investigate-movie-dataset.ipynb

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    "## Investigate a Movie Dataset\n",
    "### Dataset Description \n",
    "The TMDb movie original dataset contains the information of about 10,000 films from TMDb including key details like user ratings, revenue and different movie details. The dataset is designed to provied information about various aspects of the movie industy, including budget, cast and genres. The dataset consists of several columns:\n",
    "- **id**: An identifier for the film\n",
    "- **title**: The title of the film\n",
    "- **genres**: genres for each film seperated by a pipe\n",
    "- **cast**: A list of actors/actresses in the film seperated by a pipe\n",
    "- **release_date**: The date the movie was released\n",
    "- **budget**: The budget of the film\n",
    "- **revenue**: The total revenue generated by each film\n",
    "- **runtime**: The lenghth of the film\n",
    "- **vote_average**: The average rating for the film\n",
    "- **vote_count**: The total number of ratings for the film\n",
    "\n",
    "### Question(s) for Analysis\n",
    "- Which genres have the best and worst popularity on average?\n",
    "- What is the distribution of movie budgets in this dataset?"
   ]
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   "source": [
    "#import necessary packages\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt"
   ]
  },
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   "source": [
    "## Data Wrangling"
   ]
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       "      <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",
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       "  </thead>\n",
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       "      <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",
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       "    <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",
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       "      <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",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140607</td>\n",
       "      <td>tt2488496</td>\n",
       "      <td>11.173104</td>\n",
       "      <td>200000000</td>\n",
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       "      <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",
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       "<p>4 rows × 21 columns</p>\n",
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       "       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",
       "\n",
       "                 original_title  \\\n",
       "0                Jurassic World   \n",
       "1            Mad Max: Fury Road   \n",
       "2                     Insurgent   \n",
       "3  Star Wars: The Force Awakens   \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",
       "\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",
       "\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",
       "\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",
       "\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",
       "\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",
       "\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",
       "\n",
       "[4 rows x 21 columns]"
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   ],
   "source": [
    "#load data\n",
    "df = pd.read_csv('/kaggle/input/tmdb-movies-csv/tmdb-movies (1).csv')\n",
    "df.head(4)"
   ]
  },
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      "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",
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      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "#find data types\n",
    "df.dtypes"
   ]
  },
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     "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"
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#find which columns have null values\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "67211910",
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    {
     "data": {
      "text/plain": [
       "(10866, 21)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
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   ],
   "source": [
    "#find shape\n",
    "df.shape"
   ]
  },
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       "      <td>Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...</td>\n",
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       "      <td>Dwight H. Little</td>\n",
       "      <td>Survival is no game</td>\n",
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       "      <td>In the year of 2039, after World Wars destroy ...</td>\n",
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       "         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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#find duplicated rows\n",
    "df[df.duplicated]"
   ]
  },
  {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "      <td>Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...</td>\n",
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       "      <td>Dwight H. Little</td>\n",
       "      <td>Survival is no game</td>\n",
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       "         id    imdb_id  popularity    budget  revenue original_title  \\\n",
       "2089  42194  tt0411951     0.59643  30000000   967000         TEKKEN   \n",
       "2090  42194  tt0411951     0.59643  30000000   967000         TEKKEN   \n",
       "\n",
       "                                                   cast homepage  \\\n",
       "2089  Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...      NaN   \n",
       "2090  Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...      NaN   \n",
       "\n",
       "              director              tagline  ...  \\\n",
       "2089  Dwight H. Little  Survival is no game  ...   \n",
       "2090  Dwight H. Little  Survival is no game  ...   \n",
       "\n",
       "                                               overview runtime  \\\n",
       "2089  In the year of 2039, after World Wars destroy ...      92   \n",
       "2090  In the year of 2039, after World Wars destroy ...      92   \n",
       "\n",
       "                                           genres    production_companies  \\\n",
       "2089  Crime|Drama|Action|Thriller|Science Fiction  Namco|Light Song Films   \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",
       "2089      3/20/10        110           5.0          2010  30000000.0   \n",
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     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "#check if duplicates in id column\n",
    "df[df.duplicated(['id'], keep=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "16ddaaf5",
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   "outputs": [
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       "      <td>Department H sends in Wolverine to track down ...</td>\n",
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       "      <td>Marvel Studios</td>\n",
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       "      <td>Dwight H. Little</td>\n",
       "      <td>Survival is no game</td>\n",
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       "      <td>Opeth: In Live Concert At The Royal Albert Hall</td>\n",
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       "      <td>http://www.opeth.com</td>\n",
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       "      <td>The Loyal Disharmonic Orchestra, Conducted By ...</td>\n",
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       "      <td>As part of the ongoing celebration of their 20...</td>\n",
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       "      <td>Music</td>\n",
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       "      <td>9/21/10</td>\n",
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       "      <td>2010</td>\n",
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       "      <th>4797</th>\n",
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       "      <td>Matt Smith|Jenna Coleman|Richard E. Grant|Ian ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
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       "      <td>Party Bercy</td>\n",
       "      <td>Florence Foresti</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
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       "      <td>TF1 VidÃ©o</td>\n",
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       "    <tr>\n",
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       "      <td>Portal: Survive!</td>\n",
       "      <td>Monique Blanchard|Bradley Mixon</td>\n",
       "      <td>https://www.kickstarter.com/projects/colinandc...</td>\n",
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       "      <td>The Cake is a Lie</td>\n",
       "      <td>...</td>\n",
       "      <td>A short, live action fan film by Collin and Co...</td>\n",
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       "      <td>Action|Science Fiction</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
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       "      <td>Fallen: The Destiny</td>\n",
       "      <td>Paul Wesley|Fernanda Andrade|Tom Skerritt|Rick...</td>\n",
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       "      <td>Mikael Salomon</td>\n",
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       "      <td>...</td>\n",
       "      <td>Aaron and Azazel defeat the Powers, and force ...</td>\n",
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       "      <td>2007</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id    imdb_id  popularity    budget  revenue  \\\n",
       "548   355131        NaN    0.108072         0        0   \n",
       "997   287663        NaN    0.330431         0        0   \n",
       "1528   15257        NaN    0.607851         0        0   \n",
       "1750  101907        NaN    0.256975         0        0   \n",
       "2089   42194  tt0411951    0.596430  30000000   967000   \n",
       "2090   42194  tt0411951    0.596430  30000000   967000   \n",
       "2401   45644        NaN    0.067753         0        0   \n",
       "4797  369145        NaN    0.167501         0        0   \n",
       "4872  269177        NaN    0.090552         0        0   \n",
       "6071  279954        NaN    0.004323       500        0   \n",
       "7527   50127        NaN    0.570337         0        0   \n",
       "7809   50128        NaN    0.060795         0        0   \n",
       "\n",
       "                                       original_title  \\\n",
       "548                        Sense8: Creating the World   \n",
       "997              Star Wars Rebels: Spark of Rebellion   \n",
       "1528                               Hulk vs. Wolverine   \n",
       "1750                                    Hulk vs. Thor   \n",
       "2089                                           TEKKEN   \n",
       "2090                                           TEKKEN   \n",
       "2401  Opeth: In Live Concert At The Royal Albert Hall   \n",
       "4797                          Doctor Who: The Snowmen   \n",
       "4872                                      Party Bercy   \n",
       "6071                                 Portal: Survive!   \n",
       "7527                              Fallen: The Journey   \n",
       "7809                              Fallen: The Destiny   \n",
       "\n",
       "                                                   cast  \\\n",
       "548   Tuppence Middleton|Bae Doona |Brian J. Smith|A...   \n",
       "997   Freddie Prinze Jr.|Vanessa Marshall|Steve Blum...   \n",
       "1528  Fred Tatasciore|Bryce Johnson|Steve Blum|Nolan...   \n",
       "1750  Graham McTavish|Fred Tatasciore|Matthew Wolf|J...   \n",
       "2089  Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...   \n",
       "2090  Jon Foo|Kelly Overton|Cary-Hiroyuki Tagawa|Ian...   \n",
       "2401  Mikael Ã…kerfeldt|Martin \"Axe\" Axenrot|Martin ...   \n",
       "4797  Matt Smith|Jenna Coleman|Richard E. Grant|Ian ...   \n",
       "4872                                   Florence Foresti   \n",
       "6071                    Monique Blanchard|Bradley Mixon   \n",
       "7527  Paul Wesley|Fernanda Andrade|Tom Skerritt|Rick...   \n",
       "7809  Paul Wesley|Fernanda Andrade|Tom Skerritt|Rick...   \n",
       "\n",
       "                                               homepage  \\\n",
       "548                                                 NaN   \n",
       "997                                                 NaN   \n",
       "1528                                                NaN   \n",
       "1750                                                NaN   \n",
       "2089                                                NaN   \n",
       "2090                                                NaN   \n",
       "2401                               http://www.opeth.com   \n",
       "4797                                                NaN   \n",
       "4872                                                NaN   \n",
       "6071  https://www.kickstarter.com/projects/colinandc...   \n",
       "7527                                                NaN   \n",
       "7809                                                NaN   \n",
       "\n",
       "                          director  \\\n",
       "548                            NaN   \n",
       "997      Steward Lee|Steven G. Lee   \n",
       "1528                    Frank Paur   \n",
       "1750                       Sam Liu   \n",
       "2089              Dwight H. Little   \n",
       "2090              Dwight H. Little   \n",
       "2401                           NaN   \n",
       "4797                           NaN   \n",
       "4872                           NaN   \n",
       "6071  Connor McGuire|Colin McGuire   \n",
       "7527                Mikael Salomon   \n",
       "7809                Mikael Salomon   \n",
       "\n",
       "                                                tagline  ...  \\\n",
       "548                                                 NaN  ...   \n",
       "997                                                 NaN  ...   \n",
       "1528                                                NaN  ...   \n",
       "1750                   A Battle Between God and Monster  ...   \n",
       "2089                                Survival is no game  ...   \n",
       "2090                                Survival is no game  ...   \n",
       "2401  The Loyal Disharmonic Orchestra, Conducted By ...  ...   \n",
       "4797                                                NaN  ...   \n",
       "4872                                                NaN  ...   \n",
       "6071                                  The Cake is a Lie  ...   \n",
       "7527                                                NaN  ...   \n",
       "7809                                                NaN  ...   \n",
       "\n",
       "                                               overview runtime  \\\n",
       "548                                                 NaN      25   \n",
       "997   A Long Time Ago In A Galaxy Far, Far Awayâ€¦ A...      44   \n",
       "1528  Department H sends in Wolverine to track down ...      38   \n",
       "1750  For ages, Odin has protected his kingdom of As...      41   \n",
       "2089  In the year of 2039, after World Wars destroy ...      92   \n",
       "2090  In the year of 2039, after World Wars destroy ...      92   \n",
       "2401  As part of the ongoing celebration of their 20...     163   \n",
       "4797  Christmas Eve, 1892, and the falling snow is t...      60   \n",
       "4872  Florence Foresti is offered Bercy tribute to a...     120   \n",
       "6071  A short, live action fan film by Collin and Co...       7   \n",
       "7527  A year later, Aaron is still traveling around ...      80   \n",
       "7809  Aaron and Azazel defeat the Powers, and force ...      80   \n",
       "\n",
       "                                              genres    production_companies  \\\n",
       "548                      Documentary|Science Fiction                 Netflix   \n",
       "997                                              NaN                     NaN   \n",
       "1528                Animation|Action|Science Fiction          Marvel Studios   \n",
       "1750        Action|Animation|Fantasy|Science Fiction          Marvel Studios   \n",
       "2089     Crime|Drama|Action|Thriller|Science Fiction  Namco|Light Song Films   \n",
       "2090     Crime|Drama|Action|Thriller|Science Fiction  Namco|Light Song Films   \n",
       "2401                                           Music                     NaN   \n",
       "4797                                             NaN       BBC Television UK   \n",
       "4872                                          Comedy              TF1 VidÃ©o   \n",
       "6071                          Action|Science Fiction                     NaN   \n",
       "7527           Action|Adventure|Drama|Fantasy|Family                     NaN   \n",
       "7809  Adventure|Fantasy|Drama|Action|Science Fiction                     NaN   \n",
       "\n",
       "     release_date vote_count  vote_average  release_year    budget_adj  \\\n",
       "548       8/10/15         12           7.5          2015  0.000000e+00   \n",
       "997       10/3/14         13           6.8          2014  0.000000e+00   \n",
       "1528      1/27/09         38           6.9          2009  0.000000e+00   \n",
       "1750      1/27/09         38           6.4          2009  0.000000e+00   \n",
       "2089      3/20/10        110           5.0          2010  3.000000e+07   \n",
       "2090      3/20/10        110           5.0          2010  3.000000e+07   \n",
       "2401      9/21/10         10           8.6          2010  0.000000e+00   \n",
       "4797     12/25/12         10           7.8          2012  0.000000e+00   \n",
       "4872      9/23/12         15           6.4          2012  0.000000e+00   \n",
       "6071      10/8/13         11           7.5          2013  4.680167e+02   \n",
       "7527       1/1/07         11           7.3          2007  0.000000e+00   \n",
       "7809       1/1/07         13           7.0          2007  0.000000e+00   \n",
       "\n",
       "      revenue_adj  \n",
       "548           0.0  \n",
       "997           0.0  \n",
       "1528          0.0  \n",
       "1750          0.0  \n",
       "2089     967000.0  \n",
       "2090     967000.0  \n",
       "2401          0.0  \n",
       "4797          0.0  \n",
       "4872          0.0  \n",
       "6071          0.0  \n",
       "7527          0.0  \n",
       "7809          0.0  \n",
       "\n",
       "[12 rows x 21 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check if duplicates in imdb_id column\n",
    "df[df.duplicated(['imdb_id'], keep=False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98759b98",
   "metadata": {
    "papermill": {
     "duration": 0.012111,
     "end_time": "2024-11-18T15:59:38.409725",
     "exception": false,
     "start_time": "2024-11-18T15:59:38.397614",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "374b7aff",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T15:59:38.436230Z",
     "iopub.status.busy": "2024-11-18T15:59:38.435814Z",
     "iopub.status.idle": "2024-11-18T15:59:38.482881Z",
     "shell.execute_reply": "2024-11-18T15:59:38.481478Z"
    },
    "papermill": {
     "duration": 0.063543,
     "end_time": "2024-11-18T15:59:38.485721",
     "exception": false,
     "start_time": "2024-11-18T15:59:38.422178",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10865, 21)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop duplicated row\n",
    "df.drop_duplicates(inplace=True)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "26be6845",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T15:59:38.512151Z",
     "iopub.status.busy": "2024-11-18T15:59:38.511740Z",
     "iopub.status.idle": "2024-11-18T15:59:38.535894Z",
     "shell.execute_reply": "2024-11-18T15:59:38.534554Z"
    },
    "papermill": {
     "duration": 0.040842,
     "end_time": "2024-11-18T15:59:38.538793",
     "exception": false,
     "start_time": "2024-11-18T15:59:38.497951",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "      <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",
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       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
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       "      <td>1.392446e+09</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",
       "0  135397  tt0369610   32.985763  150000000  1513528810  Jurassic World   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   \n",
       "\n",
       "                        homepage         director            tagline  ...  \\\n",
       "0  http://www.jurassicworld.com/  Colin Trevorrow  The park is open.  ...   \n",
       "\n",
       "                                            overview runtime  \\\n",
       "0  Twenty-two years after the events of Jurassic ...     124   \n",
       "\n",
       "                                      genres  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15       5562   \n",
       "\n",
       "   vote_average  release_year    budget_adj   revenue_adj  \n",
       "0           6.5          2015  1.379999e+08  1.392446e+09  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show column titles\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8cc17565",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T15:59:38.565668Z",
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     "iopub.status.idle": "2024-11-18T15:59:38.585924Z",
     "shell.execute_reply": "2024-11-18T15:59:38.584712Z"
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     "duration": 0.037719,
     "end_time": "2024-11-18T15:59:38.588912",
     "exception": false,
     "start_time": "2024-11-18T15:59:38.551193",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "    <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>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
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       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32.985763</td>\n",
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       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>2015</td>\n",
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      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue  original_title  \\\n",
       "0  135397  tt0369610   32.985763  150000000  1513528810  Jurassic World   \n",
       "\n",
       "                                      genres release_date  release_year  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller       6/9/15          2015   \n",
       "\n",
       "     budget_adj   revenue_adj  \n",
       "0  1.379999e+08  1.392446e+09  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop unecessary columns that are not needed for the analysis/recognition of the data\n",
    "df.drop(['cast', 'homepage', 'director', 'tagline', 'overview', 'runtime', 'production_companies', 'vote_count', 'keywords', 'vote_average'], axis=1, inplace=True)\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ac0b6fba",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2024-11-18T15:59:38.637064Z",
     "shell.execute_reply": "2024-11-18T15:59:38.635739Z"
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     "exception": false,
     "start_time": "2024-11-18T15:59:38.601982",
     "status": "completed"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
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       "  <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>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
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       "      <td>135397</td>\n",
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       "      <td>32</td>\n",
       "      <td>150000000</td>\n",
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       "      <td>Jurassic World</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
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      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue  original_title  \\\n",
       "0  135397  tt0369610          32  150000000  1513528810  Jurassic World   \n",
       "\n",
       "                                      genres release_date  release_year  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller       6/9/15          2015   \n",
       "\n",
       "     budget_adj   revenue_adj  \n",
       "0  1.379999e+08  1.392446e+09  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#change popularity to int to improve readability\n",
    "df['popularity'] = df['popularity'].astype(int)\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2d2f9dd5",
   "metadata": {
    "execution": {
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     "status": "completed"
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                  int64\n",
       "imdb_id            object\n",
       "popularity          int64\n",
       "budget              int64\n",
       "revenue             int64\n",
       "original_title     object\n",
       "genres             object\n",
       "release_date       object\n",
       "release_year        int64\n",
       "budget_adj        float64\n",
       "revenue_adj       float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show data types\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ffd10b94",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2024-11-18T15:59:39.178564Z"
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_17/3643704720.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  df['release_date'] = pd.to_datetime(df['release_date'])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "id                         int64\n",
       "imdb_id                   object\n",
       "popularity                 int64\n",
       "budget                     int64\n",
       "revenue                    int64\n",
       "original_title            object\n",
       "genres                    object\n",
       "release_date      datetime64[ns]\n",
       "release_year               int64\n",
       "budget_adj               float64\n",
       "revenue_adj              float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#convert release_date to datetime\n",
    "df['release_date'] = pd.to_datetime(df['release_date'])\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d9fda1a2",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2024-11-18T15:59:39.281741Z",
     "shell.execute_reply": "2024-11-18T15:59:39.280528Z"
    },
    "papermill": {
     "duration": 0.087888,
     "end_time": "2024-11-18T15:59:39.284408",
     "exception": false,
     "start_time": "2024-11-18T15:59:39.196520",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "        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>genres</th>\n",
       "      <th>release_date</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</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Action</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
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       "      <td>Jurassic World</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>2015-06-09</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</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Action</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>2015-05-13</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</td>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.012000e+08</td>\n",
       "      <td>2.716190e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>262500</td>\n",
       "      <td>tt2908446</td>\n",
       "      <td>13</td>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.012000e+08</td>\n",
       "      <td>2.716190e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue      original_title  \\\n",
       "0  135397  tt0369610          32  150000000  1513528810      Jurassic World   \n",
       "0  135397  tt0369610          32  150000000  1513528810      Jurassic World   \n",
       "0  135397  tt0369610          32  150000000  1513528810      Jurassic World   \n",
       "0  135397  tt0369610          32  150000000  1513528810      Jurassic World   \n",
       "1   76341  tt1392190          28  150000000   378436354  Mad Max: Fury Road   \n",
       "1   76341  tt1392190          28  150000000   378436354  Mad Max: Fury Road   \n",
       "1   76341  tt1392190          28  150000000   378436354  Mad Max: Fury Road   \n",
       "1   76341  tt1392190          28  150000000   378436354  Mad Max: Fury Road   \n",
       "2  262500  tt2908446          13  110000000   295238201           Insurgent   \n",
       "2  262500  tt2908446          13  110000000   295238201           Insurgent   \n",
       "\n",
       "            genres release_date  release_year    budget_adj   revenue_adj  \n",
       "0           Action   2015-06-09          2015  1.379999e+08  1.392446e+09  \n",
       "0        Adventure   2015-06-09          2015  1.379999e+08  1.392446e+09  \n",
       "0  Science Fiction   2015-06-09          2015  1.379999e+08  1.392446e+09  \n",
       "0         Thriller   2015-06-09          2015  1.379999e+08  1.392446e+09  \n",
       "1           Action   2015-05-13          2015  1.379999e+08  3.481613e+08  \n",
       "1        Adventure   2015-05-13          2015  1.379999e+08  3.481613e+08  \n",
       "1  Science Fiction   2015-05-13          2015  1.379999e+08  3.481613e+08  \n",
       "1         Thriller   2015-05-13          2015  1.379999e+08  3.481613e+08  \n",
       "2        Adventure   2015-03-18          2015  1.012000e+08  2.716190e+08  \n",
       "2  Science Fiction   2015-03-18          2015  1.012000e+08  2.716190e+08  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#split genres column with function\n",
    "def split_and_explode(df, column_name):    \n",
    "    \n",
    "    # split the genres column by '|'    \n",
    "    df['genres'] = df['genres'].str.split('|')    \n",
    "    \n",
    "    # explode the df    \n",
    "    df = df.explode('genres')    \n",
    "    \n",
    "    return df\n",
    "\n",
    "# add funtion to df\n",
    "df = split_and_explode(df, 'genres')\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "aef1e71c",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2024-11-18T15:59:39.332250Z"
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     "duration": 0.038424,
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     "status": "completed"
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(26955, 11)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop rows with missing or null values\n",
    "df = df.dropna(subset=['budget', 'revenue', 'genres'])\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c48de663",
   "metadata": {
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     "duration": 0.013511,
     "end_time": "2024-11-18T15:59:39.363710",
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     "start_time": "2024-11-18T15:59:39.350199",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5303a7d6",
   "metadata": {
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     "duration": 0.014099,
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    },
    "tags": []
   },
   "source": [
    "### 1. Which genres have the best and worst popularity on average?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "927ebd9a",
   "metadata": {
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     "start_time": "2024-11-18T15:59:39.405235",
     "status": "completed"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_popularity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Adventure</th>\n",
       "      <td>0.732835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Science Fiction</th>\n",
       "      <td>0.607811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fantasy</th>\n",
       "      <td>0.586245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Action</th>\n",
       "      <td>0.519715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Animation</th>\n",
       "      <td>0.432046</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 average_popularity\n",
       "genres                             \n",
       "Adventure                  0.732835\n",
       "Science Fiction            0.607811\n",
       "Fantasy                    0.586245\n",
       "Action                     0.519715\n",
       "Animation                  0.432046"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#calculate average\n",
    "rp = df.groupby('genres').agg(    \n",
    "    average_popularity=('popularity', 'mean'))\n",
    "\n",
    "#sort genres\n",
    "rp = rp.sort_values(by=['average_popularity', 'genres'], ascending=False)\n",
    "rp.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f9a1e7fb",
   "metadata": {
    "execution": {
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   "outputs": [
    {
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       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_popularity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Adventure</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Science Fiction</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fantasy</th>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Action</th>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Animation</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 average_popularity\n",
       "genres                             \n",
       "Adventure                        73\n",
       "Science Fiction                  60\n",
       "Fantasy                          58\n",
       "Action                           51\n",
       "Animation                        43"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#convert average popularity to percentage\n",
    "rp['average_popularity'] = (rp['average_popularity'] * 100).astype(int)\n",
    "rp.head()"
   ]
  },
  {
   "cell_type": "code",
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    "tags": []
   },
   "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>average_popularity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Adventure</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Science Fiction</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fantasy</th>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Action</th>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Animation</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Family</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>War</th>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thriller</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crime</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mystery</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Comedy</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drama</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Romance</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>History</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Horror</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TV Movie</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Documentary</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Foreign</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 average_popularity\n",
       "genres                             \n",
       "Adventure                        73\n",
       "Science Fiction                  60\n",
       "Fantasy                          58\n",
       "Action                           51\n",
       "Animation                        43\n",
       "Family                           38\n",
       "War                              34\n",
       "Thriller                         33\n",
       "Crime                            32\n",
       "Mystery                          30\n",
       "Western                          23\n",
       "Comedy                           21\n",
       "Drama                            21\n",
       "Romance                          21\n",
       "History                          18\n",
       "Music                            14\n",
       "Horror                           13\n",
       "TV Movie                          1\n",
       "Documentary                       0\n",
       "Foreign                           0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0cb5ab30",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T15:59:39.580881Z",
     "iopub.status.busy": "2024-11-18T15:59:39.579610Z",
     "iopub.status.idle": "2024-11-18T15:59:40.243707Z",
     "shell.execute_reply": "2024-11-18T15:59:40.242246Z"
    },
    "papermill": {
     "duration": 0.683671,
     "end_time": "2024-11-18T15:59:40.247214",
     "exception": false,
     "start_time": "2024-11-18T15:59:39.563543",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#make figure and axis\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "\n",
    "#plot bar chart\n",
    "bars = ax.bar(rp.index, rp['average_popularity'], color='purple')\n",
    "\n",
    "#rotate labels to make them readable\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "#set labels and title\n",
    "ax.set_xlabel(\"Genre\")\n",
    "ax.set_ylabel(\"Average Popularity (%)\")\n",
    "ax.set_title(\"Average Popularity Among Genres\")\n",
    "\n",
    "#plot value labels\n",
    "for bar in bars:    \n",
    "    yval = bar.get_height()    \n",
    "    ax.text(bar.get_x() + bar.get_width() / 2, yval, int(yval), ha='center', va='bottom')    \n",
    "    \n",
    "#adjust layout and display\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca96e0b3",
   "metadata": {
    "papermill": {
     "duration": 0.015889,
     "end_time": "2024-11-18T15:59:40.279614",
     "exception": false,
     "start_time": "2024-11-18T15:59:40.263725",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2. What is the distribution of movie budgets in this dataset?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "636f84c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T15:59:40.315075Z",
     "iopub.status.busy": "2024-11-18T15:59:40.314573Z",
     "iopub.status.idle": "2024-11-18T15:59:40.328548Z",
     "shell.execute_reply": "2024-11-18T15:59:40.327291Z"
    },
    "papermill": {
     "duration": 0.034635,
     "end_time": "2024-11-18T15:59:40.331305",
     "exception": false,
     "start_time": "2024-11-18T15:59:40.296670",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13601, 11)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop rows where budget is zero\n",
    "df = df[df['budget'] != 0]\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "474047ba",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T15:59:40.366254Z",
     "iopub.status.busy": "2024-11-18T15:59:40.365795Z",
     "iopub.status.idle": "2024-11-18T15:59:40.686324Z",
     "shell.execute_reply": "2024-11-18T15:59:40.684931Z"
    },
    "papermill": {
     "duration": 0.341841,
     "end_time": "2024-11-18T15:59:40.689426",
     "exception": false,
     "start_time": "2024-11-18T15:59:40.347585",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot figure\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "#convert budget to millions\n",
    "df['budget_millions'] = df['budget'] / 1_000_000\n",
    "\n",
    "#create hist\n",
    "plt.hist(df['budget_millions'], bins=10, color='purple', edgecolor='orange')\n",
    "\n",
    "#add title and label\n",
    "plt.title('Distribution of Movie Budgets')\n",
    "plt.xlabel('Budget (in Millions USD)')\n",
    "plt.ylabel('Number of Movies')\n",
    "\n",
    "#display\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b098d8ef",
   "metadata": {
    "papermill": {
     "duration": 0.01675,
     "end_time": "2024-11-18T15:59:40.722730",
     "exception": false,
     "start_time": "2024-11-18T15:59:40.705980",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Conclusions\n",
    "### Which genres have the best and worst popularity on average??\n",
    "Adventure is the most popular on average with 73% popularity. TV movies, documentaries and foreign films have the lowest popularity with 0 to 1 percent popularity. \n",
    "\n",
    "#### Limitation to this analysis\n",
    "A limitation with this analysis is that it doesn't take into account the variability of different factors. Popularity of different movies can differ based on factors including when it was released (time of year), marketing, cast or director. By taking these averages at face value we overlook the nuances and outliers that might occur due to this. \n",
    "\n",
    "There also is not a justification in this dataset that takes into account the number of movies within each genre. This can skew the results because one genre may be utilizing 500 movies and another may only be utilizing 150 depending on how many of each were in the given dataset. Additional analysis can be done by getting a set sample number for each genre and comparing the average popularity. \n",
    "> \n",
    "> \n",
    "> \n",
    "\n",
    "### What is the distribution of movie budgets in this dataset?\n",
    "The histogram that displays the distribution of movie budgets is right skewed, meaning that majority of the movies in this dataset have a lower budget.There is a sampling bias. There were rows with the budget column not filled in or at 0 and those rows were dropped to not skew the analysis. Those values could have strongly affected the analysis if filled in properly. \n",
    "\n",
    "Additional research could be done in obtaining the missing values for more accurate results. Also, an analysis can be done using a box plot to understand the ranges of budgets in this table."
   ]
  }
 ],
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