXu2XnjhhWiPAgA4g/GOPwB0Yu+++66efPLJdr/D/eSTT+qjjz467nmPx6MLLrjghPuKior0pz/96bjnf/vb32rw4MHtmgkAcHrxjj8AAABgAXyBFwAAAGABhD8AAABgAYQ/AAAAYAGEPwAAAGABhD8AAABgAYQ/AAAAYAH/H7UM+ZGodsyGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for platform in top_platforms_list:\n",
    "    games[games['platform'] == platform].pivot_table(index='year_of_release', values='total_sales', aggfunc='sum').plot(\n",
    "        kind='bar', figsize=(13,4))\n",
    "    plt.title(platform)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "5e0e6e8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "top_3_platforms = games.pivot_table(index='platform', values='total_sales', aggfunc='sum').sort_values(\n",
    "    by='total_sales', ascending=False).head(3)\n",
    "top_3_platforms = top_3_platforms.reset_index().rename_axis(None, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8a0088a2",
   "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>platform</th>\n",
       "      <th>total_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ps2</td>\n",
       "      <td>1255.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>x360</td>\n",
       "      <td>971.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ps3</td>\n",
       "      <td>939.65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  platform  total_sales\n",
       "0      ps2      1255.77\n",
       "1     x360       971.42\n",
       "2      ps3       939.65"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_3_platforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a31c3938",
   "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>name</th>\n",
       "      <th>platform</th>\n",
       "      <th>year_of_release</th>\n",
       "      <th>genre</th>\n",
       "      <th>publisher</th>\n",
       "      <th>na_sales</th>\n",
       "      <th>eu_sales</th>\n",
       "      <th>jp_sales</th>\n",
       "      <th>other_sales</th>\n",
       "      <th>global_sales</th>\n",
       "      <th>critic_score</th>\n",
       "      <th>critic_count</th>\n",
       "      <th>user_score</th>\n",
       "      <th>user_count</th>\n",
       "      <th>developer</th>\n",
       "      <th>rating</th>\n",
       "      <th>total_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>kinect adventures!</td>\n",
       "      <td>x360</td>\n",
       "      <td>2010</td>\n",
       "      <td>misc</td>\n",
       "      <td>Microsoft Game Studios</td>\n",
       "      <td>15.00</td>\n",
       "      <td>4.89</td>\n",
       "      <td>0.24</td>\n",
       "      <td>1.69</td>\n",
       "      <td>21.81</td>\n",
       "      <td>61.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>106.0</td>\n",
       "      <td>Good Science Studio</td>\n",
       "      <td>e</td>\n",
       "      <td>21.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>grand theft auto v</td>\n",
       "      <td>ps3</td>\n",
       "      <td>2013</td>\n",
       "      <td>action</td>\n",
       "      <td>Take-Two Interactive</td>\n",
       "      <td>7.02</td>\n",
       "      <td>9.09</td>\n",
       "      <td>0.98</td>\n",
       "      <td>3.96</td>\n",
       "      <td>21.04</td>\n",
       "      <td>97.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>3994.0</td>\n",
       "      <td>Rockstar North</td>\n",
       "      <td>m</td>\n",
       "      <td>21.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>grand theft auto v</td>\n",
       "      <td>x360</td>\n",
       "      <td>2013</td>\n",
       "      <td>action</td>\n",
       "      <td>Take-Two Interactive</td>\n",
       "      <td>9.66</td>\n",
       "      <td>5.14</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.41</td>\n",
       "      <td>16.27</td>\n",
       "      <td>97.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3711.0</td>\n",
       "      <td>Rockstar North</td>\n",
       "      <td>m</td>\n",
       "      <td>16.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pokemon black/pokemon white</td>\n",
       "      <td>ds</td>\n",
       "      <td>2010</td>\n",
       "      <td>role-playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>5.51</td>\n",
       "      <td>3.17</td>\n",
       "      <td>5.65</td>\n",
       "      <td>0.80</td>\n",
       "      <td>15.14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>call of duty: modern warfare 3</td>\n",
       "      <td>x360</td>\n",
       "      <td>2011</td>\n",
       "      <td>shooter</td>\n",
       "      <td>Activision</td>\n",
       "      <td>9.04</td>\n",
       "      <td>4.24</td>\n",
       "      <td>0.13</td>\n",
       "      <td>1.32</td>\n",
       "      <td>14.73</td>\n",
       "      <td>88.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>8713.0</td>\n",
       "      <td>Infinity Ward, Sledgehammer Games</td>\n",
       "      <td>m</td>\n",
       "      <td>14.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16707</th>\n",
       "      <td>strawberry nauts</td>\n",
       "      <td>psv</td>\n",
       "      <td>2016</td>\n",
       "      <td>adventure</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16711</th>\n",
       "      <td>aiyoku no eustia</td>\n",
       "      <td>psv</td>\n",
       "      <td>2014</td>\n",
       "      <td>misc</td>\n",
       "      <td>dramatic create</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16714</th>\n",
       "      <td>samurai warriors: sanada maru</td>\n",
       "      <td>ps3</td>\n",
       "      <td>2016</td>\n",
       "      <td>action</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16716</th>\n",
       "      <td>haitaka no psychedelica</td>\n",
       "      <td>psv</td>\n",
       "      <td>2016</td>\n",
       "      <td>adventure</td>\n",
       "      <td>Idea Factory</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16718</th>\n",
       "      <td>winning post 8 2016</td>\n",
       "      <td>psv</td>\n",
       "      <td>2016</td>\n",
       "      <td>simulation</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5327 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 name platform  year_of_release         genre  \\\n",
       "14                 kinect adventures!     x360             2010          misc   \n",
       "16                 grand theft auto v      ps3             2013        action   \n",
       "23                 grand theft auto v     x360             2013        action   \n",
       "27        pokemon black/pokemon white       ds             2010  role-playing   \n",
       "29     call of duty: modern warfare 3     x360             2011       shooter   \n",
       "...                               ...      ...              ...           ...   \n",
       "16707                strawberry nauts      psv             2016     adventure   \n",
       "16711                aiyoku no eustia      psv             2014          misc   \n",
       "16714   samurai warriors: sanada maru      ps3             2016        action   \n",
       "16716         haitaka no psychedelica      psv             2016     adventure   \n",
       "16718             winning post 8 2016      psv             2016    simulation   \n",
       "\n",
       "                    publisher  na_sales  eu_sales  jp_sales  other_sales  \\\n",
       "14     Microsoft Game Studios     15.00      4.89      0.24         1.69   \n",
       "16       Take-Two Interactive      7.02      9.09      0.98         3.96   \n",
       "23       Take-Two Interactive      9.66      5.14      0.06         1.41   \n",
       "27                   Nintendo      5.51      3.17      5.65         0.80   \n",
       "29                 Activision      9.04      4.24      0.13         1.32   \n",
       "...                       ...       ...       ...       ...          ...   \n",
       "16707                 Unknown      0.00      0.00      0.01         0.00   \n",
       "16711         dramatic create      0.00      0.00      0.01         0.00   \n",
       "16714              Tecmo Koei      0.00      0.00      0.01         0.00   \n",
       "16716            Idea Factory      0.00      0.00      0.01         0.00   \n",
       "16718              Tecmo Koei      0.00      0.00      0.01         0.00   \n",
       "\n",
       "       global_sales  critic_score  critic_count  user_score  user_count  \\\n",
       "14            21.81          61.0          45.0         6.3       106.0   \n",
       "16            21.04          97.0          50.0         8.2      3994.0   \n",
       "23            16.27          97.0          58.0         8.1      3711.0   \n",
       "27            15.14           NaN           NaN         NaN         NaN   \n",
       "29            14.73          88.0          81.0         3.4      8713.0   \n",
       "...             ...           ...           ...         ...         ...   \n",
       "16707          0.01           NaN           NaN         NaN         NaN   \n",
       "16711          0.01           NaN           NaN         NaN         NaN   \n",
       "16714          0.01           NaN           NaN         NaN         NaN   \n",
       "16716          0.01           NaN           NaN         NaN         NaN   \n",
       "16718          0.01           NaN           NaN         NaN         NaN   \n",
       "\n",
       "                               developer rating  total_sales  \n",
       "14                   Good Science Studio      e        21.82  \n",
       "16                        Rockstar North      m        21.05  \n",
       "23                        Rockstar North      m        16.27  \n",
       "27                                   NaN    NaN        15.13  \n",
       "29     Infinity Ward, Sledgehammer Games      m        14.73  \n",
       "...                                  ...    ...          ...  \n",
       "16707                                NaN    NaN         0.01  \n",
       "16711                                NaN    NaN         0.01  \n",
       "16714                                NaN    NaN         0.01  \n",
       "16716                                NaN    NaN         0.01  \n",
       "16718                                NaN    NaN         0.01  \n",
       "\n",
       "[5327 rows x 17 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decline_period_data = games[games['year_of_release'] > 2009]\n",
    "decline_period_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "b8d830ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_of_top_6 = ['ps4','xone','pc','wiiu','3ds', 'psv']\n",
    "games_top_6_platforms = decline_period_data[decline_period_data['platform'].isin(['ps4','xone','pc','wiiu','3ds', 'psv'])]\n",
    "games_top_6_platforms = games_top_6_platforms[games_top_6_platforms['total_sales']<1.4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "b33988de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    2054.000000\n",
       "mean        0.206573\n",
       "std         0.271136\n",
       "min         0.010000\n",
       "25%         0.030000\n",
       "50%         0.090000\n",
       "75%         0.260000\n",
       "max         1.390000\n",
       "Name: total_sales, dtype: float64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games_top_6_platforms['total_sales'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "3201e6ae",
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>platform</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3ds</th>\n",
       "      <td>480.0</td>\n",
       "      <td>0.215146</td>\n",
       "      <td>0.266073</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.2625</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pc</th>\n",
       "      <td>469.0</td>\n",
       "      <td>0.171002</td>\n",
       "      <td>0.237493</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.2000</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ps4</th>\n",
       "      <td>327.0</td>\n",
       "      <td>0.257890</td>\n",
       "      <td>0.298184</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.3600</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psv</th>\n",
       "      <td>428.0</td>\n",
       "      <td>0.114159</td>\n",
       "      <td>0.168307</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.1300</td>\n",
       "      <td>1.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wiiu</th>\n",
       "      <td>135.0</td>\n",
       "      <td>0.294222</td>\n",
       "      <td>0.302792</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.4200</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xone</th>\n",
       "      <td>215.0</td>\n",
       "      <td>0.315907</td>\n",
       "      <td>0.364930</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.4550</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          count      mean       std   min   25%   50%     75%   max\n",
       "platform                                                           \n",
       "3ds       480.0  0.215146  0.266073  0.01  0.04  0.11  0.2625  1.39\n",
       "pc        469.0  0.171002  0.237493  0.01  0.03  0.07  0.2000  1.36\n",
       "ps4       327.0  0.257890  0.298184  0.01  0.05  0.12  0.3600  1.32\n",
       "psv       428.0  0.114159  0.168307  0.01  0.02  0.05  0.1300  1.31\n",
       "wiiu      135.0  0.294222  0.302792  0.01  0.07  0.19  0.4200  1.30\n",
       "xone      215.0  0.315907  0.364930  0.01  0.05  0.16  0.4550  1.39"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games_top_6_platforms.groupby('platform')['total_sales'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "caf3fa4d",
   "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>genre</th>\n",
       "      <th>total_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>action</td>\n",
       "      <td>140.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>role-playing</td>\n",
       "      <td>64.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shooter</td>\n",
       "      <td>45.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>sports</td>\n",
       "      <td>43.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>misc</td>\n",
       "      <td>25.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>adventure</td>\n",
       "      <td>18.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>platform</td>\n",
       "      <td>17.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>simulation</td>\n",
       "      <td>17.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>racing</td>\n",
       "      <td>16.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>fighting</td>\n",
       "      <td>15.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>strategy</td>\n",
       "      <td>12.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>puzzle</td>\n",
       "      <td>5.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           genre  total_sales\n",
       "0         action       140.94\n",
       "1   role-playing        64.68\n",
       "2        shooter        45.27\n",
       "3         sports        43.31\n",
       "4           misc        25.83\n",
       "5      adventure        18.22\n",
       "6       platform        17.95\n",
       "7     simulation        17.60\n",
       "8         racing        16.55\n",
       "9       fighting        15.48\n",
       "10      strategy        12.51\n",
       "11        puzzle         5.96"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "distr_genre = games_top_6_platforms.pivot_table(index='genre', values='total_sales', aggfunc='sum').sort_values(\n",
    "    by='total_sales', ascending=False).reset_index().rename_axis(None, axis=1)\n",
    "distr_genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "ede1976d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Продажи')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.title('Распределение игр по жанрам ',fontsize=15)\n",
    "sns.barplot(data=distr_genre, x='genre', y='total_sales')\n",
    "plt.xlabel('Жанры игр',fontsize=12)\n",
    "plt.ylabel('Продажи',fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "5686d499",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Функция для создания сводбных таблиц за весь период\n",
    "def user_portrait(row, title):\n",
    "    fig, axes = plt.subplots(1, 3, figsize=(20, 4))\n",
    "    for pivot, ax in zip(list(['platform','genre','rating']),axes):\n",
    "        ppivot = games.pivot_table(index=pivot, values=row, aggfunc='sum'\n",
    "                  ).sort_values(by=row, ascending=False).reset_index().rename_axis(None, axis=1).head(5)\n",
    "        display(ppivot)\n",
    " \n",
    "        sns.set_palette(\"Blues\")\n",
    "        sns.barplot(data=ppivot, x=pivot, y=row, ax=ax)\n",
    "        fig.suptitle(title, fontsize=15)\n",
    "        \n",
    "\n",
    "plt.show()\n",
    "sns.set()\n",
    "\n",
    "#Функция для создания сводных таблиц за последний год\n",
    "def user_portrait_2016(row, title):\n",
    "    temp = games[games['year_of_release']>2015]\n",
    "    fig, axes = plt.subplots(1, 3, figsize=(20, 4))\n",
    "    for pivot, ax in zip(list(['platform','genre','rating']), axes):\n",
    "        ppivot = temp.pivot_table(index=pivot, values=row, aggfunc='sum').sort_values(by=row, ascending=False).reset_index().rename_axis(None, axis=1).head(5)\n",
    "        display(ppivot)\n",
    "\n",
    "        sns.set_palette(\"BuGn_r\")\n",
    "        sns.barplot(data=ppivot, x=pivot, y=row, ax=ax)\n",
    "        fig.suptitle(title, fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "67160635",
   "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>platform</th>\n",
       "      <th>na_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>x360</td>\n",
       "      <td>602.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ps2</td>\n",
       "      <td>583.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>wii</td>\n",
       "      <td>496.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ps3</td>\n",
       "      <td>393.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ds</td>\n",
       "      <td>382.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  platform  na_sales\n",
       "0     x360    602.47\n",
       "1      ps2    583.84\n",
       "2      wii    496.90\n",
       "3      ps3    393.49\n",
       "4       ds    382.67"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>genre</th>\n",
       "      <th>na_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>action</td>\n",
       "      <td>879.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sports</td>\n",
       "      <td>684.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shooter</td>\n",
       "      <td>592.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>platform</td>\n",
       "      <td>445.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>misc</td>\n",
       "      <td>407.27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      genre  na_sales\n",
       "0    action    879.01\n",
       "1    sports    684.43\n",
       "2   shooter    592.24\n",
       "3  platform    445.50\n",
       "4      misc    407.27"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>rating</th>\n",
       "      <th>na_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e</td>\n",
       "      <td>1293.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t</td>\n",
       "      <td>759.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>m</td>\n",
       "      <td>748.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e10+</td>\n",
       "      <td>353.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>k-a</td>\n",
       "      <td>2.56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating  na_sales\n",
       "0      e   1293.26\n",
       "1      t    759.75\n",
       "2      m    748.48\n",
       "3   e10+    353.32\n",
       "4    k-a      2.56"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "user_portrait('na_sales','Топ 5 платформ, жанров и рейтингов за весь период')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "e5b31573",
   "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>platform</th>\n",
       "      <th>na_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ps4</td>\n",
       "      <td>21.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>xone</td>\n",
       "      <td>14.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3ds</td>\n",
       "      <td>4.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>wiiu</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pc</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  platform  na_sales\n",
       "0      ps4     21.49\n",
       "1     xone     14.27\n",
       "2      3ds      4.14\n",
       "3     wiiu      2.10\n",
       "4       pc      1.36"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>genre</th>\n",
       "      <th>na_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>shooter</td>\n",
       "      <td>16.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>action</td>\n",
       "      <td>9.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>sports</td>\n",
       "      <td>7.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>role-playing</td>\n",
       "      <td>5.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fighting</td>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          genre  na_sales\n",
       "0       shooter     16.24\n",
       "1        action      9.29\n",
       "2        sports      7.54\n",
       "3  role-playing      5.89\n",
       "4      fighting      1.84"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>rating</th>\n",
       "      <th>na_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>m</td>\n",
       "      <td>15.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t</td>\n",
       "      <td>8.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>e</td>\n",
       "      <td>8.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e10+</td>\n",
       "      <td>3.81</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating  na_sales\n",
       "0      m     15.67\n",
       "1      t      8.95\n",
       "2      e      8.24\n",
       "3   e10+      3.81"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "user_portrait_2016('na_sales','Топ 5 платформ, жанров и рейтингов за последний год')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3fe35af8",
   "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>platform</th>\n",
       "      <th>eu_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ps2</td>\n",
       "      <td>339.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ps3</td>\n",
       "      <td>330.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>x360</td>\n",
       "      <td>270.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>wii</td>\n",
       "      <td>262.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ps</td>\n",
       "      <td>213.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  platform  eu_sales\n",
       "0      ps2    339.29\n",
       "1      ps3    330.29\n",
       "2     x360    270.76\n",
       "3      wii    262.21\n",
       "4       ps    213.61"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>genre</th>\n",
       "      <th>eu_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>action</td>\n",
       "      <td>519.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sports</td>\n",
       "      <td>376.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shooter</td>\n",
       "      <td>317.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>racing</td>\n",
       "      <td>236.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>misc</td>\n",
       "      <td>212.74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     genre  eu_sales\n",
       "0   action    519.13\n",
       "1   sports    376.79\n",
       "2  shooter    317.34\n",
       "3   racing    236.51\n",
       "4     misc    212.74"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>rating</th>\n",
       "      <th>eu_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e</td>\n",
       "      <td>710.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>m</td>\n",
       "      <td>483.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>t</td>\n",
       "      <td>427.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e10+</td>\n",
       "      <td>188.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ao</td>\n",
       "      <td>0.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating  eu_sales\n",
       "0      e    710.25\n",
       "1      m    483.97\n",
       "2      t    427.03\n",
       "3   e10+    188.52\n",
       "4     ao      0.61"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABJQAAAEmCAYAAAA0kMqcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAABdYElEQVR4nO3deVyU5f7/8ffAIO65NIihx0xNS1NIMykDl3IBSSXLJTWtTEsxl9wALc09ThapdSyzNDOJVNAQO5lRhktyzKVIPSoct1jcUdnn94c/5iuxyKAwgK/n48Hjwb3M3J/r4p75MJ+5r+s2mM1mswAAAAAAAIAisrN1AAAAAAAAAChfKCgBAAAAAADAKhSUAAAAAAAAYBUKSgAAAAAAALAKBSUAAAAAAABYhYISAAAAAAAArEJBCQBw20ydOlXNmzcv8KdLly4lctyxY8fmOdawYcNK5Fgl4cEHH9S6detsHQZsqHfv3tq7d69SU1Pl6+urP//809YhAQAAFMpo6wAAABVHQECAJk6cKEk6c+aMnn32WS1dulStW7eWJNnb25fIcY8cOaKJEyeqb9++lnWVKlUqkWMBJWHs2LEaPny40tPT9fTTT6tFixa2DgkAAKBQFJQAALdNjRo1VKNGDUlSWlqaJOmuu+6SyWQqsWOmp6frf//7n1q3bl2ixwFKUteuXbVz505dvXpVderUsXU4AAAAN8WQNwBAqTp//rxmzJihJ554Qm3atNELL7ygP/74w7J9yJAh+Q6XK2hI2LFjx5SZmakmTZoUOYaChuSdPHlSkrRr166bDtnbtWuXBg8eLDc3N7Vq1Uq9e/fWTz/9VOjz57RhzZo1euKJJ+Tu7q4lS5ZIkmJjY9WvXz+1adNGL730khISEizHOn36tMaPHy93d3e5ubnptdde04kTJyzbu3TpomXLlumFF15Q69at5eXlpe+++86y/YMPPlDz5s01aNCgXP2wadMmNW/eXEOGDClSv7399tt6/PHHtXPnTsvzPvXUU5Kka9eu6fnnn9ejjz4qSbpw4YKmTZumjh07qmXLlurYsaMWLFig7OzsPI+9Mc6cdSdPnlTz5s21ceNG9ezZU23atNGQIUN06NAhy/6ZmZn6+OOP1a1bNz300EPy8fFRREREnnY3b95cLVq00COPPKI33nhDqamp+bZv3bp1evDBB3OtGzp0qJo3b15gn9ys7yXp+++/19NPP62HHnpIPXr00PLlyy39kNPOPXv2qHLlyqpTp44WL16s5s2ba9euXbnakN+52KVLFy1dutRyrN27d6t58+b64IMPrOrnG3++/vprq16nDz74oDp27Khly5YV2E8JCQkaMWKE3Nzc1LFjR7333nuWbTc7V/5u3bp1ueJ1c3PTK6+8onPnzhWpzyUpOTlZEydOVPv27fXII49o7NixSkxMlHR96K41Q2YLGuqb8ze4WTxFOdeHDBmigIAAy3JcXJxatWqlqVOnWtbt2bPH8p702GOPafbs2bp27Zpl+6pVq/LE+PfzHQAAa1BQAgCUmqysLL344os6cOCA3nvvPYWEhKh27doaPHiwpZgjSb169dL27dstP4UNlTt8+LAcHBz0wQcfqFOnTurevbsWLVpkuUKqIDNmzLA8/40fyG+0fv16yz4jRoywrD9z5oxGjBihtm3bKjw8XKGhoapfv76mTJmi9PR0y2NefPFFubi4WJa9vLy0Z88ezZo1S2PGjNHKlSu1Z88eZWVlad26dRo9erS++uorywdsSUpJSdHAgQN18eJFffLJJ1q1apUuX76swYMH6/Lly5aYPvjgAz3++OPasGGDevbsqbFjxyomJsayvVatWtq/f7/Onj1rWfftt9/K0dGx0H660fjx4zVixAi9/fbbeT7sf/bZZ5Kk8PBwSdKUKVN09OhRffjhh4qMjNSrr76qFStW6Icffijy8SRp/vz5GjdunEJDQ1WjRg0NHz7c0u758+dr+fLlmjBhgsLDw+Xt7a0JEyZoy5Ytlsfn9P+PP/6od999V1u2bNH69euLdOzIyEjt2rXrpvsV1vdRUVF64403NHToUH377beaNGmSVq5cWeA5d/r0aX3yySeW5RdffNFy/kj/d96GhobmeWxWVpbmzJlTpLb93dKlSy3H8fb2tup1+t1332nYsGH65z//qaNHj+b7/JMnT1ZqaqpCQ0O1YMECffLJJ5a/U3HOFXt7e23fvl0//fSTPvnkE/3+++/69NNPJd28zzMzM/Xiiy/q5MmTWrZsmb744gslJydr7Nixxeo7SWrXrl2u9ywXFxfLtqKeA4Wd6383b948ZWRkWJb37dunYcOG6aGHHlJoaKjmzZunrVu3avz48ZZ9rl27Ji8vL0uM/v7+xW4vAAASBSUAQCnavn27/vjjD7377rtq27atmjdvroULF6pmzZpavXq1Zb/KlSvLZDJZfgrz3//+V5LUuHFj/etf/9KYMWMUGhqqGTNmFPq46tWrW57/rrvuynefOnXqWPapWrWqZX1GRoZef/11jRs3Tg0bNlSLFi00bNgwnTt3TmfPns31GHt7e8ty5cqVtXr1aj3xxBPq37+/mjVrZplzqnfv3urcubMeeOABBQYG6pdfftGxY8cUFhamS5cu6d1331XLli3VqlUrvf/++7p48aKleCNJnTp10iuvvKL77rtPfn5+atu2ba4+rVmzptzc3Cwf0i9duqSdO3eqY8eOhfbT3/ts8ODBSk1N1VdffWVZf+rUKX366acaM2aM6tWrJ0l64oknNGfOHD300ENq2LChnn/+edWvXz/XVRdFMWrUKHXv3l3NmjXTggULdO3aNX377bdKSUnRmjVrNH78ePXo0UONGzfWqFGj1KNHj1xXyuT0v7Ozs+655x4ZDAbVrFnzpsdNS0vTwoUL1b1795vuW1jff/TRRxo4cKD69eunf/zjH+ratasmTpyojz/+ON8rcBYuXCgPDw/LcrVq1XK9DnLO2/yGxa1du1b29vZq0KDBTWP+u5yhqSaTSb/++qtVr9MGDRqobt26srOzU/Xq1fN9/nfeeUdLlixRkyZNVL9+fRmNRqWnp0sq/rliMplUr149NWzYMNff9WZ9vmPHDh06dEhBQUFydXVV8+bNNXv2bLVr1+6mheiCODg45HrPurEIXtRzoKBz/e+ioqL0559/ytXV1bLu008/VatWrTRlyhQ1adJEnp6eeuutt7Rt2zYdOXJE0vXidL169Swx5gxPBgCguJhDCQBQag4fPqzatWurcePGlnWVKlVS69atLR96rDVu3Di9+OKLqlWrlqTrw83s7e01fvx4TZ06VbVr174doefyj3/8Q3369NHnn3+uQ4cOKT4+XrGxsZKuXyVSmKNHj6pTp06W5aZNm0pSriF7OcNQjh07piNHjui+++6ztE+6Xuhq0qSJDh8+bFn3yCOP5DpOmzZtLEPwcjz55JPaunWrnn32WX333Xdq166dateuXeBVEPkxGo1asGCBhg8frszMTJnNZnXt2lWDBw+Wu7u7Zb+BAwdq69at+vrrrxUXF6dDhw7pr7/+yvUB+sSJE3Jzc7MsZ2RkqH79+rmOd2O7atSoYWl3zlDHhx9+OM/+N17ZknOM7OxspaamysXFRZ07d75pOz/++GM1btxYXbt2zXXFU34K6/vY2FgdOHAgVwEuJ5ZTp07JYDBY1u/evVu//vqrPvvss5se8+8uXLig4OBgLV26VFOmTMm1rSj9fKOivk43bNigiIgIZWZmKj09Xd27d7cUFP/OyclJktSzZ08dO3ZMTZo0sRTrinKu/F1WVpbc3NxkNpt17do11ahRQ71795Z08z4/fPiw6tSpo4YNG1q233fffXrjjTcsy7t375abm5scHBxUv3599e7dW8OHD8/19yqqop4DBZ3rN8rIyNC8efM0efJkff3115b1R44ckaenZ65927VrZ9nWrFkznThxIlcRCgCAW0VBCQBQagoaXpWdnS2jsXgpyc7OLlexRZLuv/9+SdJff/1VIgWlI0eOaNCgQWrTpo3c3d3l5eWlzMxMjRo16qaPNRqNuYaq5FzJcONd6XKKUgaDodA+c3BwyPW8f9/+9w+/Tz75pN59911dvXpV3377rfr06aPdu3ffNOYbpaamatasWerSpYuqV6+u6OhojRw5UnPnzlX37t31yCOPyGw265VXXtHx48fl4+Oj3r17q3Xr1nrhhRdyPVf9+vUtQ+Wk63O8REVF5drnxjbmtMvOzq7Au/hlZWXl6oucY5jNZiUmJmrq1Kl655139OabbxbYxjNnzuizzz5TSEiIDhw4cNM+KazvHRwc9PLLL8vHxyfP4+rVq2eZtyc7O1tz5szR+PHji3XlSHBwsDw8PPIU2KSi9fONivo6ffLJJzVhwgRlZWUpNjZWkyZN0ubNm9WzZ88Cn3vZsmWKj4/XxIkT9cknn+jVV18t0rnyd/b29tqwYYPMZrMuXLigWbNmafr06Vq2bNlN+7wo7zWtW7fWggULlJGRoUOHDlmueHzxxRdv+ti/K+o5UNC5fqOVK1fq7rvvlre3d66CUn5/M7PZLOn/zs/Dhw+rX79+VscPAEBBGPIGACg1zZo10/nz53Xs2DHLuvT0dB04cMBypY61Xn/9dY0ePTrXuoMHD6pSpUr6xz/+UaznzPkg9vcPcznWrVun+vXr65NPPtFLL72kJ554wjKJds5jC9K4ceNcQ3ni4uIkKdfcNDlFjCZNmqhp06Y6duyYLly4YNl+7tw5HT9+PNdVTb///nuu4/z22295Jtx1cXHRfffdp/Xr1+u3335T165dC401P//617907tw5zZ07V87OzjIajRowYIB8fX0VGBiojIwM/fe//9X27dv1wQcfaPz48fL29lbt2rWVlJSUq3+MRqMaNWpk+clv6OHBgwctv1+8eFHHjx/XAw88oHvvvVcODg655omSpJiYmFznUs4x7r33XrVv315PPvmk9uzZU2gbFyxYoGeffVb33XdfkfqksL5v2rSp4uLicrXz8OHDWrRoUa7HrF27Vg4ODnrmmWeKdMwbHTlyRJs2bcp1hc2NitLPNyrq67R69epq1KiR7rvvPnl7e+v+++/P8/eQrl89NWXKFJ05c0YNGzZUx44d9fjjj+u3334r8rmSn5y/q6urq3r37m35u96sz5s0aaJz587p1KlTluc6evSoOnToYHkdVq5cWY0aNVLTpk3l7e2tJ554wuria46ingMFnes5zp49q3/9618KDAzM9xh79+7NtS7nb9GkSROdPn1a8fHxua5UAwDgVlFQAgCUmg4dOsjNzU1vvPGGYmJidPjwYU2bNk2XLl1S//79i/Wc3bt319atW7VixQr973//U2RkpBYsWKAXX3xR1apVs/r5Ll68aBlmcuO8STeqU6eOTp06pV9++UWnTp1SWFiY5cNhzrwwBXnhhRe0Y8cOffHFFzp69KjeffddSdLXX3+tHTt2aP/+/Zo9e7Y6deqke++9V08//bTq1KmjCRMm6I8//tDvv/+uCRMmqGbNmvL29rY8b1hYmNauXavjx49r0aJFOnDgQL5XeeRcpeTp6ZnvfDfnzp0rcAhcYmKiVqxYobFjx+bpWz8/PyUlJWnt2rWqWbOmjEajNm/erJMnT2rv3r167bXXlJ6eftP++bt3331X27dv1+HDhzV58mTVrl1bPXv2VOXKlTV8+HC99957ioyMVFxcnJYtW6bvvvtOw4cPtzw+KytLSUlJSkxM1IEDB7Rjx45cQ7n+LisrS3v27MlTpCxMYX3/6quv6ttvv9WyZcsUFxenH3/8UTNmzFDlypVzXWUVERGh6dOnF2tIVUREhF555RXLsLJbVdTXaWpqqpKSkvTXX38pKipK8fHx+fbtXXfdpZiYGE2bNk2HDx/Wjh079Msvv+ihhx66pXMlKSlJSUlJOnTokH744QfLsW/W54899phatmypKVOm6ODBg/rzzz81ffp0NWnSxDL/VEZGhpKSknTq1Clt3bpVO3bsUKtWrYrVn0U9Bwo613Ns27ZN3t7eatGiRZ5jjBgxQgcOHNCCBQt07Ngx/fzzz5o5c6Y8PT3l7OysZcuW6fHHH9eVK1cs/ZbzOr+xWA0AgDUY8gYAKDUGg0GLFy/WvHnzNHLkSMs8KF9++WWu+Uys4eXlpfT0dC1fvlyLFi1S3bp1NXToUI0cObJYzzd58mT98ssv6t+/f4ETDA8dOlRHjx7V+PHjlZWVpSZNmmjmzJmaNm2aDhw4kOvKob9r3bq15s6dq0WLFmnx4sUaMGCAoqKi1KlTJ7399ts6efKkHnvsMc2dO1fS9aEsy5cv1/z58/X888/L3t5e7u7uWr16da7Jpfv27auNGzdq9uzZatasmT7++ON8bwn+1FNPKTg4WL169co3vn79+ql9+/aaP39+nm0ffPCB7rnnnnyvoqlbt65GjBihJUuWqE+fPpo7d64++OADff7556pXr5569uypevXqFWkI2Y2ee+45zZo1S4mJiWrfvr0+//xzS6Hv9ddfl52dnebOnavz58+rSZMmevfdd3N9CD916pRl4vHq1avr4YcfttxBryATJ04s8G+fn8L63sPDQwsXLtSyZcsUHBysOnXqqE+fPrnuviVJffr0UZs2bYp8zBvde++9Nx0iZo2ivk43bdqkTZs2Sbr+9+/du7eee+65fJ/vo48+0ttvv63+/furSpUq6tmzp0aOHKlKlSoV61zJysqy/F2rVKmili1bWl4zN+tzOzs7LV26VHPmzNGQIUNUqVIldezYMdddz/bs2aOOHTvKYDDIZDLJx8cn150erVHUc6Cwc126fqfG119/Pd9j3H///froo4/03nvvadWqVapVq5a8vb01btw4ffLJJ1qzZo0k5TsJv5+fn1atWlWstgEA7mwG882uJwYAACXqwQcf1OzZs+Xr61usx3fp0kX9+vXTa6+9dsux7N+/X998841mzpx5y891K06ePKmuXbtq9erVlsmFy6Lb2fe4M5X0uf7BBx/o1KlT+RaJ161bp/Xr11NQAgAUC0PeAACAxYcffljg1UsAyp+qVasWeMVd5cqVbzqnFgAABWHIGwAAsHj//fcLvIMagPLnpZdeKnCbl5eXvLy8SjEaAEBFwpA3AAAAAAAAWIUhbwAAAAAAALAKBSUAAAAAAABYhYISAAAAAAAArEJBCQAAAAAAAFahoAQAAAAAAACrUFACAAAAAACAVSgoAQAAAAAAwCoUlAAAAAAAAGAVCkoAAAAAAACwCgUlAAAAAAAAWIWCEgAAAAAAAKxCQQkAAAAAAABWoaAEAAAAAAAAq1BQAgAAAAAAgFWMJfnk77//vrZs2SKDwaB+/fpp+PDhmjZtmmJiYlSlShVJ0pgxY/TUU08pNjZWAQEBunLlitq1a6eZM2fKaCzR8AAAAAAAAFAMJVax2b17t3bu3Knw8HBlZmbKy8tLnp6eOnjwoL744gs5OTnl2n/SpEmaPXu2XF1d5e/vr5CQEA0aNKjIxzt//oqys823uxkAUG7Z2RlUu3Y1W4dRZpAnACA38kRu5AkAyO1meaLECkrt27fXypUrZTQalZCQoKysLFWuXFmnT5+Wv7+/EhIS9NRTT2nMmDE6c+aMUlNT5erqKkny9fVVcHCwVQWl7GwzCQAAUCDyBACgMOQJALBOic6h5ODgoODgYHl7e8vd3V2ZmZnq0KGD5s6dq5CQEO3Zs0ehoaFKTEyUyWSyPM5kMikhIaEkQwMAAAAAAEAxlfgkRWPHjtWIESM0atQo7dixQ0uWLLFsGzJkiDZs2KAmTZrIYDBY1pvN5lzLRVG3bvXbFjMAAAAAAAAKVmIFpaNHjyo9PV0PPPCAqlSpom7duikiIkK1atVS9+7dJV0vHBmNRjk7OyspKcny2OTk5DxzLN3M2bMpXKIKADewszNQbAcAAABQIkpsyNvJkycVGBio9PR0paena+vWrXrkkUc0d+5cXbx4URkZGVq7dq2eeuopubi4yNHRUTExMZKksLAweXh4lFRoAAAAAAAAuAUldoWSp6en9u/frz59+sje3l7dunXTmDFjVLt2bQ0cOFCZmZnq1q2bevXqJUkKCgpSYGCgUlJS1LJlSw0dOrSkQgMAAAAAAMAtMJjN5goxTowhbwCQG0PeciNPAEBu5IncyBMAkNvN8kSJT8oNAAAAANb4+uuv9cUXX1iWT548qd69e+vJJ5/UvHnzlJaWpp49e2r8+PGSpNjYWAUEBOjKlStq166dZs6cKaORjzoAUJIq/BVKtetUk9G+xKaKKnWZWdk6f+6KrcMAUA7wzXNu5AkAyK285IkjR45o9OjR+vzzzzVw4ECtWrVK9evX18iRIzV06FB5enqqV69emj17tlxdXeXv769WrVpp0KBBVh0nvzxR0XKERJ4AUHR3/BVKRns7HU9MsXUYt01jp7Kf9AGgPCFPAEDZ9tZbb2n8+PE6ceKEGjVqpIYNG0qSfHx8FBkZqaZNmyo1NVWurq6SJF9fXwUHB1tdUMpPRcsREnkCwO1TscrtAAAAACqM6OhopaamqmfPnkpMTJTJZLJsc3JyUkJCQp71JpNJCQkJtggXAO4oFf4KJQAAAADl01dffaXhw4dLkrKzs2UwGCzbzGazDAZDgeutVR6G/90uJlMNW4cAoAKgoAQAsJkhQ4bo3LlzlolTZ82apStXrjDhKgBA6enp+vXXXzV//nxJkrOzs5KSkizbk5KS5OTklGd9cnKynJycrD5efnMoVdTCS1LSZVuHAKAcuNkcSgx5AwDYhNlsVlxcnMLCwiw/zZs3l7+/v5YuXaqIiAgdPHhQUVFRkqRJkyZpxowZ2rJli8xms0JCQmzcAgBASTp06JDuvfdeVa1aVZLUpk0bHT9+XPHx8crKytKmTZvk4eEhFxcXOTo6KiYmRpIUFhYmDw8PW4YOAHcEvtq9A9SuXVVGo72tw7itMjOzdP78VVuHAeAWHDt2TJL04osv6sKFC3ruued0//33l/qEqwCAsunEiRNydna2LDs6Omr+/Pny8/NTWlqaPD091aNHD0lSUFCQAgMDlZKSopYtW2ro0KG2ChsA7hgUlO4ARqO9ov44beswbivPB++xdQgAbtGlS5fk7u6u6dOnKyMjQ0OHDtXLL7/MhKsAAEmSl5eXvLy8cq1zd3dXeHh4nn1btGih0NDQ0goNACAKSgAAG3Fzc5Obm5tluV+/fgoODlbbtm0t627nhKtMtgoAAADcPhSUAAA2sWfPHmVkZMjd3V3S9SKRi4tLiU24mt9kq1LFLL4w2SqAorjZZKsAABSGSbkBADZx+fJlLVy4UGlpaUpJSdH69es1YcIEJlwFAAAAygGuUAIA2ETnzp21b98+9enTR9nZ2Ro0aJDc3NyYcBUAAAAoBwxmsznv9f/lUGFDGY4nptggopLR2Km61UMZTKYaFXJSboZ0AIVjKENu5AkAyI08kVt+eaKi5QiJPAGg6G6WJxjyBgAAAAAAAKtQUAIAAAAAAIBVKCgBAAAAAADAKhSUAAAAAAAAYBUKSgAAAAAAALAKBSUAAAAAAABYhYISAAAAAAAArFKiBaX3339fXl5e8vb21ooVKyRJ0dHR8vHxUbdu3bRo0SLLvrGxsfL19VX37t0VEBCgzMzMkgwNAAAAAAAAxVRiBaXdu3dr586dCg8P1zfffKNVq1bpzz//lL+/v5YuXaqIiAgdPHhQUVFRkqRJkyZpxowZ2rJli8xms0JCQkoqNAAAAAAAANyCEisotW/fXitXrpTRaNTZs2eVlZWlS5cuqVGjRmrYsKGMRqN8fHwUGRmpU6dOKTU1Va6urpIkX19fRUZGllRoAAAAAAAAuAUlOuTNwcFBwcHB8vb2lru7uxITE2UymSzbnZyclJCQkGe9yWRSQkJCSYYGAAAAAACAYjKW9AHGjh2rESNGaNSoUYqLi5PBYLBsM5vNMhgMys7Ozne9NerWrX7bYi7rTKYatg6hTKAfAAAAAACwjRIrKB09elTp6el64IEHVKVKFXXr1k2RkZGyt7e37JOUlCQnJyc5OzsrKSnJsj45OVlOTk5WHe/s2RRlZ5vzrK+IRYekpMtW7V8R+0Cyvh+AO42dneGOKrYDAAAAKD0lNuTt5MmTCgwMVHp6utLT07V161YNGDBAx48fV3x8vLKysrRp0yZ5eHjIxcVFjo6OiomJkSSFhYXJw8OjpEIDAAAAAADALSixK5Q8PT21f/9+9enTR/b29urWrZu8vb1Vp04d+fn5KS0tTZ6enurRo4ckKSgoSIGBgUpJSVHLli01dOjQkgoNAAAAAAAAt6BE51Dy8/OTn59frnXu7u4KDw/Ps2+LFi0UGhpakuEAAAAAKCd++OEHLV68WNeuXdPjjz+uwMBARUdHa968eUpLS1PPnj01fvx4SVJsbKwCAgJ05coVtWvXTjNnzpTRWOLTxQLAHa1E7/IGAAAAANY6ceKE3nzzTS1dulTh4eH6448/FBUVJX9/fy1dulQRERE6ePCgoqKiJEmTJk3SjBkztGXLFpnNZoWEhNi4BQBQ8VFQAgAAAFCm/Pvf/5aXl5ecnZ3l4OCgRYsWqUqVKmrUqJEaNmwoo9EoHx8fRUZG6tSpU0pNTZWrq6skydfXV5GRkbZtAADcAbgOFAAAAECZEh8fLwcHB40aNUpnzpxRp06d1KxZM5lMJss+Tk5OSkhIUGJiYq71JpNJCQkJtggbAO4oFJQAAAAAlClZWVnas2ePVq1apapVq+rVV19V5cqVZTAYLPuYzWYZDAZlZ2fnu95adetWvy2xlwcmUw1bhwCgAqCgBAAAAKBMufvuu+Xu7q46depIkp588klFRkbK3t7esk9SUpKcnJzk7OyspKQky/rk5GQ5OTlZfcyzZ1OUnW3Ota6iFl6Ski7bOgQA5YCdnaHQYjtzKAEAAAAoUzp37qzt27fr0qVLysrK0s8//6wePXro+PHjio+PV1ZWljZt2iQPDw+5uLjI0dFRMTExkqSwsDB5eHjYuAUAUPFxhRIAAACAMqVNmzZ6+eWXNWjQIGVkZOjxxx/XwIEDdd9998nPz09paWny9PRUjx49JElBQUEKDAxUSkqKWrZsqaFDh9q4BQBQ8VFQAgAAAFDm9OvXT/369cu1zt3dXeHh4Xn2bdGihUJDQ0srNACAGPIGAAAAAAAAK1FQAgAAAAAAgFUoKAEAAAAAAMAqFJQAAAAAAABgFQpKAAAAAAAAsAp3ecMd465aVVXJwd7WYdw26RlZunjhqq3DAAAAAADcgSgo4Y5RycFei78/YOswbpsxTz5k6xAAAAAAAHcohrwBAGxqwYIFmjp1qiQpOjpaPj4+6tatmxYtWmTZJzY2Vr6+vurevbsCAgKUmZlpq3ABAAAAiIISAMCGduzYofXr10uSUlNT5e/vr6VLlyoiIkIHDx5UVFSUJGnSpEmaMWOGtmzZIrPZrJCQEFuGDQAAANzxKCgBAGziwoULWrRokUaNGiVJ2r9/vxo1aqSGDRvKaDTKx8dHkZGROnXqlFJTU+Xq6ipJ8vX1VWRkpA0jBwAAAMAcSsAdpuZdVeRYqeK89NPSM3Xp4jVbh4FimDFjhsaPH68zZ85IkhITE2UymSzbnZyclJCQkGe9yWRSQkJCqccLAAAA4P9UnE+VAIrEsZJRL328zdZh3DbLR3S2dQgohq+//lr169eXu7u71q1bJ0nKzs6WwWCw7GM2m2UwGApcb626davfeuDlhMlUw9YhAAAAoIKjoAQAKHURERFKSkpS7969dfHiRV29elWnTp2Svb29ZZ+kpCQ5OTnJ2dlZSUlJlvXJyclycnKy+phnz6YoO9ucZ31FLL4kJV22dQgAygE7O8MdVWwHANxeFJQAAKVuxYoVlt/XrVun3bt3a+bMmerWrZvi4+PVoEEDbdq0Sc8884xcXFzk6OiomJgYtW3bVmFhYfLw8LBh9AAAAABKtKC0ePFibd68WZLk6empyZMna9q0aYqJiVGVKlUkSWPGjNFTTz2l2NhYBQQE6MqVK2rXrp1mzpwpo5F6FwDcKRwdHTV//nz5+fkpLS1Nnp6e6tGjhyQpKChIgYGBSklJUcuWLTV06FAbRwsAAADc2UqsYhMdHa3t27dr/fr1MhgMevnll/Xvf/9bBw8e1BdffJFnuMKkSZM0e/Zsubq6yt/fXyEhIRo0aFBJhQcAKCN8fX3l6+srSXJ3d1d4eHiefVq0aKHQ0NDSDg0AAABAAexK6olNJpOmTp2qSpUqycHBQU2aNNHp06d1+vRp+fv7y8fHR8HBwcrOzuaW0AAAAAAAAOVIiV2h1KxZM8vvcXFx2rx5s1avXq3du3frzTffVI0aNTRy5EiFhoaqWbNm3BIaAAAAAACgnCjxSYqOHDmikSNHavLkybrvvvu0ZMkSy7YhQ4Zow4YNatKkyS3fEvpOukNFRbwjUXHQD/RBDvoBAAAAAEpXiRaUYmJiNHbsWPn7+8vb21uHDh1SXFycunfvLul64choNN6WW0JzO+iCVcQ+kOgHqXi3Bqcf7hzcDhoAAABASSmxgtKZM2c0evRoLVq0SO7u7pKuF5Dmzp2rDh06qGrVqlq7dq369u3LLaEBALCh2rWrymi0t3UYt1VmZpbOn79q6zAAAAAqrBIrKC1fvlxpaWmaP3++Zd2AAQP0yiuvaODAgcrMzFS3bt3Uq1cvSdwSGgAAWzEa7RX1x2lbh3FbeT54j61DAHCLhgwZonPnzslovP6RZdasWbpy5YrmzZuntLQ09ezZU+PHj5ckxcbGKiAgQFeuXFG7du00c+ZMy+MAACWjxN5lAwMDFRgYmO+2559/Ps86bgkNAAAAQLo+siEuLk7btm2zFIZSU1PVo0cPrVq1SvXr19fIkSMVFRUlT09PTZo0SbNnz5arq6v8/f0VEhKiQYMG2bgVAFCx2dk6AAAAAAC40bFjxyRJL774op5++ml98cUX2r9/vxo1aqSGDRvKaDTKx8dHkZGROnXqlFJTU+Xq6ipJ8vX1VWRkpA2jB4A7A9eBAgAAAChTLl26JHd3d02fPl0ZGRkaOnSoXn75ZZlMJss+Tk5OSkhIUGJiYq71JpNJCQkJVh/zTrqRRUW8SQuA0kdBCQAAAECZ4ubmJjc3N8tyv379FBwcrLZt21rWmc1mGQwGZWdny2Aw5FlvrfzuGl1RCy/cIRdAUdzsrtEMeQMAAABQpuzZs0c7duywLJvNZrm4uCgpKcmyLikpSU5OTnJ2ds61Pjk5WU5OTqUaLwDciSgoAQAAAChTLl++rIULFyotLU0pKSlav369JkyYoOPHjys+Pl5ZWVnatGmTPDw85OLiIkdHR8XExEiSwsLC5OHhYeMWAEDFx5A3AAAAAGVK586dtW/fPvXp00fZ2dkaNGiQ3NzcNH/+fPn5+SktLU2enp7q0aOHJCkoKEiBgYFKSUlRy5YtNXToUBu3AAAqPgpKAAAAAMqccePGady4cbnWubu7Kzw8PM++LVq0UGhoaClFduepXbuqjEZ7W4dxW2VmZun8+au2DgMo1ygoAQAAAAAKZDTaK+qP07YO47byfPAeW4cAlHvMoQQAAAAAAACrUFACAAAAAACAVSgoAQAAAAAAwCoUlAAAAAAAAGAVCkoAAAAAAACwCgUlAAAAAAAAWIWCEgAAAAAAAKxCQQkAAAAAAABWoaAEAAAAAAAAqxiLuuO1a9d06NAhubq6as2aNTpw4IDGjBmje+65pyTjA4DbrnrNKqriWOS3v3LhWlqmUi5ds93xyREAgEKQJwCg4inyJ6pp06apYcOGsrOz0yeffKI+ffpo+vTpWr58eUnGBwC3XRVHo56YttbWYdxWP8/rrxQbHp8cAQAoDHkCACqeIg95O3HihCZOnKht27apb9++8vPz04ULF0owNABAeUGOAAAUhjwBABVPkQtKmZmZkqTt27erQ4cOysrK0tWrV0ssMABA+UGOAAAUhjwBABVPkYe8ubm5ycvLS/b29nr44Yf1wgsv6LHHHiv0MYsXL9bmzZslSZ6enpo8ebKio6M1b948paWlqWfPnho/frwkKTY2VgEBAbpy5YratWunmTNnymisWHOcAEBFVZwcAZQ1d9WqqkoO9rYO47ZJz8jSxQt8YEfZQJ4AgIqnyBWb6dOna+/evWrevLns7Oz00ksvycPDo8D9o6OjtX37dq1fv14Gg0Evv/yyNm3apKCgIK1atUr169fXyJEjFRUVJU9PT02aNEmzZ8+Wq6ur/P39FRISokGDBt2WRgIASpa1OQIoiyo52Gvx9wdsHcZtM+bJh2wdAmBBngCAiqfIBSV7e3slJyfr559/1qhRo5SSkiI7u4JHzJlMJk2dOlWVKlWSJDVp0kRxcXFq1KiRGjZsKEny8fFRZGSkmjZtqtTUVLm6ukqSfH19FRwcTEEJAMoJa3MEAODOQp5ARcCVrEBuRS4oLVu2TL/88ov++usvDRs2TIsXL1Z8fLxGjx6d7/7NmjWz/B4XF6fNmzdr8ODBMplMlvVOTk5KSEhQYmJirvUmk0kJCQnFaQ8AwAaszRE53n//fW3ZskUGg0H9+vXT8OHDGRoNABVQcfMEUJZwJSuQW5H/E//222/19ddf67nnnlPt2rUVEhKi/v373zQJHDlyRCNHjtTkyZNlb2+vuLg4yzaz2SyDwaDs7GwZDIY8661Rt251q/Yvz0ymGrYOoUygH+iDHPTDdbbsh+LkiN27d2vnzp0KDw9XZmamvLy85O7uLn9/f4ZGA0AFU9zPEgCAsqvIBSWj0WgZviZJNWvWvOk3wzExMRo7dqz8/f3l7e2t3bt3KykpybI9KSlJTk5OcnZ2zrU+OTlZTk5O1rRDZ8+mKDvbnGd9RfygmZR02ar9K2IfSPSDZH0fSPSDVDH7QMrbD3Z2hlIrthcnR7Rv314rV66U0WhUQkKCsrKydOnSJYZGA0AFVJw8AQAo24o8cLl+/fr68ccfZTAYlJ6erg8//FAuLi4F7n/mzBmNHj1aQUFB8vb2liS1adNGx48fV3x8vLKysrRp0yZ5eHjIxcVFjo6OiomJkSSFhYUxSR8AlCPW5ogcDg4OCg4Olre3t9zd3fMMgWZoNABUDMXNE5K0YMECTZ06VdL1G//4+PioW7duWrRokWWf2NhY+fr6qnv37goICFBmZmaJtAMA8H+susvb5MmTdejQIbm6uqpNmzYKCgoqcP/ly5crLS1N8+fPt6wbMGCA5s+fLz8/P6WlpcnT01M9evSQJAUFBSkwMFApKSlq2bKlhg4degvNAgCUJmtzxI3Gjh2rESNGaNSoUYqLi8t3CDRDo61TUa/Csxb9QB+g7ChuntixY4fWr1+vTp06KTU1lWHRAFCGFLmgVK9ePX3++ee6du2asrKyVL164f+YBwYGKjAwMN9t4eHheda1aNFCoaGhRQ0HAFCGWJsjJOno0aNKT0/XAw88oCpVqqhbt26KjIyUvf3/3T2FodHFwzDQ6+iH4g2Nxp2jNIdGFydPXLhwQYsWLdKoUaP0559/av/+/QyLBoAy5KYFpdmzZxe6vaCiEQCg4ruVHHHy5EkFBwdrzZo1kqStW7dqwIABWrhwoeLj49WgQQNt2rRJzzzzTK6h0W3btmVoNACUE7eSJ2bMmKHx48frzJkzksSwaAAoY25aUKpVq1YphAEAKI9uJUd4enpq//796tOnj+zt7dWtWzd5e3urTp06DI0GgAqiuHni66+/Vv369eXu7q5169ZJUoHDn2/HsGiJodF3IvqBPsCtuWlBacyYMQVuu3r16m0NBgBQvtxqjvDz85Ofn1+ude7u7gyNBoAKorh5IiIiQklJSerdu7cuXryoq1ev6tSpUyU2LFrKf2h0Rf2wzZDg6+gHhkajcDcbGl3kOZS+//57BQcH6+rVqzKbzcrOztaFCxe0d+/e2xIoAKD8IkcAAApjbZ5YsWKF5fd169Zp9+7dmjlzprp168awaAAoI4pcUFq4cKHGjRunNWvWaMSIEfr+++9VrVq1kowNAFBOkCMAAIW5HXnC0dGRO0YDQBlS5IJSlSpV5OXlpdjYWDk6Ouqtt96St7e3pkyZUpLxAQDKAXIEAKAwt5InfH195evrK4lh0QBQltgVdUdHR0elp6frH//4h2JjY2VnZ1esye4AABUPOQIAUBjyBABUPEW+QqlLly565ZVXtGDBAvXv318xMTGqXbt2ScYGACgnyBEAgMKQJwCg4ilyQWnUqFF6+umnVa9ePS1dulS//vqrevXqVZKxAQDKCXIEAKAw5AkAqHiKPOTt2rVrSkxMlCTt27dPhw4dUlpaWokFBgAoP8gRAIDCkCcAoOIpckFp2rRp2rp1q/bv369PPvlE9evX1/Tp00syNgBAOUGOAAAUhjwBABVPkQtKJ06c0MSJE7Vt2zb17dtXfn5+unDhQgmGBgAoL8gRAIDCkCcAoOIpckEpMzNTkrR9+3Z16NBBWVlZunr1aokFBgAoP8gRAIDCkCcAoOIp8qTcbm5u8vLykr29vR5++GG98MILeuyxx0oyNgBAOUGOAAAUhjwBABVPkQtK06dP1969e9W8eXPZ2dnppZdekoeHhyRp9+7dat++fYkFCQAo28gRAIDCkCcAoOIp8pA3e3t7tWvXTjVq1JAkderUSXZ21x8+b968kokOAFAukCMAAIUhTwBAxVPkglJhzGbz7XgaAEAFRI4AABSGPAEA5dNtKSgZDIbb8TQAgAqIHAEAKAx5AgDKp9tSUAIAAAAAAMCdg4ISAAAAAAAArMIcSgCAEkWOAAAUhjwBAOXTbSkoPfroo7fjaQAAFRA5AgBQGPIEAJRPxqLuOHv27HzXBwYGatq0afluS0lJ0YABA/TRRx+pQYMGmjZtmmJiYlSlShVJ0pgxY/TUU08pNjZWAQEBunLlitq1a6eZM2fKaCxyaAAAGytOjgAA3DnIEwBQ8RS5alOrVi3L7xkZGdq2bZvat29f4P779u1TYGCg4uLiLOsOHjyoL774Qk5OTrn2nTRpkmbPni1XV1f5+/srJCREgwYNKnorAAA2ZW2OAFA21byrihwrVawv9dLSM3Xp4jVbh3HHI08AQMVT5P8YxowZk2t5xIgRevXVVwvcPyQkRG+++aYmT54sSbp27ZpOnz4tf39/JSQk6KmnntKYMWN05swZpaamytXVVZLk6+ur4OBgCkoAUI5YmyMAlE2OlYx66eNttg7jtlo+orOtQ4DIEwBQERX7K6jq1asrMTGxwO1z5szJtZycnKwOHTrozTffVI0aNTRy5EiFhoaqWbNmMplMlv1MJpMSEhKKGxYAoAy4WY4AANzZyBMAUP4VuaD09ttvy2AwSLp+J4bff/9djRs3LvKBGjZsqCVLlliWhwwZog0bNqhJkyaW58157huXi6pu3epWP6a8Mplq2DqEMoF+oA9y0A/X2bIfbjVHAAAqtuLkiffff19btmyRwWBQv379NHz4cEVHR2vevHlKS0tTz549NX78eEliTlYAsIEiv8vWrl1b165d0//+9z81b95cvXr1Up8+fYp8oEOHDikuLk7du3eXdD2RGI1GOTs7KykpybJfcnJynjmWiuLs2RRlZ+e95WhF/KCZlHTZqv0rYh9I9INkfR9I9INUMftAytsPdnaGUiu232qOAABUbNbmid27d2vnzp0KDw9XZmamvLy85O7uLn9/f61atUr169fXyJEjFRUVJU9PT+ZkBQAbsCvqjh07dlRYWJj279+vfv36KTg4WIcPHy7ygcxms+bOnauLFy8qIyNDa9eu1VNPPSUXFxc5OjoqJiZGkhQWFiYPDw/rWwIAsJlbzREAgIrN2jzRvn17rVy5UkajUWfPnlVWVpYuXbqkRo0aqWHDhjIajfLx8VFkZKROnTqVZ07WyMjIUmoZANy5ilxQWrhwoT777DPVqVNHzs7Oeuedd/LMk1SYFi1a6JVXXtHAgQPl7e2tBx54QL169ZIkBQUFad68eerRo4euXr2qoUOHWt8SAIDN3GqOAABUbMXJEw4ODgoODpa3t7fc3d2VmJiYa+5VJycnJSQk5FnPnKwAUDqKPOQtNTVVTZs2ldl8fViZp6enFi1adNPH/fDDD5bfn3/+eT3//PN59mnRooVCQ0OLGgoAoIwpbo4AANwZipsnxo4dqxEjRmjUqFGKi4vLd+7V7Oxs5mS1UkUd/m8t+oE+wK0pckHJaDTq4sWLljfnY8eOlVhQAIDyhRwBACiMtXni6NGjSk9P1wMPPKAqVaqoW7duioyMlL29vWWfpKQkOTk5leicrBX1wzbzT15HPxRvTlbcOW42J2uRC0qvvvqqBg8erOTkZE2YMEG//PKLZs2adVuCBACUb+QIABVJ9ZpVVMWxYt0h7FpaplIuXbPZ8a3NEydPnlRwcLDWrFkjSdq6dasGDBighQsXKj4+Xg0aNNCmTZv0zDPP5JqTtW3btszJCgClpMiZsnPnzrrvvvv0yy+/KDs7W6NHj1aTJk1KMjYAQDlBjgBQkVRxNOqJaWttHcZt9fO8/kqx4fGtzROenp7av3+/+vTpI3t7e3Xr1k3e3t6qU6eO/Pz8lJaWJk9PT/Xo0UPS9TlZAwMDlZKSopYtWzInKwCUAqu+emnUqJEaNWpUUrEAAMoxa3PE4sWLtXnzZknXPzhMnjxZ0dHRmjdvntLS0tSzZ0+NHz9ekhQbG6uAgABduXJF7dq108yZM2U0VqyrBwCgorM2T/j5+cnPzy/XOnd3d4WHh+fZlzlZAaD0FfkubwAA3C7R0dHavn271q9frw0bNuj333/Xpk2b5O/vr6VLlyoiIkIHDx5UVFSUJGnSpEmaMWOGtmzZIrPZrJCQEBu3AAAAALizUVACAJQ6k8mkqVOnqlKlSnJwcFCTJk0UFxenRo0aqWHDhjIajfLx8VFkZKROnTql1NRUubq6SpJ8fX0VGRlp2wYAAAAAdzjGCwAASl2zZs0sv8fFxWnz5s0aPHiwTCaTZb2Tk5MSEhKUmJiYa73JZFJCQoLVx+R20Hce+oE+yEE/XEc/AABuJwpKAACbOXLkiEaOHKnJkyfL3t5ecXFxlm1ms1kGg0HZ2dmW20zfuN5a+d0OWqqYH7C4DfJ19AN9kIN+uO7v/XCz20EDAFAYhrwBAGwiJiZGw4YN08SJE9W3b185OzsrKSnJsj0pKUlOTk551icnJ8vJyckWIQMAAAD4/ygoAQBK3ZkzZzR69GgFBQXJ29tbktSmTRsdP35c8fHxysrK0qZNm+Th4SEXFxc5OjoqJiZGkhQWFiYPDw9bhg8AAADc8RjyBgAodcuXL1daWprmz59vWTdgwADNnz9ffn5+SktLk6enp3r06CFJCgoKUmBgoFJSUtSyZUsNHTrUVqEDAAAAEAUlAIANBAYGKjAwMN9t4eHheda1aNFCoaGhJR0WAAAAgCJiyBsAAAAAAACsQkEJAAAAAAAAVqGgBAAAAAAAAKtQUAIAAAAAAIBVKCgBAAAAAADAKhSUAAAAAAAAYBUKSgAAAAAAALAKBSUAAAAAAABYhYISAAAAAAAArFKiBaWUlBT16tVLJ0+elCRFR0fLx8dH3bp106JFiyz7xcbGytfXV927d1dAQIAyMzNLMiwAAAAAAADcghIrKO3bt08DBw5UXFycJCk1NVX+/v5aunSpIiIidPDgQUVFRUmSJk2apBkzZmjLli0ym80KCQkpqbAAAAAAAABwi0qsoBQSEqI333xTTk5OkqT9+/erUaNGatiwoYxGo3x8fBQZGalTp04pNTVVrq6ukiRfX19FRkaWVFgAAAAAAAC4RSVWUJozZ47atWtnWU5MTJTJZLIsOzk5KSEhIc96k8mkhISEkgoLAAAAQDmwePFieXt7y9vbWwsXLpTEFBoAUJYYS+tA2dnZMhgMlmWz2SyDwVDgemvVrVv9tsRZHphMNWwdQplAP9AHOeiH6+gHAEBFER0dre3bt2v9+vUyGAx6+eWXtWnTJgUFBWnVqlWqX7++Ro4cqaioKHl6emrSpEmaPXu2XF1d5e/vr5CQEA0aNMjWzQCACq3UCkrOzs5KSkqyLCclJcnJySnP+uTkZMswOWucPZui7GxznvUV8QNWUtJlq/aviH0g0Q+S9X0g0Q9SxewDKW8/2NkZ7qhiOwCg4jCZTJo6daoqVaokSWrSpIni4uIsU2hIskyh0bRp0zxTaAQHB1NQAoASVqJ3ebtRmzZtdPz4ccXHxysrK0ubNm2Sh4eHXFxc5OjoqJiYGElSWFiYPDw8SissAAAAAGVMs2bNLAWiuLg4bd68WQaDgSk0AKAMKbUrlBwdHTV//nz5+fkpLS1Nnp6e6tGjhyQpKChIgYGBSklJUcuWLTV06NDSCgsAAABAGXXkyBGNHDlSkydPlr29veUO0hJTaNyKinq1trXoB/oAt6bEC0o//PCD5Xd3d3eFh4fn2adFixYKDQ0t6VAAAAAAlBMxMTEaO3as/P395e3trd27d5f6FBoV9cM20wVcRz8UbwoN3DluNoVGqQ15AwAAAICiOHPmjEaPHq2goCB5e3tLYgoNAChrSm3IGwAAAAAUxfLly5WWlqb58+db1g0YMIApNAAbq3lXFTlWqlhlhLT0TF26eM3WYZRLFetMAAAAAFDuBQYGKjAwMN9tTKEB2I5jJaNe+nibrcO4rZaP6GzrEMothrwBAAAAAADAKhSUAAAAAAAAYBUKSgAAAAAAALAKBSUAAAAAAABYhYISAAAAAAAArEJBCQAAAAAAAFahoAQAAAAAAACrUFACAAAAAACAVSgoAQAAAAAAwCoUlAAAAAAAAGAVCkoAAJtJSUlRr169dPLkSUlSdHS0fHx81K1bNy1atMiyX2xsrHx9fdW9e3cFBAQoMzPTViEDAAAAEAUlAICN7Nu3TwMHDlRcXJwkKTU1Vf7+/lq6dKkiIiJ08OBBRUVFSZImTZqkGTNmaMuWLTKbzQoJCbFh5AAAAAAoKAEAbCIkJERvvvmmnJycJEn79+9Xo0aN1LBhQxmNRvn4+CgyMlKnTp1SamqqXF1dJUm+vr6KjIy0YeQAAAAAjLYOAABwZ5ozZ06u5cTERJlMJsuyk5OTEhIS8qw3mUxKSEiw+nh161YvfrDljMlUw9YhlAn0A32Qg364jn4AANxOFJQAAGVCdna2DAaDZdlsNstgMBS43lpnz6YoO9ucZ31F/ICVlHTZqv0rYh9I9INEH+SgH677ez/Y2RnuqGI7AOD2YsgbAKBMcHZ2VlJSkmU5KSlJTk5OedYnJydbhskBAAAAsA0KSgCAMqFNmzY6fvy44uPjlZWVpU2bNsnDw0MuLi5ydHRUTEyMJCksLEweHh42jhYAAAC4szHkDQBQJjg6Omr+/Pny8/NTWlqaPD091aNHD0lSUFCQAgMDlZKSopYtW2ro0KE2jhYAAAC4s1FQAgDY1A8//GD53d3dXeHh4Xn2adGihUJDQ0szLAAAAACFsElBaciQITp37pyMxuuHnzVrlq5cuaJ58+YpLS1NPXv21Pjx420RGgAAAAAAAG6i1OdQMpvNiouLU1hYmOWnefPm8vf319KlSxUREaGDBw8qKiqqtEMDAAAAUIakpKSoV69eOnnypCQpOjpaPj4+6tatmxYtWmTZLzY2Vr6+vurevbsCAgKUmZlpq5AB4I5R6gWlY8eOSZJefPFFPf300/riiy+0f/9+NWrUSA0bNpTRaJSPj48iIyNLOzQAAAAAZcS+ffs0cOBAxcXFSZJSU1ML/BJ60qRJmjFjhrZs2SKz2ayQkBAbRg4Ad4ZSLyhdunRJ7u7uWrJkiT777DN99dVXOn36tEwmk2UfJycnJSQklHZoAAAAAMqIkJAQvfnmm3JycpKkAr+EPnXqlFJTU+Xq6ipJ8vX15ctpACgFpT6Hkpubm9zc3CzL/fr1U3BwsNq2bWtZZzabZTAYrHreunWr37YYyzqTqYatQygT6Af6IAf9cB39AACoSObMmZNrOTExMd8vof++3mQy8eU0AJSCUi8o7dmzRxkZGXJ3d5d0vXjk4uKipKQkyz5JSUmWbyKK6uzZFGVnm/Osr4gfsJKSLlu1f0XsA4l+kKzvA4l+kCpmH0h5+8HOznBHFdsBABVbdnZ2ri+dc76ELmi9te6knFlR/xeyFv1AH+SgH4qn1AtKly9fVnBwsL766itlZGRo/fr1mjlzpsaNG6f4+Hg1aNBAmzZt0jPPPFPaoQEAAAAoo5ydnfP9Evrv65OTk63+clrK/wvqivohky/jrqMf6IMcxfmi/k5wsy+oS72g1LlzZ+3bt099+vRRdna2Bg0aJDc3N82fP19+fn5KS0uTp6enevToUdqhAQAAACij2rRpo+PHj+f5EtrFxUWOjo6KiYlR27ZtFRYWJg8PD1uHCwAVXqkXlCRp3LhxGjduXK517u7uCg8Pt0U4AAAAAMo4R0fHAr+EDgoKUmBgoFJSUtSyZUsNHTrUxtECQMVnk4ISAAAAABTFDz/8YPm9oC+hW7RoodDQ0NIMCwDueHa2DgAAAAAAAADlCwUlAAAAAAAAWIWCEgAAAAAAAKxCQQkAAAAAAABWoaAEAAAAAAAAq1BQAgAAAAAAgFUoKAEAAAAAAMAqFJQAAAAAAABgFQpKAAAAAAAAsAoFJQAAAAAAAFiFghIAAAAAAACsQkEJAAAAAAAAVqGgBAAAAAAAAKtQUAIAAAAAAIBVKCgBAAAAAADAKhSUAAAAAAAAYBUKSgAAAAAAALAKBSUAAAAAAABYhYISAAAAAAAArEJBCQAAAAAAAFYpUwWljRs3ysvLS926ddPq1attHQ4AoIwhTwAACkOeAIDSY7R1ADkSEhK0aNEirVu3TpUqVdKAAQP06KOPqmnTprYODQBQBpAnAACFIU8AQOkqM1coRUdHq0OHDqpVq5aqVq2q7t27KzIy0tZhAQDKCPIEAKAw5AkAKF1l5gqlxMREmUwmy7KTk5P2799f5Mfb2RkK3GYsZFt5VFhbC+LoYF8CkdhWcfqhRmWHEojEdorTB5JUt3rl2xyJbRWnH5xrVS2BSGzr7/1Q3POjrCJPFB154jryRPH6oKLlCIk8kYM8UbiC+qOi5QiJPJGDPEGeyFHR3g9vl5v1S5kpKGVnZ8tg+L9gzWZzruWbqV27WoHbGt5d8LbyqG7d6lY/pkOzeiUQiW0Vpx9e6NiiBCKxneL0gSQtHOh+myOxreL0w9dTfEogEtsq7vlQXpAnio48cR15onh9UNFyhESeyEGeKFxBeaKi5QiJPJGDPEGeyFHR3x9LSpkZ8ubs7KykpCTLclJSkpycnGwYEQCgLCFPAAAKQ54AgNJVZgpKjz32mHbs2KFz587p2rVr+u677+Th4WHrsAAAZQR5AgBQGPIEAJSuMjPkrV69eho/fryGDh2qjIwM9evXT61bt7Z1WACAMoI8AQAoDHkCAEqXwWw2m20dBAAAAAAAAMqPMjPkDQAAAAAAAOUDBSUAAAAAAABYhYISAAAAAAAArEJBCQAAAAAAAFahoAQAAAAAAACrUFAqAUePHtXzzz+v3r17q3///oqNjbV1SKXuv//9rwYMGKCnn35aQ4YM0alTp2wd0m1VUPvS09M1e/Zs9enTR97e3tq+fbskyWw2a8GCBerRo4e8vLwUExNjy/BLxYEDBxQQECBJCggI0IEDB2wcEVC6tm3bphUrVkiS1qxZozVr1tg4orItODhYe/bssXUYVuvSpYtOnjx5y8+zf/9+vfPOO7chovJjxIgRSkhIsHUYNtO7d29bhwCgDLp8+bJGjx5t6zBKXUZGhl544QXt2rXLsi42Nla+vr7q3r27AgIClJmZacMIkR8KSiUgMDBQI0aMUFhYmMaNG6cpU6bYOqRSN3PmTL322msKDw+Xl5eX3n33XVuHdFsV1L5PPvlE58+f1/r16/Xee+9p2rRpMpvN2rJli44ePaqIiAgtWbJE06ZNq/BviA899JDmzJkjSZozZ44eeughG0cElK6DBw8qJSVFkjRw4EANHDjQxhGVbb/++quysrJsHYbN/Pe//9XZs2dtHUap+vjjj1WvXj1bh2EzYWFhtg4BQBl08eLFO+6ChGPHjmnIkCHau3dvrvWTJk3SjBkztGXLFpnNZoWEhNgoQhTEaOsAyotdu3Zp6dKlMhqNOnnypFq3bq0ZM2Zo4sSJSk5OliSNHj1aXbt21bPPPqsnnnhCktS8eXOdOXPGlqHfNtb0wYoVK2Q0GpWdna3Tp0+rZs2aNo6++FauXKnvvvtOq1atUkxMjPz9/bV+/XpVq1YtT/s2b96sd955RwaDQc2aNdOKFStkNpsVFRUlLy8v2dnZqXHjxqpfv7727t2rRx55xMatuzU+Pj5677331KRJE02cOFHVq1fXzJkztXfvXg0fPlwPPfSQVq1apSFDhmjMmDF69NFHbR1yibHm9YHyKzMzU2+99ZaOHDmi5ORkNW/eXO+++66++uorrVmzRvb29urcubP69u2rr776SpJ0zz336PTp05IkPz8/bdu2Te+9956ys7PVsGFDzZo1S3fffbe6dOmip59+Wtu3b9e1a9e0YMECtWrVypbNLdBff/2lN954Q1evXpWdnZ0CAwM1YcIE9ejRQ9HR0ZKkuXPn6sEHH9Tx48c1Y8YMXbhwQVWrVlVAQIBat26tqVOn6sKFC4qPj9crr7yigwcPKjAwUIsXL1Z0dLTWr18vOzs7tW7dWrNmzbJxi6/Lr92StGTJEsXGxuratWtauHCh2rRpU2C7k5OTFRAQoNOnT8toNGr8+PFydXVVcHCwrl69qg8//FCvvPKKFi5cqN27dysrK0u+vr4aNmyYdu3apXfeeUfZ2dlq1qyZFixYYOMeUa6Y7rrrLtnZ2eny5ctKTExU37599frrrystLU0zZ85UTEyMHBwc9Nprr8nLy0tdunTRypUrtXv3bv3888+6ePGiTpw4occff1xvvfWWJOmf//yntmzZotq1a8tkMqlLly7y9fW1baOLYNeuXfroo4/k4OCgkydPqkuXLqpataq+//57SdKyZcv0+OOP69ChQ9qxY4fl6rS77rpL//znP1WnTh199tlnud5XJk2aZMsmoQQtW7ZMmzdvVlZWljp27KhJkybJYDDYOqxSUZTXyt13323jKEvX7NmzlZiYqNGjR2vJkiW2Due2y+98Dw0N1csvv6zPP//cst+pU6eUmpoqV1dXSZKvr6+Cg4M1aNAgyz5dunTRDz/8UNpNKDEF/Z/57bffasWKFTIYDGrZsqWmT5+uatWq2TpcSVyhZJW9e/cqICBAkZGRSktL0+effy4XFxetW7dOc+bMsVyq7+vrK3t7e0nXL+F/8sknbRn2bVXUPjAajbp06ZI8PDy0Zs0aPffcczaOvPiGDBkig8GgL7/8UoGBgZo3b56qVauWb/vi4+P166+/atCgQerfv7+Sk5NlZ2enxMREOTk5WZ7TZDLpr7/+slWTbhtPT0/t2LFDknT48GH95z//kST9/PPPmjx5si1Ds4mivj5Qfu3du1cODg5au3at/v3vf+vy5ctauXKlvvzyS4WGhio8PFy///67UlNTNWDAAA0YMEDPPPOM5fFnz57VjBkztGTJEm3cuFEPP/xwrmJJrVq1FBoaqgEDBuhf//qXLZpYJKGhoerUqZPWrVunsWPHWobxVq1aVRs2bNDYsWMtV+dOmjRJQ4YM0caNGzVt2jS9/vrrSk9Pl3S9vZs3b1bfvn3VqlUrzZ49W02bNtW//vUvffPNN1q3bp0yMjLKzLCogtrdtGlTbdiwQUOGDNHy5cslFdzut99+Wx06dNDGjRsVHBwsf39/paena+zYserSpYteffVVyzew69evV2hoqLZu3Wp5/4iLi9Pnn39eJopJOXJi6tixo3r16qWQkBBt3LhRn3/+uc6dO6dVq1bp6tWr2rx5s1asWKElS5ZYzoEce/fuVXBwsMLDw7Vt2zYdOnRIP/zwg2JiYrRp0yYtW7ZMf/zxh41aWDz79u3TzJkz9c0332j16tWqU6eO1q1bp+bNm+vbb7+17Ld06VK99dZbWrdunR577DH98ccf2r9/f573lYMHD9qwNSgpP/30kw4ePKjQ0FBt2LBBCQkJCg8Pt3VYpaqor5U7RWBgoJycnCpkMamg833y5Ml5PjMnJibKZDJZlk0mU5n5f6Ck5Pd/5ieffKKPPvpIq1at0saNG1WlShUtXrzY1qFacIWSFR555BHdd999kq6Pe1+7dq1iY2OVkJCgTp065RrrajabtXDhQu3bt08rV660Vci3nTV9ULNmTW3fvl0//fSTXn31VW3dutVSaCtPDAaD5s6dKx8fHw0cOFBt27aVlH/7srKy9Ndff2n16tU6dOiQXn75ZW3evFnZ2dm5vmkym82ysyv/9VxPT0999tln6tChg5o2bapjx47p7Nmz+umnnzR48GBbh1fqrHl9oHx65JFHVKtWLa1evVrHjh1TXFycHn30UXXu3Fk1atSQJH322WeSrs+h9Hf79+9X69at1aBBA0lS//79tWzZMsv2nKtbmzVrpu+++66EW1N87u7u8vPzU2xsrDw9PTV48GCtXr3aUlzv0qWLpk6dqr/++kv/+9//1K1bN0mSq6ur7rrrLh07dkyS1Lp16zzPbW9vLzc3N/Xr109du3bV8OHDy8ywqILanfNPcNOmTbVlyxZduXKlwHbv3LlTs2fPliQ1bNhQbdq00b59+3IdZ8eOHYqNjdXOnTslSVevXtWhQ4fUtGlTNW7c2HKulRU5Mb300kvauXOnli9friNHjigjI0PXrl3Tr7/+queee052dnYymUz5fkB0c3NT9erVJV3vl4sXLyo6Olo9e/ZUpUqVVKlSpXL3Bd3999+v+vXrS5Jq164td3d3SdevWrx06ZJlv65du2rMmDF68skn1bVrVz3++ONavnx5vu8rqHh27Nih/fv3W668S01N1T333GPjqEpXUV8rKP+sOd/z+/xkMBgsV+5K14tOOfPRffTRR5bzqLwq7P/M2rVrS7r+v+O0adNsHOn/oaBkhRuLIWazWUajUZs3b9bPP/+sbdu26dNPP1VERISys7M1ZcoUJSQkaOXKlWXuH79bUdQ+iIyMVM+ePWUwGOTh4aHU1FRdvHhRderUsWH0xXf69GlVq1ZNf/zxh8xmszZv3pxv++6++255e3vLYDCoRYsWcnZ21vHjx+Xs7KzExETL8yUnJ+e6Yqm8cnNz09SpUxUdHa327durbt26ioyMVGZmZrl/Qy+Oor4+KkIx8U61detWBQcHa+jQofL19dX58+dVo0YNy1xJkpSQkKAqVark+/js7Oxcy2azOdd8ao6OjpJU5oc6tG3bVt9++61+/PFHRUREaP369ZKuX52aIzs7O985kcxms2V95cqV833+pUuX6rffftNPP/2kl19+WUFBQWrfvn0JtMQ6BbU757Wf83czm815HpvT7r9vu7E/cmRlZWnSpEmWgtS5c+dUrVo1/fbbbwX2mS3lxDR//nydOHFCvXr10pNPPqno6GjLe+GN53R8fHyeHJFz7kvX+zHni5e/v2bKEwcHh1zLBX2pNmzYMHXu3Fnbtm3TO++8o/3796tq1aq5+iznfaU8TyGA/GVlZemFF17Q8OHDJUmXLl0ql1/A3oqivlZQ/llzvjs7OyspKcmynPP5yd7e3jIHXZcuXSrUfHT5/Z9Zs2bNXIXVv//vaGt8qrFCTEyMEhISlJ2drQ0bNujRRx/VBx98oJ49e+rNN9/UuXPnlJKSogULFiglJUWffvpphSomSUXvg08//VT//ve/JUk7d+5U7dq1y20x6cqVK5o+fbo+/PBDVa5cWV9++WWB7evcubMiIiIkSSdOnNCZM2fUuHFjeXh4aOPGjcrKylJ8fLzi4uIqxCTVRqNRrVu31qpVq9S+fXt16NBBH330kTw9PW0dmk0U9fWB8mvHjh3q2bOnnnnmGdWsWVO7du1SVlaWoqKidOXKFWVmZmrixIk6ePCg7O3t8yT8nKtRcu4Ktnbt2nI5t9jChQsVHh6uvn37asaMGZahSDlXnvz73/9WkyZN5OLiogYNGliutvrtt9+UnJysZs2a5XlOe3t7ZWVl6dy5c/Ly8tL999+v119/3TLPTFlQULv/rnr16gW2u0OHDgoNDZV0PU/85z//kaura67zpUOHDgoJCVFGRoauXLmiQYMG6bfffiuVNt6KX375RS+99JJ69uyp48ePW94PH3nkEUVERMhsNuvs2bMaPHhwniFv+Xnsscf03XffKT09XSkpKfrxxx/LfLG1OJ599llduXJFw4YN07Bhw/THH3+oXbt2+b6voOLp0KGDwsLCLH/r0aNHa8uWLbYOCzZkNBrLVMHgdrLmfHdxcZGjo6NleHlYWJg8PDxKM9xSl9//mWazWT/88IMuXLggSQoJCSlT/ztyhZIVnJycNHnyZCUkJOjxxx+Xr6+vJk6cKB8fH9nb22vSpEnKzMzU6tWr1aBBAz377LOWx1aUymlR+qBmzZqaP3++pk+friVLlqhGjRoKDg62dejF9s4778jT09MyyfJzzz2nzz77zDIPyo3te+ONNzRr1ix5e3tLuj6pXo0aNdSjRw/t379fTz/9tKTrdz0ri98yF4enp6d+/fVXNWnSRCaTSWfPnlWnTp2K9GGhoinq6wPl17PPPqs33nhD3377rRwcHPTwww/r4sWLGjx4sAYMGKDs7Gw99dRTeuyxx+Tg4KApU6bkmkz07rvv1qxZszRmzBhlZGTonnvusdwNsTwZMmSIJk6cqHXr1sne3l4LFizQrFmz9J///EehoaGqUqWK5s+fL+n6e+hbb72lDz74QA4ODvrggw9UqVKlPM/5xBNP6M0339SCBQvUv39/9evXT1WqVFHjxo1zzUNlSwW1Oz8FtTsgIEAzZszQunXrJF3PE05OTmrdurUWL16soKAgvf7664qPj1ffvn2VmZkpX19fPfroo7lupVwWjRw5UpMnT1blypXl7OysVq1a6eTJkxo0aJBmz55tyYHTp0+3DG8rTKdOnbR371717dtXd911l5ycnHJdyVRRTJgwQVOnTpXRaFTVqlU1e/Zs3Xvvvfm+r6Di6dKli/78808999xzysrK0hNPPKG+ffvaOizYUN26dXXPPfdoyJAhWrVqla3Dua2sPd+DgoIUGBiolJQUtWzZUkOHDs21vSJNyC3l/3/muXPnNHLkSA0ZMkQZGRlq2bKlZs6caetQLQzm/K7LRh67du3S4sWLK9yL2hr0AVAwXh+40+XcsStnfijgVu3du1dxcXHq27evMjIy1L9/f82dO1ctWrSwdWgAAEBcoQQAAIAyqHHjxlq8eLFWrFghs9msPn36UEwCAKAM4QolAAAAAAAAWIVJuQEAAAAAAGAVCkoAAAAAAACwCgUlAAAAAAAAWIWCEpCPqVOnavny5YXuc/ny5Vy3rly3bp06deqkl156qaTDAwAAAFBB7N+/XzNmzJAkHThwQGPHjrVxREDRcJc3oJguXryoAwcOWJY3bNig8ePHq3fv3jaMCgAAAEB58t///lcJCQmSpIceekjBwcE2jggoGgpKuKPt2rVLQUFBuueee3Ts2DFVrlxZ8+fPz7VPaGio1q5dq4yMDF28eFEjRozQoEGDNG3aNKWmpqp379569NFHdeDAAZ08eVLnz5/XM888o5kzZ+rPP/+UwWDQE088oQkTJshoNKpVq1bq2rWr/vzzTwUFBWnQoEEaPny4oqOjdfXqVY0ZM0aRkZE6fPiwnJyc9NFHH6lq1ao26iEAQEGWLVum0NBQVatWTe3atdPWrVsVGRmpoKAg/frrr8rKytKDDz6owMBAVa9eXV26dFHfvn21Y8cOnTlzRr1799a4ceO0a9cuzZkzR1WrVtWVK1f0zTffaPv27frwww+VkZGhypUra8qUKXJzc7N1kwEAVvj7+/vDDz+sP/74Q1euXJHZbNbs2bN1zz33KDg4WJcvX9a0adPUp08fvf3229q0aZOmTp2q6tWr69ChQ/rrr7/UvHlzLViwQNWqVVNUVJSCgoJkZ2enBx54QNHR0fryyy/VoEEDWzcbdxCGvOGOd/DgQQ0ZMkQbN26Ur6+vJk2aZNl25coVff3111q2bJk2bNigRYsW6Z133pEkzZs3T5UrV1ZYWJj8/f3VqlUrTZ48WcOGDdPs2bNVq1Ytbdy4Ud98840OHTqkTz/9VJKUkZGhzp07a8uWLXrooYeUnp6uu+++W6GhoerTp48CAwMVEBCgiIgIpaSkaOvWrTbpFwBAwX7++WetW7dOoaGhWrduna5cuSLpepHJ3t5e69atU3h4uJycnBQUFGR53NWrV/Xll1/qq6++0qeffqoTJ05Iko4cOaJ//vOf2rhxo06fPq1FixZZcs/bb78tPz8/Xb161SZtBQAUX877+6xZs3T+/HmtXbtWERER6tu3rz7++GPVr19fY8eOVbt27TRv3rw8jz948KCWL1+uiIgInTp1SpGRkTp//rwmT56sd955R2FhYXr00UctVzgBpYkrlHDHa9Gihdq1aydJeuaZZzRr1iw5OTlJkqpVq6aPPvpIUVFRiouL059//lmkf+h/+uknrVmzRgaDQZUqVdKAAQP0+eef65VXXpEky/FydO/eXZL0j3/8Q/fff7/q1asnSWrQoIEuXrx429oKALg9oqKi1KNHD9WsWVOS9Pzzz2vnzp368ccfdfnyZUVHR0u6/iVC3bp1LY/r2rWrJKlevXqqW7eu5T2+fv36cnFxkST98ssvSkxM1LBhwyyPMxgM+t///qcWLVqURvMAALdJzvu7i4uL7rrrLn311Vc6ceKEdu3apWrVqt308U888YQqVaokSbr//vt18eJF7dmzR02aNLHkhL59+2r27Nkl2g4gPxSUcMezt7fPs87O7vrFe3/99Zf69++v5557Tm3btlWPHj20bdu2mz5ndna2DAZDruXMzEzL8t+HsDk4OOT7OwCgbDIajTKbzZblnFySnZ0tf39/eXp6Srp+pWtaWpplP0dHR8vvBoPB8hw35oXs7Gy5u7vrvffes6w7c+aM5csOAED5kfP+/uOPP2rOnDkaPny4unbtqvvuu0/h4eE3fXzlypUtv+fkDXt7+1w5SPq/zy9AaeKswx3vzz//1J9//ilJWrt2rdzc3CzfOB88eFB16tTRa6+9po4dO1qKSVlZWTIajcrKysrzZi5JHTt21BdffCGz2az09HSFhIToscceK71GAQBKlKenp7777jtdvnxZ0vX59qTr7/+rV69Wenq6srOzNX36dL377rtWPbe7u7t++eUXHT16VNL1q6Gefvpppaam3t5GAABKzS+//KLOnTtr0KBBatWqlb7//ntlZWVJuv6lxI1fPt/Mww8/bBk9IUlbtmzRpUuXcn2hDZQGCkq44919991677335OPjo++//14LFy60bHv88cdVr1499ejRQz179tSZM2dUp04dxcfHy2QyqXXr1vL29tb58+dzPWdgYKDOnTsnHx8f+fj4qHHjxho1alRpNw0AUELc3d313HPPqX///vL19dXly5dVpUoVvfbaa3JxcVHfvn3l5eUls9msqVOnWvXcTZs21axZszRhwgQ9/fTTev/99/Xhhx8WaWgEAKBsGjBggHbv3i0fHx/17dtXDRs21MmTJ5WdnS1XV1edOHFCY8aMKdJz1apVS++++66mTJmivn37avv27TIajapSpUoJtwLIzWDO7/IK4A6xa9cuy10UAAAoqgMHDmjv3r0aOnSoJGnFihXat29frmFqAACUhJSUFC1dulR+fn6qUqWKfv/9d40cOVI///wzVymhVDGHEgAAgJUaN26sjz/+WCEhITIYDKpfv77efvttW4cFALgDVK9eXQ4ODurXr5+MRqOMRqPee+89ikkodVyhBAAAAAAAAKswhxIAAAAAAACsQkEJAAAAAAAAVqGgBAAAAAAAAKtQUAIAAAAAAIBVKCgBAAAAAADAKhSUAAAAAAAAYJX/B2xkJS5V4NBhAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Выведем топ 5 платформ, жанров и рейтингов за весь период\n",
    "user_portrait('eu_sales','Топ 5 платформ, жанров и рейтингов за весь период')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "ff304a48",
   "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>platform</th>\n",
       "      <th>eu_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ps4</td>\n",
       "      <td>31.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>xone</td>\n",
       "      <td>9.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pc</td>\n",
       "      <td>3.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3ds</td>\n",
       "      <td>2.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wiiu</td>\n",
       "      <td>1.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  platform  eu_sales\n",
       "0      ps4     31.78\n",
       "1     xone      9.63\n",
       "2       pc      3.53\n",
       "3      3ds      2.33\n",
       "4     wiiu      1.48"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>genre</th>\n",
       "      <th>eu_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>shooter</td>\n",
       "      <td>15.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sports</td>\n",
       "      <td>12.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>action</td>\n",
       "      <td>10.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>role-playing</td>\n",
       "      <td>4.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>racing</td>\n",
       "      <td>1.77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          genre  eu_sales\n",
       "0       shooter     15.90\n",
       "1        sports     12.01\n",
       "2        action     10.68\n",
       "3  role-playing      4.28\n",
       "4        racing      1.77"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>rating</th>\n",
       "      <th>eu_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>m</td>\n",
       "      <td>16.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>e</td>\n",
       "      <td>13.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>t</td>\n",
       "      <td>9.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e10+</td>\n",
       "      <td>3.81</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating  eu_sales\n",
       "0      m     16.54\n",
       "1      e     13.61\n",
       "2      t      9.79\n",
       "3   e10+      3.81"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Выведем топ 5 платформ, жанров и рейтингов за последний год\n",
    "user_portrait_2016('eu_sales','Топ 5 платформ, жанров и рейтингов за последний год')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "de4831b2",
   "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>platform</th>\n",
       "      <th>jp_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ds</td>\n",
       "      <td>175.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ps</td>\n",
       "      <td>139.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ps2</td>\n",
       "      <td>139.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>snes</td>\n",
       "      <td>116.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3ds</td>\n",
       "      <td>100.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  platform  jp_sales\n",
       "0       ds    175.57\n",
       "1       ps    139.82\n",
       "2      ps2    139.20\n",
       "3     snes    116.55\n",
       "4      3ds    100.67"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>genre</th>\n",
       "      <th>jp_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>role-playing</td>\n",
       "      <td>355.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>action</td>\n",
       "      <td>161.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>sports</td>\n",
       "      <td>135.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>platform</td>\n",
       "      <td>130.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>misc</td>\n",
       "      <td>108.11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          genre  jp_sales\n",
       "0  role-playing    355.46\n",
       "1        action    161.44\n",
       "2        sports    135.54\n",
       "3      platform    130.83\n",
       "4          misc    108.11"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>rating</th>\n",
       "      <th>jp_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e</td>\n",
       "      <td>198.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t</td>\n",
       "      <td>151.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>m</td>\n",
       "      <td>64.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e10+</td>\n",
       "      <td>40.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>k-a</td>\n",
       "      <td>1.46</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating  jp_sales\n",
       "0      e    198.11\n",
       "1      t    151.40\n",
       "2      m     64.24\n",
       "3   e10+     40.20\n",
       "4    k-a      1.46"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Выведем топ 5 платформ, жанров и рейтингов за весь период\n",
    "user_portrait('jp_sales','Топ 5 платформ, жанров и рейтингов за весь период')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "b91ce9f5",
   "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>platform</th>\n",
       "      <th>jp_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3ds</td>\n",
       "      <td>8.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ps4</td>\n",
       "      <td>5.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>psv</td>\n",
       "      <td>3.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ps3</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wiiu</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  platform  jp_sales\n",
       "0      3ds      8.03\n",
       "1      ps4      5.78\n",
       "2      psv      3.58\n",
       "3      ps3      1.30\n",
       "4     wiiu      0.67"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>genre</th>\n",
       "      <th>jp_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>action</td>\n",
       "      <td>7.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>role-playing</td>\n",
       "      <td>6.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>adventure</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>shooter</td>\n",
       "      <td>1.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>misc</td>\n",
       "      <td>1.04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          genre  jp_sales\n",
       "0        action      7.08\n",
       "1  role-playing      6.66\n",
       "2     adventure      1.18\n",
       "3       shooter      1.06\n",
       "4          misc      1.04"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>rating</th>\n",
       "      <th>jp_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>t</td>\n",
       "      <td>2.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>m</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>e</td>\n",
       "      <td>1.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e10+</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  rating  jp_sales\n",
       "0      t      2.27\n",
       "1      m      1.20\n",
       "2      e      1.07\n",
       "3   e10+      0.45"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Выведем топ 5 платформ, жанров и рейтингов за последний год\n",
    "user_portrait_2016('jp_sales','Топ 5 платформ, жанров и рейтингов за весь период')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d28478b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}