investigate-TMDB.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project: TMDB Movies Dataset \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": [
    "<a id='intro'></a>\n",
    "## Introduction\n",
    "\n",
    "### Overview\n",
    ">TMDB Movies Dataset contains data about movies from 1960 to 2015, each row expresses a movie and contains data about cast, budget, revenue, genres, rating, etc. It is collected from TMDB Website (www.themoviedb.org).It has 10,000 record, which is good amount of data.<br><br>\n",
    "In This Notebook, This dataset will explain step by step the problems of the dataset, then we will try to solve those problems with the best solution. After that, the dataset will be ready for statistical and visual analysis to answer our questions.\n",
    "\n",
    "### Questions:\n",
    ">1. What is the movie that has higest profit in terms of 2010 dollars and without it?\n",
    "2. What is the average runtime of movies?\n",
    "3. Is there a correlation between budget and profit?\n",
    "4. Are movies with high budget has high voting?\n",
    "5. Are movies with high profit has high voting?\n",
    "6. Do movies production increase through time?\n",
    "7. What is the correlation between runtime and budget?\n",
    "8. What is the behavior of runtime through years? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing needed libraries\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### General Properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "    }\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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load and view dataset \n",
    "\n",
    "df = pd.read_csv('tmdb-movies.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                                                  76341\n",
       "imdb_id                                                         tt1392190\n",
       "popularity                                                        28.4199\n",
       "budget                                                          150000000\n",
       "revenue                                                         378436354\n",
       "original_title                                         Mad Max: Fury Road\n",
       "cast                    Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...\n",
       "homepage                                      http://www.madmaxmovie.com/\n",
       "director                                                    George Miller\n",
       "tagline                                                What a Lovely Day.\n",
       "keywords                 future|chase|post-apocalyptic|dystopia|australia\n",
       "overview                An apocalyptic story set in the furthest reach...\n",
       "runtime                                                               120\n",
       "genres                          Action|Adventure|Science Fiction|Thriller\n",
       "production_companies    Village Roadshow Pictures|Kennedy Miller Produ...\n",
       "release_date                                                      5/13/15\n",
       "vote_count                                                           6185\n",
       "vote_average                                                          7.1\n",
       "release_year                                                         2015\n",
       "budget_adj                                                       1.38e+08\n",
       "revenue_adj                                                   3.48161e+08\n",
       "Name: 1, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[1,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10866 entries, 0 to 10865\n",
      "Data columns (total 21 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   id                    10866 non-null  int64  \n",
      " 1   imdb_id               10856 non-null  object \n",
      " 2   popularity            10866 non-null  float64\n",
      " 3   budget                10866 non-null  int64  \n",
      " 4   revenue               10866 non-null  int64  \n",
      " 5   original_title        10866 non-null  object \n",
      " 6   cast                  10790 non-null  object \n",
      " 7   homepage              2936 non-null   object \n",
      " 8   director              10822 non-null  object \n",
      " 9   tagline               8042 non-null   object \n",
      " 10  keywords              9373 non-null   object \n",
      " 11  overview              10862 non-null  object \n",
      " 12  runtime               10866 non-null  int64  \n",
      " 13  genres                10843 non-null  object \n",
      " 14  production_companies  9836 non-null   object \n",
      " 15  release_date          10866 non-null  object \n",
      " 16  vote_count            10866 non-null  int64  \n",
      " 17  vote_average          10866 non-null  float64\n",
      " 18  release_year          10866 non-null  int64  \n",
      " 19  budget_adj            10866 non-null  float64\n",
      " 20  revenue_adj           10866 non-null  float64\n",
      "dtypes: float64(4), int64(6), object(11)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">There are unneeded columns like **tagline, homepage, cast, keywords, release_date, overview, imdb_id, director, and production_companies**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</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>count</th>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>1.086600e+04</td>\n",
       "      <td>1.086600e+04</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>1.086600e+04</td>\n",
       "      <td>1.086600e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>66064.177434</td>\n",
       "      <td>0.646441</td>\n",
       "      <td>1.462570e+07</td>\n",
       "      <td>3.982332e+07</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>217.389748</td>\n",
       "      <td>5.974922</td>\n",
       "      <td>2001.322658</td>\n",
       "      <td>1.755104e+07</td>\n",
       "      <td>5.136436e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>92130.136561</td>\n",
       "      <td>1.000185</td>\n",
       "      <td>3.091321e+07</td>\n",
       "      <td>1.170035e+08</td>\n",
       "      <td>31.381405</td>\n",
       "      <td>575.619058</td>\n",
       "      <td>0.935142</td>\n",
       "      <td>12.812941</td>\n",
       "      <td>3.430616e+07</td>\n",
       "      <td>1.446325e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10596.250000</td>\n",
       "      <td>0.207583</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>1995.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>20669.000000</td>\n",
       "      <td>0.383856</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>75610.000000</td>\n",
       "      <td>0.713817</td>\n",
       "      <td>1.500000e+07</td>\n",
       "      <td>2.400000e+07</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>145.750000</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>2.085325e+07</td>\n",
       "      <td>3.369710e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>417859.000000</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>4.250000e+08</td>\n",
       "      <td>2.781506e+09</td>\n",
       "      <td>900.000000</td>\n",
       "      <td>9767.000000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>4.250000e+08</td>\n",
       "      <td>2.827124e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  id    popularity        budget       revenue       runtime  \\\n",
       "count   10866.000000  10866.000000  1.086600e+04  1.086600e+04  10866.000000   \n",
       "mean    66064.177434      0.646441  1.462570e+07  3.982332e+07    102.070863   \n",
       "std     92130.136561      1.000185  3.091321e+07  1.170035e+08     31.381405   \n",
       "min         5.000000      0.000065  0.000000e+00  0.000000e+00      0.000000   \n",
       "25%     10596.250000      0.207583  0.000000e+00  0.000000e+00     90.000000   \n",
       "50%     20669.000000      0.383856  0.000000e+00  0.000000e+00     99.000000   \n",
       "75%     75610.000000      0.713817  1.500000e+07  2.400000e+07    111.000000   \n",
       "max    417859.000000     32.985763  4.250000e+08  2.781506e+09    900.000000   \n",
       "\n",
       "         vote_count  vote_average  release_year    budget_adj   revenue_adj  \n",
       "count  10866.000000  10866.000000  10866.000000  1.086600e+04  1.086600e+04  \n",
       "mean     217.389748      5.974922   2001.322658  1.755104e+07  5.136436e+07  \n",
       "std      575.619058      0.935142     12.812941  3.430616e+07  1.446325e+08  \n",
       "min       10.000000      1.500000   1960.000000  0.000000e+00  0.000000e+00  \n",
       "25%       17.000000      5.400000   1995.000000  0.000000e+00  0.000000e+00  \n",
       "50%       38.000000      6.000000   2006.000000  0.000000e+00  0.000000e+00  \n",
       "75%      145.750000      6.600000   2011.000000  2.085325e+07  3.369710e+07  \n",
       "max     9767.000000      9.200000   2015.000000  4.250000e+08  2.827124e+09  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">The min value of **budget, revenue, runtime, budget_adj and revenue_adj** columns is 0, it doesn't make sense. After investegation, it is missing data, **the 0 values the must be replaced by Nan**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 5696 rows with 0 values at budget\n",
      "There are 6016 rows with 0 values at revenue\n"
     ]
    }
   ],
   "source": [
    "zero_budg = df.budget == 0\n",
    "zero_rev = df.revenue == 0\n",
    "print(f'There are {df[zero_budg].shape[0]} rows with 0 values at budget')\n",
    "print(f'There are {df[zero_rev].shape[0]} rows with 0 values at revenue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>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>2090</th>\n",
       "      <td>42194</td>\n",
       "      <td>tt0411951</td>\n",
       "      <td>0.59643</td>\n",
       "      <td>30000000</td>\n",
       "      <td>967000</td>\n",
       "      <td>TEKKEN</td>\n",
       "      <td>Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dwight H. Little</td>\n",
       "      <td>Survival is no game</td>\n",
       "      <td>...</td>\n",
       "      <td>In the year of 2039, after World Wars destroy ...</td>\n",
       "      <td>92</td>\n",
       "      <td>Crime|Drama|Action|Thriller|Science Fiction</td>\n",
       "      <td>Namco|Light Song Films</td>\n",
       "      <td>3/20/10</td>\n",
       "      <td>110</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>30000000.0</td>\n",
       "      <td>967000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id    imdb_id  popularity    budget  revenue original_title  \\\n",
       "2090  42194  tt0411951     0.59643  30000000   967000         TEKKEN   \n",
       "\n",
       "                                                   cast homepage  \\\n",
       "2090  Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...      NaN   \n",
       "\n",
       "              director              tagline  ...  \\\n",
       "2090  Dwight H. Little  Survival is no game  ...   \n",
       "\n",
       "                                               overview runtime  \\\n",
       "2090  In the year of 2039, after World Wars destroy ...      92   \n",
       "\n",
       "                                           genres    production_companies  \\\n",
       "2090  Crime|Drama|Action|Thriller|Science Fiction  Namco|Light Song Films   \n",
       "\n",
       "     release_date vote_count  vote_average  release_year  budget_adj  \\\n",
       "2090      3/20/10        110           5.0          2010  30000000.0   \n",
       "\n",
       "      revenue_adj  \n",
       "2090     967000.0  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.duplicated()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">There is **one duplacted row**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning\n",
    "- Drop unneeded columns **(tagline, homepage, cast, keywords, release_date, overview, imdb_id)**\n",
    "- Replace 0 values with Nan in **budget, revenue, runtime, budget_adj and revenue_adj  columns**\n",
    "- Drop rows which have Nan values in **budget, revenue, runtime, budget_adj and revenue_adj columns**\n",
    "- Delete the duplacted rows\n",
    "- Create 2 new columns called profit, profit_adj"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drop unneeded columns (tagline, homepage, cast, keywords, release_date, overview, imdb_id, director, production_companies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['tagline', 'homepage', 'cast', 'keywords', \n",
    "                 'release_date', 'overview', 'imdb_id', \n",
    "                 'production_companies','director'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10866 entries, 0 to 10865\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   id              10866 non-null  int64  \n",
      " 1   popularity      10866 non-null  float64\n",
      " 2   budget          10866 non-null  int64  \n",
      " 3   revenue         10866 non-null  int64  \n",
      " 4   original_title  10866 non-null  object \n",
      " 5   runtime         10866 non-null  int64  \n",
      " 6   genres          10843 non-null  object \n",
      " 7   vote_count      10866 non-null  int64  \n",
      " 8   vote_average    10866 non-null  float64\n",
      " 9   release_year    10866 non-null  int64  \n",
      " 10  budget_adj      10866 non-null  float64\n",
      " 11  revenue_adj     10866 non-null  float64\n",
      "dtypes: float64(4), int64(6), object(2)\n",
      "memory usage: 1018.8+ KB\n"
     ]
    }
   ],
   "source": [
    "# Checking\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Replace 0 values with Nan in revenue, budget, budget_adj,  revenue_adj, runtime columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace 0 values with Nan in revenue, budget\n",
    "df.revenue.replace(0, np.nan, inplace=True)\n",
    "df.budget.replace(0, np.nan, inplace=True)\n",
    "\n",
    "# Replace 0 values with Nan in budget_adj, revenue_adj\n",
    "df.budget_adj.replace(0, np.nan, inplace=True)\n",
    "df.revenue_adj.replace(0, np.nan, inplace=True)\n",
    "\n",
    "# Replace 0 values with Nan in runtime\n",
    "df.runtime.replace(0, np.nan, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10866 entries, 0 to 10865\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   id              10866 non-null  int64  \n",
      " 1   popularity      10866 non-null  float64\n",
      " 2   budget          5170 non-null   float64\n",
      " 3   revenue         4850 non-null   float64\n",
      " 4   original_title  10866 non-null  object \n",
      " 5   runtime         10835 non-null  float64\n",
      " 6   genres          10843 non-null  object \n",
      " 7   vote_count      10866 non-null  int64  \n",
      " 8   vote_average    10866 non-null  float64\n",
      " 9   release_year    10866 non-null  int64  \n",
      " 10  budget_adj      5170 non-null   float64\n",
      " 11  revenue_adj     4850 non-null   float64\n",
      "dtypes: float64(7), int64(3), object(2)\n",
      "memory usage: 1018.8+ KB\n"
     ]
    }
   ],
   "source": [
    "# Checking\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drop rows which have Nan values in revenue, budget, budget_adj, revenue_adj, runtime columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset = ['revenue', 'budget', 'budget_adj', 'revenue_adj', 'runtime'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 3855 entries, 0 to 10848\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   id              3855 non-null   int64  \n",
      " 1   popularity      3855 non-null   float64\n",
      " 2   budget          3855 non-null   float64\n",
      " 3   revenue         3855 non-null   float64\n",
      " 4   original_title  3855 non-null   object \n",
      " 5   runtime         3855 non-null   float64\n",
      " 6   genres          3855 non-null   object \n",
      " 7   vote_count      3855 non-null   int64  \n",
      " 8   vote_average    3855 non-null   float64\n",
      " 9   release_year    3855 non-null   int64  \n",
      " 10  budget_adj      3855 non-null   float64\n",
      " 11  revenue_adj     3855 non-null   float64\n",
      "dtypes: float64(7), int64(3), object(2)\n",
      "memory usage: 391.5+ KB\n"
     ]
    }
   ],
   "source": [
    "# Checking\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</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>count</th>\n",
       "      <td>3855.000000</td>\n",
       "      <td>3855.000000</td>\n",
       "      <td>3.855000e+03</td>\n",
       "      <td>3.855000e+03</td>\n",
       "      <td>3855.000000</td>\n",
       "      <td>3855.000000</td>\n",
       "      <td>3855.00000</td>\n",
       "      <td>3855.000000</td>\n",
       "      <td>3.855000e+03</td>\n",
       "      <td>3.855000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>39888.783398</td>\n",
       "      <td>1.191400</td>\n",
       "      <td>3.720183e+07</td>\n",
       "      <td>1.076589e+08</td>\n",
       "      <td>109.215824</td>\n",
       "      <td>527.611933</td>\n",
       "      <td>6.16786</td>\n",
       "      <td>2001.263294</td>\n",
       "      <td>4.423630e+07</td>\n",
       "      <td>1.370294e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>67213.815955</td>\n",
       "      <td>1.475002</td>\n",
       "      <td>4.220291e+07</td>\n",
       "      <td>1.765248e+08</td>\n",
       "      <td>19.922166</td>\n",
       "      <td>879.868374</td>\n",
       "      <td>0.79504</td>\n",
       "      <td>11.281989</td>\n",
       "      <td>4.480403e+07</td>\n",
       "      <td>2.160944e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.001117</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2.20000</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>9.693980e-01</td>\n",
       "      <td>2.370705e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6074.000000</td>\n",
       "      <td>0.462448</td>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>1.357645e+07</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>5.70000</td>\n",
       "      <td>1995.000000</td>\n",
       "      <td>1.309053e+07</td>\n",
       "      <td>1.834123e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11322.000000</td>\n",
       "      <td>0.797298</td>\n",
       "      <td>2.400000e+07</td>\n",
       "      <td>4.479322e+07</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>204.000000</td>\n",
       "      <td>6.20000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>3.001558e+07</td>\n",
       "      <td>6.171861e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>38577.000000</td>\n",
       "      <td>1.368245</td>\n",
       "      <td>5.000000e+07</td>\n",
       "      <td>1.241530e+08</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>580.000000</td>\n",
       "      <td>6.70000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>6.061307e+07</td>\n",
       "      <td>1.632401e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>417859.000000</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>4.250000e+08</td>\n",
       "      <td>2.781506e+09</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>9767.000000</td>\n",
       "      <td>8.40000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>4.250000e+08</td>\n",
       "      <td>2.827124e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  id   popularity        budget       revenue      runtime  \\\n",
       "count    3855.000000  3855.000000  3.855000e+03  3.855000e+03  3855.000000   \n",
       "mean    39888.783398     1.191400  3.720183e+07  1.076589e+08   109.215824   \n",
       "std     67213.815955     1.475002  4.220291e+07  1.765248e+08    19.922166   \n",
       "min         5.000000     0.001117  1.000000e+00  2.000000e+00    15.000000   \n",
       "25%      6074.000000     0.462448  1.000000e+07  1.357645e+07    95.000000   \n",
       "50%     11322.000000     0.797298  2.400000e+07  4.479322e+07   106.000000   \n",
       "75%     38577.000000     1.368245  5.000000e+07  1.241530e+08   119.000000   \n",
       "max    417859.000000    32.985763  4.250000e+08  2.781506e+09   338.000000   \n",
       "\n",
       "        vote_count  vote_average  release_year    budget_adj   revenue_adj  \n",
       "count  3855.000000    3855.00000   3855.000000  3.855000e+03  3.855000e+03  \n",
       "mean    527.611933       6.16786   2001.263294  4.423630e+07  1.370294e+08  \n",
       "std     879.868374       0.79504     11.281989  4.480403e+07  2.160944e+08  \n",
       "min      10.000000       2.20000   1960.000000  9.693980e-01  2.370705e+00  \n",
       "25%      71.000000       5.70000   1995.000000  1.309053e+07  1.834123e+07  \n",
       "50%     204.000000       6.20000   2004.000000  3.001558e+07  6.171861e+07  \n",
       "75%     580.000000       6.70000   2010.000000  6.061307e+07  1.632401e+08  \n",
       "max    9767.000000       8.40000   2015.000000  4.250000e+08  2.827124e+09  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Delete the duplacted rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create 2 new columns called profit, profit_adj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['profit_adj'] = df['revenue_adj'] - df['budget_adj']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['profit'] = df['revenue'] - df['budget']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</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",
       "      <th>profit_adj</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>150000000.0</td>\n",
       "      <td>1.513529e+09</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>124.0</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</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",
       "      <td>1.254446e+09</td>\n",
       "      <td>1.363529e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000.0</td>\n",
       "      <td>3.784364e+08</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>120.0</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</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",
       "      <td>2.101614e+08</td>\n",
       "      <td>2.284364e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>262500</td>\n",
       "      <td>13.112507</td>\n",
       "      <td>110000000.0</td>\n",
       "      <td>2.952382e+08</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>119.0</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</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",
       "      <td>1.704191e+08</td>\n",
       "      <td>1.852382e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140607</td>\n",
       "      <td>11.173104</td>\n",
       "      <td>200000000.0</td>\n",
       "      <td>2.068178e+09</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>136.0</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</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",
       "      <td>1.718723e+09</td>\n",
       "      <td>1.868178e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168259</td>\n",
       "      <td>9.335014</td>\n",
       "      <td>190000000.0</td>\n",
       "      <td>1.506249e+09</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>137.0</td>\n",
       "      <td>Action|Crime|Thriller</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",
       "      <td>1.210949e+09</td>\n",
       "      <td>1.316249e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id  popularity       budget       revenue  \\\n",
       "0  135397   32.985763  150000000.0  1.513529e+09   \n",
       "1   76341   28.419936  150000000.0  3.784364e+08   \n",
       "2  262500   13.112507  110000000.0  2.952382e+08   \n",
       "3  140607   11.173104  200000000.0  2.068178e+09   \n",
       "4  168259    9.335014  190000000.0  1.506249e+09   \n",
       "\n",
       "                 original_title  runtime  \\\n",
       "0                Jurassic World    124.0   \n",
       "1            Mad Max: Fury Road    120.0   \n",
       "2                     Insurgent    119.0   \n",
       "3  Star Wars: The Force Awakens    136.0   \n",
       "4                     Furious 7    137.0   \n",
       "\n",
       "                                      genres  vote_count  vote_average  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller        5562           6.5   \n",
       "1  Action|Adventure|Science Fiction|Thriller        6185           7.1   \n",
       "2         Adventure|Science Fiction|Thriller        2480           6.3   \n",
       "3   Action|Adventure|Science Fiction|Fantasy        5292           7.5   \n",
       "4                      Action|Crime|Thriller        2947           7.3   \n",
       "\n",
       "   release_year    budget_adj   revenue_adj    profit_adj        profit  \n",
       "0          2015  1.379999e+08  1.392446e+09  1.254446e+09  1.363529e+09  \n",
       "1          2015  1.379999e+08  3.481613e+08  2.101614e+08  2.284364e+08  \n",
       "2          2015  1.012000e+08  2.716190e+08  1.704191e+08  1.852382e+08  \n",
       "3          2015  1.839999e+08  1.902723e+09  1.718723e+09  1.868178e+09  \n",
       "4          2015  1.747999e+08  1.385749e+09  1.210949e+09  1.316249e+09  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 3854 entries, 0 to 10848\n",
      "Data columns (total 14 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   id              3854 non-null   int64  \n",
      " 1   popularity      3854 non-null   float64\n",
      " 2   budget          3854 non-null   float64\n",
      " 3   revenue         3854 non-null   float64\n",
      " 4   original_title  3854 non-null   object \n",
      " 5   runtime         3854 non-null   float64\n",
      " 6   genres          3854 non-null   object \n",
      " 7   vote_count      3854 non-null   int64  \n",
      " 8   vote_average    3854 non-null   float64\n",
      " 9   release_year    3854 non-null   int64  \n",
      " 10  budget_adj      3854 non-null   float64\n",
      " 11  revenue_adj     3854 non-null   float64\n",
      " 12  profit_adj      3854 non-null   float64\n",
      " 13  profit          3854 non-null   float64\n",
      "dtypes: float64(9), int64(3), object(2)\n",
      "memory usage: 451.6+ KB\n"
     ]
    }
   ],
   "source": [
    "# Checking\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## Exploratory Data Analysis\n",
    "\n",
    "### Question 1: What is the movie that has higest profit in terms of 2010 dollars and without it?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_top(df, xcol, ycol):\n",
    "    \"\"\"\n",
    "    Get top 10 of a column respect to another column in the specified dataframe.\n",
    "\n",
    "            Parameters:\n",
    "                    df (pandas.DataFrame): Dataframe you want to get top 10 of it\n",
    "                    xcol (String)        : A string contains the name of the column (label data) as movie name.\n",
    "                    ycol (String)        : A string contains the name of the column (numerical data).\n",
    "\n",
    "            Returns:\n",
    "                    A Dataframe contains top 10 rows and the two columns, placed in descending order.\n",
    "    \n",
    "    \"\"\"\n",
    "    top = df.sort_values(by=ycol, ascending=False)[:10]\n",
    "    top.reset_index(drop=True, inplace=True)\n",
    "    print(top[[xcol, ycol]])\n",
    "    \n",
    "    return top[[xcol, ycol]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   original_title    profit_adj\n",
      "0                       Star Wars  2.750137e+09\n",
      "1                          Avatar  2.586237e+09\n",
      "2                         Titanic  2.234714e+09\n",
      "3                    The Exorcist  2.128036e+09\n",
      "4                            Jaws  1.878643e+09\n",
      "5      E.T. the Extra-Terrestrial  1.767968e+09\n",
      "6    Star Wars: The Force Awakens  1.718723e+09\n",
      "7                         The Net  1.551568e+09\n",
      "8  One Hundred and One Dalmatians  1.545635e+09\n",
      "9         The Empire Strikes Back  1.376998e+09\n"
     ]
    }
   ],
   "source": [
    "top_profit_adj = get_top(df, xcol='original_title', ycol='profit_adj')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "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": [
    "top_profit_adj.plot(kind='bar', x='original_title', y='profit_adj',\n",
    "                    xlabel='Movie', ylabel='Profit',\n",
    "                    figsize=(10,6),title='Top 10 movies profit in terms of 2010 dollars');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusions\n",
    "> The movie that has the highest profit in terms of 2010 dollars is **Star Wars(1977)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                 original_title        profit\n",
      "0                                        Avatar  2.544506e+09\n",
      "1                  Star Wars: The Force Awakens  1.868178e+09\n",
      "2                                       Titanic  1.645034e+09\n",
      "3                                Jurassic World  1.363529e+09\n",
      "4                                     Furious 7  1.316249e+09\n",
      "5                                  The Avengers  1.299558e+09\n",
      "6  Harry Potter and the Deathly Hallows: Part 2  1.202818e+09\n",
      "7                       Avengers: Age of Ultron  1.125036e+09\n",
      "8                                        Frozen  1.124219e+09\n",
      "9                                       The Net  1.084280e+09\n"
     ]
    }
   ],
   "source": [
    "top_profit = get_top(df, xcol='original_title', ycol='profit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "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": [
    "top_profit.plot(kind='bar', x='original_title', y='profit',\n",
    "                xlabel='Movie', ylabel='Profit',\n",
    "                figsize=(10,6),title='Top 10 movie profits');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    "> The movie that has the highest profit is **Avatar(2009)**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 2: What is average runtime of movies?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average of movie runtime is 109 minutes.\n"
     ]
    }
   ],
   "source": [
    "print(f\"The average of movie runtime is {int(df.runtime.mean())} minutes.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10,7))\n",
    "g = sns.histplot(x=df.runtime, ax=ax)\n",
    "g.set(xlim=(None, 250), title='Runtime Histogram', xlabel='Runtime');\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    ">The average of movie runtime is **109 minutes**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 3:  is there a correlation between budget and profit?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "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": [
    "_, ax = plt.subplots(figsize=(10,6))\n",
    "ax.set_title('Budget VS Profit')\n",
    "g = sns.regplot(x=df['budget'], y=df['profit'],ax=ax);\n",
    "g.set(title='Budget VS Profit', xlabel='Budget', ylabel='Profit');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    ">**Yes**, There is a **postive correlation** between **budget and profit**.<br>\n",
    "When the budget of the movie is high, there is a high probabilty to has high profit."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 4:  Are movies with high budget has high voting?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10,7))\n",
    "\n",
    "g = sns.regplot(x=df['budget_adj'], y=df['vote_average'], ax=ax)\n",
    "g.set(title='Budget VS Voting', xlabel='Budget', ylabel='Voting');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    "> As shown in figure, high budget doesn't mean high voting, also low budget doesn't mean low voting.\n",
    "There are many movies with low budget and have high voting.\n",
    "There is **very weak postive correlation*(or you can say that there is no correlation)*** between the budget and average voting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 5:  Are movies with high profit has high voting?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10,7))\n",
    "g=sns.regplot(x=df['profit_adj'], y=df['vote_average'], ax=ax)\n",
    "\n",
    "#set Title, x_label and y_label\n",
    "g.set(title='Profit VS Voting', xlabel='Profit', ylabel='Voting');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    "> **Yes**, there is a **postive correlation** between profit and voting.\n",
    "\n",
    "> The movie with high profit, it most likely will have a high voting."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 6:  Do movies production increase through time?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "no_movies_year = df.release_year.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Total No. of movies each year'}, xlabel='Year', ylabel='No. of movies'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "no_movies_year.plot(figsize=(10,5), xlabel='Year', ylabel='No. of movies',\n",
    "                    title='Total No. of movies each year')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    ">**Yes**, the movies production **increases** through years."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 7: What is the correlation between runtime and budget?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10,7))\n",
    "g = sns.regplot(x=df['runtime'], y=df['budget_adj'], ax=ax)\n",
    "\n",
    "#set graph options\n",
    "g.set(xlim=(0,250), ylim=(0,3*10**8), title='Runtime VS Budget', xlabel='Runtime', ylabel='Budget');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion\n",
    "> There is **postive correlation** between movie runtime and budget"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 8: What is the behavior of runtime through years?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "runtime_year = df.groupby('release_year').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'the behavior of runtime through years'}, xlabel='Year', ylabel='Runtime Mean'>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "runtime_year.plot(y='runtime', figsize=(10,6), xlabel='Year', ylabel='Runtime Mean',\n",
    "                  title='the behavior of runtime through years')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusions\n",
    "> The runtime of the movies **deacrease** through years"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## Conclusions\n",
    "\n",
    "- The movie that has the highest profit is **Avatar(2009)**.\n",
    "- The average of movie runtime is **109 minutes**.\n",
    "- The movie that has the highest profit in terms of 2010 dollars is **Star Wars(1977)**.\n",
    "- There is a **postive correlation** between **budget and profit**. Therefore, When the **budget** of the movie is **high**, there is a **high probabilty** to has **high profit**.\n",
    "- **High budget** does **NOT** mean **high voting rate**, also **low budget** does **NOT** mean **low voting**.\n",
    "- The movie with high profit, it most likely will have a high voting.\n",
    "- The movies production **increases** through years.\n",
    "- More runtime most probable means high budget.\n",
    "- The movies runtime **decreases** through years.\n",
    "\n",
    "\n",
    "## Limitations\n",
    "\n",
    "- There is unneeded columns.\n",
    "- The missing values in revenue and budget columns represented by 0 value.\n",
    "- There are 6016 rows with Nan at budget or revenue columns.\n",
    "- There is one duplicated row.\n",
    "- There are short movies in the dataset."
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "data_env",
   "language": "python",
   "name": "data_env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.12"
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 },
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