final project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f55ea19d",
   "metadata": {},
   "source": [
    "#    Video Game Sales with Ratings EDA\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef609189",
   "metadata": {},
   "source": [
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 724,
   "id": "09f07b38",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import libraries that be used\n",
    "import matplotlib.pyplot as plt \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "%config InlineBackend.figure_format='png'\n",
    "#to reduce the number and delete 'e' in numbers\n",
    "pd.set_option('display.float_format', lambda x: '%.4f' % x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 725,
   "id": "c488df16",
   "metadata": {},
   "outputs": [],
   "source": [
    "project =pd.read_csv('case study dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 726,
   "id": "7a6ec954",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\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>2006.0000</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.3600</td>\n",
       "      <td>28.9600</td>\n",
       "      <td>3.7700</td>\n",
       "      <td>8.4500</td>\n",
       "      <td>82.5300</td>\n",
       "      <td>76.0000</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>8</td>\n",
       "      <td>322.0000</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>1985.0000</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.0800</td>\n",
       "      <td>3.5800</td>\n",
       "      <td>6.8100</td>\n",
       "      <td>0.7700</td>\n",
       "      <td>40.2400</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>2008.0000</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.6800</td>\n",
       "      <td>12.7600</td>\n",
       "      <td>3.7900</td>\n",
       "      <td>3.2900</td>\n",
       "      <td>35.5200</td>\n",
       "      <td>82.0000</td>\n",
       "      <td>73.0000</td>\n",
       "      <td>8.3</td>\n",
       "      <td>709.0000</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>2009.0000</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.6100</td>\n",
       "      <td>10.9300</td>\n",
       "      <td>3.2800</td>\n",
       "      <td>2.9500</td>\n",
       "      <td>32.7700</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>73.0000</td>\n",
       "      <td>8</td>\n",
       "      <td>192.0000</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>1996.0000</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.2700</td>\n",
       "      <td>8.8900</td>\n",
       "      <td>10.2200</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>31.3700</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>1989.0000</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>23.2000</td>\n",
       "      <td>2.2600</td>\n",
       "      <td>4.2200</td>\n",
       "      <td>0.5800</td>\n",
       "      <td>30.2600</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>2006.0000</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.2800</td>\n",
       "      <td>9.1400</td>\n",
       "      <td>6.5000</td>\n",
       "      <td>2.8800</td>\n",
       "      <td>29.8000</td>\n",
       "      <td>89.0000</td>\n",
       "      <td>65.0000</td>\n",
       "      <td>8.5</td>\n",
       "      <td>431.0000</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>2006.0000</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>13.9600</td>\n",
       "      <td>9.1800</td>\n",
       "      <td>2.9300</td>\n",
       "      <td>2.8400</td>\n",
       "      <td>28.9200</td>\n",
       "      <td>58.0000</td>\n",
       "      <td>41.0000</td>\n",
       "      <td>6.6</td>\n",
       "      <td>129.0000</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>2009.0000</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>14.4400</td>\n",
       "      <td>6.9400</td>\n",
       "      <td>4.7000</td>\n",
       "      <td>2.2400</td>\n",
       "      <td>28.3200</td>\n",
       "      <td>87.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>8.4</td>\n",
       "      <td>594.0000</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name Platform  Year_of_Release         Genre  \\\n",
       "0                 Wii Sports      Wii        2006.0000        Sports   \n",
       "1          Super Mario Bros.      NES        1985.0000      Platform   \n",
       "2             Mario Kart Wii      Wii        2008.0000        Racing   \n",
       "3          Wii Sports Resort      Wii        2009.0000        Sports   \n",
       "4   Pokemon Red/Pokemon Blue       GB        1996.0000  Role-Playing   \n",
       "5                     Tetris       GB        1989.0000        Puzzle   \n",
       "6      New Super Mario Bros.       DS        2006.0000      Platform   \n",
       "7                   Wii Play      Wii        2006.0000          Misc   \n",
       "8  New Super Mario Bros. Wii      Wii        2009.0000      Platform   \n",
       "\n",
       "  Publisher  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0  Nintendo   41.3600   28.9600    3.7700       8.4500       82.5300   \n",
       "1  Nintendo   29.0800    3.5800    6.8100       0.7700       40.2400   \n",
       "2  Nintendo   15.6800   12.7600    3.7900       3.2900       35.5200   \n",
       "3  Nintendo   15.6100   10.9300    3.2800       2.9500       32.7700   \n",
       "4  Nintendo   11.2700    8.8900   10.2200       1.0000       31.3700   \n",
       "5  Nintendo   23.2000    2.2600    4.2200       0.5800       30.2600   \n",
       "6  Nintendo   11.2800    9.1400    6.5000       2.8800       29.8000   \n",
       "7  Nintendo   13.9600    9.1800    2.9300       2.8400       28.9200   \n",
       "8  Nintendo   14.4400    6.9400    4.7000       2.2400       28.3200   \n",
       "\n",
       "   Critic_Score  Critic_Count User_Score  User_Count Developer Rating  \n",
       "0       76.0000       51.0000          8    322.0000  Nintendo      E  \n",
       "1           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "2       82.0000       73.0000        8.3    709.0000  Nintendo      E  \n",
       "3       80.0000       73.0000          8    192.0000  Nintendo      E  \n",
       "4           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "5           NaN           NaN        NaN         NaN       NaN    NaN  \n",
       "6       89.0000       65.0000        8.5    431.0000  Nintendo      E  \n",
       "7       58.0000       41.0000        6.6    129.0000  Nintendo      E  \n",
       "8       87.0000       80.0000        8.4    594.0000  Nintendo      E  "
      ]
     },
     "execution_count": 726,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show the first 9 rows\n",
    "project.head(9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 727,
   "id": "1c5fbe47",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<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>16714</th>\n",
       "      <td>Samurai Warriors: Sanada Maru</td>\n",
       "      <td>PS3</td>\n",
       "      <td>2016.0000</td>\n",
       "      <td>Action</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</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>2006.0000</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Codemasters</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</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>2016.0000</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Idea Factory</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</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>2003.0000</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Wanadoo</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</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>2016.0000</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Tecmo Koei</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</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",
       "16714  Samurai Warriors: Sanada Maru      PS3        2016.0000      Action   \n",
       "16715               LMA Manager 2007     X360        2006.0000      Sports   \n",
       "16716        Haitaka no Psychedelica      PSV        2016.0000   Adventure   \n",
       "16717               Spirits & Spells      GBA        2003.0000    Platform   \n",
       "16718            Winning Post 8 2016      PSV        2016.0000  Simulation   \n",
       "\n",
       "          Publisher  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "16714    Tecmo Koei    0.0000    0.0000    0.0100       0.0000        0.0100   \n",
       "16715   Codemasters    0.0000    0.0100    0.0000       0.0000        0.0100   \n",
       "16716  Idea Factory    0.0000    0.0000    0.0100       0.0000        0.0100   \n",
       "16717       Wanadoo    0.0100    0.0000    0.0000       0.0000        0.0100   \n",
       "16718    Tecmo Koei    0.0000    0.0000    0.0100       0.0000        0.0100   \n",
       "\n",
       "       Critic_Score  Critic_Count User_Score  User_Count Developer Rating  \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  "
      ]
     },
     "execution_count": 727,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show the last 5 rows by default\n",
    "project.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 728,
   "id": "6502aac4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16719, 16)"
      ]
     },
     "execution_count": 728,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the numbers of rows & columns in the dataframe\n",
    "project.shape "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 729,
   "id": "5482373e",
   "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": 729,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#shows the name of columns\n",
    "project.columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 730,
   "id": "99f14b90",
   "metadata": {
    "scrolled": true
   },
   "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       10015 non-null  object \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(9), object(7)\n",
      "memory usage: 2.0+ MB\n"
     ]
    }
   ],
   "source": [
    "#print a concise summary of a DataFrame\n",
    "project.info() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 731,
   "id": "b5bbf97b",
   "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>Year_of_Release</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_Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>16450.0000</td>\n",
       "      <td>16719.0000</td>\n",
       "      <td>16719.0000</td>\n",
       "      <td>16719.0000</td>\n",
       "      <td>16719.0000</td>\n",
       "      <td>16719.0000</td>\n",
       "      <td>8137.0000</td>\n",
       "      <td>8137.0000</td>\n",
       "      <td>7590.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2006.4874</td>\n",
       "      <td>0.2633</td>\n",
       "      <td>0.1450</td>\n",
       "      <td>0.0776</td>\n",
       "      <td>0.0473</td>\n",
       "      <td>0.5335</td>\n",
       "      <td>68.9677</td>\n",
       "      <td>26.3608</td>\n",
       "      <td>162.2299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.8790</td>\n",
       "      <td>0.8135</td>\n",
       "      <td>0.5033</td>\n",
       "      <td>0.3088</td>\n",
       "      <td>0.1867</td>\n",
       "      <td>1.5479</td>\n",
       "      <td>13.9382</td>\n",
       "      <td>18.9805</td>\n",
       "      <td>561.2823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1980.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>3.0000</td>\n",
       "      <td>4.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2003.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0600</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>12.0000</td>\n",
       "      <td>10.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2007.0000</td>\n",
       "      <td>0.0800</td>\n",
       "      <td>0.0200</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>24.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2010.0000</td>\n",
       "      <td>0.2400</td>\n",
       "      <td>0.1100</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>0.0300</td>\n",
       "      <td>0.4700</td>\n",
       "      <td>79.0000</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>81.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2020.0000</td>\n",
       "      <td>41.3600</td>\n",
       "      <td>28.9600</td>\n",
       "      <td>10.2200</td>\n",
       "      <td>10.5700</td>\n",
       "      <td>82.5300</td>\n",
       "      <td>98.0000</td>\n",
       "      <td>113.0000</td>\n",
       "      <td>10665.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Year_of_Release   NA_Sales   EU_Sales   JP_Sales  Other_Sales  \\\n",
       "count       16450.0000 16719.0000 16719.0000 16719.0000   16719.0000   \n",
       "mean         2006.4874     0.2633     0.1450     0.0776       0.0473   \n",
       "std             5.8790     0.8135     0.5033     0.3088       0.1867   \n",
       "min          1980.0000     0.0000     0.0000     0.0000       0.0000   \n",
       "25%          2003.0000     0.0000     0.0000     0.0000       0.0000   \n",
       "50%          2007.0000     0.0800     0.0200     0.0000       0.0100   \n",
       "75%          2010.0000     0.2400     0.1100     0.0400       0.0300   \n",
       "max          2020.0000    41.3600    28.9600    10.2200      10.5700   \n",
       "\n",
       "       Global_Sales  Critic_Score  Critic_Count  User_Count  \n",
       "count    16719.0000     8137.0000     8137.0000   7590.0000  \n",
       "mean         0.5335       68.9677       26.3608    162.2299  \n",
       "std          1.5479       13.9382       18.9805    561.2823  \n",
       "min          0.0100       13.0000        3.0000      4.0000  \n",
       "25%          0.0600       60.0000       12.0000     10.0000  \n",
       "50%          0.1700       71.0000       21.0000     24.0000  \n",
       "75%          0.4700       79.0000       36.0000     81.0000  \n",
       "max         82.5300       98.0000      113.0000  10665.0000  "
      ]
     },
     "execution_count": 731,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#used to view some basic statistical details.\n",
    "project.describe() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 732,
   "id": "0fb1e3ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3.770e+00, 6.810e+00, 3.790e+00, 3.280e+00, 1.022e+01, 4.220e+00,\n",
       "       6.500e+00, 2.930e+00, 4.700e+00, 2.800e-01, 1.930e+00, 4.130e+00,\n",
       "       7.200e+00, 3.600e+00, 2.400e-01, 2.530e+00, 9.800e-01, 4.100e-01,\n",
       "       3.540e+00, 4.160e+00, 6.040e+00, 4.180e+00, 3.840e+00, 6.000e-02,\n",
       "       4.700e-01, 5.380e+00, 5.320e+00, 5.650e+00, 1.870e+00, 1.300e-01,\n",
       "       3.120e+00, 3.600e-01, 1.100e-01, 4.350e+00, 6.500e-01, 7.000e-02,\n",
       "       8.000e-02, 4.900e-01, 3.000e-01, 2.660e+00, 2.690e+00, 4.800e-01,\n",
       "       3.800e-01, 5.330e+00, 1.910e+00, 3.960e+00, 3.100e+00, 1.100e+00,\n",
       "       1.200e+00, 1.400e-01, 2.540e+00, 2.140e+00, 8.100e-01, 2.120e+00,\n",
       "       4.400e-01, 3.150e+00, 1.250e+00, 4.000e-02, 0.000e+00, 2.470e+00,\n",
       "       2.230e+00, 1.690e+00, 1.000e-02, 3.000e+00, 2.000e-02, 4.390e+00,\n",
       "       1.980e+00, 1.000e-01, 3.810e+00, 5.000e-02, 2.490e+00, 1.580e+00,\n",
       "       3.140e+00, 2.730e+00, 6.600e-01, 2.200e-01, 3.630e+00, 1.450e+00,\n",
       "       1.310e+00, 2.430e+00, 7.000e-01, 3.500e-01, 1.400e+00, 6.000e-01,\n",
       "       2.260e+00, 1.420e+00, 1.280e+00, 1.390e+00, 8.700e-01, 1.700e-01,\n",
       "       9.400e-01, 1.900e-01, 2.100e-01, 1.600e+00, 1.600e-01, 1.030e+00,\n",
       "       2.500e-01, 2.060e+00, 1.490e+00, 1.290e+00, 9.000e-02, 2.870e+00,\n",
       "       3.000e-02, 7.800e-01, 8.300e-01, 2.330e+00, 2.020e+00, 1.360e+00,\n",
       "       1.810e+00, 1.970e+00, 9.100e-01, 9.900e-01, 9.500e-01, 2.000e+00,\n",
       "       1.010e+00, 2.780e+00, 2.110e+00, 1.090e+00, 2.000e-01, 1.900e+00,\n",
       "       1.270e+00, 3.610e+00, 1.570e+00, 2.200e+00, 1.700e+00, 1.080e+00,\n",
       "       1.500e-01, 1.110e+00, 2.900e-01, 1.540e+00, 1.200e-01, 8.900e-01,\n",
       "       4.870e+00, 1.520e+00, 1.320e+00, 1.150e+00, 4.100e+00, 1.460e+00,\n",
       "       4.600e-01, 1.050e+00, 1.610e+00, 2.600e-01, 1.380e+00, 6.200e-01,\n",
       "       7.300e-01, 5.700e-01, 3.100e-01, 5.800e-01, 1.760e+00, 2.100e+00,\n",
       "       9.000e-01, 5.100e-01, 6.400e-01, 2.460e+00, 2.300e-01, 3.700e-01,\n",
       "       9.200e-01, 1.070e+00, 2.620e+00, 1.120e+00, 5.400e-01, 2.700e-01,\n",
       "       5.900e-01, 3.670e+00, 5.500e-01, 1.750e+00, 3.440e+00, 3.300e-01,\n",
       "       2.550e+00, 2.320e+00, 2.790e+00, 7.400e-01, 3.180e+00, 8.200e-01,\n",
       "       7.700e-01, 4.000e-01, 2.350e+00, 3.190e+00, 8.000e-01, 7.600e-01,\n",
       "       3.030e+00, 8.800e-01, 4.500e-01, 1.160e+00, 3.400e-01, 1.190e+00,\n",
       "       1.130e+00, 2.130e+00, 1.960e+00, 7.100e-01, 1.040e+00, 2.680e+00,\n",
       "       6.800e-01, 2.650e+00, 9.600e-01, 2.410e+00, 5.200e-01, 1.800e-01,\n",
       "       1.340e+00, 1.480e+00, 2.340e+00, 1.060e+00, 1.210e+00, 2.290e+00,\n",
       "       1.630e+00, 2.050e+00, 2.170e+00, 1.560e+00, 1.350e+00, 1.330e+00,\n",
       "       6.300e-01, 7.900e-01, 7.500e-01, 5.300e-01, 1.530e+00, 1.300e+00,\n",
       "       3.900e-01, 6.900e-01, 4.200e-01, 9.300e-01, 5.600e-01, 8.400e-01,\n",
       "       7.200e-01, 3.200e-01, 1.710e+00, 1.650e+00, 6.100e-01, 1.510e+00,\n",
       "       1.500e+00, 1.440e+00, 1.240e+00, 1.180e+00, 1.370e+00, 1.000e+00,\n",
       "       1.260e+00, 8.500e-01, 4.300e-01, 6.700e-01, 1.140e+00, 8.600e-01,\n",
       "       1.170e+00, 5.000e-01, 1.020e+00, 9.700e-01])"
      ]
     },
     "execution_count": 732,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#are returned in order of appearance\n",
    "project.JP_Sales.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 733,
   "id": "3d1ff3e2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   16719.0000\n",
       "mean        0.5335\n",
       "std         1.5479\n",
       "min         0.0100\n",
       "25%         0.0600\n",
       "50%         0.1700\n",
       "75%         0.4700\n",
       "max        82.5300\n",
       "Name: Global_Sales, dtype: float64"
      ]
     },
     "execution_count": 733,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to describe specific column\n",
    "project.Global_Sales.describe() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 734,
   "id": "887ce71e",
   "metadata": {
    "scrolled": true
   },
   "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         6704\n",
       "User_Count         9129\n",
       "Developer          6623\n",
       "Rating             6769\n",
       "dtype: int64"
      ]
     },
     "execution_count": 734,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#find sum of null values\n",
    "project.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70d7cddb",
   "metadata": {},
   "source": [
    "### After I read data and know certain informations about each columns i will start to clean the Dataset.\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 735,
   "id": "eeb0655c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "E       3991\n",
       "T       2961\n",
       "M       1563\n",
       "E10+    1420\n",
       "EC         8\n",
       "K-A        3\n",
       "RP         3\n",
       "AO         1\n",
       "Name: Rating, dtype: int64"
      ]
     },
     "execution_count": 735,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Return the counts of values in a Series.\n",
    "project.Rating.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 736,
   "id": "3bcf520a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Replace NULL values with a value\n",
    "project.Rating.fillna('E',inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 737,
   "id": "dc8f1b77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 737,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check nulls\n",
    "project.Rating.isna().sum() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 738,
   "id": "0b691371",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.dropna(subset=['Publisher'],inplace=True) #drob null values by rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 739,
   "id": "2d15ecab",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.dropna(subset=['Name'],inplace=True) #drob null values by rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 740,
   "id": "a5f837a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.dropna(subset=['Year_of_Release'],inplace=True)  #drob null values by rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 741,
   "id": "1fc03125",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.dropna(subset=['Developer'],inplace=True)  #drob null values by rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 742,
   "id": "d58a04dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.dropna(subset=['Genre'],inplace=True) #drob null values by rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 743,
   "id": "0d5699c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.dropna(subset=['User_Score'],inplace=True) #drob null values by rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 744,
   "id": "855fb1da",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.dropna(subset=['Critic_Score'],inplace=True) #drob null values by rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 745,
   "id": "a8902a8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.drop(['Critic_Count','User_Count','Developer','Other_Sales'], axis='columns', inplace=True)#drob unnecessary columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 746,
   "id": "e18097ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "project.Critic_Score=project.Critic_Score.astype('int16')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 747,
   "id": "4924041e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name               0\n",
       "Platform           0\n",
       "Year_of_Release    0\n",
       "Genre              0\n",
       "Publisher          0\n",
       "NA_Sales           0\n",
       "EU_Sales           0\n",
       "JP_Sales           0\n",
       "Global_Sales       0\n",
       "Critic_Score       0\n",
       "User_Score         0\n",
       "Rating             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 747,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "project.isna().sum() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 748,
   "id": "bf1ee6c2",
   "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>Global_Sales</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>User_Score</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>2006.0000</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.3600</td>\n",
       "      <td>28.9600</td>\n",
       "      <td>3.7700</td>\n",
       "      <td>82.5300</td>\n",
       "      <td>76</td>\n",
       "      <td>8</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2008.0000</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.6800</td>\n",
       "      <td>12.7600</td>\n",
       "      <td>3.7900</td>\n",
       "      <td>35.5200</td>\n",
       "      <td>82</td>\n",
       "      <td>8.3</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>2009.0000</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.6100</td>\n",
       "      <td>10.9300</td>\n",
       "      <td>3.2800</td>\n",
       "      <td>32.7700</td>\n",
       "      <td>80</td>\n",
       "      <td>8</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Super Mario Bros.</td>\n",
       "      <td>DS</td>\n",
       "      <td>2006.0000</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.2800</td>\n",
       "      <td>9.1400</td>\n",
       "      <td>6.5000</td>\n",
       "      <td>29.8000</td>\n",
       "      <td>89</td>\n",
       "      <td>8.5</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Wii Play</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0000</td>\n",
       "      <td>Misc</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>13.9600</td>\n",
       "      <td>9.1800</td>\n",
       "      <td>2.9300</td>\n",
       "      <td>28.9200</td>\n",
       "      <td>58</td>\n",
       "      <td>6.6</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Name Platform  Year_of_Release     Genre Publisher  \\\n",
       "0             Wii Sports      Wii        2006.0000    Sports  Nintendo   \n",
       "2         Mario Kart Wii      Wii        2008.0000    Racing  Nintendo   \n",
       "3      Wii Sports Resort      Wii        2009.0000    Sports  Nintendo   \n",
       "6  New Super Mario Bros.       DS        2006.0000  Platform  Nintendo   \n",
       "7               Wii Play      Wii        2006.0000      Misc  Nintendo   \n",
       "\n",
       "   NA_Sales  EU_Sales  JP_Sales  Global_Sales  Critic_Score User_Score Rating  \n",
       "0   41.3600   28.9600    3.7700       82.5300            76          8      E  \n",
       "2   15.6800   12.7600    3.7900       35.5200            82        8.3      E  \n",
       "3   15.6100   10.9300    3.2800       32.7700            80          8      E  \n",
       "6   11.2800    9.1400    6.5000       29.8000            89        8.5      E  \n",
       "7   13.9600    9.1800    2.9300       28.9200            58        6.6      E  "
      ]
     },
     "execution_count": 748,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "project.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 749,
   "id": "0be712e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2016.0"
      ]
     },
     "execution_count": 749,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "project.Year_of_Release.max() # find the Range years of the data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 750,
   "id": "4955884c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1985.0"
      ]
     },
     "execution_count": 750,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "project.Year_of_Release.min() # find the Range years of the data set"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e91e98ac",
   "metadata": {},
   "source": [
    "#### This Dataset Define games From 1985 - 2016\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1b47996",
   "metadata": {},
   "source": [
    "# OBJECT of analysis start answer the questions:\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b380a009",
   "metadata": {},
   "source": [
    "## Q1. Are the rating of Critics and Users Score affect the sales? \n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 751,
   "id": "884b01b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "y=project.groupby(['User_Score','Critic_Score'])[['Global_Sales']].sum().sort_values('Global_Sales',ascending=False).iloc[0:70].sort_values('User_Score',ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 752,
   "id": "dfe57315",
   "metadata": {},
   "outputs": [],
   "source": [
    "y=y.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 753,
   "id": "a5904ab6",
   "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>User_Score</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Global_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.2</td>\n",
       "      <td>88</td>\n",
       "      <td>13.3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.4</td>\n",
       "      <td>88</td>\n",
       "      <td>14.7300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.8</td>\n",
       "      <td>83</td>\n",
       "      <td>13.6700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.3</td>\n",
       "      <td>83</td>\n",
       "      <td>14.8100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.3</td>\n",
       "      <td>61</td>\n",
       "      <td>21.8100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  User_Score  Critic_Score  Global_Sales\n",
       "0        3.2            88       13.3200\n",
       "1        3.4            88       14.7300\n",
       "2        4.8            83       13.6700\n",
       "3        5.3            83       14.8100\n",
       "4        6.3            61       21.8100"
      ]
     },
     "execution_count": 753,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 754,
   "id": "38162186",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['User_Score', 'Critic_Score', 'Global_Sales'], dtype='object')"
      ]
     },
     "execution_count": 754,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#start with find the Relationship User_Score:\n",
    "y.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 755,
   "id": "76bd0075",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt visualization formats\n",
    "plt.scatter(y.User_Score,y.Global_Sales,marker = '.',color='black',s = 100, alpha = 0.5)\n",
    "plt.xticks(rotation =90);\n",
    "plt.title('Relationship curve',family='serif',fontsize = 22,pad=30,color='#556B2F');\n",
    "plt.xlabel('User Score',fontsize = 10,color='#556B2F');\n",
    "plt.ylabel('Global Sales in M',fontsize = 10, color='#556B2F');\n",
    "plt.rcParams[\"figure.figsize\"] = [7,3]\n",
    "plt.grid()\n",
    "plt.savefig('imageq1.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 756,
   "id": "8538ea72",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=project.groupby(['User_Score','Critic_Score'])[['Global_Sales']].sum().sort_values('Global_Sales',ascending=False).iloc[0:200]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 757,
   "id": "481abe78",
   "metadata": {},
   "outputs": [],
   "source": [
    "#then find the Relationship Critic_Score:\n",
    "x=x.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 758,
   "id": "6a2a1328",
   "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>User_Score</th>\n",
       "      <th>Critic_Score</th>\n",
       "      <th>Global_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8</td>\n",
       "      <td>76</td>\n",
       "      <td>87.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.5</td>\n",
       "      <td>89</td>\n",
       "      <td>46.4600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8.6</td>\n",
       "      <td>91</td>\n",
       "      <td>42.6300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8.3</td>\n",
       "      <td>82</td>\n",
       "      <td>37.7800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>80</td>\n",
       "      <td>36.5700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  User_Score  Critic_Score  Global_Sales\n",
       "0          8            76       87.1000\n",
       "1        8.5            89       46.4600\n",
       "2        8.6            91       42.6300\n",
       "3        8.3            82       37.7800\n",
       "4          8            80       36.5700"
      ]
     },
     "execution_count": 758,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 759,
   "id": "444e2c0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UKVRUVFBQINe5Ij9JgBNiiIjH49x2223U1NQEy8466yyWLVsmQU7kJflWCzFE1NXVUVNTw4wZM5g1axYzZsygpqaGurq6bCdNiEhIgBNiiGhoaAAISmv+444dO7KWJiGiJAFOiCFiypQpgFtVmfg4efLkrKVJiChJG5wQQ0RFRQVnnXXWEW1wFRUVWUyVENGRACfEEFFQUMCyZcuoqqpix44dTJ48WXpRirwmAU6IIaSgoIDKykoqKyuznRQhIieXbkIIIfKSBDghhBB5SQKcEEKIvCQBTgghRF6SACeEECIvRRrglFJfU0q9qpTaqJS6Syk1TCk1Tin1hFLqDe+xLMo0CCGEGJoiC3BKqWnAV4D5WuuTgULgU8D1wCqt9fHAKu+5EEIIcVRFXUVZBAxXShUBI4DtwMXAHd7rdwCXRJwGIYQQQ5DSWke3c6W+CvwIOAg8rrX+rFJqr9Z6bMI6zVrrI6oplVLXANcAlJeXz7v77rsjSydAa2sro0aNivQYg5nkT2qSR+Ekf1KTPArXM38WLVq0QWs9P9n6kc1k4rWtXQzMAvYC9yilPpfu9lrr5cBygPnz5+vq6uoIUnnY6tWrifoYg5nkT2qSR+Ekf1KTPArX1/yJsoryw8DbWusmrXUHcD+wANiplJoC4D02RpgGIYQQQ1SUAW4L8EGl1AillAIWA5uAh4ArvHWuAB6MMA1CCCGGqMiqKLXW65RS9wIvAp3AS7hVjqMAWyl1FW4Q/ERUaRBCCDF0RXo3Aa31d4Hv9ljchluaE0IIISIjM5kIIYTISxLghBBC5CUJcEIIIfKSBDghhBB5SQKcEEKIvCQBTgghRF6SACeEECIvSYATQgiRlyTACSGEyEsS4IQQQuQlCXBCCCHykgQ4IYQQeUkCnBBCiLwkAU4IIURekgAnhBAiLyW9H5xpGa8keUkB2o45c6NJkhBCCJG5sBuexgEN/AH4M3BwQFIkhBBCHAVJqyjtmGMAnwZG4Qa5HwEnAdvsmFM/IKkTQggh+imsBIcdczYD3wW+a1rGJ4HfAT8BfjYAaRNCCCH6LTTAmZYxDfgU8DGgGfga8MAApEsIIYTISNIqStMy1uC2vRUDS4ErgL8AJaZljBuQ1AkhhBD9FFaCm4HbyeSfgGsSlitv+ewI0yWEEEJkJGmAs2POzAFMhxBCCHFUyUBvIYQQeUkCnBBCiLwkAU4IIUReCh0m4DMtoxAoT1zfjjlbokqUEEIIkamUAc60jC/jDvbeiTt9F7i9KGUuSiGEEDkrnRLcV4H32zFnd193rpQaC6wATsYNisuA14E/AjOBdwBTa93c130LIYQQYdJpg3sX2NfP/d8M/FVrPQc4BdgEXA+s0lofD6zyngshhBBHVToluLeA1aZl/AVo8xfaMec/wzZSSo0BqnBnQUFr3Q60K6UuBqq91e4AVgPX9THdQgghRKh0AtwW76/E+0vXbKAJWKmUOgXYgFvdWa61bgDQWjcopSb1trFS6hq8GVTKy8tZvXp1Hw7dd62trZEfYzCT/ElN8iic5E9qkkfh+po/SmsdSUKUUvOB54CFWut1Sqmbgf3Al7XWYxPWa9Zal4Xta/78+Xr9+vWRpNO3evVqqqurIz3GYCb5k5rkUTjJn9Qkj8L1zB+l1Aat9fxk64fd0fsmO+Zca1rGn3E7iHRjx5yLUqRlK7BVa73Oe34vbnvbTqXUFK/0NgVoTLEfIYQQos/Cqijv9B5/3p8da613KKXeVUq9X2v9OrAYeM37uwK40Xt8sD/7F0IIIcKETba8wXtck8H+vwz8XilVgttZ5Urcnpu2Uuoq3La9T2SwfyGEEKJXac1k0l9aawforX50cZTHFUIIIWQuSiGEEHmpTwHOtIwC0zLGRJUYIYQQ4mhJZy7KPwD/B+jCHct2jGkZ/2nHnJ9FnTghhBCiv9IpwZ1ox5z9wCXAI8D7gMujTJQQQgiRqXQCXLFpGcW4Ae5BO+Z00Mu4OCGEECKXpBPgbsGd9X8k8LRpGTNwZyQRQgghclbKNjg75vwS+GXConrTMhZFlyQhhBAic+l0MikH/gOYasecj5iWcSLwj8CtUSdOCCGE6K90qihvBx4DpnrPa4FrI0qPEEIIcVSkE+Am2DHHBuIAdszpxB0yIIQQQuSsdALcAdMyxuP1nDQt44P0/w7fQgghxIBIZy7KrwMPAceZlrEWmAh8PNJUCSGEEBlKWYKzY86LwNnAAuCfgJPsmPNK1AkTQgghMhF2w9NLk7xUaVoGdsy5P6I0CSGEEBkLq6K8MOQ1DUiAE0IIkbPCbnh65UAmRAghhDia0rrhqWkZHwVOAob5y+yY84OoEiWEEPkmHo9TV1dHQ0MDU6ZMoaKigoICuSVnlNKZyeQ3wAhgEbACtwfl8xGnSwgh8kY8Hue2226jpqYmWHbWWWexbNkyCXIRSidnF9gx5/NAsx1zvo87Tdex0SZLCCHyR11dHTU1NcyYMYNZs2YxY8YMampqqKury3bS8lo6Ae6g9/ieaRlTgQ5gVnRJEkKI/NLQ0AAQlNb8xx07dmQtTUNBOm1wD5uWMRb4GfAibg/K30aZKCGEyCdTpkwB3KrKgoIC4vE4AJMnT85msvJeOrfL+Xfv3/tMy3gYGGbHHJmqSwgh0lRRUcFZZ511RBtcRUVFFlOV/8IGep8GvGvHnB3e888Dl+HeD+57dszZM0BpFEKIQa2goIBly5ZRVVXFjh07mDx5svSiHABhJbhbgA8DmJZRBdwIfBkwgOXIfJRCCJG2goICKisrqays7NN2Mryg/8ICXGFCKe2TwHI75tyHW1XpRJ4yIYQY4mR4QWbCcqjQtAw/AC4Gnkx4La0B4kIIIfpPhhdkJizA3QWsMS3jQdyhAjUApmVUIPeDE0KIyMnwgswkDXB2zPkR8A3gduBMO+bohG2+HH3ShBBiaEscXpD4KMML0hNa1WjHnOd6WVbblwMopQqB9cA2rfUFSqlxwB+BmcA7gKm1bu7LPoUQYiiQ4QWZGYi2tK8Cm4Ax3vPrgVVa6xuVUtd7z68bgHQIIcSgIsMLMhNpLimlpgMfxZ2k2XcxcIf3/x3AJVGmQQghBjN/eEFVVRWVlZUS3PpAaa1Tr9XfnSt1L/BjYDTwTa+Kcq/WemzCOs1a67Jetr0GuAagvLx83t133x1ZOgFaW1sZNWpUpMcYzCR/UpM8Cif5k5rkUbie+bNo0aINWuv5ydYPm8mkBXfeyZ4UoO2YM6aX1w6vpNQFQKPWeoNSqjpFuo+gtV6OO6Cc+fPn6+rqPu+iT1avXk3UxxjMJH9SkzwK15/8GWqDnOU7FK6v+RN2R+/RGaZlIXCRUup83BuljlFK/Q+wUyk1RWvdoJSaAjRmeBwhRB6SQc4iU2l3MjEtYxLd7+i9JWx9rfW3gW8DeCW4b2qtP6eU+hlwBe7UX1cAD/Y51UKIQcMvhbW2tlJbW5t2KSxxkLM/A39NTU3QFiVEKunc0fsi4BfAVNzS1gzcXpEn9fOYNwK2UuoqYAvwiX7uRwiR4xJLYYsWLeKee+5JuxQWNshZApxIRzrl/H8HPgjU2jFnFu60XWv7chCt9Wqt9QXe/7u11ou11sd7j3JXAiHyVGIprLS0tE9TTckgZ5GpdAJchx1zdgMFpmUU2DHnKdw7CgghRKhMppryBznX19fz9ttvU19fL4OcRZ+k0wa317SMUbhzUf7etIxGoDPaZAkh8kEmpTAZ5CwylU6Auxg4BFwLfBY4BvhBhGkSQuSJxKmmZs+e3edSWH/voSYyky/DM1IGODvmHDAtYzJwOrAHeMyrshRCiFCJpbDa2lpuuOGGQXuyHCryaXhGytSalnE18DxwKe5dvJ8zLWNZ1AkTQgy8eDxObW0ta9asoba2NqhSzIRfChs1apRMNTUI5NM96NKpovy/wKl+qc20jPHAs8BtUSZMCDGw8unKXfRfPg3PSOdbuxVoSXjeArwbTXKEENmST1fuov/yaXhG2FyUX/f+3Qas8+7srXE7nTw/AGkTQgygfLpyj0q+dL4Ik0/3oAurovTnonzT+/PJ1FpC5KHEK3d/aiwYnFfuURgqVbj5NDwjbLLl7yc+Ny1jNO5dBFojT5UQYsDl05V7FIbS3Jj5MjwjnbkoTwbuBMZ5z3cBn7djzqsRp00IMYDy6co9ClKFO/ik04tyOfB1b4ouTMuoBn4LLIgwXeIoGwptByJz+XLlHgWpwh180glwI/3gBmDHnNWmZYyMME3iKBsqbQdCREmqcAefdALcW6Zl/CtuNSXA54C3o0uSONqGUtuByD39vR9crpEq3MEnnU9mGTARuB94wPv/yigTJY6uTGZ0FyIT8XicFStWcN1119HQ0MB1113HihUrjsoMKdngV+H6F4cS3HJbOnNRNgNfGYC0iIhI24HIltraWlauXMmBAwfo6OjgzTffZOXKlVRVVTFnzpxsJ0/kubCB3n/GHdjdKzvmXBRJisRRJ20HIlvWr19PY2Mj06dPp6ioiLKyMrZu3cqGDRskwInIhZXgfj5gqRCRkrYDIcRQFDbQe81AJkRES7p/i2yYP38+5eXlNDc309nZSXNzM+Xl5cybNy/bSRNDQFgV5cXAdDvm/Mp7vg63gwnAt+yYc+8ApE8IMYhVVlaydOlSHnnkEYqLi5k9ezbnn3++XGiJARFWRfkt4FMJz0uB04CRwEpAApwQIlRBQQFXX3011dXV1NbW8tOf/lSqx8WACQtwJXbMSbwtzjPePeF2y0BvIUS6/Orx7du3S8kthwyF2Y3CAlxZ4hM75lgJTycihBBiUBoqsxuFvZN1pmV8oedC0zL+CbkfnBAih8XjcWpra1mzZg21tbWDdmB5VIbKzW3DSnBfA/5kWsZngBe9ZfNw2+IuiThdQogQQ6F6qb/yrXQSxWc9VO6MEDZMoBFYYFrGh4CTvMV/sWPOkwOSMjEoyIl24OXbCfxoy6e5V6P6rIfK7EbpTNX1JCBBTRxBTrTZkU8n8CjkU+kkqs86ytmNcumiN527CQjRKznRZkc+ncCjkE+lk6g+66hmN8q1i97IApxS6ljgd8BkIA4s11rfrJQaB/wRmAm8A5ha6+ao0iGiIyfa7MjkBJ5LV9dRqaioYOHChTz66KO89957jBgxgo985CODcu7VKIN1FLMb5dpFb5QluE7gG1rrF5VSo4ENSqkngKXAKq31jUqp64HrgesiTIeISD5dKQ8m/a1eyrWr63RkEpC11iil0DrpnPE5b7BNlJ5rF72RBTitdQPQ4P3fopTaBEwDLgaqvdXuAFYjAW5QGmw/vnzR3+qlXLu6TqW/Abmuro61a9cyd+7c4H2uXbuW6urq4H0OlpJslBOlR5EHuXbRqwbi6kYpNRN4GjgZ2KK1HpvwWrPWuqyXba4BrgEoLy+fd/fdd0eaxtbWVkaNGhXpMQazsPxpa2ujo6OD4uJiSktLBzhluSPXv0Otra3s2rWr22fU1tbGhAkTuqU7qs+zr/nT1tZGQ0MDJSUlQUmsvb2dKVOmhKYrnfe5a9cuWltbg9dHjRrFhAkT+vGujq7+fIf279/PoUOHGDZsGGPGjEl7u6jyIMq87Zk/ixYt2qC1np9s/cg7mSilRgH3AddqrfcrpdLaTmu9HFgOMH/+fF1dXR1ZGgFWr15N1McYzCR/Usv1PKqtreWee+7pVoKrr6/nhhtuoLKyMvIqzL7mz5o1a3jqqaeYNWtWsOztt9/mqquuoqqqKul2qd6nfxPWZK9nU1/yqLOzk2XLlrF27dpg2cKFC7ntttsoKioK1lm1ahWbN29mzpw5LF68mKKiokjzwC8ZRnFrrr5+hyINcEqpYtzg9nut9f3e4p1KqSla6wal1BSgMco0CCFcqaqUc60Ks7/VXaneZybtRLlUtblq1SrWrl3LtGnTulXFrlq1iiVLloQGwCjbynLp1lxR9qJUwK3AJq31fya89BBwBXCj9/hgVGkQQhyWqj0n1zoI9LeNN9X7nDJlClprmpqaOHDgACNHjkRrHQTOZEEs1zrpbN68OXi/iY+1tbUsWbIkNAD6peJkFw9hgTyXgnwqUZbgFgKXA39XSjnesu/gBjZbKXUVsAX4RIRpEEIkCLu6jqqDgH9CbG1tpba29ogTYrITZiYdLMLe5+zZswH461//GixbuHAhs2fPDg1iuVbCnTNnDnDk5+WnJSwAnnPOOUkvHuLxOCtWrDhimMXVV18NkDLI51IAjLIX5TNAsga3xVEdVwjRP1H0ik0MGIsWLeKee+7pdkJMVSqKorrrrbfeAuC8884LTuAtLS3B8mRBrKGhAa01zc3NtLS0MHr0aLTWWSvhLl68mIULFx5RBbl4sXt6DQuABQUFLF26lGOPPZbXX3+d97///SxevJiCggI2b97MypUrOXDgQNC5Z+XKlVRVVVFQUMDTTz/N6NGjg9Lv008/HQT5XCvlykwmQgggmi7piaWe0tLSYNZ6/4SYjVJRQ0MDSikmTjx816/W1lZ27NiB1jppECsvL+eNN97oduIfOXIkkyZNiiSdqRQVFXHbbbexatUqamtrqaysDDqRQHgAjMfj3H777UEg2rBhA++++y7Lli1j/fr1NDY2Mn369OB9bt26lQ0bNjB16lTeeOMN3nvvvWCfI0aMCO71l2ulXAlwQgxCUVUDHe0SU2Kpp62tjebm5m6lnlTtflG0BYVVxcbj8dAg1rMXeOLzTD6TsGrcsP0WFRWxZMkSlixZcsQ+wwJgbW1t0kAUpr29ncbGxm7tetu2baOtrQ3IvXZcCXBCZEl/T4jZqgbqT7BJLPWccMIJrFmzplvASBVskr1PIGk7Uao8CKuKra2tTRrEdu7cSUVFBcccc0wwHmvfvn00NjZSWVnZ788krBoXUrd5hUkWAMMC0fz58ykvL6e5uTkI8uXl5cybN4+GhgbKy8vZt29fsK/y8vJgzGGuDfSWACdEFmQSpLJRDZQq2IS9FlbqCQs2dXV1Sdt7/PQ0NzfT2dlJUVERDQ0NVFVVBW1PyYRVxe7cuZPjjjsOrTW7d+9m/PjxKKVobGxkypQpKKUoKytj/PjxxONx9u/fz+TJk6mrq2PNmjXE4/FguzVr1qT1mYRV40LyNsFMPuuwQFRRUcHSpUt55JFHggHk559/ftB2d9xxxxGPx9mzZw/jxo2joKCAqVOnpvw8s0ECnBBZkEmQykY1UFh6IflJODFgFBcXM3fu3CBgzJkzJzTYbNu2LWl7z5YtW6irq0NrHZykd+/ezQsvvJAywCXqOZNTeXk5dXV1QRXltm3bghJn2Mn7qaeeYu3atTQ3H543vqysjK1bt6acHiysGtdP39H+rMPeS0FBAVdffTXV1dVHfCazZ89GKcVzzz0XbOf3QPXTl6zzSjZIgBMiCzIJUtmoBgpLb9hJODFgLFiwgFdeeSVpx4yewSasvaehoYGWlpYjhhv46QyTqht8shJnWDB+5513aGxsDDql+EH87bffDo6ZrJQbVo2bWAXc22edbKaSVFJ1KErWFhvWAzWxF6Wft0899RT19fVpVR1HQQKcEFmQSZBKVQ2UrUl0k7WjpeqYkSzYlJSUJG3v0VrT1dVFZ2dn0E6klAqOHXbi96ep6q0bfFgVpV/i7O3Ev2/fvmAbf5/FxcXs378fSF0CTpZHYZ91OlN1paMv8xGH9UBNnAatt7ztS8n6aJEAJ0SEkgWbTNoqwq6+o+qAkiq9yV6rqakJOmaMGDGCs88+O+iYMWfOnNAT4rRp06ioqGD06NHdSgtTp06loKCAwsLCbrfEUUpRUFBAZ2cnV1xxBY899hjt7e2UlJSwZMkS7rjjDoqKili/fj07d+5k/PjxdHR0UFJSws6dO9mwYQPz5s1LWkUZ9nmOHj2arq4uCgsLgzzo6uoKJgZOVQIOq8ZN9lk/8cQTPPPMM4wbNy5oh3zmmWeCqbrC9Pd7kupCJyxvJcAJkYYoSihR7TPsJJLJmLNkJYmoOqCkSm+y1xI7ZpSWllJWVhZ0zABCx1x9+tOfpqqqKsi/1tZWqqqqqKioYNKkSRQXF9PR0REEt+LiYsrLy3n00Ue599576ezsBODAgQPce++9fOpTn+LCCy8kHo+zb98+9uzZEwSlwsLC4GQN7t0H/KAxcuRIIHVps7i4mPb29uB9lJSUpNW70B+a0NzczAc/+EFeeOEFysrKgqCa7LN+7bXXaGlp4b333gvyoKuri82bNwcBLtn3ur/fk3RqD1paWjhw4EDwejweD97vQM9yIgFODCqpgkZ/fkBRlXrCegH6PdLCxpz1p30lW5PoJnst8YQ4e/Zs6uvrj0pJtby8nGHDhgWBqaCggOLiYiZNmsQdd9xBe3s7RUVF3W6zc9ddd3HhhRdSVlZGa2trEADB7U4/duzYIP+UUsEfuPkHcOutt9LY2EhbWxulpaVs376dqqoqCgsLmTBhAsXFxcFn3dHREZTowgLD5s2baWpqYs+ePXR2dtLY2EhnZ2e3gNubMWPGcOjQIcrKyoLvfnNzc1BqDPte93dWllQXOn7VZc+bzU6YMCH0AiGqICcBTgwqYVeeFRUV/b5BZlgg6q9t27ZRW1vL3r17g/urjR07Npj1IUyq9pVkgTzKDij9uXhIPCHW1tZyww03dNsubMxVop7tRCUlJYwePZqmpibi8Thaa8aNG0dpaWlQeujq6up2kvWXb9q0CYDCwsJur2/atIlTTjklaceW5557jo0bN9LR0RFs19jYyLp16zjttNMA2L59e1BCnDhxIqeeemqQD8l6F7744otorZk+fTpFRUVMnz6dAwcO8NJLL3HiiScmzdtZs2YxadIk9uzZEyybNGlS0KMx7LdSXl5ObW1tt2EWiaXGVJ9psgudYcOGUVFRccR+hw8fnpX2OQlwYlAJK6FA/8YMhXVHzyTAHTp0iDfffLNbENi9ezcHDx5MuW3YTPDnnHNO0kBeUVHBwoULj7hK9ktM/e11l0kp1z8h9paflZWVScdchV3xt7e3s3///qCEpZRi//79tLW1ccYZZ/Dwww8H0275/CC0d+/eYJvEx/3791NSUsKkSZNobGwMLkomTZpEaWkpr776KgcPHgxKZVprDh48yKuvvsq8efOCG4/69u/f361qLlnvwsRqva6uLhobG7tV6yUzffp0FixYQFdXF83NzZSVlVFYWMi0adMA97fS1dWF4zhBaWvMmDHs2LGDCRMmBKVGXzqlxlSmTZvG8ccf32u76fPPP5+0OloCnBh0MpmpI9l2YSWU/lbPpZp+qL+ampqAI6trdu3alXLbsJngZ82albTE6QeynscE9wR25ZVXsnr16qDtqbq6mpUrV6YMcqlKuWGfWXt7O3feeSclJSXceuutXH755ZSUlATva+nSpRQWFvLyyy9zyimncPnll1NQ4E76m6xK0B8mkFjN2NbWFszEUVJSQnt7e/BaSUlJEOBmzJhBV1fXER1Ujj322OBWOm1tbbS3twelw8mTJwc9Iv2eoX7e7t+/n7/85S/BsAV/fy0tLTzyyCOcfPLJoaWXxGq9xEf/LthhHZXOPvtsampqgpJXYvXv+PHjefTRR9m/f3+QpjFjxnD99dfz4osvAm7VqR/I9+zZE5Qawy6Ewj7rioqKpO2mzz//fOh3LAoS4EQk+nvFn2q7dHof9rV6rqSkhIkTJ7J169agFOFftWeioKCAMWPGMG7cuG4nkXSC/Jw5c4jH4+zatStIUzwep7KyMrTECbB27Vrmzp3breRXXV3Nm2++yaOPPtptcPSjjz7KE088wUc+8pHQ9IRVt1ZUVLB8+XLuu+8+9u7dy9ixY7nsssu45ppr6Ozs5Oyzz2bjxo384Ac/4N/+7d9YsWIFa9asoaSkhM7OTq666qog6D7wwAOsXr2alStX8txzz/Hqq692GwrQ1NTEunXr2LRpE52dnd3ysrOzk02bNhGPxykuLmbEiBFBNVlHRwdbt24F3Gq00tJS2tvb0VpTUFBASUkJw4cPJx6P09jYyO7du4Og4A8/mDVrVhDAEsf+zZw5kzfffJOOjo4j8s0fNxbWu3Dq1KlBtV5hYSHjxo0LqvUy6ai0du3aYPiC/x727dvH2rVrg44zI0aMCPLWL82FVY8XFBSkvPtDsjSlWx19NEmAE5FI1UsrrHdXqo4ZyX5A/e16X15eTmNjI7t27UJrTWtrK0C39oh05mHsOVGu/4NubW1FKUVbW1vaP+izzz4brXXQXgRw7LHHcvbZZ7NmzZrQAdDQeym2pqaG1tbWbm1PXV1drF27NmWAC6tu3bx5Mz/96U+7zeLx5ptvUlVVxd/+9jc2btxIWVlZ0B6zceNG7rzzTq666iqeeOKJpEH3tddeo62tjeHDhwfv8+DBg7z22mtHVE/6J/H9+/fT0tISbOOXFIuKioLPVSkVdFDxA2BxcTFKKdavX09LSwslJSVBKbelpYUNGzYwd+5chg8fzqFDh4JjDhs2jLlz5/L666/3mm9+LUBY78LEar1Ro0axePHioFov3fbh3say1dTUBO81MT1r167lO9/5TtJgk+pGqek2A/RMU1h1dFSGRIAb6K6pg00m+RM2/RD0fqIN6wySTseMZI3c/e16X19fT0tLC8OGDQt+7C0tLdTX13PiiSemnIfRL71ceuml3HzzzUHpJZMf9KpVq2hqaupW5dXU1MSqVasYMWJE0gHQYVW4nZ2ddHV1UVJSErzW3t7ereSR7PMMq27duHFjr7N4PPLII9TX1/f6PXjllVcAQoNuUVERhYWFdHV10dXVBbgdQ4qKijjuuOOCoOTTWjN79mxOOOEExowZQ1lZWRDAmpubg3ae8ePHc+jQoaCziJ8v48aN47XXXuu1Z+LOnTuZPn06J510Etu2bePgwYMMHz6cadOmMWLEiG6l6UT+8okTJ6K17jasoaCggAkTJlBRUcGCBQu47777gurMyy67jIqKCtasWZO0tF5RURHaK3Hq1KlHBBmtNVOmTAn9bj722GNorTl06FAwjlBrTW1tbRAskzUDpCpxJpsCLCp5H+Ci6gKeLzLJn7Btw060YaW7TDpmQP9u91JbW8uYMWMYP3588IPevXs3dXV1QHhptLOzMyi9fPSjH2X9+vVB6eXEE0/s9w/6oYceCjo0+EHu4MGDPPzww3zta19LOgA6rBR70kknMWzYsG5tU8OGDeOkk04CUn8XklW3+j3m/FKVH6T27t2LYRjBvhMf586dCxAadKurq/ntb38bBDdwA9yZZ57JjBkzuOWWW2hsbAxemzRpEhdccAGVlZWhNwJtamoKqh4TqyF37doVDD9IbH8dNmwY5eXlwZi+ESNGUFpaGgTlyZMnBwGxp7KyMsCtBh8zZgy7d+8OfhNjx46ltLQ0KCFt3ryZjo4ONm/ezNq1a4PONMlK66l6JX7uc5/j17/+9RHB8bOf/WxosKmsrOy1tFlRUZGyl26qmpv+/D4zkfcBLtduwJdrMsmfVF32w2a3gN6vAjPpmNFf/pX9sGHDGDFiRPCj9d9/WGl03bp1NDU1BT3Y/K7rjzzyCCeeeGK/f9B+6cy/0vfTtG/fvtCG/LBS7BlnnMHJJ5/Mjh07gkA+efJkTj/9dCD88wyrbvVPoD07ScyYMYPLL7+cFStWsHHjRjo7O2lububkk0/m8ssvBwgNuueccw7nnXfeEZ1izjnnHAoKCvjWt77Fvffey759+zjmmGP4+Mc/HkynFXYjUD/AjRs3Lvietba20tTUxAUXXEBFRUW3QeDjxo0LOqgopSgtLe0WHAEuuugifv/73x9RfXnRRRcBBO2Ixx9/fLdSZUdHB6tWreLZZ59l1qxZDBs2jFmzZvHss8+yatWq0OnKwgbJz5kzh5KSEk4++eRubcvTp0/v1sGnt+/mjBkzgmDs73f8+PHMmDEjZTOA3A9ugOVahueaTPIn1bZhs1tA71eBW7Zs6XfHjP4Ku/MxhPfcTNblPPGE1B+nnnoq9913H11dXUFPvsLCQgzDSFkVm+zEVVlZyZVXXpm0yjTs8zzzzDOTVmlt376dqVOnBm2YSqmg6q2kpIQ1a9YEvShvuummbr0ow4JuUVERK1euTBqovvCFL7Bo0aJe8yDsRqB+Kc3/HP1gVF5eHppHidOO9bwf3LnnnsvFF1/Mk08+GbyPD33oQ5x77rkAQaDyS0UdHR1BoHr55Zd7zffa2lqWLFmStLTud5pJZufOnVRWVnLaaacdkd6wbvlNTU0sXLiQePzwrX8KCgrYtWtXyu+e3A9ugOVahueaTPIn1bbJTrRhV4HxeLzfHTP6K+zOx6nSe+aZZ7J8+XIOHjwYdIIYNmwYCxYsyChNF154YVAF5+evXwUH/auKTdUGEvZ5hm07ffp0Fi5cmHQ8VklJSdBTsrq6uluaUgXdsEDV39Lx6aefnrSUFvY+w+4HV1RUxO233570OxQ2r2ZiR5TEx8rKytDSuv9bSdYrMSy9YfztZs+eHRynvr4+5e8a5H5wAy7XMjzXZJI//d027CowGz2tIPWJNFl6E6vR/OorvxotE3PmzOG6667rtQouE5mcnMIuWMLGY6VKz0B3PEgVVPtzYQbh36GwQDV79uygBqG9vZ1t27YFNQiZ/Fb6+/uMaiLwbFB9uVVCtsyfP1+vX7++39v7PcPCMry3q8uhIpP8SWfbKNKTS/xBsX4gSnd2kFSykQ/9PeZg+41F+T77s21/v0Op0pON9xmlnt8hpdQGrfX8ZOsPiQCXjlz68eUiyZ/UJI/CSf6kJnkUrq8BLvshWQghhIiABDghhBB5SQKcEEKIvDQo2uCUUk1AfcSHmQBEN5p48JP8SU3yKJzkT2qSR+F65s8MrfXEZCsPigA3EJRS68MaK4c6yZ/UJI/CSf6kJnkUrq/5I1WUQggh8pIEOCGEEHlJAtxhy7OdgBwn+ZOa5FE4yZ/UJI/C9Sl/pA1OCCFEXpISnBBCiLwkAU4IIURekgAnhBAiL0mAE0IIkZeGZIBTSh2jlLpRKbVZKbXb+9vkLRub7fRlm+RPapJH4SR/wkn+pEe5zlBKXaqU+pj3v0p3+yEZ4AAbaAaqtdbjtdbjgUXesnuymrLcIPmTmuRROMmfcJI/KSilzgXeAL4HnA98FPg+8Ib3Wup9DMVhAkqp17XW7+/ra0OF5E9qkkfhJH/CSf6kppTaBHxEa/1Oj+WzgEe01iek2sdQLcHVK6W+pZQq9xcopcqVUtcB72YxXblC8ic1yaNwkj/hJH9SKwK29rJ8G1Cczg6GaoD7JDAeWKOUalZK7QFWA+MAM5sJyxGSP6lJHoWT/Ann589qpdQeyZ9e3Qa8oJS6Tin1Ge/vOmAdcGs6OxiSVZQ9KaXOAk4H/q61fjzb6ck2pdQZwGat9T6l1AjgeuADwKvAf2it92U1gTlAKfUV4AGttVxt90IpVQJ8Gtimtf5fpdRngQXAa8ByrXVHVhOYA5RSFcDHgGOBTqAWuEt+X4cppU4ELgKmAQq3RPeQ1vq1tLYfigFOKfW81vp07/+rgX8G/gScC/xZa31jFpOXdUqpV4FTtNadSqnlwAHgPmCxt/zSrCYwByil9uHmy5vAH4B7tNZyHy+PUur3uFVMw4F9wEjgAdzvkNJaX5HF5GWdd4F0AfA0bgcKB7eDyceAL2mtV2ctcXlkqAa4l7TWp3r/vwCcr7VuUkqNBJ7TWv9DdlOYXUqpTX4DrlLqRa31BxJec7TWRtYSlyOUUi8B84AP41Y3XQRsAO4C7tdat2QxeVmnlHpFaz1XKVWE22YyVWvd5XXxfllrPTfLScwqpdTfAcPLkxG4nSaqlVLvAx70z09DmVLqGODbwCWAf1PTRuBB4Eat9d5U+xiqbXAFSqkypdR43CDfBKC1PoBbVTDUbVRKXen9/7JSaj6AUqoSGPJVSx6ttY5rrR/XWl8FTAV+DZwHvJXdpOWEAq+acjQwAjjGW15Kmh0EhoAi77EUN5/QWm9B8seXbCjFXtIcSlGUepW8dAzu1bYCtFJqstZ6h1JqlLdsqLsauFkp9S+4t4f/m1LqXdzeXVdnNWW5o9v3xGtTegh4SCk1PDtJyim3ApuBQuAG4B6l1FvAB4G7s5mwHLECtwPFc0AV8BMApdREYE82E5ZDZmqtf5K4QGu9A7gx4QI81JCsokzGqyoo11q/ne205AKl1GhgNl53Xa31ziwnKWcopSq11rXZTkcuU0pNBdBab/dm5/gwsEVr/XxWE5YjlFInAScAG7XWm7OdnlyjlHoc+F/gDv/c4w2rWAqco7X+cMp9SIATQgiRa5RSZbg9uC8GJnmLd+LWlNyotW5OuQ8JcEIIIQYTpdSVWuuVKdeTACeEEGIwUUpt0Vq/L9V6Q7WTiRBCiBymlHol2UtAeZLXupEAJ4QQIheVA0twhwokUsCz6exAApwQQohc9DAwSmvt9HxBKbU6nR1IG5wQQoi8NFRnMhFCCJHnJMAJIYTIS9IGJ0SGTMuYDNwEnAa0Ae8A19ox54iZTkzLeNaOOQtMy5gJLLBjzh+85fOBz9sx5ytpHvMC4N9xL1KLgZvtmHNL5u9GiPwhJTghMmBahsK9DcxqO+YcZ8ecE4Hv0KMbs2kZhQB2zFngLZoJfMZ/3Y456/sQ3IqB5cCFdsw5BTgV92aZGb0P0zLkfCDyipTghMjMIqDDjjm/8RfYMccBMC2jGvgu0AAYwImmZbTaMWcUcCNwgmkZDnAH8BLwTTvmXGBaxijgv4H5gAa+b8ec+xKOORr3t7vbO14b8Lp3zHLgN7hziAJ80Y45z5qW8XVgmbdshR1zbvJKkY8CTwH/CFxiWoaJe0fpUuABO+Z89yjkkRBZIVdsQmTmZNw7UyRzOnCDV7JLdD1QY8ccw445/9XjtX8F9tkx5x/smDMXeDLxRTvm7MGdj6/etIy7TMv4bELp65fAGq9k9wHgVdMy5gFXAmfgzub/BdMy/PuNvR/4nR1zTvX+P95LswHMMy2jKr1sECL3SIATIlrP2zGnr3en+DDwK/+JHXOOmFTWjjlX494d+3ngm8Bt3ksfAv6ft06XHXP2AWfilsYO2DGnFbgfOMtbv96OOc95/5/r/b0EvAjMwQ14QgxKUkUpRGZeBT4e8vqBfuxT4VZNhrJjzt+Bv5uWcSfwNu5tRJLtL5nE9Cngx9JZReQLKcEJkZkngVLTMr7gLzAt4zTTMs5OsV0L3l2ce/E4YCXsryzxRdMyRnntez4DqPf+XwV80Vuv0LSMMcDTuO1rI0zLGAl8DKjp5biPAcu8NkBMy5hmWsakXtYTYlCQACdEBuyYo3EDxjmmZbxpWsarwPeA7Sk2fQXoNC3jZdMyvtbjtR8CZaZlbDQt42XcjiyJFPAt0zJe9zqpfJ/DpbevAotMy/g7btvgSXbMeRG4Hbc6cx1uJ5OXenkvjwN/AP7mbX8vyYOwEDlPpuoSQgiRl6QEJ4QQIi9JgBNCCJGXJMAJIYTISxLghBBC5CUJcEIIIfKSBDghhBB5SQKcEEKIvCQBTgghRF76/wvZH8eanii8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt visualization formats\n",
    "plt.scatter(x.Critic_Score,x.Global_Sales,marker = '.',color='black',s = 100, alpha = 0.5)\n",
    "plt.xticks(rotation =90);\n",
    "plt.title('Relationship curve',family='serif',fontsize = 22,pad=30,color='#556B2F');\n",
    "plt.xlabel('Critic Score',fontsize = 10,color='#556B2F');\n",
    "plt.ylabel('Global Sales in M',fontsize = 10, color='#556B2F');\n",
    "plt.rcParams[\"figure.figsize\"] = [7,3]\n",
    "plt.grid()\n",
    "plt.savefig('imageq1.2.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "562a42b4",
   "metadata": {},
   "source": [
    "#### Based on previous curves; \n",
    "we can say there is no real relationship between the critic and users score on sales over the world,so we can reduse the Financial investments in that field for now and focusing on other factors that affect directly to the sales. And I suggest\n",
    "to work with a new sample of critic and users score with detailed behaviors, which helps to understand the gaps and try to make a good improvement plans for this part of gamers community.\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "375783ba",
   "metadata": {},
   "source": [
    "## Q2. What is the most widely Genre on each platform?\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 760,
   "id": "81c90a80",
   "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>Genre</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Platform</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3DS</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC</th>\n",
       "      <td>Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DS</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GBA</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GC</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PC</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PS</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PS2</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PS3</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PS4</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSP</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSV</th>\n",
       "      <td>Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wii</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WiiU</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>X360</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XB</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XOne</th>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Genre\n",
       "Platform          \n",
       "3DS       Strategy\n",
       "DC          Sports\n",
       "DS        Strategy\n",
       "GBA       Strategy\n",
       "GC        Strategy\n",
       "PC        Strategy\n",
       "PS        Strategy\n",
       "PS2       Strategy\n",
       "PS3       Strategy\n",
       "PS4       Strategy\n",
       "PSP       Strategy\n",
       "PSV         Sports\n",
       "Wii       Strategy\n",
       "WiiU      Strategy\n",
       "X360      Strategy\n",
       "XB        Strategy\n",
       "XOne      Strategy"
      ]
     },
     "execution_count": 760,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "project.groupby(['Platform'])[['Genre']].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e8023d5",
   "metadata": {},
   "source": [
    "Good analysis of the market haighlite you'r next step,as we can see there is Great acquisition from the Strategy Gener on the Platforms. That can be consedered to games developers team.\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17661133",
   "metadata": {},
   "source": [
    "## Q3.What is the Top five bestseller gems?\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 761,
   "id": "8bebb239",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "project.groupby(['Name'])[['Global_Sales']].sum().sort_values('Global_Sales',ascending=False).iloc[0:5].plot.bar(legend=None,color='#F5F5DC');\n",
    "plt.xticks(rotation =11);\n",
    "plt.title('Top five bestseller gems',family='serif',fontsize = 22,pad=30,color='#556B2F');\n",
    "plt.xlabel('Name',fontsize = 10,color='#556B2F');\n",
    "plt.ylabel('Global Sales in M',fontsize = 10, color='#556B2F');\n",
    "plt.rcParams[\"figure.figsize\"] = [7,3]\n",
    "plt.savefig('imageq3.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4aa71cf6",
   "metadata": {},
   "source": [
    "It’s important to know how to reach your target audience!\n",
    "from Nice simple question we can obtain to many fechers in our new games devplopments by simply analyze each\n",
    "game and find good data analysis of target community, preferred type of visualisation and so,on.Also we can \n",
    "find Similarities of all five games for example, all of them available on PS3 platform so, we can publish \n",
    "our new game on that platform since we know fact it have wide users over the world.\n",
    "All that facts can help to increase your sales by align the market needs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c26853b9",
   "metadata": {},
   "source": [
    "## Q4. Who is the top selling publisher?\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 762,
   "id": "a31adc65",
   "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>Global_Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Publisher</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Electronic Arts</th>\n",
       "      <td>889.7900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nintendo</th>\n",
       "      <td>857.7800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Activision</th>\n",
       "      <td>551.3300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Global_Sales\n",
       "Publisher                    \n",
       "Electronic Arts      889.7900\n",
       "Nintendo             857.7800\n",
       "Activision           551.3300"
      ]
     },
     "execution_count": 762,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "project.groupby(['Publisher'])[['Global_Sales']].sum().sort_values('Global_Sales',ascending=False).iloc[0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 763,
   "id": "cb8559f0",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "project.groupby(['Publisher'])[['Global_Sales']].sum().sort_values('Global_Sales',ascending=False).iloc[0:3].plot.bar(legend=None,color='#F5F5DC');\n",
    "plt.xticks(rotation =1);\n",
    "plt.title('Top selling publisher',family='serif',fontsize = 22,pad=30,color='#556B2F');\n",
    "plt.xlabel('Publisher',fontsize = 10,color='#556B2F');\n",
    "plt.ylabel('Global Sales in M',fontsize = 10, color='#556B2F');\n",
    "plt.rcParams[\"figure.figsize\"] = [7,3]\n",
    "plt.savefig('imageq4.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebd45d2f",
   "metadata": {},
   "source": [
    "The Top selling publisher is Electronic Arts, Nintendo, Activation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "257db953",
   "metadata": {},
   "source": [
    "## Which country has largest sales over the world?\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 764,
   "id": "1b61e71d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Global_Sales=np.arange(1,4)\n",
    "plt.pie(Global_Sales,labels=[' North America Sales','Europe Sales','Japan Sales'],colors = ['#808000','#F5F5DC','#CDD193'],explode =[.1,.1,0]);\n",
    "plt.rcParams[\"figure.figsize\"] = [10,6]\n",
    "plt.title('country sales over the world',family='serif',fontsize = 22,pad=70,color='black');\n",
    "plt.savefig('imageq5.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ade75993",
   "metadata": {},
   "source": [
    "As you can see above, japan has the largest sales over the world in 1985 - 2016.\n",
    "Knowing your user demographics will be necessary for selecting the right channels for your promotions. \n",
    "And Exposure new Foreign Investment Opportunities.\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7ddfca1",
   "metadata": {},
   "source": [
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "##### This Work Done By: Elham alzahrani. \n",
    "$\\;\\;\\;\\;\\;\\;$\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b435df60",
   "metadata": {},
   "source": [
    "Thank you\n",
    "$\\;\\;\\;\\;\\;\\;$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11cae182",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}