Data exploration & preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bf5810cc-544b-40dc-9a54-a52bf74d78a7",
   "metadata": {},
   "source": [
    "# Netflix - Data explorarion and preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18fca1f3",
   "metadata": {},
   "source": [
    "In this notevook we use the dataset *'Netflix titles'*\n",
    "\n",
    "[Dataset available at this link](https://www.kaggle.com/datasets/shivamb/netflix-shows) \n",
    "\n",
    "\n",
    "#### About Dataset\n",
    "\n",
    "This dataset contains Unlabelled text data of around 9000 Netflix Shows and Movies along with Full details like Cast, Release Year, Rating, Description, etc.\n",
    "\n",
    "Columns of dataset:\n",
    "* **`show_id`** Unique ID for every Movie / Tv Show\n",
    "* **`type`** Identifier a Movie or TV Show\n",
    "* **`title`** Title of the Movie / Tv Show \n",
    "* **`director`** Director of the Movie\n",
    "* **`cast`** Actors involved in the movie / show \n",
    "* **`country`** Country where the movie / show was produced \n",
    "* **`date_added`** Date it was added on Netflix\n",
    "* **`release_year`** Actual Release year of the move / show\n",
    "* **`rating`** TV Rating of the movie / show\n",
    "* **`duration`** Total Duration - in minutes or number of seasons\n",
    "\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef497287",
   "metadata": {},
   "source": [
    "**Import libraries**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "b4d4ed8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from collections import Counter "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35d9fc1a",
   "metadata": {},
   "source": [
    "**Load dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6097c651",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('netflix_titles.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "38694927",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>show_id</th>\n",
       "      <th>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dick Johnson Is Dead</td>\n",
       "      <td>Kirsten Johnson</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 25, 2021</td>\n",
       "      <td>2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>As her father nears the end of his life, filmm...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Blood &amp; Water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Mysteries</td>\n",
       "      <td>After crossing paths at a party, a Cape Town t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Ganglands</td>\n",
       "      <td>Julien Leclercq</td>\n",
       "      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, TV Act...</td>\n",
       "      <td>To protect his family from a powerful drug lor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Jailbirds New Orleans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, Reality TV</td>\n",
       "      <td>Feuds, flirtations and toilet talk go down amo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Kota Factory</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...</td>\n",
       "      <td>India</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>International TV Shows, Romantic TV Shows, TV ...</td>\n",
       "      <td>In a city of coaching centers known to train I...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  show_id     type                  title         director  \\\n",
       "0      s1    Movie   Dick Johnson Is Dead  Kirsten Johnson   \n",
       "1      s2  TV Show          Blood & Water              NaN   \n",
       "2      s3  TV Show              Ganglands  Julien Leclercq   \n",
       "3      s4  TV Show  Jailbirds New Orleans              NaN   \n",
       "4      s5  TV Show           Kota Factory              NaN   \n",
       "\n",
       "                                                cast        country  \\\n",
       "0                                                NaN  United States   \n",
       "1  Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   \n",
       "2  Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   \n",
       "3                                                NaN            NaN   \n",
       "4  Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...          India   \n",
       "\n",
       "           date_added  release_year rating   duration  \\\n",
       "0  September 25, 2021          2020  PG-13     90 min   \n",
       "1  September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "2  September 24, 2021          2021  TV-MA   1 Season   \n",
       "3  September 24, 2021          2021  TV-MA   1 Season   \n",
       "4  September 24, 2021          2021  TV-MA  2 Seasons   \n",
       "\n",
       "                                           listed_in  \\\n",
       "0                                      Documentaries   \n",
       "1    International TV Shows, TV Dramas, TV Mysteries   \n",
       "2  Crime TV Shows, International TV Shows, TV Act...   \n",
       "3                             Docuseries, Reality TV   \n",
       "4  International TV Shows, Romantic TV Shows, TV ...   \n",
       "\n",
       "                                         description  \n",
       "0  As her father nears the end of his life, filmm...  \n",
       "1  After crossing paths at a party, a Cape Town t...  \n",
       "2  To protect his family from a powerful drug lor...  \n",
       "3  Feuds, flirtations and toilet talk go down amo...  \n",
       "4  In a city of coaching centers known to train I...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show first five rows of dataset\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "36afea6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape: (8807, 12) \n"
     ]
    }
   ],
   "source": [
    "print(f'Shape: {df.shape} ')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cd18269",
   "metadata": {},
   "source": [
    "**Search columns with missing values**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3b28dce5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        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>show_id</th>\n",
       "      <th>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8802</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8803</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8804</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8807 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      show_id   type  title  director   cast  country  date_added  \\\n",
       "0       False  False  False     False   True    False       False   \n",
       "1       False  False  False      True  False    False       False   \n",
       "2       False  False  False     False  False     True       False   \n",
       "3       False  False  False      True   True     True       False   \n",
       "4       False  False  False      True  False    False       False   \n",
       "...       ...    ...    ...       ...    ...      ...         ...   \n",
       "8802    False  False  False     False  False    False       False   \n",
       "8803    False  False  False      True   True     True       False   \n",
       "8804    False  False  False     False  False    False       False   \n",
       "8805    False  False  False     False  False    False       False   \n",
       "8806    False  False  False     False  False    False       False   \n",
       "\n",
       "      release_year  rating  duration  listed_in  description  \n",
       "0            False   False     False      False        False  \n",
       "1            False   False     False      False        False  \n",
       "2            False   False     False      False        False  \n",
       "3            False   False     False      False        False  \n",
       "4            False   False     False      False        False  \n",
       "...            ...     ...       ...        ...          ...  \n",
       "8802         False   False     False      False        False  \n",
       "8803         False   False     False      False        False  \n",
       "8804         False   False     False      False        False  \n",
       "8805         False   False     False      False        False  \n",
       "8806         False   False     False      False        False  \n",
       "\n",
       "[8807 rows x 12 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a802ddf1",
   "metadata": {},
   "source": [
    "*If at least one element of column is null the result is True, False otherwise*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7d9fcab0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id         False\n",
       "type            False\n",
       "title           False\n",
       "director         True\n",
       "cast             True\n",
       "country          True\n",
       "date_added       True\n",
       "release_year    False\n",
       "rating           True\n",
       "duration         True\n",
       "listed_in       False\n",
       "description     False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d020761b",
   "metadata": {},
   "source": [
    "**Show the number of missing values for each column**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "109b9292",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id            0\n",
       "type               0\n",
       "title              0\n",
       "director        2634\n",
       "cast             825\n",
       "country          831\n",
       "date_added        10\n",
       "release_year       0\n",
       "rating             4\n",
       "duration           3\n",
       "listed_in          0\n",
       "description        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bb61e1b",
   "metadata": {},
   "source": [
    "**Shows total number of missing values for the entire dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "78041e74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4307"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "151017be",
   "metadata": {},
   "source": [
    "**Now we replace missing values with a default value**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a2083653",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Kirsten Johnson\n",
       "1                   NaN\n",
       "2       Julien Leclercq\n",
       "3                   NaN\n",
       "4                   NaN\n",
       "             ...       \n",
       "8802      David Fincher\n",
       "8803                NaN\n",
       "8804    Ruben Fleischer\n",
       "8805       Peter Hewitt\n",
       "8806        Mozez Singh\n",
       "Name: director, Length: 8807, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.director"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "75078224",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Kirsten Johnson\n",
       "1           No Director\n",
       "2       Julien Leclercq\n",
       "3           No Director\n",
       "4           No Director\n",
       "             ...       \n",
       "8802      David Fincher\n",
       "8803        No Director\n",
       "8804    Ruben Fleischer\n",
       "8805       Peter Hewitt\n",
       "8806        Mozez Singh\n",
       "Name: director, Length: 8807, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.director.fillna('No Director', inplace=True)\n",
    "df.director"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "36649f4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                                     NaN\n",
       "1       Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...\n",
       "2       Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...\n",
       "3                                                     NaN\n",
       "4       Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...\n",
       "                              ...                        \n",
       "8802    Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...\n",
       "8803                                                  NaN\n",
       "8804    Jesse Eisenberg, Woody Harrelson, Emma Stone, ...\n",
       "8805    Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...\n",
       "8806    Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...\n",
       "Name: cast, Length: 8807, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.cast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "716a6cee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                                 No Cast\n",
       "1       Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...\n",
       "2       Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...\n",
       "3                                                 No Cast\n",
       "4       Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...\n",
       "                              ...                        \n",
       "8802    Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...\n",
       "8803                                              No Cast\n",
       "8804    Jesse Eisenberg, Woody Harrelson, Emma Stone, ...\n",
       "8805    Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...\n",
       "8806    Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...\n",
       "Name: cast, Length: 8807, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.cast.fillna('No Cast', inplace=True)\n",
    "df.cast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b0179d7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       United States\n",
       "1        South Africa\n",
       "2                 NaN\n",
       "3                 NaN\n",
       "4               India\n",
       "            ...      \n",
       "8802    United States\n",
       "8803              NaN\n",
       "8804    United States\n",
       "8805    United States\n",
       "8806            India\n",
       "Name: country, Length: 8807, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fb411edb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       United States\n",
       "1        South Africa\n",
       "2          No Country\n",
       "3          No Country\n",
       "4               India\n",
       "            ...      \n",
       "8802    United States\n",
       "8803       No Country\n",
       "8804    United States\n",
       "8805    United States\n",
       "8806            India\n",
       "Name: country, Length: 8807, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.country.fillna('No Country', inplace=True)\n",
    "df.country"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ae54549",
   "metadata": {},
   "source": [
    "*If at least one of columns:*\n",
    "* *date_added*\n",
    "* *rating*\n",
    "* *duration*\n",
    "\n",
    "*has missing value, we drop the row*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "30b29e35",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset=[\"date_added\", \"rating\", \"duration\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ffbbcd0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id         False\n",
       "type            False\n",
       "title           False\n",
       "director        False\n",
       "cast            False\n",
       "country         False\n",
       "date_added      False\n",
       "release_year    False\n",
       "rating          False\n",
       "duration        False\n",
       "listed_in       False\n",
       "description     False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "08d05fd4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape after changes: (8790, 12)\n"
     ]
    }
   ],
   "source": [
    "print(f'Shape after changes: {df.shape}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "705b6e47",
   "metadata": {},
   "source": [
    "**Min e max of column release_year**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f71f5e0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1925"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['release_year'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5d4b68a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2021"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['release_year'].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edb018c5",
   "metadata": {},
   "source": [
    "**Groupby**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0943454f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x000001F114119950>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('rating')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "dfe4f220",
   "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>show_id</th>\n",
       "      <th>type</th>\n",
       "      <th>title</th>\n",
       "      <th>director</th>\n",
       "      <th>cast</th>\n",
       "      <th>country</th>\n",
       "      <th>date_added</th>\n",
       "      <th>release_year</th>\n",
       "      <th>rating</th>\n",
       "      <th>duration</th>\n",
       "      <th>listed_in</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dick Johnson Is Dead</td>\n",
       "      <td>Kirsten Johnson</td>\n",
       "      <td>No Cast</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 25, 2021</td>\n",
       "      <td>2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>As her father nears the end of his life, filmm...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>s10</td>\n",
       "      <td>Movie</td>\n",
       "      <td>The Starling</td>\n",
       "      <td>Theodore Melfi</td>\n",
       "      <td>Melissa McCarthy, Chris O'Dowd, Kevin Kline, T...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>104 min</td>\n",
       "      <td>Comedies, Dramas</td>\n",
       "      <td>A woman adjusting to life after a loss contend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>s28</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Grown Ups</td>\n",
       "      <td>Dennis Dugan</td>\n",
       "      <td>Adam Sandler, Kevin James, Chris Rock, David S...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 20, 2021</td>\n",
       "      <td>2010</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>103 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>Mourning the loss of their beloved junior high...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>s29</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Dark Skies</td>\n",
       "      <td>Scott Stewart</td>\n",
       "      <td>Keri Russell, Josh Hamilton, J.K. Simmons, Dak...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 19, 2021</td>\n",
       "      <td>2013</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>97 min</td>\n",
       "      <td>Horror Movies, Sci-Fi &amp; Fantasy</td>\n",
       "      <td>A family’s idyllic suburban life shatters when...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>s30</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Paranoia</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Liam Hemsworth, Gary Oldman, Amber Heard, Harr...</td>\n",
       "      <td>United States, India, France</td>\n",
       "      <td>September 19, 2021</td>\n",
       "      <td>2013</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>106 min</td>\n",
       "      <td>Thrillers</td>\n",
       "      <td>Blackmailed by his company's CEO, a low-level ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8757</th>\n",
       "      <td>s8758</td>\n",
       "      <td>Movie</td>\n",
       "      <td>World Trade Center</td>\n",
       "      <td>Oliver Stone</td>\n",
       "      <td>Nicolas Cage, Michael Peña, Maggie Gyllenhaal,...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 20, 2019</td>\n",
       "      <td>2006</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>129 min</td>\n",
       "      <td>Action &amp; Adventure, Dramas</td>\n",
       "      <td>Working under treacherous conditions, an army ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8764</th>\n",
       "      <td>s8765</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Wyatt Earp</td>\n",
       "      <td>Lawrence Kasdan</td>\n",
       "      <td>Kevin Costner, Dennis Quaid, Gene Hackman, Dav...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>1994</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>191 min</td>\n",
       "      <td>Action &amp; Adventure</td>\n",
       "      <td>Legendary lawman Wyatt Earp is continually at ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8766</th>\n",
       "      <td>s8767</td>\n",
       "      <td>Movie</td>\n",
       "      <td>XXx</td>\n",
       "      <td>Rob Cohen</td>\n",
       "      <td>Vin Diesel, Asia Argento, Marton Csokas, Samue...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2019</td>\n",
       "      <td>2002</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>124 min</td>\n",
       "      <td>Action &amp; Adventure, Sports Movies</td>\n",
       "      <td>A notorious underground rush-seeker deemed unt...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8767</th>\n",
       "      <td>s8768</td>\n",
       "      <td>Movie</td>\n",
       "      <td>XXX: State of the Union</td>\n",
       "      <td>Lee Tamahori</td>\n",
       "      <td>Ice Cube, Samuel L. Jackson, Willem Dafoe, Sco...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2019</td>\n",
       "      <td>2005</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>101 min</td>\n",
       "      <td>Action &amp; Adventure</td>\n",
       "      <td>In this action-packed follow-up to XXX, U.S. i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8782</th>\n",
       "      <td>s8783</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Yoga Hosers</td>\n",
       "      <td>Kevin Smith</td>\n",
       "      <td>Harley Quinn Smith, Lily-Rose Depp, Johnny Dep...</td>\n",
       "      <td>United States</td>\n",
       "      <td>December 2, 2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Comedies, Horror Movies, Independent Movies</td>\n",
       "      <td>With an all-important high school party at sta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>490 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id   type                    title         director  \\\n",
       "0         s1  Movie     Dick Johnson Is Dead  Kirsten Johnson   \n",
       "9        s10  Movie             The Starling   Theodore Melfi   \n",
       "27       s28  Movie                Grown Ups     Dennis Dugan   \n",
       "28       s29  Movie               Dark Skies    Scott Stewart   \n",
       "29       s30  Movie                 Paranoia   Robert Luketic   \n",
       "...      ...    ...                      ...              ...   \n",
       "8757   s8758  Movie       World Trade Center     Oliver Stone   \n",
       "8764   s8765  Movie               Wyatt Earp  Lawrence Kasdan   \n",
       "8766   s8767  Movie                      XXx        Rob Cohen   \n",
       "8767   s8768  Movie  XXX: State of the Union     Lee Tamahori   \n",
       "8782   s8783  Movie              Yoga Hosers      Kevin Smith   \n",
       "\n",
       "                                                   cast  \\\n",
       "0                                               No Cast   \n",
       "9     Melissa McCarthy, Chris O'Dowd, Kevin Kline, T...   \n",
       "27    Adam Sandler, Kevin James, Chris Rock, David S...   \n",
       "28    Keri Russell, Josh Hamilton, J.K. Simmons, Dak...   \n",
       "29    Liam Hemsworth, Gary Oldman, Amber Heard, Harr...   \n",
       "...                                                 ...   \n",
       "8757  Nicolas Cage, Michael Peña, Maggie Gyllenhaal,...   \n",
       "8764  Kevin Costner, Dennis Quaid, Gene Hackman, Dav...   \n",
       "8766  Vin Diesel, Asia Argento, Marton Csokas, Samue...   \n",
       "8767  Ice Cube, Samuel L. Jackson, Willem Dafoe, Sco...   \n",
       "8782  Harley Quinn Smith, Lily-Rose Depp, Johnny Dep...   \n",
       "\n",
       "                           country          date_added  release_year rating  \\\n",
       "0                    United States  September 25, 2021          2020  PG-13   \n",
       "9                    United States  September 24, 2021          2021  PG-13   \n",
       "27                   United States  September 20, 2021          2010  PG-13   \n",
       "28                   United States  September 19, 2021          2013  PG-13   \n",
       "29    United States, India, France  September 19, 2021          2013  PG-13   \n",
       "...                            ...                 ...           ...    ...   \n",
       "8757                 United States   November 20, 2019          2006  PG-13   \n",
       "8764                 United States     January 1, 2020          1994  PG-13   \n",
       "8766                 United States     January 1, 2019          2002  PG-13   \n",
       "8767                 United States     January 1, 2019          2005  PG-13   \n",
       "8782                 United States    December 2, 2016          2016  PG-13   \n",
       "\n",
       "     duration                                    listed_in  \\\n",
       "0      90 min                                Documentaries   \n",
       "9     104 min                             Comedies, Dramas   \n",
       "27    103 min                                     Comedies   \n",
       "28     97 min              Horror Movies, Sci-Fi & Fantasy   \n",
       "29    106 min                                    Thrillers   \n",
       "...       ...                                          ...   \n",
       "8757  129 min                   Action & Adventure, Dramas   \n",
       "8764  191 min                           Action & Adventure   \n",
       "8766  124 min            Action & Adventure, Sports Movies   \n",
       "8767  101 min                           Action & Adventure   \n",
       "8782   88 min  Comedies, Horror Movies, Independent Movies   \n",
       "\n",
       "                                            description  \n",
       "0     As her father nears the end of his life, filmm...  \n",
       "9     A woman adjusting to life after a loss contend...  \n",
       "27    Mourning the loss of their beloved junior high...  \n",
       "28    A family’s idyllic suburban life shatters when...  \n",
       "29    Blackmailed by his company's CEO, a low-level ...  \n",
       "...                                                 ...  \n",
       "8757  Working under treacherous conditions, an army ...  \n",
       "8764  Legendary lawman Wyatt Earp is continually at ...  \n",
       "8766  A notorious underground rush-seeker deemed unt...  \n",
       "8767  In this action-packed follow-up to XXX, U.S. i...  \n",
       "8782  With an all-important high school party at sta...  \n",
       "\n",
       "[490 rows x 12 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('rating').get_group(\"PG-13\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ea8dcb51",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>s10</td>\n",
       "      <td>Movie</td>\n",
       "      <td>The Starling</td>\n",
       "      <td>Theodore Melfi</td>\n",
       "      <td>Melissa McCarthy, Chris O'Dowd, Kevin Kline, T...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 24, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>104 min</td>\n",
       "      <td>Comedies, Dramas</td>\n",
       "      <td>A woman adjusting to life after a loss contend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>s89</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Blood Brothers: Malcolm X &amp; Muhammad Ali</td>\n",
       "      <td>Marcus Clarke</td>\n",
       "      <td>Malcolm X, Muhammad Ali</td>\n",
       "      <td>No Country</td>\n",
       "      <td>September 9, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>96 min</td>\n",
       "      <td>Documentaries, Sports Movies</td>\n",
       "      <td>From a chance meeting to a tragic fallout, Mal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>s561</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Audible</td>\n",
       "      <td>Matt Ogens</td>\n",
       "      <td>No Cast</td>\n",
       "      <td>No Country</td>\n",
       "      <td>July 1, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>39 min</td>\n",
       "      <td>Documentaries, Sports Movies</td>\n",
       "      <td>Shaken by a friend's suicide, a Deaf high scho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>s1371</td>\n",
       "      <td>Movie</td>\n",
       "      <td>The Dig</td>\n",
       "      <td>Simon Stone</td>\n",
       "      <td>Carey Mulligan, Ralph Fiennes, Lily James, Joh...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>January 29, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>113 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>On the eve of World War II, a British widow hi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>s1089</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Thunder Force</td>\n",
       "      <td>Ben Falcone</td>\n",
       "      <td>Melissa McCarthy, Octavia Spencer, Jason Batem...</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 9, 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>107 min</td>\n",
       "      <td>Action &amp; Adventure, Comedies</td>\n",
       "      <td>Two childhood best friends reunite as an unlik...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7844</th>\n",
       "      <td>s7845</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Red Dawn</td>\n",
       "      <td>John Milius</td>\n",
       "      <td>Patrick Swayze, C. Thomas Howell, Lea Thompson...</td>\n",
       "      <td>United States</td>\n",
       "      <td>December 31, 2019</td>\n",
       "      <td>1984</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>114 min</td>\n",
       "      <td>Action &amp; Adventure, Cult Movies</td>\n",
       "      <td>A group of teenagers witnesses Soviet and Cuba...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4861</th>\n",
       "      <td>s4862</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Lupin the 3rd: The Castle of Cagliostro: Speci...</td>\n",
       "      <td>Hayao Miyazaki</td>\n",
       "      <td>Yasuo Yamada, Kiyoshi Kobayashi, Eiko Masuyama...</td>\n",
       "      <td>Japan</td>\n",
       "      <td>May 15, 2018</td>\n",
       "      <td>1979</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>100 min</td>\n",
       "      <td>Action &amp; Adventure, Anime Features, Classic Mo...</td>\n",
       "      <td>Lupin, his sidekick, Jigen, and the samurai wa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7659</th>\n",
       "      <td>s7660</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Once Upon a Time in the West</td>\n",
       "      <td>Sergio Leone</td>\n",
       "      <td>Henry Fonda, Charles Bronson, Claudia Cardinal...</td>\n",
       "      <td>Italy, United States</td>\n",
       "      <td>November 20, 2019</td>\n",
       "      <td>1968</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>166 min</td>\n",
       "      <td>Action &amp; Adventure, Classic Movies, Internatio...</td>\n",
       "      <td>In this epic spaghetti Western, a flinty gunsl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6619</th>\n",
       "      <td>s6620</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Doctor Zhivago</td>\n",
       "      <td>David Lean</td>\n",
       "      <td>Omar Sharif, Julie Christie, Geraldine Chaplin...</td>\n",
       "      <td>United States, Italy, United Kingdom, Liechten...</td>\n",
       "      <td>November 1, 2019</td>\n",
       "      <td>1965</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>200 min</td>\n",
       "      <td>Classic Movies, Dramas, Romantic Movies</td>\n",
       "      <td>A young physician and his beautiful mistress g...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7839</th>\n",
       "      <td>s7840</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Rebel Without a Cause</td>\n",
       "      <td>Nicholas Ray</td>\n",
       "      <td>James Dean, Natalie Wood, Sal Mineo, Jim Backu...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 1, 2019</td>\n",
       "      <td>1955</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Classic Movies, Dramas</td>\n",
       "      <td>When Jim Stark arrives in a new town with his ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>490 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     show_id   type                                              title  \\\n",
       "9        s10  Movie                                       The Starling   \n",
       "88       s89  Movie           Blood Brothers: Malcolm X & Muhammad Ali   \n",
       "560     s561  Movie                                            Audible   \n",
       "1370   s1371  Movie                                            The Dig   \n",
       "1088   s1089  Movie                                      Thunder Force   \n",
       "...      ...    ...                                                ...   \n",
       "7844   s7845  Movie                                           Red Dawn   \n",
       "4861   s4862  Movie  Lupin the 3rd: The Castle of Cagliostro: Speci...   \n",
       "7659   s7660  Movie                       Once Upon a Time in the West   \n",
       "6619   s6620  Movie                                     Doctor Zhivago   \n",
       "7839   s7840  Movie                              Rebel Without a Cause   \n",
       "\n",
       "            director                                               cast  \\\n",
       "9     Theodore Melfi  Melissa McCarthy, Chris O'Dowd, Kevin Kline, T...   \n",
       "88     Marcus Clarke                            Malcolm X, Muhammad Ali   \n",
       "560       Matt Ogens                                            No Cast   \n",
       "1370     Simon Stone  Carey Mulligan, Ralph Fiennes, Lily James, Joh...   \n",
       "1088     Ben Falcone  Melissa McCarthy, Octavia Spencer, Jason Batem...   \n",
       "...              ...                                                ...   \n",
       "7844     John Milius  Patrick Swayze, C. Thomas Howell, Lea Thompson...   \n",
       "4861  Hayao Miyazaki  Yasuo Yamada, Kiyoshi Kobayashi, Eiko Masuyama...   \n",
       "7659    Sergio Leone  Henry Fonda, Charles Bronson, Claudia Cardinal...   \n",
       "6619      David Lean  Omar Sharif, Julie Christie, Geraldine Chaplin...   \n",
       "7839    Nicholas Ray  James Dean, Natalie Wood, Sal Mineo, Jim Backu...   \n",
       "\n",
       "                                                country          date_added  \\\n",
       "9                                         United States  September 24, 2021   \n",
       "88                                           No Country   September 9, 2021   \n",
       "560                                          No Country        July 1, 2021   \n",
       "1370                                     United Kingdom    January 29, 2021   \n",
       "1088                                      United States       April 9, 2021   \n",
       "...                                                 ...                 ...   \n",
       "7844                                      United States   December 31, 2019   \n",
       "4861                                              Japan        May 15, 2018   \n",
       "7659                               Italy, United States   November 20, 2019   \n",
       "6619  United States, Italy, United Kingdom, Liechten...    November 1, 2019   \n",
       "7839                                      United States    November 1, 2019   \n",
       "\n",
       "      release_year rating duration  \\\n",
       "9             2021  PG-13  104 min   \n",
       "88            2021  PG-13   96 min   \n",
       "560           2021  PG-13   39 min   \n",
       "1370          2021  PG-13  113 min   \n",
       "1088          2021  PG-13  107 min   \n",
       "...            ...    ...      ...   \n",
       "7844          1984  PG-13  114 min   \n",
       "4861          1979  PG-13  100 min   \n",
       "7659          1968  PG-13  166 min   \n",
       "6619          1965  PG-13  200 min   \n",
       "7839          1955  PG-13  111 min   \n",
       "\n",
       "                                              listed_in  \\\n",
       "9                                      Comedies, Dramas   \n",
       "88                         Documentaries, Sports Movies   \n",
       "560                        Documentaries, Sports Movies   \n",
       "1370                       Dramas, International Movies   \n",
       "1088                       Action & Adventure, Comedies   \n",
       "...                                                 ...   \n",
       "7844                    Action & Adventure, Cult Movies   \n",
       "4861  Action & Adventure, Anime Features, Classic Mo...   \n",
       "7659  Action & Adventure, Classic Movies, Internatio...   \n",
       "6619            Classic Movies, Dramas, Romantic Movies   \n",
       "7839                             Classic Movies, Dramas   \n",
       "\n",
       "                                            description  \n",
       "9     A woman adjusting to life after a loss contend...  \n",
       "88    From a chance meeting to a tragic fallout, Mal...  \n",
       "560   Shaken by a friend's suicide, a Deaf high scho...  \n",
       "1370  On the eve of World War II, a British widow hi...  \n",
       "1088  Two childhood best friends reunite as an unlik...  \n",
       "...                                                 ...  \n",
       "7844  A group of teenagers witnesses Soviet and Cuba...  \n",
       "4861  Lupin, his sidekick, Jigen, and the samurai wa...  \n",
       "7659  In this epic spaghetti Western, a flinty gunsl...  \n",
       "6619  A young physician and his beautiful mistress g...  \n",
       "7839  When Jim Stark arrives in a new town with his ...  \n",
       "\n",
       "[490 rows x 12 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"rating\").get_group('PG-13').sort_values(by=['release_year'], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d630e879",
   "metadata": {},
   "source": [
    "**Movies VS TV Shows**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "46dfd3e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Movie      6126\n",
       "TV Show    2664\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.type.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "34e54f3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Movie', 'TV Show'], dtype='object')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.type.value_counts().index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7c94878e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.figure(figsize=(width, height)) in inches\n",
    "\n",
    "#autopct: If not None, is a string or function used to label the wedges with their numeric value. \n",
    "#The label will be placed inside the wedge. If it is a format string, the label will be fmt % pct. \n",
    "#If it is a function, it will be called.\n",
    "\n",
    "#explode: If not None, is a len(x) array which specifies the fraction of the radius with which to offset each wedge.\n",
    "\n",
    "plt.figure()\n",
    "plt.title(\"Movies VS TV Shows\")\n",
    "plot = plt.pie(df.type.value_counts(), \n",
    "              explode=(0.025,0.025), \n",
    "              labels=df.type.value_counts().index, \n",
    "              autopct=\"%1.2f%%\", \n",
    "              colors=[\"coral\",\"darkturquoise\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f1b5266",
   "metadata": {},
   "source": [
    "**TOP 10 genres**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "31ecda56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                        Documentaries\n",
       "1      International TV Shows, TV Dramas, TV Mysteries\n",
       "2    Crime TV Shows, International TV Shows, TV Act...\n",
       "3                               Docuseries, Reality TV\n",
       "4    International TV Shows, Romantic TV Shows, TV ...\n",
       "Name: listed_in, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.listed_in.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bc0a5b14",
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Documentaries</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>International TV Shows</td>\n",
       "      <td>TV Dramas</td>\n",
       "      <td>TV Mysteries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Crime TV Shows</td>\n",
       "      <td>International TV Shows</td>\n",
       "      <td>TV Action &amp; Adventure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Docuseries</td>\n",
       "      <td>Reality TV</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>International TV Shows</td>\n",
       "      <td>Romantic TV Shows</td>\n",
       "      <td>TV Comedies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8802</th>\n",
       "      <td>Cult Movies</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>Thrillers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8803</th>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Korean TV Shows</td>\n",
       "      <td>TV Comedies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8804</th>\n",
       "      <td>Comedies</td>\n",
       "      <td>Horror Movies</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>Dramas</td>\n",
       "      <td>International Movies</td>\n",
       "      <td>Music &amp; Musicals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8790 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             0                       1                      2\n",
       "0                Documentaries                    None                   None\n",
       "1       International TV Shows               TV Dramas           TV Mysteries\n",
       "2               Crime TV Shows  International TV Shows  TV Action & Adventure\n",
       "3                   Docuseries              Reality TV                   None\n",
       "4       International TV Shows       Romantic TV Shows            TV Comedies\n",
       "...                        ...                     ...                    ...\n",
       "8802               Cult Movies                  Dramas              Thrillers\n",
       "8803                  Kids' TV         Korean TV Shows            TV Comedies\n",
       "8804                  Comedies           Horror Movies                   None\n",
       "8805  Children & Family Movies                Comedies                   None\n",
       "8806                    Dramas    International Movies       Music & Musicals\n",
       "\n",
       "[8790 rows x 3 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres = df.listed_in.str.split(', ', expand=True)\n",
    "genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0ab12a8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8790, 3)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b0fac7a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "genres = genres.stack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4497a794",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.countplot(y = genres, order=genres.value_counts().index[:10])\n",
    "plt.title('Top 10 genres of Netflix')\n",
    "plt.xlabel('Number of occurrencese')\n",
    "plt.ylabel('Genre')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82f13b09",
   "metadata": {},
   "source": [
    "**TOP 10 actors by appearance**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f669e7e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                              No Cast\n",
       "1    Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...\n",
       "2    Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...\n",
       "3                                              No Cast\n",
       "4    Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...\n",
       "Name: cast, dtype: object"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.cast.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6f1761cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1       Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...\n",
       "2       Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...\n",
       "4       Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...\n",
       "5       Kate Siegel, Zach Gilford, Hamish Linklater, H...\n",
       "6       Vanessa Hudgens, Kimiko Glenn, James Marsden, ...\n",
       "                              ...                        \n",
       "8801    Ali Suliman, Saleh Bakri, Yasa, Ali Al-Jabri, ...\n",
       "8802    Mark Ruffalo, Jake Gyllenhaal, Robert Downey J...\n",
       "8804    Jesse Eisenberg, Woody Harrelson, Emma Stone, ...\n",
       "8805    Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...\n",
       "8806    Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...\n",
       "Name: cast, Length: 7965, dtype: object"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cast = df[df['cast']!='No Cast']\n",
    "df_cast['cast']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "66ab4dea",
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>40</th>\n",
       "      <th>41</th>\n",
       "      <th>42</th>\n",
       "      <th>43</th>\n",
       "      <th>44</th>\n",
       "      <th>45</th>\n",
       "      <th>46</th>\n",
       "      <th>47</th>\n",
       "      <th>48</th>\n",
       "      <th>49</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ama Qamata</td>\n",
       "      <td>Khosi Ngema</td>\n",
       "      <td>Gail Mabalane</td>\n",
       "      <td>Thabang Molaba</td>\n",
       "      <td>Dillon Windvogel</td>\n",
       "      <td>Natasha Thahane</td>\n",
       "      <td>Arno Greeff</td>\n",
       "      <td>Xolile Tshabalala</td>\n",
       "      <td>Getmore Sithole</td>\n",
       "      <td>Cindy Mahlangu</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sami Bouajila</td>\n",
       "      <td>Tracy Gotoas</td>\n",
       "      <td>Samuel Jouy</td>\n",
       "      <td>Nabiha Akkari</td>\n",
       "      <td>Sofia Lesaffre</td>\n",
       "      <td>Salim Kechiouche</td>\n",
       "      <td>Noureddine Farihi</td>\n",
       "      <td>Geert Van Rampelberg</td>\n",
       "      <td>Bakary Diombera</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mayur More</td>\n",
       "      <td>Jitendra Kumar</td>\n",
       "      <td>Ranjan Raj</td>\n",
       "      <td>Alam Khan</td>\n",
       "      <td>Ahsaas Channa</td>\n",
       "      <td>Revathi Pillai</td>\n",
       "      <td>Urvi Singh</td>\n",
       "      <td>Arun Kumar</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kate Siegel</td>\n",
       "      <td>Zach Gilford</td>\n",
       "      <td>Hamish Linklater</td>\n",
       "      <td>Henry Thomas</td>\n",
       "      <td>Kristin Lehman</td>\n",
       "      <td>Samantha Sloyan</td>\n",
       "      <td>Igby Rigney</td>\n",
       "      <td>Rahul Kohli</td>\n",
       "      <td>Annarah Cymone</td>\n",
       "      <td>Annabeth Gish</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Vanessa Hudgens</td>\n",
       "      <td>Kimiko Glenn</td>\n",
       "      <td>James Marsden</td>\n",
       "      <td>Sofia Carson</td>\n",
       "      <td>Liza Koshy</td>\n",
       "      <td>Ken Jeong</td>\n",
       "      <td>Elizabeth Perkins</td>\n",
       "      <td>Jane Krakowski</td>\n",
       "      <td>Michael McKean</td>\n",
       "      <td>Phil LaMarr</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8801</th>\n",
       "      <td>Ali Suliman</td>\n",
       "      <td>Saleh Bakri</td>\n",
       "      <td>Yasa</td>\n",
       "      <td>Ali Al-Jabri</td>\n",
       "      <td>Mansoor Alfeeli</td>\n",
       "      <td>Ahd</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8802</th>\n",
       "      <td>Mark Ruffalo</td>\n",
       "      <td>Jake Gyllenhaal</td>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>Anthony Edwards</td>\n",
       "      <td>Brian Cox</td>\n",
       "      <td>Elias Koteas</td>\n",
       "      <td>Donal Logue</td>\n",
       "      <td>John Carroll Lynch</td>\n",
       "      <td>Dermot Mulroney</td>\n",
       "      <td>Chloë Sevigny</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8804</th>\n",
       "      <td>Jesse Eisenberg</td>\n",
       "      <td>Woody Harrelson</td>\n",
       "      <td>Emma Stone</td>\n",
       "      <td>Abigail Breslin</td>\n",
       "      <td>Amber Heard</td>\n",
       "      <td>Bill Murray</td>\n",
       "      <td>Derek Graf</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8805</th>\n",
       "      <td>Tim Allen</td>\n",
       "      <td>Courteney Cox</td>\n",
       "      <td>Chevy Chase</td>\n",
       "      <td>Kate Mara</td>\n",
       "      <td>Ryan Newman</td>\n",
       "      <td>Michael Cassidy</td>\n",
       "      <td>Spencer Breslin</td>\n",
       "      <td>Rip Torn</td>\n",
       "      <td>Kevin Zegers</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8806</th>\n",
       "      <td>Vicky Kaushal</td>\n",
       "      <td>Sarah-Jane Dias</td>\n",
       "      <td>Raaghav Chanana</td>\n",
       "      <td>Manish Chaudhary</td>\n",
       "      <td>Meghna Malik</td>\n",
       "      <td>Malkeet Rauni</td>\n",
       "      <td>Anita Shabdish</td>\n",
       "      <td>Chittaranjan Tripathy</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7965 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   0                1                  2                 3   \\\n",
       "1          Ama Qamata      Khosi Ngema      Gail Mabalane    Thabang Molaba   \n",
       "2       Sami Bouajila     Tracy Gotoas        Samuel Jouy     Nabiha Akkari   \n",
       "4          Mayur More   Jitendra Kumar         Ranjan Raj         Alam Khan   \n",
       "5         Kate Siegel     Zach Gilford   Hamish Linklater      Henry Thomas   \n",
       "6     Vanessa Hudgens     Kimiko Glenn      James Marsden      Sofia Carson   \n",
       "...               ...              ...                ...               ...   \n",
       "8801      Ali Suliman      Saleh Bakri               Yasa      Ali Al-Jabri   \n",
       "8802     Mark Ruffalo  Jake Gyllenhaal  Robert Downey Jr.   Anthony Edwards   \n",
       "8804  Jesse Eisenberg  Woody Harrelson         Emma Stone   Abigail Breslin   \n",
       "8805        Tim Allen    Courteney Cox        Chevy Chase         Kate Mara   \n",
       "8806    Vicky Kaushal  Sarah-Jane Dias    Raaghav Chanana  Manish Chaudhary   \n",
       "\n",
       "                    4                 5                  6   \\\n",
       "1     Dillon Windvogel   Natasha Thahane        Arno Greeff   \n",
       "2       Sofia Lesaffre  Salim Kechiouche  Noureddine Farihi   \n",
       "4        Ahsaas Channa    Revathi Pillai         Urvi Singh   \n",
       "5       Kristin Lehman   Samantha Sloyan        Igby Rigney   \n",
       "6           Liza Koshy         Ken Jeong  Elizabeth Perkins   \n",
       "...                ...               ...                ...   \n",
       "8801   Mansoor Alfeeli               Ahd               None   \n",
       "8802         Brian Cox      Elias Koteas        Donal Logue   \n",
       "8804       Amber Heard       Bill Murray         Derek Graf   \n",
       "8805       Ryan Newman   Michael Cassidy    Spencer Breslin   \n",
       "8806      Meghna Malik     Malkeet Rauni     Anita Shabdish   \n",
       "\n",
       "                         7                8               9   ...    40    41  \\\n",
       "1         Xolile Tshabalala  Getmore Sithole  Cindy Mahlangu  ...  None  None   \n",
       "2      Geert Van Rampelberg  Bakary Diombera            None  ...  None  None   \n",
       "4                Arun Kumar             None            None  ...  None  None   \n",
       "5               Rahul Kohli   Annarah Cymone   Annabeth Gish  ...  None  None   \n",
       "6            Jane Krakowski   Michael McKean     Phil LaMarr  ...  None  None   \n",
       "...                     ...              ...             ...  ...   ...   ...   \n",
       "8801                   None             None            None  ...  None  None   \n",
       "8802     John Carroll Lynch  Dermot Mulroney   Chloë Sevigny  ...  None  None   \n",
       "8804                   None             None            None  ...  None  None   \n",
       "8805               Rip Torn     Kevin Zegers            None  ...  None  None   \n",
       "8806  Chittaranjan Tripathy             None            None  ...  None  None   \n",
       "\n",
       "        42    43    44    45    46    47    48    49  \n",
       "1     None  None  None  None  None  None  None  None  \n",
       "2     None  None  None  None  None  None  None  None  \n",
       "4     None  None  None  None  None  None  None  None  \n",
       "5     None  None  None  None  None  None  None  None  \n",
       "6     None  None  None  None  None  None  None  None  \n",
       "...    ...   ...   ...   ...   ...   ...   ...   ...  \n",
       "8801  None  None  None  None  None  None  None  None  \n",
       "8802  None  None  None  None  None  None  None  None  \n",
       "8804  None  None  None  None  None  None  None  None  \n",
       "8805  None  None  None  None  None  None  None  None  \n",
       "8806  None  None  None  None  None  None  None  None  \n",
       "\n",
       "[7965 rows x 50 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actors = df_cast['cast'].str.split(', ', expand=True)\n",
    "actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1f860820",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7965, 50)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actors.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "58bd0fe0",
   "metadata": {},
   "outputs": [],
   "source": [
    "actors = actors.stack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a70a229f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.countplot(y = actors, order=actors.value_counts().index[:10])\n",
    "plt.title('Top 10 actors by appearance of Netflix')\n",
    "plt.xlabel('Number of occurrencese')\n",
    "plt.ylabel('Actor')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60bc3d03",
   "metadata": {},
   "source": [
    "**Rating comparation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3fb274ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PG-13', 'TV-MA', 'PG', 'TV-14', 'TV-PG', 'TV-Y', 'TV-Y7', 'R',\n",
       "       'TV-G', 'G', 'NC-17', 'NR', 'TV-Y7-FV', 'UR'], dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# unique values in rating column\n",
    "df.rating.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "51cc6d43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "plt.title(\"Rating comparation\")\n",
    "plot = plt.pie(df.rating.value_counts()[:5],\n",
    "              labels=df.rating.value_counts().index[:5], \n",
    "              autopct=\"%1.2f%%\",\n",
    "              startangle=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6d784ce",
   "metadata": {},
   "source": [
    "**Occurrence count for columns**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "9d784c21",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dataframe\n",
    "# column_name: name of column\n",
    "# limit: number of items to display in order of counter\n",
    "\n",
    "def return_counter(dataframe, column_name, limit):\n",
    "    counter = Counter(dataframe[column_name].values)\n",
    "    most_common = counter.most_common(limit)\n",
    "    print(dict(most_common))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "39fdac00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'United States': 2809, 'India': 972, 'No Country': 829}\n"
     ]
    }
   ],
   "source": [
    "return_counter(dataframe=df, column_name=\"country\", limit=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "d4025b85",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{2018: 1146, 2017: 1030, 2019: 1030}\n"
     ]
    }
   ],
   "source": [
    "return_counter(dataframe=df, column_name=\"release_year\", limit=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "0c71b319",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'No Director': 2621, 'Rajiv Chilaka': 19, 'Raúl Campos, Jan Suter': 18}\n"
     ]
    }
   ],
   "source": [
    "return_counter(dataframe=df, column_name=\"director\", limit=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1772029",
   "metadata": {},
   "source": [
    "**Movies directed by David Fincher**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "993178f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "600                            The Game\n",
      "1595                               MANK\n",
      "7701                         Panic Room\n",
      "8320    The Girl with the Dragon Tattoo\n",
      "8511                 The Social Network\n",
      "8802                             Zodiac\n",
      "Name: title, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(df[df['director'] == \"David Fincher\"]['title'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90c11b60",
   "metadata": {},
   "source": [
    "**Duration statistics**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "4e291e8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "show_id                                                        s1\n",
       "type                                                        Movie\n",
       "title                                        Dick Johnson Is Dead\n",
       "director                                          Kirsten Johnson\n",
       "cast                                                      No Cast\n",
       "country                                             United States\n",
       "date_added                                     September 25, 2021\n",
       "release_year                                                 2020\n",
       "rating                                                      PG-13\n",
       "duration                                                   90 min\n",
       "listed_in                                           Documentaries\n",
       "description     As her father nears the end of his life, filmm...\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movie = df[df['type'] == 'Movie']\n",
    "df_movie.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "9e4d930a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        90\n",
       "6        91\n",
       "7       125\n",
       "9       104\n",
       "12      127\n",
       "       ... \n",
       "8801     96\n",
       "8802    158\n",
       "8804     88\n",
       "8805     88\n",
       "8806    111\n",
       "Name: duration, Length: 6126, dtype: int32"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# str value to number \n",
    "df_duration = df_movie['duration'].map(lambda x: x.rstrip('min')).astype(int)\n",
    "df_duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "7d59094e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "min: 3\n",
      "max: 312\n",
      "mean: 99.58488410055502\n",
      "median: 98.0\n",
      "std: 28.283224595386848\n"
     ]
    }
   ],
   "source": [
    "print(f'min: {df_duration.min()}')\n",
    "print(f'max: {df_duration.max()}')\n",
    "print(f'mean: {df_duration.mean()}')\n",
    "print(f'median: {df_duration.median()}')\n",
    "print(f'std: {df_duration.std()}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e3867e5",
   "metadata": {},
   "source": [
    "*Histogram*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "28f33c5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_duration.hist(bins=500)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}