investigate-a-dataset-template (1) (1).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "# Project: Investigate a Dataset (tmdb Movies!)\n",
    "\n",
    "## Table of Contents\n",
    "<ul>\n",
    "<li><a href=\"#intro\">Introduction</a></li>\n",
    "<li><a href=\"#wrangling\">Data Wrangling</a></li>\n",
    "<li><a href=\"#eda\">Exploratory Data Analysis</a></li>\n",
    "<li><a href=\"#conclusions\">Conclusions</a></li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: matplotlib in c:\\users\\user\\anaconda3\\lib\\site-packages (3.4.3)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib) (8.4.0)\n",
      "Requirement already satisfied: numpy>=1.16 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib) (1.20.3)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib) (1.3.1)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib) (3.0.4)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib) (2.8.2)\n",
      "Requirement already satisfied: six in c:\\users\\user\\anaconda3\\lib\\site-packages (from cycler>=0.10->matplotlib) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"tmdb-movies.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exploring dimensions, head and data types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10866, 21)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>homepage</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>...</th>\n",
       "      <th>overview</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>http://www.jurassicworld.com/</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>...</td>\n",
       "      <td>Twenty-two years after the events of Jurassic ...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>http://www.madmaxmovie.com/</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>...</td>\n",
       "      <td>An apocalyptic story set in the furthest reach...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>262500</td>\n",
       "      <td>tt2908446</td>\n",
       "      <td>13.112507</td>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>http://www.thedivergentseries.movie/#insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>One Choice Can Destroy You</td>\n",
       "      <td>...</td>\n",
       "      <td>Beatrice Prior must confront her inner demons ...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.012000e+08</td>\n",
       "      <td>2.716190e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140607</td>\n",
       "      <td>tt2488496</td>\n",
       "      <td>11.173104</td>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>http://www.starwars.com/films/star-wars-episod...</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>Every generation has a story.</td>\n",
       "      <td>...</td>\n",
       "      <td>Thirty years after defeating the Galactic Empi...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.839999e+08</td>\n",
       "      <td>1.902723e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168259</td>\n",
       "      <td>tt2820852</td>\n",
       "      <td>9.335014</td>\n",
       "      <td>190000000</td>\n",
       "      <td>1506249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>http://www.furious7.com/</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>Vengeance Hits Home</td>\n",
       "      <td>...</td>\n",
       "      <td>Deckard Shaw seeks revenge against Dominic Tor...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.747999e+08</td>\n",
       "      <td>1.385749e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue  \\\n",
       "0  135397  tt0369610   32.985763  150000000  1513528810   \n",
       "1   76341  tt1392190   28.419936  150000000   378436354   \n",
       "2  262500  tt2908446   13.112507  110000000   295238201   \n",
       "3  140607  tt2488496   11.173104  200000000  2068178225   \n",
       "4  168259  tt2820852    9.335014  190000000  1506249360   \n",
       "\n",
       "                 original_title  \\\n",
       "0                Jurassic World   \n",
       "1            Mad Max: Fury Road   \n",
       "2                     Insurgent   \n",
       "3  Star Wars: The Force Awakens   \n",
       "4                     Furious 7   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...   \n",
       "\n",
       "                                            homepage          director  \\\n",
       "0                      http://www.jurassicworld.com/   Colin Trevorrow   \n",
       "1                        http://www.madmaxmovie.com/     George Miller   \n",
       "2     http://www.thedivergentseries.movie/#insurgent  Robert Schwentke   \n",
       "3  http://www.starwars.com/films/star-wars-episod...       J.J. Abrams   \n",
       "4                           http://www.furious7.com/         James Wan   \n",
       "\n",
       "                         tagline  ...  \\\n",
       "0              The park is open.  ...   \n",
       "1             What a Lovely Day.  ...   \n",
       "2     One Choice Can Destroy You  ...   \n",
       "3  Every generation has a story.  ...   \n",
       "4            Vengeance Hits Home  ...   \n",
       "\n",
       "                                            overview runtime  \\\n",
       "0  Twenty-two years after the events of Jurassic ...     124   \n",
       "1  An apocalyptic story set in the furthest reach...     120   \n",
       "2  Beatrice Prior must confront her inner demons ...     119   \n",
       "3  Thirty years after defeating the Galactic Empi...     136   \n",
       "4  Deckard Shaw seeks revenge against Dominic Tor...     137   \n",
       "\n",
       "                                      genres  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   \n",
       "1  Action|Adventure|Science Fiction|Thriller   \n",
       "2         Adventure|Science Fiction|Thriller   \n",
       "3   Action|Adventure|Science Fiction|Fantasy   \n",
       "4                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15       5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15       6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15       2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15       5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15       2947   \n",
       "\n",
       "   vote_average  release_year    budget_adj   revenue_adj  \n",
       "0           6.5          2015  1.379999e+08  1.392446e+09  \n",
       "1           7.1          2015  1.379999e+08  3.481613e+08  \n",
       "2           6.3          2015  1.012000e+08  2.716190e+08  \n",
       "3           7.5          2015  1.839999e+08  1.902723e+09  \n",
       "4           7.3          2015  1.747999e+08  1.385749e+09  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                        int64\n",
       "imdb_id                  object\n",
       "popularity              float64\n",
       "budget                    int64\n",
       "revenue                   int64\n",
       "original_title           object\n",
       "cast                     object\n",
       "homepage                 object\n",
       "director                 object\n",
       "tagline                  object\n",
       "keywords                 object\n",
       "overview                 object\n",
       "runtime                   int64\n",
       "genres                   object\n",
       "production_companies     object\n",
       "release_date             object\n",
       "vote_count                int64\n",
       "vote_average            float64\n",
       "release_year              int64\n",
       "budget_adj              float64\n",
       "revenue_adj             float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check for missing values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                         0\n",
       "imdb_id                   10\n",
       "popularity                 0\n",
       "budget                     0\n",
       "revenue                    0\n",
       "original_title             0\n",
       "cast                      76\n",
       "homepage                7930\n",
       "director                  44\n",
       "tagline                 2824\n",
       "keywords                1493\n",
       "overview                   4\n",
       "runtime                    0\n",
       "genres                    23\n",
       "production_companies    1030\n",
       "release_date               0\n",
       "vote_count                 0\n",
       "vote_average               0\n",
       "release_year               0\n",
       "budget_adj                 0\n",
       "revenue_adj                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### There are too many null values in homepage, tagline, keywords\n",
    "###### these columns will be dropped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop([\"homepage\",\"tagline\",\"keywords\"],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'imdb_id', 'popularity', 'budget', 'revenue', 'original_title',\n",
       "       'cast', 'director', 'overview', 'runtime', 'genres',\n",
       "       'production_companies', 'release_date', 'vote_count', 'vote_average',\n",
       "       'release_year', 'budget_adj', 'revenue_adj'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                         0\n",
       "imdb_id                   10\n",
       "popularity                 0\n",
       "budget                     0\n",
       "revenue                    0\n",
       "original_title             0\n",
       "cast                      76\n",
       "director                  44\n",
       "overview                   4\n",
       "runtime                    0\n",
       "genres                    23\n",
       "production_companies    1030\n",
       "release_date               0\n",
       "vote_count                 0\n",
       "vote_average               0\n",
       "release_year               0\n",
       "budget_adj                 0\n",
       "revenue_adj                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### there is still missing values, these rows will be dropped "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                      0\n",
       "imdb_id                 0\n",
       "popularity              0\n",
       "budget                  0\n",
       "revenue                 0\n",
       "original_title          0\n",
       "cast                    0\n",
       "director                0\n",
       "overview                0\n",
       "runtime                 0\n",
       "genres                  0\n",
       "production_companies    0\n",
       "release_date            0\n",
       "vote_count              0\n",
       "vote_average            0\n",
       "release_year            0\n",
       "budget_adj              0\n",
       "revenue_adj             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Checking for duplicate rows "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop_duplicates(inplace =True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Resetting indexes after all the changes done to rows. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.reset_index(drop=True,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What was done in data cleaning? \n",
    "> some Columns with high number of null values were dropped.\n",
    "\n",
    "> some other rows were dropped .\n",
    "\n",
    "> duplicated value removed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What questions to ask:  \n",
    "#### Which genres are most popular fromyear to year? \n",
    "#### What kinds of properties are associated withmovies that have high revenues?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Find most popular genres. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "genres = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Action' 'Adventure' 'Animation' 'Comedy' 'Crime' 'Documentary' 'Drama'\n",
      " 'Family' 'Fantasy' 'Foreign' 'History' 'Horror' 'Music' 'Mystery'\n",
      " 'Romance' 'Science Fiction' 'TV Movie' 'Thriller' 'War' 'Western']\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(df.genres)):\n",
    "    curr_genres = df.genres[i].split(\"|\")\n",
    "    genres += curr_genres\n",
    "genres = np.unique(genres)\n",
    "print(genres)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "def genres_values(x, y, z): \n",
    "    for i in range(df.shape[0]):\n",
    "        for j in range(len(x)): \n",
    "            if x[j] in df.genres[i]:\n",
    "                y[j] += z[i]\n",
    "    return y "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2233, 1384, 615, 3433, 1299, 317, 4364, 1095, 839, 120, 306, 1526, 339, 773, 1570, 1134, 132, 2746, 258, 160]\n"
     ]
    }
   ],
   "source": [
    "genres_counts = [0] * len(genres)\n",
    "for i in range(len(df.genres)):\n",
    "    for j in range(len(genres)): \n",
    "        if genres[j] in df.genres[i]:\n",
    "            genres_counts[j] += 1\n",
    "print(genres_counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2233, 1384, 615, 3433, 1299, 317, 4364, 1095, 839, 120, 306, 1526, 339, 773, 1570, 1134, 132, 2746, 258, 160]\n"
     ]
    }
   ],
   "source": [
    "genres_counts = [0] * len(genres)\n",
    "genres_counts = genres_values(genres, genres_counts, [1]*10000)\n",
    "print(genres_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(genres_counts, labels = genres, radius = 3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What can we conclude? \n",
    ">Most common genre is Drame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Find relation between genre and revenue "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[173417346979, 166317625752, 52555269088, 142141376544, 57358633586, 1002788382, 138895792087, 89019110787, 88202023988, 177908256, 10688792700, 27494096491, 11648638379, 32500228996, 61021572866, 86186102916, 42000000, 121188580779, 12853399491, 4713837032]\n"
     ]
    }
   ],
   "source": [
    "genres_revenue = [0] * len(genres)\n",
    "for i in range(df.shape[0]):\n",
    "    for j in range(len(genres)): \n",
    "        if genres[j] in df.genres[i]:\n",
    "            genres_revenue[j] += df.revenue[i]\n",
    "print(genres_revenue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[173417346979, 166317625752, 52555269088, 142141376544, 57358633586, 1002788382, 138895792087, 89019110787, 88202023988, 177908256, 10688792700, 27494096491, 11648638379, 32500228996, 61021572866, 86186102916, 42000000, 121188580779, 12853399491, 4713837032]\n"
     ]
    }
   ],
   "source": [
    "genres_revenue = [0] * len(genres)\n",
    "genres_revenue = genres_values(genres, genres_revenue, df.revenue)\n",
    "print(genres_revenue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (40, 5))\n",
    "plt.bar(genres, genres_revenue, color ='green',\n",
    "        width = 0.4)\n",
    " \n",
    "plt.xlabel(\"genres\")\n",
    "plt.ylabel(\"revenue\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What can we conclude? \n",
    ">Highest revenue comes from action movies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What kinds of properties are associated withmovies that have high revenues?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Are these movies also good from critics point of view? \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    9.770000e+03\n",
       "mean     4.424026e+07\n",
       "std      1.225998e+08\n",
       "min      0.000000e+00\n",
       "25%      0.000000e+00\n",
       "50%      0.000000e+00\n",
       "75%      3.105779e+07\n",
       "max      2.781506e+09\n",
       "Name: revenue, dtype: float64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.revenue.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### an assumption will be made here is: If a movie has 0 revenue it will be dropped, 0 is treated as NaN "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4750, 18)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue_cleaned_df = df[df['revenue'] != 0]\n",
    "revenue_cleaned_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.750000e+03\n",
       "mean     9.099524e+07\n",
       "std      1.632905e+08\n",
       "min      2.000000e+00\n",
       "25%      8.501551e+06\n",
       "50%      3.331677e+07\n",
       "75%      1.015876e+08\n",
       "max      2.781506e+09\n",
       "Name: revenue, dtype: float64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue_cleaned_df.revenue.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "high_revenue_movies = revenue_cleaned_df[revenue_cleaned_df['revenue'] > revenue_cleaned_df.revenue.describe()[6]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "high_revenue_movies_average = high_revenue_movies[high_revenue_movies['revenue'] > high_revenue_movies.revenue.describe()[4]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2880x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (40, 5))\n",
    "plt.scatter(high_revenue_movies_average.revenue, high_revenue_movies_average.vote_average, c = \"pink\")\n",
    "plt.xlabel(\"revenue\")\n",
    "plt.ylabel(\"vote-average\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  Is there a relation between revenue and budget? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='budget', ylabel='revenue'>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "high_revenue_movies.plot.scatter(x = 'budget', y= 'revenue', c = 'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'id'}>,\n",
       "        <AxesSubplot:title={'center':'popularity'}>,\n",
       "        <AxesSubplot:title={'center':'budget'}>],\n",
       "       [<AxesSubplot:title={'center':'revenue'}>,\n",
       "        <AxesSubplot:title={'center':'runtime'}>,\n",
       "        <AxesSubplot:title={'center':'vote_count'}>],\n",
       "       [<AxesSubplot:title={'center':'vote_average'}>,\n",
       "        <AxesSubplot:title={'center':'release_year'}>,\n",
       "        <AxesSubplot:title={'center':'budget_adj'}>],\n",
       "       [<AxesSubplot:title={'center':'revenue_adj'}>, <AxesSubplot:>,\n",
       "        <AxesSubplot:>]], dtype=object)"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(figsize = (15,15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## Conclusions\n",
    "\n",
    "> Conclusion1: The most popular genres of movies are: \n",
    "                   1- Drama\n",
    "                   2- Comedy\n",
    "                   3- Thriller\n",
    "\n",
    "> Conclusion2: The highest profit movies are: \n",
    "                   1- Action\n",
    "                   2- Adventure \n",
    "\n",
    ">Conclusion3: there is no clear relation between revenue and average_vote \n",
    ">Conclusion4: There is relatively positive correlation between budget and revenue\n",
    "\n",
    "## Limitations\n",
    "> I didn't find a relation between Revenue and average_score\n",
    "\n",
    "> I didn't consider the value of the money which changes over the years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": 2
}