Netflix Data Analytics-Main.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Netflix Dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Big-Data Analysis with Python"
   ]
  },
  {
   "attachments": {
    "1.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![1.png](attachment:1.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This Netflix Dataset has information about the TV Shows and Movies available on Netflix till 2021.\n",
    "\n",
    "This dataset is collected from Flixable which is a third-party Netflix search engine, and available on Kaggle website for free."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the dataset\n",
    "import pandas as pd\n",
    "data = pd.read_csv(r\"D:\\darsh\\Netflix Data Analysis\\Netflix Dataset.csv\")                     # to import pandas library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Movie</td>\n",
       "      <td>9</td>\n",
       "      <td>Shane Acker</td>\n",
       "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 16, 2017</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
       "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7784</th>\n",
       "      <td>s7783</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zozo</td>\n",
       "      <td>Josef Fares</td>\n",
       "      <td>Imad Creidi, Antoinette Turk, Elias Gergi, Car...</td>\n",
       "      <td>Sweden, Czech Republic, United Kingdom, Denmar...</td>\n",
       "      <td>October 19, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>When Lebanon's Civil War deprives Zozo of his ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7785</th>\n",
       "      <td>s7784</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Dramas, International Movies, Music &amp; Musicals</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7786</th>\n",
       "      <td>s7785</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zulu Man in Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nasty C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 25, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>44 min</td>\n",
       "      <td>Documentaries, International Movies, Music &amp; M...</td>\n",
       "      <td>In this documentary, South African rapper Nast...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7787</th>\n",
       "      <td>s7786</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zumbo's Just Desserts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adriano Zumbo, Rachel Khoo</td>\n",
       "      <td>Australia</td>\n",
       "      <td>October 31, 2020</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Reality TV</td>\n",
       "      <td>Dessert wizard Adriano Zumbo looks for the nex...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7788</th>\n",
       "      <td>s7787</td>\n",
       "      <td>Movie</td>\n",
       "      <td>ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS</td>\n",
       "      <td>Sam Dunn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom, Canada, United States</td>\n",
       "      <td>March 1, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries, Music &amp; Musicals</td>\n",
       "      <td>This documentary delves into the mystique behi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7789 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                                    Title   \n",
       "0         s1  TV Show                                       3%  \\\n",
       "1         s2    Movie                                    07:19   \n",
       "2         s3    Movie                                    23:59   \n",
       "3         s4    Movie                                        9   \n",
       "4         s5    Movie                                       21   \n",
       "...      ...      ...                                      ...   \n",
       "7784   s7783    Movie                                     Zozo   \n",
       "7785   s7784    Movie                                   Zubaan   \n",
       "7786   s7785    Movie                        Zulu Man in Japan   \n",
       "7787   s7786  TV Show                    Zumbo's Just Desserts   \n",
       "7788   s7787    Movie  ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS   \n",
       "\n",
       "               Director                                               Cast   \n",
       "0                   NaN  João Miguel, Bianca Comparato, Michel Gomes, R...  \\\n",
       "1     Jorge Michel Grau  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...   \n",
       "2          Gilbert Chan  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...   \n",
       "3           Shane Acker  Elijah Wood, John C. Reilly, Jennifer Connelly...   \n",
       "4        Robert Luketic  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...   \n",
       "...                 ...                                                ...   \n",
       "7784        Josef Fares  Imad Creidi, Antoinette Turk, Elias Gergi, Car...   \n",
       "7785        Mozez Singh  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...   \n",
       "7786                NaN                                            Nasty C   \n",
       "7787                NaN                         Adriano Zumbo, Rachel Khoo   \n",
       "7788           Sam Dunn                                                NaN   \n",
       "\n",
       "                                                Country        Release_Date   \n",
       "0                                                Brazil     August 14, 2020  \\\n",
       "1                                                Mexico   December 23, 2016   \n",
       "2                                             Singapore   December 20, 2018   \n",
       "3                                         United States   November 16, 2017   \n",
       "4                                         United States     January 1, 2020   \n",
       "...                                                 ...                 ...   \n",
       "7784  Sweden, Czech Republic, United Kingdom, Denmar...    October 19, 2020   \n",
       "7785                                              India       March 2, 2019   \n",
       "7786                                                NaN  September 25, 2020   \n",
       "7787                                          Australia    October 31, 2020   \n",
       "7788              United Kingdom, Canada, United States       March 1, 2020   \n",
       "\n",
       "     Rating   Duration                                               Type   \n",
       "0     TV-MA  4 Seasons  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1     TV-MA     93 min                       Dramas, International Movies   \n",
       "2         R     78 min                Horror Movies, International Movies   \n",
       "3     PG-13     80 min  Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4     PG-13    123 min                                             Dramas   \n",
       "...     ...        ...                                                ...   \n",
       "7784  TV-MA     99 min                       Dramas, International Movies   \n",
       "7785  TV-14    111 min     Dramas, International Movies, Music & Musicals   \n",
       "7786  TV-MA     44 min  Documentaries, International Movies, Music & M...   \n",
       "7787  TV-PG   1 Season                 International TV Shows, Reality TV   \n",
       "7788  TV-MA     90 min                    Documentaries, Music & Musicals   \n",
       "\n",
       "                                            Description  \n",
       "0     In a future where the elite inhabit an island ...  \n",
       "1     After a devastating earthquake hits Mexico Cit...  \n",
       "2     When an army recruit is found dead, his fellow...  \n",
       "3     In a postapocalyptic world, rag-doll robots hi...  \n",
       "4     A brilliant group of students become card-coun...  \n",
       "...                                                 ...  \n",
       "7784  When Lebanon's Civil War deprives Zozo of his ...  \n",
       "7785  A scrappy but poor boy worms his way into a ty...  \n",
       "7786  In this documentary, South African rapper Nast...  \n",
       "7787  Dessert wizard Adriano Zumbo looks for the nex...  \n",
       "7788  This documentary delves into the mystique behi...  \n",
       "\n",
       "[7789 rows x 11 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Getting some basic information about the dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Movie</td>\n",
       "      <td>9</td>\n",
       "      <td>Shane Acker</td>\n",
       "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 16, 2017</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
       "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "2      s3    Movie  23:59       Gilbert Chan   \n",
       "3      s4    Movie      9        Shane Acker   \n",
       "4      s5    Movie     21     Robert Luketic   \n",
       "\n",
       "                                                Cast        Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...         Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...         Mexico   \n",
       "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...      Singapore   \n",
       "3  Elijah Wood, John C. Reilly, Jennifer Connelly...  United States   \n",
       "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "2  December 20, 2018      R     78 min   \n",
       "3  November 16, 2017  PG-13     80 min   \n",
       "4    January 1, 2020  PG-13    123 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "2                Horror Movies, International Movies   \n",
       "3  Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4                                             Dramas   \n",
       "\n",
       "                                         Description  \n",
       "0  In a future where the elite inhabit an island ...  \n",
       "1  After a devastating earthquake hits Mexico Cit...  \n",
       "2  When an army recruit is found dead, his fellow...  \n",
       "3  In a postapocalyptic world, rag-doll robots hi...  \n",
       "4  A brilliant group of students become card-coun...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()                                     # to show top-5 records of the dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7784</th>\n",
       "      <td>s7783</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zozo</td>\n",
       "      <td>Josef Fares</td>\n",
       "      <td>Imad Creidi, Antoinette Turk, Elias Gergi, Car...</td>\n",
       "      <td>Sweden, Czech Republic, United Kingdom, Denmar...</td>\n",
       "      <td>October 19, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>When Lebanon's Civil War deprives Zozo of his ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7785</th>\n",
       "      <td>s7784</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zubaan</td>\n",
       "      <td>Mozez Singh</td>\n",
       "      <td>Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...</td>\n",
       "      <td>India</td>\n",
       "      <td>March 2, 2019</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>111 min</td>\n",
       "      <td>Dramas, International Movies, Music &amp; Musicals</td>\n",
       "      <td>A scrappy but poor boy worms his way into a ty...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7786</th>\n",
       "      <td>s7785</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zulu Man in Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nasty C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 25, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>44 min</td>\n",
       "      <td>Documentaries, International Movies, Music &amp; M...</td>\n",
       "      <td>In this documentary, South African rapper Nast...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7787</th>\n",
       "      <td>s7786</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zumbo's Just Desserts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adriano Zumbo, Rachel Khoo</td>\n",
       "      <td>Australia</td>\n",
       "      <td>October 31, 2020</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, Reality TV</td>\n",
       "      <td>Dessert wizard Adriano Zumbo looks for the nex...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7788</th>\n",
       "      <td>s7787</td>\n",
       "      <td>Movie</td>\n",
       "      <td>ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS</td>\n",
       "      <td>Sam Dunn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom, Canada, United States</td>\n",
       "      <td>March 1, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries, Music &amp; Musicals</td>\n",
       "      <td>This documentary delves into the mystique behi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                                    Title     Director   \n",
       "7784   s7783    Movie                                     Zozo  Josef Fares  \\\n",
       "7785   s7784    Movie                                   Zubaan  Mozez Singh   \n",
       "7786   s7785    Movie                        Zulu Man in Japan          NaN   \n",
       "7787   s7786  TV Show                    Zumbo's Just Desserts          NaN   \n",
       "7788   s7787    Movie  ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS     Sam Dunn   \n",
       "\n",
       "                                                   Cast   \n",
       "7784  Imad Creidi, Antoinette Turk, Elias Gergi, Car...  \\\n",
       "7785  Vicky Kaushal, Sarah-Jane Dias, Raaghav Chanan...   \n",
       "7786                                            Nasty C   \n",
       "7787                         Adriano Zumbo, Rachel Khoo   \n",
       "7788                                                NaN   \n",
       "\n",
       "                                                Country        Release_Date   \n",
       "7784  Sweden, Czech Republic, United Kingdom, Denmar...    October 19, 2020  \\\n",
       "7785                                              India       March 2, 2019   \n",
       "7786                                                NaN  September 25, 2020   \n",
       "7787                                          Australia    October 31, 2020   \n",
       "7788              United Kingdom, Canada, United States       March 1, 2020   \n",
       "\n",
       "     Rating  Duration                                               Type   \n",
       "7784  TV-MA    99 min                       Dramas, International Movies  \\\n",
       "7785  TV-14   111 min     Dramas, International Movies, Music & Musicals   \n",
       "7786  TV-MA    44 min  Documentaries, International Movies, Music & M...   \n",
       "7787  TV-PG  1 Season                 International TV Shows, Reality TV   \n",
       "7788  TV-MA    90 min                    Documentaries, Music & Musicals   \n",
       "\n",
       "                                            Description  \n",
       "7784  When Lebanon's Civil War deprives Zozo of his ...  \n",
       "7785  A scrappy but poor boy worms his way into a ty...  \n",
       "7786  In this documentary, South African rapper Nast...  \n",
       "7787  Dessert wizard Adriano Zumbo looks for the nex...  \n",
       "7788  This documentary delves into the mystique behi...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()                                      # to show bottom-5 records of dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7789, 11)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape                                      # to show the No. of Rows and Columns"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "85679"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.size                                      # to show No. of total values(elements) in the dataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Show_Id', 'Category', 'Title', 'Director', 'Cast', 'Country',\n",
       "       'Release_Date', 'Rating', 'Duration', 'Type', 'Description'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns                                   # to show each Column Name"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Show_Id         object\n",
       "Category        object\n",
       "Title           object\n",
       "Director        object\n",
       "Cast            object\n",
       "Country         object\n",
       "Release_Date    object\n",
       "Rating          object\n",
       "Duration        object\n",
       "Type            object\n",
       "Description     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes                                    # to show the data-type of each column"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7789 entries, 0 to 7788\n",
      "Data columns (total 11 columns):\n",
      " #   Column        Non-Null Count  Dtype \n",
      "---  ------        --------------  ----- \n",
      " 0   Show_Id       7789 non-null   object\n",
      " 1   Category      7789 non-null   object\n",
      " 2   Title         7789 non-null   object\n",
      " 3   Director      5401 non-null   object\n",
      " 4   Cast          7071 non-null   object\n",
      " 5   Country       7282 non-null   object\n",
      " 6   Release_Date  7779 non-null   object\n",
      " 7   Rating        7782 non-null   object\n",
      " 8   Duration      7789 non-null   object\n",
      " 9   Type          7789 non-null   object\n",
      " 10  Description   7789 non-null   object\n",
      "dtypes: object(11)\n",
      "memory usage: 669.5+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()                                   # To show indexes, columns, data-types of each column, memory at once"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task.1. Is there any Duplicate Record in this dataset ? If yes, then remove the duplicate records."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### duplicate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
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       "      <th>Release_Date</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Movie</td>\n",
       "      <td>9</td>\n",
       "      <td>Shane Acker</td>\n",
       "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 16, 2017</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
       "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "2      s3    Movie  23:59       Gilbert Chan   \n",
       "3      s4    Movie      9        Shane Acker   \n",
       "4      s5    Movie     21     Robert Luketic   \n",
       "\n",
       "                                                Cast        Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...         Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...         Mexico   \n",
       "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...      Singapore   \n",
       "3  Elijah Wood, John C. Reilly, Jennifer Connelly...  United States   \n",
       "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "2  December 20, 2018      R     78 min   \n",
       "3  November 16, 2017  PG-13     80 min   \n",
       "4    January 1, 2020  PG-13    123 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "2                Horror Movies, International Movies   \n",
       "3  Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4                                             Dramas   \n",
       "\n",
       "                                         Description  \n",
       "0  In a future where the elite inhabit an island ...  \n",
       "1  After a devastating earthquake hits Mexico Cit...  \n",
       "2  When an army recruit is found dead, his fellow...  \n",
       "3  In a postapocalyptic world, rag-doll robots hi...  \n",
       "4  A brilliant group of students become card-coun...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7789, 11)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "      <td>April 5, 2019</td>\n",
       "      <td>TV-MA</td>\n",
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       "      <td>Seun Ajayi, Judith Audu, Tope Tedela, Ifu Enna...</td>\n",
       "      <td>Nigeria</td>\n",
       "      <td>September 4, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Comedies, Dramas, Independent Movies</td>\n",
       "      <td>A disillusioned security guard transforms into...</td>\n",
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       "     Show_Id Category              Title        Director   \n",
       "6300    s684    Movie           Backfire     Dave Patten  \\\n",
       "6622   s6621    Movie  The Lost Okoroshi  Abba T. Makama   \n",
       "\n",
       "                                                   Cast        Country   \n",
       "6300  Black Deniro, Byron \"Squally\" Vinson, Dominic ...  United States  \\\n",
       "6622  Seun Ajayi, Judith Audu, Tope Tedela, Ifu Enna...        Nigeria   \n",
       "\n",
       "           Release_Date Rating Duration   \n",
       "6300      April 5, 2019  TV-MA   97 min  \\\n",
       "6622  September 4, 2020  TV-MA   94 min   \n",
       "\n",
       "                                       Type   \n",
       "6300  Dramas, Independent Movies, Thrillers  \\\n",
       "6622   Comedies, Dramas, Independent Movies   \n",
       "\n",
       "                                            Description  \n",
       "6300  When two would-be robbers accidentally kill a ...  \n",
       "6622  A disillusioned security guard transforms into...  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.duplicated()]                                         # To check row wise and detect the Duplicate rows  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop_duplicates(inplace = True)                                # To Remove the Duplicate rows permanently"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "data[data.duplicated()]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7787, 11)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task.2. Is there any Null Value present in any column ? Show with Heat-map."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>3</th>\n",
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       "      <td>Shane Acker</td>\n",
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       "      <th>4</th>\n",
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       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
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       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
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      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "2      s3    Movie  23:59       Gilbert Chan   \n",
       "3      s4    Movie      9        Shane Acker   \n",
       "4      s5    Movie     21     Robert Luketic   \n",
       "\n",
       "                                                Cast        Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...         Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...         Mexico   \n",
       "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...      Singapore   \n",
       "3  Elijah Wood, John C. Reilly, Jennifer Connelly...  United States   \n",
       "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "2  December 20, 2018      R     78 min   \n",
       "3  November 16, 2017  PG-13     80 min   \n",
       "4    January 1, 2020  PG-13    123 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "2                Horror Movies, International Movies   \n",
       "3  Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4                                             Dramas   \n",
       "\n",
       "                                         Description  \n",
       "0  In a future where the elite inhabit an island ...  \n",
       "1  After a devastating earthquake hits Mexico Cit...  \n",
       "2  When an army recruit is found dead, his fellow...  \n",
       "3  In a postapocalyptic world, rag-doll robots hi...  \n",
       "4  A brilliant group of students become card-coun...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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",
       "      <th>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7784</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7785</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7786</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7787</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7788</th>\n",
       "      <td>False</td>\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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7787 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Show_Id  Category  Title  Director   Cast  Country  Release_Date   \n",
       "0       False     False  False      True  False    False         False  \\\n",
       "1       False     False  False     False  False    False         False   \n",
       "2       False     False  False     False  False    False         False   \n",
       "3       False     False  False     False  False    False         False   \n",
       "4       False     False  False     False  False    False         False   \n",
       "...       ...       ...    ...       ...    ...      ...           ...   \n",
       "7784    False     False  False     False  False    False         False   \n",
       "7785    False     False  False     False  False    False         False   \n",
       "7786    False     False  False      True  False     True         False   \n",
       "7787    False     False  False      True  False    False         False   \n",
       "7788    False     False  False     False   True    False         False   \n",
       "\n",
       "      Rating  Duration   Type  Description  \n",
       "0      False     False  False        False  \n",
       "1      False     False  False        False  \n",
       "2      False     False  False        False  \n",
       "3      False     False  False        False  \n",
       "4      False     False  False        False  \n",
       "...      ...       ...    ...          ...  \n",
       "7784   False     False  False        False  \n",
       "7785   False     False  False        False  \n",
       "7786   False     False  False        False  \n",
       "7787   False     False  False        False  \n",
       "7788   False     False  False        False  \n",
       "\n",
       "[7787 rows x 11 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull()                                               # To show where Null value is present"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Show_Id            0\n",
       "Category           0\n",
       "Title              0\n",
       "Director        2388\n",
       "Cast             718\n",
       "Country          507\n",
       "Release_Date      10\n",
       "Rating             7\n",
       "Duration           0\n",
       "Type               0\n",
       "Description        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()                                               # To show the count of Null values in each column"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### seaborn library (heat-map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns                                               # To import Seaborn library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xsLKyKlRS6sqVKzFx4kTExcVBT08PADB+/Hjs3r0b165dK3R9XEVSsnCSJxGpkyyrSPYvkuQ+5T/3keQ+xan4wkH+X1JSEhQKBUxNTQEULik1PDwcHTt2FBsXAODk5ITr16/j+fPnxV0yERFR8ShDQyTFOskzLS0Nvr6+6N+/P4yNjQEULik1Li4O1tbWStfkpq/GxcWhYsWKed6LaaolH3sMiKjUK0PLVIutByMzMxPffPMNBEHAypUri+ttRExTJSIi0hzF0sDIbVzExMTg6NGjYu8FULik1GrVqqlMW809pwrTVImISONxiOT95TYubt68iRMnTqBy5cpK5wuTlGpvb4+JEyciMzNTzC85evQoGjRooHJ4BGCaamnASZ5EVOpxiCR/KSkpiIyMRGRkJADg7t27iIyMRGxsLDIzM/HVV1/h/Pnz2LRpE7KyshAXF4e4uDhkZGQAAGxsbNCtWzcMHz4cZ8+exV9//QUvLy/069cPFhYWAIABAwZAT08P7u7uuHz5MrZu3YqAgAD4+Gj+rFkiIiJ6j2WqoaGh6Ny5c57jbm5umDZtWp7JmblOnDiBTp06AcjZaMvLywv79u1TSko1MjISr7906RI8PT1x7tw5VKlSBaNGjYKvr29RSuUy1RKGPRhEpE6yLFPdMUuS+5T/apIk9ylOTFMljcEGRsE07ecDaN7PiOhDyNLA2DZDkvuU/2aKJPcpTswiIY3Bh1XB+PMhopKEDQyiEoI9GESlQOkdNMiDDQzSGJr4ACUiklQJWWIqhSI3ME6ePIkFCxYgIiICjx8/zpNFMnjwYKxfv17pe5ycnBAcHCx+nZCQgFGjRilN8gwICMh3kqeZmRlGjRqFcePGvcdHpJKCvw0TEZUekqap5urWrRseP34svn7//Xel80xTJSKiMokbbeXP2dkZzs7OBV6jr6+f746bV69eRXBwsFKa6rJly9C9e3f8/PPPsLCwwKZNm5CRkYG1a9dCT08PjRo1QmRkJBYtWqTUEKHSRdOGSNijQkSSK0MbbRXLHIzQ0FCYm5ujYsWK+OyzzzBr1ixxR893pal+8cUX+aapzps3D8+fP893N08q2fhAJ6JSr4T0PkhB8iySbt26YcOGDQgJCcG8efMQFhYGZ2dnZGVlASh8mmpuemquN9NUVUlPT0dycrLSqxRv8UFERFQkK1asQO3atVGuXDm0adMGZ8+eLfD6JUuWoEGDBihfvjwsLS3h7e2NtLS0Qr+f5D0Y/fr1E/+5cePGaNKkCT766COEhoaiS5cuUr+dyN/fH9OnT1c6ptAygkLbOJ/vICIikpmafvHdunUrfHx8EBgYiDZt2mDJkiVwcnLC9evX8/zSDwCbN2/G+PHjsXbtWrRr1w43btzA4MGDoVAosGjRokK9Z7EvU61Tpw6qVKmCW7duoUuXLsWapvp2VknFyg2l+hgkA87BIKJST01DJIsWLcLw4cMxZMgQAEBgYCAOHDiAtWvXYvz48XmuP336NNq3b48BAwYAAGrXro3+/fvjzJkzhX7PYm9gPHjwAP/++y+qV68OgGmqlD9Ne6CzwUNEmio9PR3p6elKx1Q9BwEgIyMDERER8PPzE49paWnBwcEB4eHhKu/frl07bNy4EWfPnkXr1q1x584dHDx4EAMHDix0jUVuYKSkpODWrVvi17lpqpUqVUKlSpUwffp09OnTB9WqVcPt27cxbtw41K1bF05OTgCU01QDAwORmZmpMk11+vTpcHd3h6+vL6KjoxEQEIDFixcXtVwqQfhAL5im/XwAzfsZEWk8iXowVE0LmDp1KqZNm5bn2mfPniErK0vl3MZr166pvP+AAQPw7NkzdOjQAYIg4PXr1xg5ciQmTJhQ6BqLPMnz/PnzaN68OZo3bw4A8PHxQfPmzTFlyhRoa2vj0qVL6NmzJ+rXrw93d3fY2dnhzz//VGpVbdq0CQ0bNkSXLl3QvXt3dOjQQWmPCxMTExw5cgR3796FnZ0dfvzxR0yZMoVLVImIqGQTsiV5+fn5ISkpSen1Zg/FhwoNDcWcOXPwyy+/4MKFC9i5cycOHDiAmTNnFvoeTFMljaFpv6Hzt3OiskWWNNX/+bz7okIoP6xwEy2BnCESAwMD7NixQ2nnbTc3NyQmJmLPnj15vueTTz5B27ZtsWDBAvHYxo0bMWLECKSkpEBL6939E8wiIY3BBzoRlXZCtvy/0+vp6cHOzg4hISFiAyM7OxshISHw8vJS+T0vX77M04jQ1tYGgEJvAcEGBhERkVzUtIrEx8cHbm5uaNmyJVq3bo0lS5YgNTVVXFUyaNAg1KhRA/7+/gCAHj16YNGiRWjevDnatGmDW7duYfLkyejRo4fY0HgXNjCIiIhKub59++Lp06eYMmUK4uLi0KxZMwQHB4sTP2NjY5V6LCZNmgSFQoFJkybh4cOHMDMzQ48ePTB79uxCv2eRJ3mePHkSPXr0gIWFBRQKBXbv3q10PiUlBV5eXqhZsybKly8PW1tbBAYGKl2TlpYGT09PVK5cGUZGRujTp0+efS9iY2Ph4uICAwMDmJubY+zYsXj9+nVRyyUiItIcEk3yfB9eXl6IiYlBeno6zpw5I24NAeRM6gwKChK/1tHRwdSpU3Hr1i28evUKsbGxWLFiBUxNTQv9fpKnqfr4+CA4OBgbN27E1atXMWbMGHh5eWHv3r3iNd7e3ti3bx+2b9+OsLAwPHr0CF9++aV4PisrCy4uLsjIyMDp06exfv16BAUFYcqUKUUtl4iISHNkC9K8SoAPWkWiUCiwa9cupVmpH3/8Mfr27YvJkyeLx+zs7ODs7IxZs2YhKSkJZmZm2Lx5M7766isAwLVr12BjY4Pw8HC0bdsWhw4dwueff45Hjx6J3TeBgYHw9fXF06dPlULQCsJVJEREVFhyrCJ5uex7Se5jMOoXSe5TnCSfg9GuXTvs3bsXQ4cOhYWFBUJDQ3Hjxg1xk6yIiAhkZmbCwcFB/J6GDRvCyspKbGCEh4ejcePGSpuCODk5wcPDA5cvXxb34CAqSzRtGS/AlT9ElD/JGxjLli3DiBEjULNmTejo6EBLSwurV69Gx44dAeSkoerp6eUZx6lateoHpalSyaeJD1BNwoc5USlQhuLai6WB8ffff2Pv3r2oVasWTp48CU9PT1hYWCj1WkhN1b7sgiAwj4TeGx/oRCS50ru3ZR6SNjBevXqFCRMmYNeuXXBxcQEANGnSBJGRkfj555/h4OCAatWqISMjA4mJiUq9GPHx8Uppqm/n1L8rTZVx7SUfH+hERKWHpA2MzMxMZGZmqtz9K/v/u4Xs7Oygq6uLkJAQ9OnTBwBw/fp1xMbGwt7eHkBOmurs2bPx5MkTMaf+6NGjMDY2hq2trcr3Zlx7yadpQyRs8BCR5DhEkr+C0lStrKzw6aefYuzYsShfvjxq1aqFsLAwbNiwAYsW5eybbmJiAnd3d/j4+KBSpUowNjbGqFGjYG9vj7Zt2wIAHB0dYWtri4EDB2L+/PmIi4vDpEmT4OnpqTKKFmBce2nABzoRlXolZImpFIq8TDU0NBSdO3fOc9zNzQ1BQUGIi4uDn58fjhw5goSEBNSqVQsjRoyAt7e3+MBPS0vDjz/+iN9//x3p6elwcnLCL7/8ojT8ERMTAw8PD4SGhsLQ0BBubm6YO3cudHQK3ybiMtWSRdN6MDQNG2BExUuWZao/D5PkPgY//U+S+xQnpqkS5UPTGjxsYBAVL1kaGAuGSnIfg7FrJblPcWIWCWkMPtCJqNQrQ0MkbGCQxuADnYio9GADg4iISCYCV5EQERGR5MrQEEmR0lT9/f3RqlUrVKhQAebm5ujduzeuX7+udM2qVavQqVMnGBsbQ6FQIDExMc99EhIS4OrqCmNjY5iamsLd3R0pKSlK11y6dAmffPIJypUrB0tLS8yfP7/on46IiEiTqDGuXW5FamCEhYXB09MTf//9N44ePYrMzEw4OjoiNTVVvObly5fo1q0bJkyYkO99XF1dcfnyZRw9ehT79+/HyZMnMWLECPF8cnIyHB0dUatWLURERGDBggWYNm0aVq1a9R4fkYiIiOT2QctUnz59CnNzc4SFhYlhZrly98t4/vy50pbgV69eha2tLc6dO4eWLVsCAIKDg9G9e3c8ePAAFhYWWLlyJSZOnCgGowHA+PHjsXv3bly7dq3Q9XGZasnCVSREpE5yLFNNneEqyX0Mp2yS5D7F6YPmYCQlJQEAKlWqVOjvCQ8Ph6mpqdi4AAAHBwdoaWnhzJkz+OKLLxAeHo6OHTuKjQsgJ6593rx5eP78OSpWrPghZZOG4gOdiEo9TvJ8t+zsbIwZMwbt27fHxx9/XOjvi4uLE/NFxCJ0dFCpUiWluHZra2ula96Ma1fVwGCaasnHHgwiotLjvRsYnp6eiI6OxqlTp6Ss570xTbXk4wOdiEq9MrSK5L0aGF5eXuLkzJo1axbpe6tVq4YnT54oHXv9+jUSEhKU4tpz49lzvSuunWmqJR97MIio1CshK0CkUKQGhiAIGDVqFHbt2oXQ0NA8wxiFYW9vj8TERERERMDOzg4AcPz4cWRnZ6NNmzbiNRMnTkRmZiZ0dXUB5MS1N2jQIN/5F0xTLfn4QC+YpjXAAP47I6L8FamB4enpic2bN2PPnj2oUKGCOGfCxMQE5cuXB5AzRyIuLk6MdI+KikKFChVgZWWFSpUqwcbGBt26dcPw4cMRGBiIzMxMeHl5oV+/frCwsAAADBgwANOnT4e7uzt8fX0RHR2NgIAALF68WMrPThpG0x6gmvbw1LR6iOg9lKEhkiItU82vR2DdunUYPHgwAGDatGl55kK8fU1CQgK8vLywb98+aGlpoU+fPli6dCmMjIzE6y9dugRPT0+cO3cOVapUwahRo+Dr61uEj8ZlqkREVHhyLFNN8esjyX2M/P+Q5D7FiXHtpDHYg0FE6sQGhrSYRUIaQ9Me6GzwEJHkytAQCRsYpDH4QCeiUo8NDCIiIpIcl6mq5u/vj507d+LatWsoX7482rVrh3nz5qFBgwZ5rhUEAd27d0dwcDB27dqF3r17i+diY2Ph4eGBEydOwMjICG5ubvD394eOzn/lhIaGwsfHB5cvX4alpSUmTZokThKl0ok9BkREpYfkaaq5lixZonLVSVZWFlxcXJCRkYHTp09j/fr1CAoKwpQpU8Rr7t69CxcXF3Tu3BmRkZEYM2YMhg0bhsOHD7/HRyQiItIQ2YI0rxKgWNJUIyMj8fnnn+P8+fOoXr26Ug/GoUOH8Pnnn+PRo0divkhgYCB8fX3x9OlT6OnpwdfXFwcOHEB0dLR4z379+iExMRHBwcGFro+rSIiIqLDkWEXyYkwPSe5TYck+Se5TnIrUg/E2VWmqL1++xIABA7BixQqV23qHh4ejcePGYuMCyElKTU5OxuXLl8VrHBwclL7PyckJ4eHhH1IuERERyUTyNFVvb2+0a9cOvXr1Uvl9cXFxSo0LQDkptaBrkpOT8erVK3HX0DcxTbXk4yoSIir1SsjwhhQkTVPdu3cvjh8/jn/++UeS4oqCaaolHx/oRFTqZXMVSYHyS1M9fvw4bt++DVNTU6Xr+/Tpg08++QShoaGoVq0azp49q3T+7aTU/NJUjY2NVfZeAExTLQ3Yg0FEVHpImqY6fvx4DBs2TOlY48aNsXjxYvTokTOxxd7eHrNnz8aTJ09gbm4OICcp1djYGLa2tuI1Bw8eVLrP0aNHYW9vn29tTFMt+fhAJ6JSj0Mkqr0rTbVatWoqJ3ZaWVmJjRFHR0fY2tpi4MCBmD9/PuLi4jBp0iR4enqKDYSRI0di+fLlGDduHIYOHYrjx49j27ZtOHDgwId+XiIiIvVhA0O1lStXAgA6deqkdPzNpNR30dbWxv79++Hh4QF7e3sYGhrCzc0NM2bMEK+xtrbGgQMH4O3tjYCAANSsWRP/+9//4OTkVJRyqYThEAkRUenBNFXSGGxgEJE6ybEPRvJ30vyibPyr5m88ySwSIiIiuXCIhEh+7DEgolKvDDUwPmgnTyIiIiJVitTA8Pf3R6tWrVChQgWYm5ujd+/euH79unj+3r17UCgUKl/bt28Xr4uNjYWLiwsMDAxgbm6OsWPH4vXr10rvFRoaihYtWkBfXx9169ZFUFDQh31SIiIiNROyBUleJYGkaaqWlpZ4/Pix0mv69OkwMjKCs7MzAKapEhFRGcY01cLJL031Tc2bN0eLFi2wZs0aAExTpfxxFQkRqZMcq0iS3LpIch+T9SGS3Kc4fdAkT1Vpqm+KiIhAZGQkVqxYIR7LL03Vw8MDly9fRvPmzfNNUx0zZsyHlEsajg90Iir1yk4UifRpqm9as2YNbGxs0K5dO/EY01QpP+zBIKLSrqTMn5CCpGmqb3r16hU2b96MyZMnv3dxRcE01ZKPD3QiotLjvZap5qapnjhxQilN9U07duzAy5cvMWjQIKXj+SWl5p4r6Jp3pakmJSUpvRRaFd7n4xERERWPMjTJU9I01TetWbMGPXv2hJmZmdJxpqlSfjhEQkSlHudgqPauNNVct27dwsmTJ/M0EgCmqVL++EAnIio9irRMNb8egbfTVCdMmICNGzfi3r170NLKOwoTExMDDw8PhIaGimmqc+fOhY7Of+2d0NBQeHt748qVK6hZsyYmT55c6MTWXFymSkREhSXHMtXnX3eS5D4Vt4dKcp/ixDRV0hgcIiEidZKlgdGnkyT3qfhHqCT3KU4MOyONwQc6EZV2ZWmZKsPOiIiISHLswSCNwSESIir1uIpEtZUrV2LlypW4d+8eAKBRo0aYMmWKGGSWlpaGH3/8EVu2bEF6ejqcnJzwyy+/KO3KGRsbCw8PD5w4cQJGRkZwc3ODv79/ngmePj4+uHz5MiwtLTFp0qQiT/CkkocPdCIq7QQ2MFSrWbMm5s6di3r16kEQBKxfvx69evXCP//8g0aNGsHb2xsHDhzA9u3bYWJiAi8vL3z55Zf466+/APyXpFqtWjWcPn0ajx8/xqBBg6Crq4s5c+YA+C9JdeTIkdi0aRNCQkIwbNgwVK9eHU5OTtL/BEhjsAejYJr28wE072dERJrjg1eRVKpUCQsWLMBXX30FMzMzbN68GV999RUA4Nq1a7CxsUF4eDjatm0ra5IqwFUkRERUeHKsIvnX5VNJ7lP5QJgk9ylO7z3JMysrC1u2bEFqairs7e0RERGBzMxMpRTUhg0bwsrKCuHh4QDyT1JNTk7G5cuXxWtUJanm3oOIiKikErKleZUERZ7kGRUVBXt7e6SlpcHIyAi7du2Cra0tIiMjoaenB1NTU6Xrq1at+s6U1NxzBV1TUJIqlQ6aNgTA7n8iovdX5AZGgwYNEBkZiaSkJOzYsQNubm4IC1N/Vw3j2omISOOVkN4HKRS5gaGnp4e6desCAOzs7HDu3DkEBASgb9++yMjIQGJiolIvRnx8vFJK6tmzZ5XuJ0WSKsC49tKAPQZEVNqVlOENKXzwRlvZ2dlIT0+HnZ0ddHV1ERISIp67fv06YmNjxRRUe3t7REVF4cmTJ+I1qpJU37xH7jUFJakCjGsnIiIqyIoVK1C7dm2UK1cObdq0yfML/9sSExPh6emJ6tWrQ19fH/Xr11cZYpqfIvVg+Pn5wdnZGVZWVnjx4gU2b96M0NBQHD58GCYmJnB3d4ePjw8qVaoEY2NjjBo1Cvb29mjbti2A4k1SZVx7ycc5GERU2qmrB2Pr1q3w8fFBYGAg2rRpgyVLlsDJyQnXr1+Hubl5nuszMjLQtWtXmJubY8eOHahRowZiYmLyzLMsSJGWqbq7uyMkJASPHz+GiYkJmjRpAl9fX3Tt2hXAfxtt/f7770obbeUOfwDyJakCXKZKRESFJ8cy1fjO0ixTrXqiaHMf27Rpg1atWmH58uUAckYfLC0tMWrUKIwfPz7P9YGBgViwYAGuXbsGXV3d96qRaapERESQqYHRqZMk9zE9fDjPwgZVPflATm+EgYEBduzYgd69e4vH3dzckJiYiD179uT5nu7du6NSpUowMDDAnj17YGZmhgEDBsDX1xfa2tqFqpFhZ0RERCWMv78/TExMlF7+/v4qr3327BmysrJUbgGRu0XE2+7cuYMdO3YgKysLBw8exOTJk7Fw4ULMmjWr0DUy7IyIiEgmUs3B8PPzg4+Pj9IxVb0X7ys7Oxvm5uZYtWoVtLW1YWdnh4cPH2LBggWYOnVqoe7BBgYREZFMhGxpFh/kNxyiSpUqVaCtra1yC4g350i+qXr16tDV1VUaDrGxsUFcXBwyMjKgp6f3zvflEAkREVEppqenBzs7O6UtILKzsxESEpLvFhDt27fHrVu3kJ39X5fLjRs3UL169UI1LoAiNjBWrlyJJk2awNjYGMbGxrC3t8ehQ4fE89999x0++ugjlC9fHmZmZujVqxeuXbumdI/Y2Fi4uLjAwMAA5ubmGDt2LF6/fq10TWhoKFq0aAF9fX3UrVsXQUFBRSmTiIhII6kri8THxwerV6/G+vXrcfXqVXh4eCA1NRVDhgwBAAwaNAh+fn7i9R4eHkhISMDo0aNx48YNHDhwAHPmzIGnp2eh31PSuHY7Ozu4urrCysoKCQkJmDZtGhwdHXH37l1oa2szrp2IiMo0QVDP/kx9+/bF06dPMWXKFMTFxaFZs2YIDg4WJ37GxsZCS+u/PgdLS0scPnwY3t7eaNKkCWrUqIHRo0fD19e30O8pWVy7u7t7nnOXLl1C06ZNcevWLXz00UeMayciIo0lxzLVh/afSXKfGuHHJblPcZIsrv1tqampWLduHaytrWFpaQmAce1ERFS2Ma69APnFtef65ZdfMG7cOKSmpqJBgwY4evSoOCGkOOPamaZKRESaTqpVJCVBkXswcuPaz5w5Aw8PD7i5ueHKlSvieVdXV/zzzz8ICwtD/fr18c033yAtLU3SolVRtemIkP2i2N+XiIiI8pIsrv3XX38FAPHhXq9ePbRt2xYVK1bErl270L9//2KNa1e16UjFyg2L+vGIRAxfIyKpld5wjrw+eKOt3Lh2VQRBgCAI4nl7e3vMnj0bT548EdPbVMW1vx0HW5i4dqapktT4QCciqZWlIRLJ4trv3LmDrVu3wtHREWZmZnjw4AHmzp2L8uXLo3v37gCKN66diIhI07GBkY8nT55g0KBBSnHthw8fRteuXfHo0SP8+eefWLJkCZ4/f46qVauiY8eOOH36tNhboa2tjf3798PDwwP29vZiXPuMGTPE97C2tsaBAwfg7e2NgIAA1KxZE//73/+4BwYREVEJwrh2IiIiyLMPxt2mXSW5j/XFo5Lcpzgx7Iw0BidVElFpV5aGSBh2RkRERJJjDwYREZFM1JVFog6SpqkCOVt9f/bZZzA0NISxsTE6duyIV69eiecTEhLg6uoKY2NjmJqawt3dHSkpKUr3uHTpEj755BOUK1cOlpaWmD9//gd8RCIiIs3ArcLz8a401fDwcHTr1g1+fn5YtmwZdHR0cPHiRaWENldXVzx+/BhHjx5FZmYmhgwZghEjRmDz5s0AgOTkZDg6OsLBwQGBgYGIiorC0KFDYWpqihEjRkj76UmjcM4DEVHpIWmaatu2bdG1a1fMnDlT5bVXr16Fra0tzp07h5YtWwIAgoOD0b17dzx48AAWFhZYuXIlJk6ciLi4ODHDZPz48di9ezeuXbtWpNq4ioSIiApLjlUkN2y6SXKf+leLli6uDpKlqT558gRnzpyBubk52rVrh6pVq+LTTz/FqVOnxO8JDw+Hqamp2LgAAAcHB2hpaeHMmTPiNR07dhQbF0BOmur169fx/Pnz9y2XiIhI7QRBIcmrJChyAyMqKgpGRkbQ19fHyJEjxTTVO3fuAACmTZuG4cOHIzg4GC1atECXLl1w8+ZNADlJqbmbbuXS0dFBpUqV3pmmmnsuP+np6UhOTlZ6leItPoiIiDSaZGmq2dk5s06+++47DBkyBM2bN8fixYvRoEEDrF27VvLC38Y0VSIi0nRCtkKSV0kgWZrq+PHjAUAMLctlY2OD2NhYADlJqU+ePFE6//r1ayQkJLwzTTX3XH6YplrycaMtIirtylLHumRpqrVr14aFhQWuX7+udP7GjRtwdnYGkJOUmpiYiIiICNjZ2QEAjh8/juzsbLRp00a8ZuLEicjMzISuri6AnDTVBg0aoGLFivnWwTTVko8PdCIq7UpK74MUJEtTVSgUGDt2LKZOnYqmTZuiWbNmWL9+Pa5du4YdO3YAyOnN6NatG4YPH47AwEBkZmbCy8sL/fr1g4WFBQBgwIABmD59Otzd3eHr64vo6GgEBARg8eLF0n96ogJoWo+KJmKjkIjyI1maKgCMGTMGaWlp8Pb2RkJCApo2bYqjR4/io48+Eu+xadMmeHl5oUuXLtDS0kKfPn2wdOlS8byJiQmOHDkCT09P2NnZoUqVKpgyZQr3wCDZ8eFJRFLLLiErQKTANFXSGJrWY8AGBlHZIsc+GFHWPSS5T+O7+yS5T3FiFglpDD7QC6ZpDTCA/86IKH9sYBCVEHyYE5V8pXfMIC82MEhjaNpv6Jr2QNe0nw+geT8jIk1XluZgFKmBsXLlSqxcuRL37t0DADRq1AhTpkwRl6Hevn0bP/30E06dOoX09HR069YNy5YtU9qZMyEhAaNGjcK+ffvESZ4BAQEwMjISr7l06RI8PT1x7tw5mJmZYdSoURg3bpwEH5c0GR9WBePPh4hKEsnSVGvXrg1HR0c0bdoUx48fBwBMnjwZPXr0wN9//y0mqjJNlfKjab+h84FORFIrKTkiUpAsTdXS0hLOzs54/vw5jI2NAQBJSUmoWLEijhw5AgcHB6apEhGRxpJjFckFy16S3KfF/T2S3Kc4SZammp6eDoVCobSbZrly5aClpSUmqjJNlYiIqGwo8iTPqKgo2NvbIy0tDUZGRmKaqpmZGQwNDeHr64s5c+ZAEASMHz8eWVlZePz4MYDCp6laW1srXfNmmmp+24Wnp6cjPT1d6ZggCNwunIiINEZZmuQpWZqqmZkZtm/fjn379sHIyAgmJiZITExEixYtxPkXxYlpqkREpOkEQSHJqySQLE31119/haOjI27fvo1nz55BR0cHpqamqFatGurUqQOAaapERFS2laUeDMnSVN9UpUoVADlJqU+ePEHPnj0BME2VCsZVJCUP/50RUX4kS1MFgHXr1sHGxgZmZmYIDw/H6NGj4e3tjQYNGgBgmipRacMHOlHRlKGNPKVNU71+/Tr8/PyQkJCA2rVrY+LEifD29la6B9NUKT98WBFRaVeWhkiYpkoag93tRKROcuyDcbp6H0nu0+7xH5Lcpzgxi4SohNC0BhjARhhRUZWUFSBSYAODNAYfVgXjz4eo5MtWdwEyKv4NKoiIiKjM+aAGxty5c6FQKDBmzBgA/yWlNmjQAOXLl4eVlRV++OEHJCUlKX1fbGwsXFxcYGBgAHNzc4wdOxavX79WuiY0NBQtWrSAvr4+6tati6CgoA8plYiISO0EKCR5lQTvPURy7tw5/Prrr2jSpIl47NGjR3j06BF+/vln2NraIiYmBiNHjsSjR4+wY8cOADkZJi4uLqhWrRpOnz6Nx48fY9CgQdDV1cWcOXMAAHfv3oWLiwtGjhyJTZs2ISQkBMOGDUP16tXh5OT0gR+ZNJUmzjHQJBwiISr5skvtsoq83msVSUpKClq0aIFffvkFs2bNQrNmzbBkyRKV127fvh3ffvstUlNToaOjg0OHDuHzzz/Ho0ePxIyRwMBA+Pr64unTp9DT04Ovry8OHDiA6Oho8T79+vVDYmIigoODC10nV5GULJrWwOADnahskWMVSWjVryW5T6f47ZLcpzi91xCJp6cnXFxc4ODg8M5rk5KSYGxsDB2dnM6S8PBwNG7cWGxcADlpqcnJybh8+bJ4zdv3dnJyQnh4+PuUS0REpBGyoZDkVRIUeYhky5YtuHDhAs6dO/fOa589e4aZM2cqbZIVFxen1LgAlNNSC7omOTkZr169Qvny5YtaNpUA7DEgotKupMyfkEKRGhj379/H6NGjcfToUZQrV67Aa5OTk+Hi4gJbW1tMmzbtQ2osFMa1ExGRpitLy1SL1MCIiIjAkydP0KJFC/FYVlYWTp48ieXLlyM9PR3a2tp48eIFunXrhgoVKmDXrl1iaBmQk4h69uxZpfu+nZaaX6KqsbFxvr0X/v7+mD59utIxhZYRFNrGRfmIpEacg0FEVHoUqYHRpUsXREVFKR0bMmQIGjZsCF9fX2hrayM5ORlOTk7Q19fH3r178/R02NvbY/bs2Xjy5AnMzc0B5KSlGhsbw9bWVrzm4MGDSt939OhR2Nvb51sb49pLPj7Qiai04xBJPipUqICPP/5Y6ZihoSEqV66Mjz/+GMnJyXB0dMTLly+xceNGJCcnIzk5GQBgZmYGbW1tODo6wtbWFgMHDsT8+fMRFxeHSZMmwdPTU4xbHzlyJJYvX45x48Zh6NChOH78OLZt24YDBw7kWxvj2omISNNxiOQ9XbhwAWfOnAEA1K1bV+nc3bt3Ubt2bWhra2P//v3w8PCAvb09DA0N4ebmhhkzZojXWltb48CBA/D29kZAQABq1qyJ//3vf9wDg4iIqIRgmioRERHk2QfjYNV+ktyne/wWSe5TnBh2RhqDkzyJqLQrS3MwGHZGREREkmMPBmkM9hgUTNN6eAD+OyMqquyy04HBBgZpDk17gGraw1PT6iGioisp23xL4YMaGHPnzoWfnx9Gjx4thp116tQJYWFhStd99913CAwMFL+OjY2Fh4cHTpw4ASMjI7i5ucHf31/MKwFy4tp9fHxw+fJlWFpaYtKkSRg8ePCHlEsajg9QIqLSQ9K49lzDhw9XWnZqYGAg/jPj2ik/7MEgotKu1C7bVOG9GhgpKSlwdXXF6tWrMWvWrDznDQwMxG2/33bkyBFcuXIFx44dQ9WqVdGsWTPMnDkTvr6+mDZtGvT09BAYGAhra2ssXLgQAGBjY4NTp05h8eLFbGCUYnygE1FpV5Y22iqWuPZNmzahSpUq+Pjjj+Hn54eXL1+K5xjXTkREZVW2QiHJqySQPK59wIABqFWrFiwsLHDp0iX4+vri+vXr2LlzJ4Dii2tnmioREZHmkDyufcSIEeI/N27cGNWrV0eXLl1w+/ZtfPTRRx9WbQGYpkpERJquLM3BKNIQyZtx7To6OtDR0UFYWBiWLl0KHR0dZGVl5fmeNm3aAABu3boFIP8o9txzBV1TUFy7n58fkpKSlF4KrQpF+XhERETFKluiV0kgeVz72yIjIwEA1atXB1B8ce1MUy35uIqkYJr28wE072dERJpD0rj227dvY/PmzejevTsqV66MS5cuwdvbGx07dhSXsxZXXDtRaceHOVHJx50835Oenh6OHTuGJUuWIDU1FZaWlujTpw8mTZokXsO4dsoPH6BEVNqpcyfPFStWYMGCBYiLi0PTpk2xbNkytG7d+p3ft2XLFvTv3x+9evXC7t27C/1+jGsnIiKCPHHtmyy+leQ+ro82Fun6rVu3YtCgQQgMDESbNm2wZMkSbN++HdevXxenK6hy7949dOjQAXXq1EGlSpWK1MBgmioREZFMBIleRbVo0SIMHz4cQ4YMga2tLQIDA2FgYIC1a9fm+z1ZWVlwdXXF9OnTUadOnSK/JxsYREREMslWSPNKT09HcnKy0uvtvaByZWRkICIiQmkDSy0tLTg4OBS4geWMGTNgbm4Od3f39/qsbGAQERGVMP7+/jAxMVF6+fv7q7z22bNnyMrKUrmBZe4Gl287deoU1qxZg9WrV793jZKnqcbFxWHs2LE4evQoXrx4gQYNGmDixIno06eP+H0JCQkYNWoU9u3bBy0tLfTp0wcBAQEwMjISr7l06RI8PT1x7tw5mJmZYdSoURg3btyHlEsaTtOWYXLSKRFJTao9LPz8/ODj46N07O2tGt7XixcvMHDgQKxevRpVqlR57/tInqY6aNAgJCYmYu/evahSpQo2b96Mb775BufPn0fz5s0BAK6urnj8+DGOHj2KzMxMDBkyBCNGjMDmzZsBAMnJyXB0dISDgwMCAwMRFRWFoUOHwtTUVGmnUCIiopJEqlUVqvZ+yk+VKlWgra2tcgNLVcGkt2/fxr1799CjRw/xWHZ2TtNIR0cH169fL9TO3JKnqZ4+fRorV64Ul75MmjQJixcvRkREBJo3b46rV68iODgY586dQ8uWLQEAy5YtQ/fu3fHzzz/DwsICmzZtQkZGBtauXQs9PT00atQIkZGRWLRoERsYpZim9RiwR4WIpKaOfTD09PRgZ2eHkJAQ9O7dO6eO7GyEhITAy8srz/UNGzbMs6nmpEmT8OLFCwQEBMDS0rJQ7/teDYw301TfbmC0a9cOW7duhYuLC0xNTbFt2zakpaWhU6dOAHKSUk1NTcXGBQA4ODhAS0sLZ86cwRdffIHw8HB07NgRenp64jVOTk6YN28enj9/jooVK75P2URFwgc6EZUWPj4+cHNzQ8uWLdG6dWtxv6ohQ4YAyBl9qFGjBvz9/VGuXLk8m2qampoCQJ7jBZE8TXXbtm3o27cvKleuDB0dHRgYGGDXrl2oW7cugJw5Gm+vudXR0UGlSpWU0lStra2VrnkzcVVVA4NpqkREpOnUlSPSt29fPH36FFOmTEFcXByaNWuG4OBg8dkaGxsLLS1p131InqY6efJkJCYm4tixY6hSpQp2796Nb775Bn/++ScaN24sSdGqME2ViIg0nTqDyry8vFQOiQBAaGhogd8bFBRU5PcrUgPjzTTVXFlZWTh58iSWL1+O69evY/ny5YiOjkajRo0AAE2bNsWff/6JFStWIDAwENWqVcOTJ0+U7vv69WskJCS8M00195wqqmbUVqzcsCgfj9SMcx6IiEoPSdNUX758CQB5ulm0tbXFGaj29vZITExEREQE7OzsAADHjx9Hdna2GO1ub2+PiRMnIjMzE7q6ugBy0lQbNGiQ7/wLpqmWfHygE1FpJ5Shx5KkaaqZmZmoW7cuvvvuO/z888+oXLkydu/ejaNHj2L//v0AABsbG3Tr1g3Dhw9HYGAgMjMz4eXlhX79+sHCwgIAMGDAAEyfPh3u7u7w9fVFdHQ0AgICsHjxYok+NhERkfzUOUQiN0nTVHV1dXHw4EGMHz8ePXr0QEpKCurWrYv169eje/fu4nWbNm2Cl5cXunTpIm60tXTpUvG8iYkJjhw5Ak9PT9jZ2aFKlSqYMmUKl6iSrDRtyEYTsdeJiPLDNFXSGJr2QOfDk6hskSNNdbmlNGmqXveLlqaqDpL2YBAREVH+Su1v9CqwgUEagz0GRESlBxsYREREMlHHVuHqUqQGxrRp0/JsZtWgQQNcu3YNALBq1Sps3rwZFy5cwIsXL/D8+XNxe9FcTFKl/HAOBhGVdlxFUoBGjRrh2LFj/91A579bvHz5Et26dUO3bt3g5+en8vuZpEr54QOdiEo7NjAK+gYdnXx30xwzZgyA/LccZZIqERFR2VDkBsbNmzdhYWGBcuXKwd7eHv7+/rCysirU9zJJlQrCIRIiKu24iiQfbdq0QVBQEBo0aIDHjx9j+vTp+OSTTxAdHY0KFSq88/uLK0kVYJpqacAHOhGVdpzkmQ9nZ2fxn5s0aYI2bdqgVq1a2LZtG9zd3SUvriiYpkpSY48KEdH7+6Blqqampqhfvz5u3bpVqOuLK0kVYJoqSY8PdCKSGid5FlJKSgpu376NgQMHFur64kpSBZimWhqwx4CISjvOwcjHTz/9hB49eqBWrVp49OgRpk6dCm1tbfTv3x9AzhyJuLg4sUcjKioKFSpUgJWVFSpVqsQkVSoQH+hERKVHkRoYDx48QP/+/fHvv//CzMwMHTp0wN9//w0zMzMAQGBgoNI8iI4dOwIA1q1bh8GDBwNgkioREZVd2WWoD4NpqkRERJAnTXVmLVdJ7jM5ZpMk9ylOWuougIiIiEofhp0RERHJpNQOGajABgYREZFMuEw1H+9KU80lCAK6d++O4OBg7Nq1C7179xbPxcbGwsPDAydOnICRkRHc3Nzg7++vFJoWGhoKHx8fXL58GZaWlpg0aZI4SZRKLy5TJaLSjjt5FqCgNNVcS5YsUbkHRVZWFlxcXFCtWjWcPn0ajx8/xqBBg6Crq4s5c+YAAO7evQsXFxeMHDkSmzZtQkhICIYNG4bq1avDycmpqOUSERGRGkiapgoAkZGRWLhwIc6fP4/q1asrnTty5AiuXLmCY8eOoWrVqmjWrBlmzpwJX19fTJs2DXp6eggMDIS1tTUWLlwIALCxscGpU6ewePFiNjBKOfYYEFFpV5aWqRZ5FUlummqdOnXg6uqK2NhY8dzLly8xYMAArFixQmUjJDw8HI0bNxbDy4CcpNTk5GRcvnxZvMbBwUHp+5ycnBAeHl7UUomIiDSKINGrJJA0TdXb2xvt2rVDr169VH5/XFycUuMCUE5KLeia5ORkvHr1CuXLly9KyUTvjXNCiIjen2RpqmZmZjh+/Dj++ecfyYssDMa1k9T4QCciqZWlVSQftNHWm2mqx48fx+3bt2FqagodHR1x8mefPn3QqVMnAIVLSs3vGmNj4wJ7L/z9/WFiYqL0ErJffMjHIyIiklQ2BEleJYFkaarffPMNhg0bpnS+cePGWLx4MXr06AEgJyl19uzZePLkCczNzQHkJKUaGxvD1tZWvObgwYNK9zl69Cjs7e0LrIVx7SUfhySIiEoPydJUzczMVE7stLKygrW1NQDA0dERtra2GDhwIObPn4+4uDhMmjQJnp6eYtT6yJEjsXz5cowbNw5Dhw7F8ePHsW3bNhw4cKDA2hjXTqWdpjXAADbCiIqqZPQ9SEPSNNV30dbWxv79++Hh4QF7e3sYGhrCzc0NM2bMEK+xtrbGgQMH4O3tjYCAANSsWRP/+9//uES1DODDqmD8+RCVfGVpDgbTVImIiCBPmqpP7X6S3GfRvS2S3Kc4MYuENIamDQGwx4CI6P2xgUFERCSTUjtkoAIbGERERDIpS3Mw2MAgjcEhCSKi0qNIG21NmzYNCoVC6dWwYc5eE/fu3ctzLve1fft28R6xsbFwcXGBgYEBzM3NMXbsWLx+/VrpfUJDQ9GiRQvo6+ujbt26CAoK+vBPSkREpGaCRP8rCSSLa7e0tMTjx4+Vrl21ahUWLFggbjHOuHYqCCd5ElFpxyGSgr4hn7h2bW3tPMd37dqFb775BkZGRgAY104F4wOdiKj0kDSu/U0RERGIjIyEu7u7eIxx7UREVJYxiyQf74prf9OaNWtgY2ODdu3aiceKM66daaokNQ7ZEJHUSkbTQBqSxbW/2VPx6tUrbN68GZMnT5au0nfw9/fH9OnTlY4ptIyg0DaWrQYqXfhAJyJ6f5LFtb9px44dePnyJQYNGqR0vDjj2v38/JCUlKT0UmhVyPd6IiIiuZWlIZIPamDkxrVXr15d6fiaNWvQs2fPPCFo9vb2iIqKwpMnT8RjquLaQ0JClL6vMHHt+vr6MDY2VnpxeISIiDRJtkSvkqBIDYyffvoJYWFhuHfvHk6fPo0vvvhCjGvPdevWLZw8eRLDhg3L8/1vxrVfvHgRhw8fVhnXfufOHYwbNw7Xrl3DL7/8gm3btsHb2/sDPyoREZF6cR+MfBQmrn3t2rWoWbMmHB0d83w/49qpIJxUSURUejCunYiICPLEtQ+t/ZUk91l7b4ck9ylOzCIhIiKSSUkZ3pACGxikMTRtiETTcMiGiEoSNjCIiIhkUlJWgEihyA2Mhw8fwtfXF4cOHcLLly9Rt25drFu3Di1btgSQs3vm1KlTsXr1aiQmJqJ9+/ZYuXIl6tWrJ94jISEBo0aNwr59+6ClpYU+ffogICBAzCwBgEuXLsHT0xPnzp2DmZkZRo0ahXHjxknwkYkKhz0GRCS17NI77TGPIi1Tff78Odq3bw9dXV0cOnQIV65cwcKFC1GxYkXxmvnz52Pp0qUIDAzEmTNnYGhoCCcnJ6SlpYnXuLq64vLlyzh69Cj279+PkydPYsSIEeL55ORkODo6olatWoiIiMCCBQswbdo0rFq1SoKPTERERMWtSKtIxo8fj7/++gt//ql6rFwQBFhYWODHH3/ETz/9BABISkpC1apVERQUhH79+uHq1auwtbXFuXPnxF6P4OBgdO/eHQ8ePICFhQVWrlyJiRMnIi4uDnp6euJ77969G9euXSv0h+MqEiIiKiw5VpF8W+tLSe6zMWanJPcpTkXqwdi7dy9atmyJr7/+Gubm5mjevDlWr14tnr979y7i4uKU0lBNTEzQpk0bMQ01PDwcpqamYuMCABwcHKClpYUzZ86I13Ts2FFsXAA5iarXr1/H8+fP3++TEhERqRm3Cs/HnTt3xPkUhw8fhoeHB3744QesX78ewH+JqKrSUN9MSzU3N1c6r6Ojg0qVKr0zUfXN93hbeno6kpOTlV6leIsPIiIijVakSZ7Z2dlo2bIl5syZAwBo3rw5oqOjERgYCDc3t2IpsLCYpkpERJqO+2Dko3r16mIoWS4bGxv88ccfAP5LRI2Pj1cKQIuPj0ezZs3Ea94MOwOA169fIyEh4Z2Jqm++x9v8/Pzg4+OjdKxi5YZF+XikZpq2DwZXkRCR1LhMNR/t27fH9evXlY7duHEDtWrVApCTI1KtWjWEhISIDYrk5GScOXMGHh4eAHLSUhMTExEREQE7OzsAwPHjx5GdnY02bdqI10ycOBGZmZnQ1dUFkJOo2qBBA6UVK2/S19cXA9NyMU21ZOEDnYhKu5Iyf0IKRZqD4e3tjb///htz5szBrVu3sHnzZqxatQqenp4Ach7oY8aMwaxZs7B3715ERUVh0KBBsLCwQO/evQHk9Hh069YNw4cPx9mzZ/HXX3/By8sL/fr1g4WFBQBgwIAB0NPTg7u7Oy5fvoytW7ciICAgTw8FERERaaYih53t378ffn5+uHnzJqytreHj44Phw4eL53M32lq1ahUSExPRoUMH/PLLL6hfv754TUJCAry8vJQ22lq6dGm+G21VqVIFo0aNgq+vb5E+HJepEhFRYcmxTPWrWj0luc+OmL2S3Kc4MU2ViIgI8jQwvpSogbGzBDQwijREQkRERFQYDDsjjcFVJERU2qlz0GDFihVYsGAB4uLi0LRpUyxbtgytW7dWee3q1auxYcMGREdHAwDs7OwwZ86cfK9XhQ0M0hh8oBNRaaeuVSRbt26Fj48PAgMD0aZNGyxZskTcIfvtzS8BIDQ0FP3790e7du1Qrlw5zJs3D46Ojrh8+TJq1Cjc9IMiD5E8fPgQ3377LSpXrozy5cujcePGOH/+vHh+2rRpaNiwIQwNDVGxYkU4ODiIW4DnSkhIgKurK4yNjWFqagp3d3ekpKSI59PS0jB48GA0btwYOjo64goUIiIiKrpFixZh+PDhGDJkCGxtbREYGAgDAwOsXbtW5fWbNm3C999/j2bNmqFhw4b43//+h+zsbISEhBT6PSVPU61fvz6WL1+OqKgonDp1CrVr14ajoyOePn0qXvOuNNWsrCyUL18eP/zwg1KuCRERUUmWLdFLVTxGenq6yvfMyMhARESE0vNUS0sLDg4OYk7Yu7x8+RKZmZmoVKlSoT+rpGmqqiQnJ8PExATHjh1Dly5dCpWm+qbBgwcjMTERu3fvLvR75uIqEiIiKiw5VpF8buUiyX1aDm2VJx5j6tSpmDZtWp5rHz16hBo1auD06dOwt7cXj48bNw5hYWF5RhlU+f7773H48GFcvnwZ5cqVK1SNkqapvi0jIwOrVq2CiYkJmjZtCqBwaapERESUPz8/PyQlJSm9/Pz8iuW95s6diy1btmDXrl2FblwARZzkmZum6uPjgwkTJuDcuXP44YcfoKenpxR2tn//fvTr1w8vX75E9erVcfToUVSpUgVA4dJU30d6enqe7iFBELhdeAnCVSREVNpJNclTVTxGfqpUqQJtbW2VGV/55Xvl+vnnnzF37lwcO3YMTZo0KVKNxZKm2rlzZ0RGRuLZs2dYvXo1vvnmG5w5c0blTFWpME215OMDnYhKO3UsU9XT04OdnR1CQkLERRO5Eza9vLzy/b758+dj9uzZOHz4sNKoQ2FJmqaay9DQEHXr1kXdunXRtm1b1KtXD2vWrIGfn1+h0lTfB9NUSz5N68HQNGyAEZV86kpT9fHxgZubG1q2bInWrVtjyZIlSE1NxZAhQwAAgwYNQo0aNeDv7w8AmDdvHqZMmYLNmzejdu3a4giDkZGRUqxHQSRNU81Pdna2OHxRmDTV98E0VZIaH+hEVFr07dsXT58+xZQpUxAXF4dmzZohODgYVatWBQDExsZCS+u/aZkrV65ERkYGvvrqK6X75DeRVJUirSI5d+4c2rVrh+nTp+Obb77B2bNnMXz4cKxatQqurq5ITU3F7Nmz0bNnT1SvXh3Pnj3DihUrsHnzZkRERKBRo0YAAGdnZ8THxyMwMBCZmZkYMmQIWrZsic2bN4vvdeXKFWRkZGDKlCl48eIFFi9eDABiDHxhcBUJEREVlhyrSBwtu0lynyP3gyW5T3GSNE01LS0NAwYMwJkzZ/Ds2TNUrlwZrVq1wqRJk9CqVSvxHoVJU61duzZiYmLyvH9RymUDg4iICkuOBoaDpZMk9zl2/7Ak9ylOTFMlKiE0cY4Kh5GoNGEDQ1rMIiEqIfgwJyr5SvHv9HmwgUFERCQTdYWdqQMbGKQxNG0IgD0GRETvT/I0VQC4evUqevbsCRMTExgaGqJVq1aIjY0Vz6elpcHT0xOVK1eGkZER+vTpk2eHsR9++AF2dnbQ19cv0soRIiIiTSVI9L+SoEg9GLlpqp07d8ahQ4dgZmaGmzdvKqWp3r59Gx06dIC7uzumT58OY2PjPOEo3t7eOHDgALZv3w4TExN4eXnhyy+/xF9//aX0fkOHDsWZM2dw6dKlD/yYVBKwx4CISrvsMjQHQ/I01X79+kFXVxe//fabyvNJSUkwMzPD5s2bxQ08rl27BhsbG4SHh6Nt27ZK10+bNg27d+9GZGRkYcsUcRUJEREVlhyrSDrW6CLJfU4+DJHkPsVJ0jTV7OxsHDhwAPXr14eTkxPMzc3Rpk0bpaj1iIgIZGZmKuXSN2zYEFZWVoXOpSciIiqJBIleJUGRGhi5aar16tXD4cOH4eHhgR9++AHr168HADx58gQpKSmYO3cuunXrhiNHjuCLL77Al19+ibCwMAA5aap6enowNTVVunfVqlU/OE01OTlZ6VWWlgMREZHmy4YgyaskkDRNNTs7J8alV69e8Pb2BpCztffp06cRGBiITz/9VOLy/8M0VSIi0nQlpXEghSL1YOSXppq7QqRKlSrQ0dEp8Jpq1aohIyMDiYmJStcUJpe+IH5+fkhKSlJ6KbQqvPf9iIiI6P0VqYHxrjRVPT09tGrVqsBr7OzsoKuri5CQ/yaoXL9+HbGxsbC3t3+vDwHkpKkaGxsrvZimSkREmkQQBEleJUGRhki8vb3Rrl07zJkzR0xTXbVqFVatWiVeM3bsWPTt2xcdO3ZE586dERwcjH379iE0NBQAYGJiAnd3d/j4+KBSpUowNjbGqFGjYG9vr7SC5NatW0hJSUFcXBxevXolriKxtbWFnp7eh39y0jjcaIuISruyNEQiaZpqrrVr18Lf3x8PHjxAgwYNMH36dPTq1Us8n5aWhh9//BG///470tPT4eTkhF9++UVpiKRTp07ixNA33b17F7Vr1y5UrVymSkREhSXHMtXWFtLMRTz7KO/zUdMwTZWIiAjyNDBaWXSU5D7nHp2U5D7FiVkkpDE4REJEpV0p/p0+DzYwSGPwgU5EVHqwgUFERCSTsjTJU/I01fj4eAwePBgWFhYwMDBAt27dcPPmTaV7vCtN9eLFi+jfvz8sLS1Rvnx52NjYICAg4AM+JhERkfqVpWWqRWpg5Kap6urq4tChQ7hy5QoWLlwopqkKgoDevXvjzp072LNnD/755x/UqlULDg4OSE1NFe/j7e2Nffv2Yfv27QgLC8OjR4/w5ZdfiucjIiJgbm6OjRs34vLly5g4cSL8/PywfPlyiT42ERERFSdJ01Rv3LiBBg0aIDo6Go0aNQKQs714tWrVMGfOHAwbNqzIaaq5PD09cfXqVRw/frzQH46rSIiIqLDkWEXStFo7Se5zMe60JPcpTkWag7F37144OTnh66+/RlhYGGrUqIHvv/9e3AcjPT0dAFCuXDnxe7S0tKCvr49Tp05h2LBh70xTza+BkZSUhEqVKhX5AxK9L65qISKpCWVoDkaRGhi5aao+Pj6YMGECzp07hx9++AF6enpwc3MTGwp+fn749ddfYWhoiMWLF+PBgwd4/PgxgPdLUz19+jS2bt2KAwcOvN+nJHoPfKATkdSyS8j8CSlImqaqq6uLnTt3wt3dHZUqVYK2tjYcHBzg7Oz83pNSoqOj0atXL0ydOhWOjo75Xpeeni72oOQSBIF5JERERGpQpAZGfmmqf/zxh/i1nZ0dIiMjkZSUhIyMDJiZmaFNmzZo2bIlAOU01Td7MVSlqV65cgVdunTBiBEjMGnSpAJrY1w7SY1DJEQkNQ6R5ONdaapvMjExAQDcvHkT58+fx8yZMwEop6n26dMHgOo01cuXL+Ozzz6Dm5sbZs+e/c7a/Pz84OPjo3SsYuWGRfl4REr4QCciqXGIJB+FSVPdvn07zMzMYGVlhaioKIwePRq9e/cWhzcKk6YaHR2Nzz77DE5OTvDx8RHnZmhra8PMzExlbfr6+tDX11c6xuERIiIi9ShSA6NVq1bYtWsX/Pz8MGPGDFhbW2PJkiVwdXUVr3n8+DF8fHwQHx+P6tWrY9CgQZg8ebLSfRYvXgwtLS306dNHKU01144dO/D06VNs3LgRGzduFI/XqlUL9+7de8+PSlQ0HCIhIqmVpSESpqmSxuADnYjUSY59MOqbtZTkPjeenn/3RWpW5K3CiYiIiN6FYWekMdhjQESlXVkaImEDgzQGh0iIqLQrS6tIOERCREREkityD0bt2rURExOT5/j333+PmTNnYurUqThy5AhiY2NhZmaG3r17Y+bMmeK+GAAQGxsLDw8PnDhxAkZGRnBzc4O/vz90dHLK2blzJ1auXInIyEikp6ejUaNGmDZtGpycnD7goxIVDXtUiEhqHCIpwLlz55CVlSV+HR0dja5du+Lrr7/Go0eP8OjRI/z888+wtbVFTEwMRo4ciUePHmHHjh0AgKysLLi4uKBatWo4ffo0Hj9+jEGDBkFXV1fcgvzkyZPo2rUr5syZA1NTU6xbtw49evTAmTNn0Lx5c4k+OlHB+EAnIqkJQra6S5DNBy9THTNmDPbv34+bN2+q3Nhq+/bt+Pbbb5GamgodHR0cOnQIn3/+OR49eoSqVasCAAIDA+Hr64unT59CT09P5fs0atQIffv2xZQpUwpdG5epEhFRYcmxTLVW5SaS3Cfm30uS3Kc4fdAcjIyMDGzcuBFDhw7Nd9fMpKQkGBsbi8Mf4eHhaNy4sdi4AAAnJyckJyfj8uXLKu+RnZ2NFy9eMK6diIiohPigVSS7d+9GYmIiBg8erPL8s2fPMHPmTIwYMUI8FhcXp9S4ACB+nV9c+88//4yUlBR88803+dbCNNWSj3MeCqZpPx9A835GRJquFO9tmccHNTDWrFkDZ2dnWFhY5DmXnJwMFxcX2NraYtq0ae/9Hps3b8b06dOxZ88emJub53sd01RLPj6sCsafD1HJl12GJnm+9xBJTEwMjh07hmHDhuU59+LFC3Tr1g0VKlTArl27oKurK56rVq0a4uPjla7P/frtuPYtW7Zg2LBh2LZtGxwcHAqsx8/PD0lJSUovhVaF9/14RERE9AHeuwdj3bp1MDc3h4uLi9Lx5ORkODk5QV9fH3v37kW5cuWUztvb22P27Nl48uSJ2CNx9OhRGBsbw9bWVrzu999/x9ChQ7Fly5Y876EK01RLPk0bAtC0HgNN+/kAmvczItJ0ZWmI5L1WkWRnZ8Pa2hr9+/fH3LlzxePJyclwdHTEy5cvsWvXLhgaGornzMzMoK2tjaysLDRr1gwWFhaYP38+4uLiMHDgQAwbNkxcprp582a4ubkhICAAX375pXiP8uXLK+2n8S5cRUJERIUlxyqS6qa2776oEB4nXpHkPsXpvRoYR44cgZOTE65fv4769euLx0NDQ9G5c2eV33P37l3Url0bQM7wioeHB0JDQ2FoaAg3NzfMnTtXXGnSqVMnhIWF5bmHm5sbgoKCCl0nGxhERFRYbGBIi3HtpDE0bQiA3f9EZYscDYxqpjaS3Ccu8aok9ylODDsjIiKSSSn+nT4PNjBIY7DHgIio9GADgzQGh0iIqLQrS/tgSJqmumLFCpUTNL/77jsEBgaKXzNNlVThA52ISjsOkRSgoDTVXMOHD8eMGTPErw0MDMR/ZpoqERGVVdllqIEheZpqp06d0KxZMyxZskTl9UxTJSIiTSTHKpJKFepJcp+EFzcluU9x+qA5GLlpqj4+Pkq7Zm7atAkbN25EtWrV0KNHD0yePFnsxcgvTdXDwwOXL19W2UPBNNWygXMwCqZpPx9A835GRJqOQySFpCpNdcCAAahVqxYsLCxw6dIl+Pr64vr169i5cycApqkSvS8+zIlKPk7yLCRVaapvRrM3btwY1atXR5cuXXD79m189NFHRX4PpqmWHXyAEhGVHsWSpvqmNm3aAABu3boFgGmqRERUdgmCIMmrJHjvBkZ+aapvi4yMBABUr14dQE6aalRUFJ48eSJek1+a6pAhQ/D7778XOk3V2NhY6cXhESIi0iTZgiDJqyR4ryGS7OxsrFu3Dm5ubuLeFQBw+/ZtbN68Gd27d0flypVx6dIleHt7o2PHjmjSpAkAwNHREba2thg4cKCYpjpp0iR4enqKcetvpqm2adNGnJtR1DRVIiIiUg9J01Tv37+Pb7/9FtHR0UhNTYWlpSW++OILTJo0CcbG/82FYJoqERFpGjmWqRoa1JbkPqkv70lyn+LENFXSGJq4DFOTcBIsUfGSo4FRvnwtSe7z6lXeHbU1DbNISGNo2gOUDR4iovfHBgZRPjStwUNEJV8pHjTIgw0MIiIimQjcaIuIiIikxh4MIjXQtDkPmjZEomk/H0DzfkZElL8VK1ZgwYIFiIuLQ9OmTbFs2TK0bt063+u3b9+OyZMn4969e6hXrx7mzZuH7t27F/r92MAgjcGHFRGVdurqwdi6dSt8fHwQGBiINm3aYMmSJeJ2E6piOE6fPo3+/fvD398fn3/+OTZv3ozevXvjwoUL+Pjjjwv1nlymSkREBHmWqUr1XCpqrW3atEGrVq2wfPlyADkbZlpaWmLUqFEYP358nuv79u2L1NRU7N+/XzzWtm1bNGvWDIGBgYV6z/feKpyIiIjUIz09HcnJyUqvtxPFc2VkZCAiIkIp00tLSwsODg4IDw9X+T3h4eF5MsCcnJzyvV4lgQqUlpYmTJ06VUhLS1N3KYIgsJ53YT0F07R6BEHzamI9BWM9mmHq1KkCAKXX1KlTVV778OFDAYBw+vRppeNjx44VWrdurfJ7dHV1hc2bNysdW7FihWBubl7oGkv1EIkUkpOTYWJigqSkJKXtzlkP62E90tC0mlgP6ykJ0tPT8/RY6Ovri5leb3r06BFq1KiB06dPw97eXjw+btw4hIWF4cyZM3m+R09PD+vXr0f//v3FY7/88gumT5+eJxE9P5zkSUREVMLk15hQpUqVKtDW1s7TMIiPj0e1atVUfk+1atWKdL0qnINBRERUiunp6cHOzg4hISHisezsbISEhCj1aLzJ3t5e6XoAOHr0aL7Xq8IeDCIiolLOx8cHbm5uaNmyJVq3bo0lS5YgNTUVQ4YMAQAMGjQINWrUgL+/PwBg9OjR+PTTT7Fw4UK4uLhgy5YtOH/+PFatWlXo92QD4x309fUxderUQndFFTfWUzDWUzBNqwfQvJpYT8FYT8nUt29fPH36FFOmTEFcXByaNWuG4OBgVK1aFQAQGxsLLa3/BjXatWuHzZs3Y9KkSZgwYQLq1auH3bt3F3oPDKCU74NBRERE6sE5GERERCQ5NjCIiIhIcmxgEBERkeTYwCAiIiLJsYFB7yUjIwPXr1/H69ev1V0KEcng1q1bOHz4MF69egVAfamgVHKwgVEC3LlzR90liF6+fAl3d3cYGBigUaNGiI2NBQCMGjUKc+fOVXN1mmHo0KF48eJFnuOpqakYOnSoGioien///vsvHBwcUL9+fXTv3h2PHz8GALi7u+PHH39Uc3WkydjAKAHq1q2Lzp07Y+PGjUhLS1NrLX5+frh48SJCQ0NRrlw58biDgwO2bt2qlpoyMzOho6OD6Ohotbz/29avXy/+lvemV69eYcOGDbLX4+bmhpMnT8r+vlQ6eHt7Q0dHB7GxsTAwMBCP9+3bF8HBwWqsjDQdN9r6fxUrVoRCoSjUtQkJCcVcjbILFy5g3bp18PHxgZeXF/r27Qt3d3e0bt1a1joAYPfu3di6dSvatm2r9PNq1KgRbt++LXs9AKCrqwsrKytkZWWp5f1zJScnQxAECIKAFy9eKDXAsrKycPDgQZibm8teV1JSEhwcHFCrVi0MGTIEbm5uqFGjhux1vO3PP//Er7/+itu3b2PHjh2oUaMGfvvtN1hbW6NDhw6y1vLFF1+o/O9foVCgXLlyqFu3LgYMGIAGDRrIVlNiYiLOnj2LJ0+eIDs7W+ncoEGDZKvjyJEjOHz4MGrWrKl0vF69eoiJiZGtjjfFx8fjp59+QkhICJ48eZJnuEbdfxdQDjYw/t+SJUvEf/73338xa9YsODk5ifuuh4eH4/Dhw5g8ebLstTVr1gwBAQFYuHAh9u7di6CgIHTo0AH169fH0KFDMXDgQJiZmclSy9OnT1U+JFNTUwvdQCsOEydOxIQJE/Dbb7+hUqVKaqnB1NQUCoUCCoUC9evXz3NeoVBg+vTpste1e/duPH36FL/99hvWr1+PqVOnwsHBAe7u7ujVqxd0dXVlr+mPP/7AwIED4erqin/++UdMhUxKSsKcOXNw8OBBWesxMTHB7t27YWpqCjs7OwA5DfvExEQ4Ojpi69atmDdvHkJCQtC+fftir2ffvn1wdXVFSkoKjI2Nlf7bUigUsjYwUlNTlXouciUkJKht98zBgwcjNjYWkydPRvXq1dX6dw8VoNDB7mXIl19+KSxbtizP8WXLlgm9evWSv6C3pKWlCYsWLRL09fUFhUIh6OvrCwMHDhQePXpU7O/9ySefCEuXLhUEQRCMjIyEO3fuCIIgCF5eXoKTk1Oxv39+mjVrJhgZGQn6+vpC/fr1hebNmyu95BAaGiqcOHFCUCgUws6dO4XQ0FDxdfr0aeHhw4ey1PEuERERgpeXl1CuXDmhSpUqwpgxY4QbN27IWkOzZs2E9evXC4KQ8+fo9u3bgiAIwoULF4SqVavKWosgCIKvr6/g4eEhZGVliceysrIELy8vwc/PT8jOzhZGjBghtG/fXpZ66tWrJ4wePVpITU2V5f0K4uzsLEyaNEkQhP/+m8/KyhK+/vproU+fPmqpycjISPjnn3/U8t5UeNwqXAUjIyNERkaibt26Ssdv3bqFZs2aISUlRS11nT9/HmvXrsWWLVtgaGgINzc3uLu748GDB5g+fTqSk5Nx9uzZYq3h1KlTcHZ2xrfffougoCB89913uHLlCk6fPo2wsDDxtz+5vatnYOrUqTJVAsTExMDKykojf6t6/PgxNmzYgHXr1uHBgwfo06cPHj58iLCwMMyfPx/e3t6y1GFgYIArV66gdu3aqFChAi5evIg6dergzp07sLW1lX2ukZmZGf766688PU83btxAu3bt8OzZM0RFReGTTz5BYmJisddjaGiIqKgo1KlTp9jf612io6PRpUsXtGjRAsePH0fPnj1x+fJlJCQk4K+//sJHH30ke022trbYtGkTmjdvLvt7UxGou4WjiaysrISff/45z/Gff/5ZsLKykr2ehQsXCh9//LGgq6sr9OrVS9i3b5/Sb1qCIAj3798XtLW1Zann1q1bwrBhw4RWrVoJNjY2gqurq3Dp0iVZ3rskOHTokPDnn3+KXy9fvlxo2rSp0L9/fyEhIUH2ejIyMoQdO3YILi4ugq6urmBnZyesXLlSSEpKEq/ZuXOnYGpqKltN1tbWwtGjRwVBUO7BWL9+vWBjYyNbHblMTU2FPXv25Dm+Z88e8edy48YN2X5GX3zxhbB161ZZ3qswEhMThVmzZglff/214OzsLEycOFGWHtP8HD58WHB0dBTu3r2rthro3TgHQ4Xp06dj2LBhCA0NRZs2bQAAZ86cQXBwMFavXi17PStXrsTQoUMxePBgVK9eXeU15ubmWLNmjSz1fPTRR2r5ORRGREQErl69CiBn4qk6fsMZO3Ys5s2bBwCIioqCj48PfvzxR5w4cQI+Pj5Yt26drPVUr14d2dnZ6N+/P86ePYtmzZrluaZz584wNTWVrabhw4dj9OjRWLt2LRQKBR49eoTw8HD89NNPapnnNHDgQLi7u2PChAlo1aoVAODcuXOYM2eOON8hLCwMjRo1kqUeFxcXjB07FleuXEHjxo3zzJPp2bOnLHXkMjExwcSJE2V9z4L07dsXL1++xEcffQQDA4M8Px+5J+KTahwiyceZM2ewdOlS8WFlY2ODH374QWxwyOX169eYNWsWhg0blmcWt1ySk5MLfa2xsXExVpK/J0+eoF+/fggNDRUflImJiejcuTO2bNki2yRYIGeILTo6GrVr18a0adMQHR2NHTt24MKFC+jevTvi4uJkqwUAfvvtN3z99ddKq1rUTRAEzJkzB/7+/nj58iWAnNjtn376CTNnzpS9nqysLMydOxfLly9HfHw8AKBq1aoYNWoUfH19oa2tLcZZy/Hf4Zux2W9TKBSyr5J4/vw51qxZI/59aGtriyFDhqhtQvX69esLPO/m5iZTJVQQNjBKgAoVKiAqKgq1a9dWy/traWm9cz6BIAhq+YsvV9++fXHnzh1s2LABNjY2AIArV67Azc0NdevWxe+//y5bLZUqVcKpU6dga2uLDh06YNCgQRgxYgTu3bsHW1tb8YEqh8zMTJQvXx6RkZH4+OOPZXvfwsrIyMCtW7eQkpICW1tbGBkZqbsksUGtrsaypjl58iR69OgBExMTtGzZEkBOT2FiYiL27duHjh07qrlC0lQcInlDYX9Tl/svns8++wxhYWFqa2CcOHFCLe9bFMHBwTh27JjYuAByfstasWIFHB0dZa2lQ4cO8PHxQfv27XH27FlxA7IbN27I3gulKXuEvG3o0KEICAhAhQoVYGtrKx5PTU3FqFGjsHbtWrXVxoaFMk9PT/Tt2xcrV66EtrY2gJwen++//x6enp6IiopSS11ZWVnYvXu30pBoz549xRpJ/diD8YZ3/aaurt/SAwMDMX36dLi6usLOzg6GhoZK5+Ucj42NjYWlpWWen5MgCLh//z6srKxkq+VNFSpUwJ9//plnfsE///yDTz/9tEjDPB8qNjYW33//Pe7fv48ffvgB7u7uAHJ2RMzKysLSpUtlqwUA1qxZg507d6p1j5C3aWtr4/Hjx3n2VHn27BmqVasme8aNJm7cFBYWhp9//llpWGLs2LH45JNPZK0jtwfs7U3Grl+/jmbNmqnctba43bp1C927d8fDhw/Fuq5fvw5LS0scOHBALStbKC82MN4QFhZWqOs+/fTTYq5EmSaNx+b3YPj3339hbm6utt+Ue/XqhcTERPz++++wsLAAADx8+BCurq6oWLEidu3apZa6NEHz5s1x69YtZGZmolatWnkaqBcuXJCtltzdTitWrIibN28qzY3JysrCvn37MH78eDx69Ei2mgDA2dkZsbGx8PLyUrlxU69evWStZ+PGjRgyZAi+/PJLcWOvv/76C7t27UJQUBAGDBggWy3t27fH2LFj0bt3b6Xju3fvxty5c/H333/LVkuu7t27QxAEbNq0SWw0//vvv/j222+hpaWFAwcOyF4T5cUGxgeYO3cuRo4cKevse3XT0tJCfHx8nkmTMTExsLW1RWpqqlrqun//vrg+39LSUjz28ccfY+/evWqbIJuWloaMjAylY3J3wU+bNq3Anjk59wh5Vy9h7m6ncq9YyK8HTF1sbGwwYsSIPPuSLFq0CKtXrxZ7NeSwdetWjBs3DqNGjULbtm0BAH///TdWrFiBuXPnKg1LNmnSRJaaDA0N8ffff6Nx48ZKxy9evIj27durba8iUsYGxgcwNjZGZGSkRmyGU9x8fHwAAAEBARg+fLjS1sFZWVk4c+YMtLW18ddff6mrRAiCgGPHjuHatWsAcv6SdnBwkL2O1NRU+Pr6Ytu2bfj333/znNe0+RByCgsLgyAI+Oyzz/DHH38oDdno6emhVq1aYg+UnDRt4yZ9fX1cvnxZ5WZ/H3/8sawbkRXUgwrkNArlHj6uVKkS9u/fj3bt2ikd/+uvv9CjRw8uU9UQnOT5AeRsm6l7PPaff/4BkPOZo6KioKenJ57T09ND06ZN8dNPP8lSiyobNmxA37590bVrV3Tt2lU8npGRgS1btsia3TBu3DicOHECK1euxMCBA7FixQo8fPgQv/76q1oi7evUqYNz586hcuXKSscTExPRokUL3LlzR7ZacocX7969C0tLy3c+vOSyZMkSjB8/Hr/++qvaJlO/ydLSEiEhIXkaGMeOHRN76ORy9+5dWd+vMD7//HOMGDECa9asEUMfz5w5g5EjR8q+RwgVQL49vUqfN3cgLE6//faboKOjI3zzzTdCQECAEBAQIHzzzTeCrq6usGnTpmJ//zcNHjxYaQdITaGlpSXEx8fnOf7s2TNBS0tL1losLS2FEydOCIIgCBUqVBBu3rwpCIIgbNiwQXB2dpa1FkEQBIVCofJnExcXJ+jq6spez5tSU1OFq1evChcvXlR6yc3U1FTQ09MTtLS0BCMjI6FixYpKL7n98ssvgp6enjBy5Ehhw4YNwoYNG4TvvvtO0NfXFwIDA2WtJSUlRdb3K4znz58LPXv2FBQKhaCnpyf+u+vdu7eQmJio7vLo/7EHowSYPXt2npyIH374AYsWLcLMmTNlnfAl9y6UhSX8fxft2x48eAATExNZa0lISBCHzYyNjcXu2g4dOsDDw0O2Ovbu3Sv+8+HDh5V+DllZWQgJCYG1tbVs9bzp6dOnGDJkCA4dOqTyvNzDSG+mKWsCDw8PVKtWDQsXLsS2bdsA5Az5bd26VfYJp1WrVsU333yDoUOHokOHDrK+d35MTU2xZ88e3Lx5U2lI9O0eH1IvNjBKgDt37qBHjx55jvfs2RMTJkwo9vf/8ssvERQUBGNjY3z55ZcFXrtz585ir+dNzZs3FyPSu3TpAh2d//5IZ2Vl4e7du+jWrZusNdWpUwd3796FlZUVGjZsiG3btqF169bYt2+frBOCc2f9KxSKPDsb6urqonbt2li4cKFs9bxpzJgxSExMxJkzZ9CpUyfs2rUL8fHxmDVrllpq0sSdH7/44gt88cUX6i4DGzduRFBQED777DPUrl0bQ4cOxaBBg9QyV+Zt9erVQ7169dRdBuWDDYwSQN3jsSYmJmLvgNy9Ae+S+xCNjIyEk5OT0k6Qenp6qF27Nvr06SNrTUOGDMHFixfx6aefYvz48ejRoweWL1+OjIwMLF68WLY6srOzAQDW1tY4d+4cqlSpItt7v8vx48exZ88etGzZElpaWqhVqxa6du0KY2Nj+Pv7w8XFpdhrSE5OFlf0vGuflLK8+Vbv3r3Ru3dvPH36FL/99huCgoIwefJkODk5YejQoejZs6dSw764+Pj4YObMmTA0NBQnnedn0aJFxV4PvRtXkXyA7t27Y82aNfkGkEll5cqVGDNmDIYOHSrOmv7rr78QFBSEgIAAfPfdd8X6/gAwY8YM/PTTT0qrRzTJ+vXr0a9fP+jr66u7lDxiYmIQERGBevXq5VlWV1YZGxvj0qVLqF27NmrVqoXNmzejffv2uHv3Lho1aiTLdupv7umS3/JZQcbVEZUqVcKNGzdQpUoVVKxYscDlvOpeJbFs2TKMHTsWGRkZqFKlCkaOHInx48cX698PnTt3xq5du2BqaorOnTsXeG1J2H24LGADQ4VBgwahc+fO6Nixo8bsCLdr1y4sXLhQKXxt7Nixso3H5rfBlqY4d+4csrOz84TR5S6fzc1QKE7Hjx+Hl5cX/v777zy/8SYlJaFdu3YIDAyUfSdGAAgJCRF3qczt2ciljm25W7VqhVmzZsHJyQk9e/aEqakp/P39sXTpUuzYsQO3b98u9hrCwsLQvn176OjovHOTPTk213uzkRwUFFRgA0MdQzrx8fFYv349goKCEBMTgy+++ALu7u548OAB5s2bBwsLCxw5ckT2ukiDqXOGqaZyd3cX6tWrJygUCqFmzZqCq6ursHr1auHGjRvqLk1t8luJoClatWolbN++Pc/xP/74Q2jdurUsNfTo0UNYtGhRvucDAgKE3r17y1LLm6ZNmyZoaWkJrVu3Fnr16iX07t1b6aUOv/32m7Bu3TpBEATh/PnzQpUqVQQtLS2hXLlywpYtW2SvJyYmRsjOzs5zPDs7W4iJiZG9Hk0wffp0ITU1Vfjjjz+Ezz//XNDV1RWaNm0qLFu2THj+/LnStbdu3ZJ1RdKQIUOE5OTkPMdTUlKEIUOGyFYHFYwNjAI8ePBA2Lx5s/Ddd98JDRs2FLS0tIQaNWqouyy1UCgUwpMnT9RdRr4MDQ1VLhm+c+eOYGRkJEsNVlZWwpUrV/I9f/XqVcHS0lKWWt5UrVo1YcOGDbK/b1GkpqYKERERwtOnT9Xy/pq0zFlT6smtwdjYWBgxYoRw9uzZfK99+fKlMG3aNFnqerO2tz19+lTQ1taWrQ4qGCd5FqBixYqoXLkyKlasCFNTU+jo6OTZIluuOlR1lyoUCpQrVw5169bF4MGDMWTIkGKto379+u+MbVfX2LC+vj7i4+Pz7Kr6+PFjWSagATldyLq6uvme19HRwdOnT2Wp5U0ZGRl5djzUNAYGBmjRooXa3l/IZ5lzSkoKypUrp5Z6VElPT1fa5E6OGh4/fvzOuRXly5eXZcv53CwbQRDw4sULpX83WVlZOHjwoMYO45ZFbGCoMGHCBISGhuKff/6BjY2NuBqgY8eOqFixouz1TJkyBbNnz4azs7O4a93Zs2cRHBwMT09P3L17Fx4eHnj9+jWGDx9ebHVMnz5d41aR5HJ0dISfnx/27Nkj1piYmIgJEyYo7exZnGrUqIHo6Oh81+JfunSp2CcEqzJs2DBs3rwZkydPlv29VUlNTcW8efOwc+dO3Lt3DwqFAtbW1vjqq69kn0icuxpBoVBg8uTJKrfAlzOfJDdpV6FQ4H//+5/SqqisrCycPHkSDRs2lK0ehUKhURO7TU1NxWXp9evXz3M+N8uGNAMneaqgpaUFMzMzeHt748svv1T5B1lOffr0QdeuXTFy5Eil47/++iuOHDmCP/74A8uWLcOqVasQFRVVLDVoaWkhLi5OY387ePjwITp27Ih///1XzJOIjIxE1apVcfToUVmW844aNQqhoaE4d+5cnt96X716hdatW6Nz586yx7WPHj0aGzZsQJMmTdCkSZM8vSxyLunL7U2Jjo6Gs7MzGjZsCEEQcPXqVQQHB6NFixY4efJkgT1BUspdjRAWFgZ7e/s8W+DXrl0bP/30k2x7LeRufBYTE4OaNWtCW1s7Tz0zZszIM5m5OGhpaSktUc+PnL2WmpplQ6qxgaHCxYsXERYWhtDQUPz555/Q09PDp59+ik6dOqFTp06yNziMjIwQGRmpMvioWbNmSElJwe3bt9GkSZNiSzPV9FUkQM5vxps2bcLFixdRvnx5NGnSBP3795ftYRUfH48WLVpAW1sbXl5eaNCgAQDg2rVrWLFiBbKysnDhwgVUrVpVlnpyFbSkT6FQ4Pjx47LVEhAQAH9/f4SFhYk/n1zXrl1Dp06dMHHiRIwaNUq2moCcvUsCAgI0Zr+Lzp07Y+fOnWrpMc2lpaWFJUuWvLPXUh0rWmJiYjQqy4ZUYwOjEC5evIjFixdj06ZNyM7Oln0bYysrK3h7e+eJbl68eDEWL16M2NhYXLp0CY6OjoiLiyuWGjS9B0NTxMTEwMPDA4cPHxbHsBUKBZycnLBixQq1bc2tKT799FN888038PT0VHl+2bJl2LFjxzuXjVLx0/T/5p8/f441a9YoBUAOGTJEqVeD1ItzMFQQBAH//PMPQkNDERoailOnTiE5ORlNmjSRZT382yZPngwPDw+cOHFCnINx7tw5HDx4EIGBgQCAo0ePFmttb++doIl+++03/Prrr7hz5w7Cw8NRq1YtLF68GHXq1JFtv5BatWrh4MGDeP78OW7dugVBEFCvXj21/iaqSa5cuYJOnTrle75z586YMWOGfAW94fz589i2bRtiY2ORkZGhdE7uLfCBnBydvXv3qqxHjmGtdw2NqNPJkyfRo0cPmJiYiHvcLF26FDNmzMC+ffvQsWNHNVdIAHswVKpYsSJSUlLQtGlTcWjkk08+kTVH4m1//fUXli9fjuvXrwMAGjRogFGjRmn86gC5rFy5ElOmTMGYMWMwa9YsXL58GXXq1EFQUBDWr19fpnf269y5c4EPCzmHSHR1dXH//n1Uq1ZN5fnHjx+jVq1aeR6oxW3Lli0YNGgQnJyccOTIETg6OuLGjRuIj4/HF198IXvIX0hICHr27Ik6derg2rVr+Pjjj3Hv3j0IgoAWLVrI8u9Mk3swGjduDHt7e6xcuVKcp5KVlYXvv/8ep0+fLra5aFQ0bGCocODAAXzyyScaMx5L72Zra4s5c+agd+/eqFChAi5evIg6deogOjoanTp1wrNnz9Rdotq8PbSWmZmJyMhIREdHw83NDQEBAbLVoq2tjbi4uHyXe8fHx8PCwkL2YcgmTZrgu+++g6enp/jnx9raGt999x2qV68u+8qE1q1bw9nZGdOnTxfrMTc3h6urK7p16yZrKq8mKl++PCIjI/PM47l+/TqaNWuGV69eqakyehOHSFR4M2jpwYMHAICaNWuqqxwAwO3bt7Fu3TrcuXMHS5Ysgbm5OQ4dOgQrKys0atRIrbVpgrt374qrR96kr69fbBNfS4r8AtamTZuGlJQUWWsRBCFP6u2bXr9+LWs9uW7fvi3+d6+np4fU1FQoFAp4e3vjs88+k72BcfXqVfz+++8AcvZPefXqFYyMjDBjxgz06tWrzDcwWrRogatXr+ZpYFy9ehVNmzZVU1X0NjYwVMjOzhZjo3P/Aq5QoQJ+/PFHTJw4UfaZy2FhYXB2dkb79u1x8uRJzJo1C+bm5rh48SLWrFmDHTt2yFqPJrK2tkZkZCRq1aqldDw4OBg2NjZqqkqzffvtt2jdujV+/vln2d6zMJsxyZ1+C+QMi7548QLAf/uZNG7cGImJibIEr73N0NBQHCaqXr06bt++Lf4iUZZ743L98MMPGD16NG7duoW2bdsCAP7++2+sWLECc+fOxaVLl8RrmzRpoq4ySc5tQ0uK8ePHC2ZmZsIvv/wiXLx4Ubh48aKwYsUKwczMTJgwYYLs9bRt21ZYuHChIAiCYGRkJG6JfebMmTK7dfnbVq9eLdSoUUPYsmWLYGhoKPz+++/CrFmzxH+mvDZs2CBUr15d3WUU6NSpU0JaWlqxv0///v3F/8ZmzJghmJmZCcOGDRNq1aqllryWXr16CatWrRIEQRB+/PFHoW7dusKsWbOEFi1aCF26dJG9Hk2jUCgKfGlpaYn/T+rDORgqWFhYIDAwED179lQ6vmfPHnz//fd4+PChrPUYGRkhKioK1tbWSvML7t27h4YNGyItLU3WejTVpk2bMG3aNDGJ08LCAtOnT4e7u7uaK1OvL7/8UulrQRDw+PFjnD9/HpMnT5Zli+f3ZWxsjMjIyDxbwEstISEBaWlpsLCwQHZ2NubPn4/Tp0+jXr16+Omnn2TfgfXOnTtISUkR97b58ccfxXoWLVqUp6eurImJiSn0tWX9Z6VOHCJRISEhQeV2vA0bNlRL1oapqSkeP36cZw+Ff/75BzVq1JC9Hk3z+vVrbN68GU5OTnB1dcXLly+RkpKikbPf1eHtjZK0tLTQoEEDzJgxA46OjmqqqnDk+v3nzb0TtLS0MH78eKSlpWHFihVo3rx5se0vo0pWVhYePHggdu0bGhqKy9EpBxsNJQMbGCo0bdoUy5cvz7Ol8/Lly9Uygahfv37w9fXF9u3boVAokJ2djb/++gs//fQTBg0aJHs9mkZHRwcjR44UN9wxMDDQqPwEdZN7iWVJkp6ejmnTpuHo0aPQ09PDuHHj0Lt3b6xbtw6TJk2CtrZ2nlU4xU1bWxuOjo64evWqWpfGa5q9e/fC2dkZurq62Lt3b4HXvt37TOrBIRIVwsLC4OLiAisrK9jb2wMAwsPDcf/+fRw8eBCffPKJrPVkZGTA09MTQUFByMrKgo6ODrKysjBgwAAEBQUp5RWUVZ06dcKYMWPQu3dvdZeisSIiIsRGWKNGjVSuutE0bw4JFgdfX1/8+uuvcHBwwOnTp/H06VMMGTIEf//9NyZMmICvv/5aLf99tWzZEvPmzUOXLl1kf29N9ea+HAVNtFcoFLIvcybV2MDIx6NHj7BixQpcu3YNAGBjY4Pvv/9erUE69+/fR1RUFFJSUtC8eXPZAphKgm3btsHPzw/e3t6ws7ODoaGh0vmyPJP8yZMn6NevH0JDQ8XfiBMTE9G5c2ds2bIl3z0pNEFxNzDq1KmDJUuWoGfPnoiOjkaTJk0wePBgrFmzRq07WQYHB8PPzw8zZ85U+eeZe/RQScAGRgkwY8YMlTHWr169woIFCzBlyhQ1VaY5VP1Go1AoIAhCmf+Npm/fvrhz5w42bNggLtm9cuUK3NzcULduXXG/BU1U3JM89fT0cPfuXXEuU/ny5XH27Fk0bty4WN6vsN788/xmQ4d/nnM2iuvWrRsCAwP5S5aGYwMjH4mJiTh79iyePHmSJ4dD7nkP+SWZ/vvvvzA3Ny/Tf9nketes8rI8KczExATHjh1Dq1atlI6fPXsWjo6OSExMVE9hhVDcPRhv7yxaoUIFXLp0Se2hdO8Ke1NHJpImMTMzE1fVkObiJE8V9u3bB1dXV6SkpMDY2FjpNwiFQiF7AyP3t5a3Xbx4kcmB/68sNyDeJTs7W2Vkva6urlpD7F6/fo3Q0FDcvn0bAwYMQIUKFfDo0SMYGxvDyMgIAMTNr4qLIAgYPHgw9PX1AQBpaWkYOXJkniEJucPOynoD4l2+/fZbrFmzBnPnzlV3KVQA9mCoUL9+fXTv3h1z5sxR62qEihUrQqFQICkpKU9DJysrCykpKRg5ciRWrFihthrVibPKC6dXr15ITEzE77//Ls4hevjwIVxdXVGxYkXs2rVL9ppiYmLQrVs3xMbGIj09HTdu3ECdOnUwevRopKeny7Ysc8iQIYW6Tu6VOCdPnizwfFlPCx01ahQ2bNiAevXqqZyjIkfaLL0bGxgqGBoaIioqqtg393mX9evXQxAEDB06FEuWLFHaz0BPTw+1a9cWV7mURZxVXjj3799Hz549cfnyZVhaWorHPv74Y+zdu1ctOTu5oXRr1qxB5cqVxWGQ0NBQDB8+HDdv3pS9Jk2S35yiXGX5zzOQkxCcH4VCIWtCMOWPQyQqODk54fz582pvYLi5uQHIydlo166dym7usuzN7n11dvVrOktLS1y4cAHHjh1TWhXl4OCgtpr+/PNPnD59Gnp6ekrHa9euLftOuZro+fPnSl9nZmbin3/+weTJkzF79mw1VaU5Tpw4oe4SqBDYwPh/b3axu7i4YOzYsbhy5QoaN26c58Eud3f7m+OxaWlpYghSrrK+ZC07OxtBQUHYuXMn7t27B4VCgTp16qBPnz4YOHCgWpcbqtPx48fh5eWFv//+G8bGxujatSu6du0KAEhKSkKjRo0QGBgo+74uQM6/M1W/hT948AAVKlSQvR5N8/buqwDQtWtX6OnpwcfHBxEREWqoSnMkJSUhKysrzxy0hIQE6OjolPm/EzUFh0j+X2ETUtXR3f7y5UuMGzcO27Ztw7///pvnfFnuLhUEAT169MDBgwfRtGlTNGzYEIIg4OrVq4iKikLPnj2xe/dudZepFj179kTnzp3z3Yly6dKlOHHihFrmYPTt2xcmJiZYtWqVuHLDzMwMvXr1gpWVFXcfzce1a9fQsmVLMeW5rHJ2dkaPHj3w/fffKx0PDAzE3r17cfDgQTVVRkpki1Wj9/b9998LNjY2wo4dO4Ty5csLa9euFWbOnCnUrFlT2Lhxo7rLU6u1a9cKFSpUEI4fP57nXEhIiFChQgVh/fr1aqhM/aysrIQrV67ke/7q1auCpaWljBX95/79+4Ktra1gY2Mj6OjoCG3bthUqV64sNGjQQIiPj1dLTZokN8U59xUZGSkcOnRI+PTTT4X27duruzy1q1ixoso/21evXhUqVaqkhopIFTYw3nD69Glh3759SsfWr18v1K5dWzAzMxOGDx8uS3T02ywtLYUTJ04IgiAIFSpUEG7evCkIQk7ctrOzs+z1aJKuXbsK/v7++Z6fPXu24OjoKGNFmkNfX1/8s6LKzZs3hXLlyslYkbLMzExh48aNwtixYwUPDw9h9erVwsuXL9VWjyZ5M3L8zZe9vb1w9epVdZendgYGBsKlS5fyHL906ZJQvnx5NVREqnAOxhumT5+Ozp074/PPPwcAREVFwd3dHYMHD4aNjQ0WLFgACwsLTJs2Tda6EhISxAmnxsbGYqJrhw4d4OHhIWstmubSpUuYP39+vuednZ3zhNaVFTVq1EB0dDTq1q2r8vylS5dkjyF/k46ODlxdXeHq6qq2GjTV3bt3lb7W0tKCmZkZypUrp6aKNEvr1q2xatUqLFu2TOl4YGAg7Ozs1FQVvY0NjDdcvHgRs2bNEr/esmUL2rRpg9WrVwPImY0/depU2RsYderUwd27d2FlZYWGDRti27ZtaN26Nfbt21fm0xYTEhJQtWrVfM9XrVo1z4z8sqJ79+6YPHkyunXrlufB9OrVK0ydOlVsTMtt/fr1qFKlClxcXAAA48aNw6pVq2Bra4vff/+9TG+clp2djZCQEKVJy9bW1vjqq6/K9KTlN82aNQsODg64ePGiGAgXEhKCc+fO4ciRI2qujnJxkucbypUrh5s3b4p7BXTo0AHOzs6YOHEiAODevXto3Lhxse8u+LbFixdDW1sbP/zwA44dO4YePXpAEARkZGRg8eLFGD16tKz1aJK3t3p+W3x8PCwsLMrkRNj4+Hi0aNEC2tra8PLyQoMGDQDkTBRcsWIFsrKycOHChQIbaMWlQYMGWLlyJT777DOEh4ejS5cuWLJkCfbv3w8dHR3Zd87UFAInLRdaZGQkFixYgMjISJQvXx5NmjSBn58ftw/XIGxgvKFWrVr47bff0LFjR2RkZMDU1BT79u0TW8hRUVH49NNPxSEKdYmJiUFERATq1aun9lAmddPS0oKzs7O41fPb0tPTERwcXCYbGEDOnxUPDw8cPnwYuf+pKxQKODk5YcWKFWrL3DAwMMC1a9dgZWUFX19fPH78GBs2bMDly5fRqVMnPH36VC11qdu6deswevRo7NmzJ89mUsePH0fv3r2xfPly2eMKiN5H4dZmlhHdu3fH+PHj8eeff8LPzw8GBgZKewRcunQJH330kWz1HD9+HLa2tkhOTlY6XqtWLXTp0gX9+vXDn3/+KVs9msjNzQ3m5uYwMTFR+TI3Ny/TfxnXqlULBw8exLNnz3DmzBn8/fffePbsGQ4ePKjWQC8jIyNxyfWRI0fE/TnKlSuHV69eqa0udfv9998xYcIElTtVfvbZZxg/fjw2bdqkhso0y4ULFxAVFSV+vWfPHvTu3RsTJkzIs08QqZH65pdqnqdPnwqffPKJoFAohAoVKgg7d+5UOv/ZZ58JEyZMkK2eHj16CIsWLcr3fEBAgNC7d2/Z6iGSyoABA4QWLVoI7u7ugoGBgfDs2TNBEARhz549QqNGjdRcnfpUrVpV+Oeff/I9f+HCBaFq1aryFaShWrZsKezYsUMQBEG4ffu2oK+vL/Tv31+oW7euMHr0aPUWRyIOkaiQlJQEIyMjaGtrKx1PSEiAkZFRnu2Ni0utWrUQHBwMGxsbleevXbsGR0dHxMbGylIPkVQSExMxadIk3L9/Hx4eHujWrRsAYOrUqdDT0xPnPZU1enp6iImJyXd1z6NHj2BtbY309HSZK9MsJiYmuHDhAj766CPMmzcPx48fx+HDh/HXX3+hX79+uH//vrpLJHAViUqqtukFIHs0enx8fIH5Izo6OmV2rJpKNlNTUyxfvjzP8enTp6uhGs2RlZUFHZ38/1rW1tbG69evZaxIMwmCIOYPHTt2TFwNZWlpiWfPnqmzNHoDGxgaTNP3MSD6UC9fvkRsbGyecfMmTZqoqSL1EgQBgwcPLnDSMgEtW7YUl6qGhYVh5cqVAHL2D1HHqihSjQ0MDabJ+xgQfYinT59i8ODBCA4OVnm+rK76yU1QLkhZnrSca8mSJXB1dcXu3bsxceJE8ZewHTt2oF27dmqujnJxDoYG0+R9DIg+hKurK2JiYrBkyRJ06tQJu3btQnx8PGbNmoWFCxeKG3ARFUVaWhq0tbULHFom+bCBoeE0dR8Dog9RvXp17NmzB61bt4axsTHOnz+P+vXrY+/evZg/fz5OnTql7hJJwyUmJmLHjh24ffs2xo4di0qVKom/cNWoUUPd5RE4RKLxcvcxeP78OW7dugVBEFCvXj1UrFhR3aURvbfU1FSYm5sDACpWrIinT5+ifv36aNy4MS5cuKDm6kjTXbp0CV26dIGpqSnu3buH4cOHo1KlSti5cydiY2OxYcMGdZdI4EZbJUbFihXRqlUrtG7dmo0LKvEaNGiA69evAwCaNm2KX3/9FQ8fPkRgYCAnLtM7+fj4YMiQIbh586bS/LTu3bvj5MmTaqyM3sQeDCKS3ejRo/H48WMAOXtfdOvWDZs2bYKenh6CgoLUWxxpvHPnzuHXX3/Nc7xGjRqIi4tTQ0WkChsYRCS7b7/9VvxnOzs7xMTEiNkkVapUUWNlVBLo6+vniVAAgBs3buQbfEjy4xAJEalNRkYGrl+/Dj09PbRo0YKNCyqUnj17YsaMGcjMzASQM/E9NjYWvr6+6NOnj5qro1xsYBCR7F6+fAl3d3cYGBigUaNG4nb3o0aNwty5c9VcHWm6hQsXIiUlBWZmZnj16hU+/fRT1K1bFxUqVMDs2bPVXR79PzYwiEh2fn5+uHjxIkJDQ5Um6Tk4OGDr1q1qrIxKAhMTExw9ehQHDhzA0qVL4eXlhYMHDyIsLAyGhobqLo/+H+dgEJHsdu/eja1bt6Jt27ZQKBTi8UaNGuH27dtqrIw0XXZ2NoKCgrBz507cu3cPCoUC1tbWqFatGgRBUPrzROrFHgwikt3Tp0/FfTDelJqaygcE5UsQBPTs2RPDhg3Dw4cP0bhxYzRq1AgxMTEYPHgwvvjiC3WXSG9gA4OIZNeyZUscOHBA/Dq3UfG///0P9vb26iqLNFxQUBBOnjyJkJAQ/PPPP/j999+xZcsWXLx4EceOHcPx48e5yZYG4VbhRCS7U6dOwdnZGd9++y2CgoLw3Xff4cqVKzh9+jTCwsJgZ2en7hJJAzk6OuKzzz7D+PHjVZ6fM2cOwsLCcPjwYZkrI1XYg0FEsuvQoQMiIyPx+vVrNG7cGEeOHIG5uTnCw8PZuKB8Xbp0Cd26dcv3vLOzMy5evChjRVQQ9mAQEVGJoKenh5iYmHy3k3/06BGsra2Rnp4uc2WkCleREJEsVO28mB9jY+NirIRKqqysLOjo5P/Y0tbWxuvXr2WsiArCBgYRycLU1PSdK0RylxlmZWXJVBWVJIIgYPDgwdDX11d5nj0XmoUNDCKSxYkTJ9RdApVwbm5u77xm0KBBMlRChcE5GERERCQ5riIhIrX4888/8e2336Jdu3Z4+PAhAOC3337DqVOn1FwZEUmBDQwikt0ff/wBJycnlC9fHhcuXBDHzpOSkjBnzhw1V0dEUmADg4hkN2vWLAQGBmL16tXQ1dUVj7dv3x4XLlxQY2VEJBU2MIhIdtevX0fHjh3zHDcxMUFiYqL8BRGR5NjAICLZVatWDbdu3cpz/NSpU6hTp44aKiIiqbGBQUSyGz58OEaPHo0zZ85AoVDg0aNH2LRpE3788Ud4eHiouzwikgD3wSAi2Y0fPx7Z2dno0qULXr58iY4dO0JfXx9jx47FsGHD1F0eEUmAPRhEJDuFQoGJEyciISEB0dHR+Pvvv/H06VOYmJjA2tpa3eURkQTYwCAi2aSnp8PPzw8tW7ZE+/btcfDgQdja2uLy5cto0KABAgIC4O3tre4yiUgC3MmTiGTj6+uLX3/9FQ4ODjh9+jSePn2KIUOG4O+//8aECRPw9ddfQ1tbW91lEpEEOAeDiGSzfft2bNiwAT179kR0dDSaNGmC169f4+LFi+8MQiOikoU9GEQkGz09Pdy9exc1atQAAJQvXx5nz55F48aN1VwZEUmNczCISDZZWVnQ09MTv9bR0YGRkZEaKyKi4sIhEiKSjSAIGDx4MPT19QEAaWlpGDlyJAwNDZWu27lzpzrKIyIJsYFBRLJxc3NT+vrbb79VUyVEVNw4B4OIiIgkxzkYREREJDk2MIiIiEhybGAQERGR5NjAICIiIsmxgUFERESSYwODiIiIJMcGBhEREUnu/wBzz4G0NLRTYQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.isnull())                                               # Using heat-map to show null values count"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.1. For 'House of Cards', what is the Show Id and Who is the Director of this show ?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### isin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Movie</td>\n",
       "      <td>9</td>\n",
       "      <td>Shane Acker</td>\n",
       "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 16, 2017</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
       "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "2      s3    Movie  23:59       Gilbert Chan   \n",
       "3      s4    Movie      9        Shane Acker   \n",
       "4      s5    Movie     21     Robert Luketic   \n",
       "\n",
       "                                                Cast        Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...         Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...         Mexico   \n",
       "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...      Singapore   \n",
       "3  Elijah Wood, John C. Reilly, Jennifer Connelly...  United States   \n",
       "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "2  December 20, 2018      R     78 min   \n",
       "3  November 16, 2017  PG-13     80 min   \n",
       "4    January 1, 2020  PG-13    123 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "2                Horror Movies, International Movies   \n",
       "3  Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4                                             Dramas   \n",
       "\n",
       "                                         Description  \n",
       "0  In a future where the elite inhabit an island ...  \n",
       "1  After a devastating earthquake hits Mexico Cit...  \n",
       "2  When an army recruit is found dead, his fellow...  \n",
       "3  In a postapocalyptic world, rag-doll robots hi...  \n",
       "4  A brilliant group of students become card-coun...  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2832</th>\n",
       "      <td>s2833</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>House of Cards</td>\n",
       "      <td>Robin Wright, David Fincher, Gerald McRaney, J...</td>\n",
       "      <td>Kevin Spacey, Robin Wright, Kate Mara, Corey S...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 2, 2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>6 Seasons</td>\n",
       "      <td>TV Dramas, TV Thrillers</td>\n",
       "      <td>A ruthless politician will stop at nothing to ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category           Title   \n",
       "2832   s2833  TV Show  House of Cards  \\\n",
       "\n",
       "                                               Director   \n",
       "2832  Robin Wright, David Fincher, Gerald McRaney, J...  \\\n",
       "\n",
       "                                                   Cast        Country   \n",
       "2832  Kevin Spacey, Robin Wright, Kate Mara, Corey S...  United States  \\\n",
       "\n",
       "          Release_Date Rating   Duration                     Type   \n",
       "2832  November 2, 2018  TV-MA  6 Seasons  TV Dramas, TV Thrillers  \\\n",
       "\n",
       "                                            Description  \n",
       "2832  A ruthless politician will stop at nothing to ...  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['Title'].isin(['House of Cards'])]       #  To show all records of a particular item in any column"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### str.contains()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2832</th>\n",
       "      <td>s2833</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>House of Cards</td>\n",
       "      <td>Robin Wright, David Fincher, Gerald McRaney, J...</td>\n",
       "      <td>Kevin Spacey, Robin Wright, Kate Mara, Corey S...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 2, 2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>6 Seasons</td>\n",
       "      <td>TV Dramas, TV Thrillers</td>\n",
       "      <td>A ruthless politician will stop at nothing to ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category           Title   \n",
       "2832   s2833  TV Show  House of Cards  \\\n",
       "\n",
       "                                               Director   \n",
       "2832  Robin Wright, David Fincher, Gerald McRaney, J...  \\\n",
       "\n",
       "                                                   Cast        Country   \n",
       "2832  Kevin Spacey, Robin Wright, Kate Mara, Corey S...  United States  \\\n",
       "\n",
       "          Release_Date Rating   Duration                     Type   \n",
       "2832  November 2, 2018  TV-MA  6 Seasons  TV Dramas, TV Thrillers  \\\n",
       "\n",
       "                                            Description  \n",
       "2832  A ruthless politician will stop at nothing to ...  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['Title'].str.contains('House of Cards')]          #  To show all records of a particular string in any column"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.2. In which year highest number of the TV Shows & Movies were released ? Show with Bar Graph."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Show_Id         object\n",
       "Category        object\n",
       "Title           object\n",
       "Director        object\n",
       "Cast            object\n",
       "Country         object\n",
       "Release_Date    object\n",
       "Rating          object\n",
       "Duration        object\n",
       "Type            object\n",
       "Description     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### to_datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Date_N'] = pd.to_datetime(data['Release_Date'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "      <td>2018-12-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Movie</td>\n",
       "      <td>9</td>\n",
       "      <td>Shane Acker</td>\n",
       "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 16, 2017</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>80 min</td>\n",
       "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
       "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
       "      <td>2017-11-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
       "      <td>2020-01-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "2      s3    Movie  23:59       Gilbert Chan   \n",
       "3      s4    Movie      9        Shane Acker   \n",
       "4      s5    Movie     21     Robert Luketic   \n",
       "\n",
       "                                                Cast        Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...         Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...         Mexico   \n",
       "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...      Singapore   \n",
       "3  Elijah Wood, John C. Reilly, Jennifer Connelly...  United States   \n",
       "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "2  December 20, 2018      R     78 min   \n",
       "3  November 16, 2017  PG-13     80 min   \n",
       "4    January 1, 2020  PG-13    123 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "2                Horror Movies, International Movies   \n",
       "3  Action & Adventure, Independent Movies, Sci-Fi...   \n",
       "4                                             Dramas   \n",
       "\n",
       "                                         Description     Date_N  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  \n",
       "2  When an army recruit is found dead, his fellow... 2018-12-20  \n",
       "3  In a postapocalyptic world, rag-doll robots hi... 2017-11-16  \n",
       "4  A brilliant group of students become card-coun... 2020-01-01  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Show_Id                 object\n",
       "Category                object\n",
       "Title                   object\n",
       "Director                object\n",
       "Cast                    object\n",
       "Country                 object\n",
       "Release_Date            object\n",
       "Rating                  object\n",
       "Duration                object\n",
       "Type                    object\n",
       "Description             object\n",
       "Date_N          datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dt.year.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date_N\n",
       "2019.0    2136\n",
       "2020.0    2008\n",
       "2018.0    1661\n",
       "2017.0    1201\n",
       "2016.0     432\n",
       "2021.0     117\n",
       "2015.0      79\n",
       "2014.0      24\n",
       "2011.0      13\n",
       "2013.0      10\n",
       "2012.0       3\n",
       "2008.0       2\n",
       "2009.0       2\n",
       "2010.0       1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Date_N'].dt.year.value_counts()                # It counts the occurrence of all individual Years in Date column."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date_N'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AdigwAADAdigwAADAdigwAADAdigwAADAdigwAADAdigwAADAdigwAADAdigwAADAdigwAADAdigwAADAdqpdYLZs2aKBAwcqNjZWDodDb7zxhmesrKxMEydOVGJiourXr6/Y2Filp6fr4MGDXvto2rSpHA6H1zJ9+nSvOTt37lSPHj0UFBSkuLg4zZgx4+IeIQAAuORUu8CcOHFC7dq105w5c84ZO3nypD766CP94Q9/0EcffaTly5eroKBAN9100zlzp02bpkOHDnmWBx54wDPmdruVkpKi+Ph45ebmaubMmZo6dapeeuml6sYFAACXoIDq3qB///7q37//ecfCwsK0bt06r20vvPCCOnfurMLCQjVp0sSzPSQkRC6X67z7Wbx4sU6fPq158+bJ6XSqdevWysvL06xZs3TfffdVNzIAALjE1Po1MCUlJXI4HAoPD/faPn36dEVGRqpDhw6aOXOmysvLPWM5OTlKTk6W0+n0bEtNTVVBQYG+++67895PaWmp3G631wIAAC5N1T4DUx2nTp3SxIkTdccddyg0NNSz/Xe/+52uueYaRUREaOvWrcrKytKhQ4c0a9YsSVJRUZGaNWvmta/o6GjPWMOGDc+5r+zsbD322GO1+GgAAIBV1FqBKSsr02233SZjjObOnes1Nn78eM+f27ZtK6fTqd/85jfKzs5WYGDgRd1fVlaW137dbrfi4uIuLjwAALC0WikwZ8rLl19+qY0bN3qdfTmfLl26qLy8XAcOHFCLFi3kcrlUXFzsNefMelXXzQQGBl50+QEAAPZS49fAnCkv+/bt0/r16xUZGfmjt8nLy5Ofn5+ioqIkSUlJSdqyZYvKyso8c9atW6cWLVqc9+UjAADwy1LtMzDHjx/XZ5995lnfv3+/8vLyFBERoZiYGP3617/WRx99pBUrVqiiokJFRUWSpIiICDmdTuXk5Gj79u3q1auXQkJClJOTo3HjxmnEiBGecjJs2DA99thjysjI0MSJE7V7924999xzeuaZZ2roYQMAADurdoHZsWOHevXq5Vk/c93JyJEjNXXqVP3rX/+SJLVv397rdps2bVLPnj0VGBiopUuXaurUqSotLVWzZs00btw4r+tXwsLCtHbtWmVmZqpjx45q1KiRpkyZwluoAQCApIsoMD179pQxpsrxC41J0jXXXKNt27b96P20bdtW7777bnXjAQCAXwC+CwkAANhOrX4ODFBTmk5aWSP7OTA9rUb2AwCoW5yBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtlPtArNlyxYNHDhQsbGxcjgceuONN7zGjTGaMmWKYmJidNlll6lv377at2+f15xvv/1Ww4cPV2hoqMLDw5WRkaHjx497zdm5c6d69OihoKAgxcXFacaMGdV/dAAA4JJU7QJz4sQJtWvXTnPmzDnv+IwZM/T888/rxRdf1Pbt21W/fn2lpqbq1KlTnjnDhw/Xnj17tG7dOq1YsUJbtmzRfffd5xl3u91KSUlRfHy8cnNzNXPmTE2dOlUvvfTSRTxEAABwqQmo7g369++v/v37n3fMGKNnn31WkydP1s033yxJWrhwoaKjo/XGG29o6NCh+uSTT7R69Wp9+OGHuvbaayVJs2fP1oABA/TUU08pNjZWixcv1unTpzVv3jw5nU61bt1aeXl5mjVrllfRAQAAv0w1eg3M/v37VVRUpL59+3q2hYWFqUuXLsrJyZEk5eTkKDw83FNeJKlv377y8/PT9u3bPXOSk5PldDo9c1JTU1VQUKDvvvuuJiMDAAAbqvYZmAspKiqSJEVHR3ttj46O9owVFRUpKirKO0RAgCIiIrzmNGvW7Jx9nBlr2LDhOfddWlqq0tJSz7rb7f6ZjwYAAFjVJfMupOzsbIWFhXmWuLi4uo4EAABqSY0WGJfLJUkqLi722l5cXOwZc7lcOnz4sNd4eXm5vv32W68559vH2ffxv7KyslRSUuJZvvrqq5//gAAAgCXVaIFp1qyZXC6XNmzY4Nnmdru1fft2JSUlSZKSkpJ09OhR5ebmeuZs3LhRlZWV6tKli2fOli1bVFZW5pmzbt06tWjR4rwvH0lSYGCgQkNDvRYAAHBpqnaBOX78uPLy8pSXlyfphwt38/LyVFhYKIfDobFjx+pPf/qT/vWvf2nXrl1KT09XbGysBg0aJElq1aqV+vXrp1GjRumDDz7Q+++/rzFjxmjo0KGKjY2VJA0bNkxOp1MZGRnas2ePli1bpueee07jx4+vsQcOAADsq9oX8e7YsUO9evXyrJ8pFSNHjtSCBQv08MMP68SJE7rvvvt09OhRde/eXatXr1ZQUJDnNosXL9aYMWPUp08f+fn5aciQIXr++ec942FhYVq7dq0yMzPVsWNHNWrUSFOmTOEt1AAAQNJFFJiePXvKGFPluMPh0LRp0zRt2rQq50RERGjJkiUXvJ+2bdvq3XffrW48AADwC3DJvAsJAAD8clBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7VBgAACA7dR4gWnatKkcDsc5S2ZmpiSpZ8+e54yNHj3aax+FhYVKS0tTcHCwoqKiNGHCBJWXl9d0VAAAYFMBNb3DDz/8UBUVFZ713bt364YbbtCtt97q2TZq1ChNmzbNsx4cHOz5c0VFhdLS0uRyubR161YdOnRI6enpqlevnp544omajgsAAGyoxgtM48aNvdanT5+uq666Stdff71nW3BwsFwu13lvv3btWuXn52v9+vWKjo5W+/bt9cc//lETJ07U1KlT5XQ6azoyAACwmVq9Bub06dNatGiR7rnnHjkcDs/2xYsXq1GjRmrTpo2ysrJ08uRJz1hOTo4SExMVHR3t2Zaamiq32609e/ZUeV+lpaVyu91eCwAAuDTV+BmYs73xxhs6evSo7rrrLs+2YcOGKT4+XrGxsdq5c6cmTpyogoICLV++XJJUVFTkVV4kedaLioqqvK/s7Gw99thjNf8gAACA5dRqgXn55ZfVv39/xcbGerbdd999nj8nJiYqJiZGffr00eeff66rrrrqou8rKytL48eP96y73W7FxcVd9P4AAIB11VqB+fLLL7V+/XrPmZWqdOnSRZL02Wef6aqrrpLL5dIHH3zgNae4uFiSqrxuRpICAwMVGBj4M1MDAAA7qLVrYObPn6+oqCilpaVdcF5eXp4kKSYmRpKUlJSkXbt26fDhw54569atU2hoqBISEmorLgAAsJFaOQNTWVmp+fPna+TIkQoI+L+7+Pzzz7VkyRINGDBAkZGR2rlzp8aNG6fk5GS1bdtWkpSSkqKEhATdeeedmjFjhoqKijR58mRlZmZyhgUAAEiqpQKzfv16FRYW6p577vHa7nQ6tX79ej377LM6ceKE4uLiNGTIEE2ePNkzx9/fXytWrND999+vpKQk1a9fXyNHjvT63BgAAPDLVisFJiUlRcaYc7bHxcVp8+bNP3r7+Ph4rVq1qjaiAQCASwDfhQQAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGyHAgMAAGynxgvM1KlT5XA4vJaWLVt6xk+dOqXMzExFRkaqQYMGGjJkiIqLi732UVhYqLS0NAUHBysqKkoTJkxQeXl5TUcFAAA2FVAbO23durXWr1//f3cS8H93M27cOK1cuVKvvfaawsLCNGbMGN1yyy16//33JUkVFRVKS0uTy+XS1q1bdejQIaWnp6tevXp64oknaiMuAACwmVopMAEBAXK5XOdsLykp0csvv6wlS5aod+/ekqT58+erVatW2rZtm7p27aq1a9cqPz9f69evV3R0tNq3b68//vGPmjhxoqZOnSqn01kbkQEAgI3UyjUw+/btU2xsrK688koNHz5chYWFkqTc3FyVlZWpb9++nrktW7ZUkyZNlJOTI0nKyclRYmKioqOjPXNSU1Pldru1Z8+eKu+ztLRUbrfbawEAAJemGi8wXbp00YIFC7R69WrNnTtX+/fvV48ePXTs2DEVFRXJ6XQqPDzc6zbR0dEqKiqSJBUVFXmVlzPjZ8aqkp2drbCwMM8SFxdXsw8MAABYRo2/hNS/f3/Pn9u2basuXbooPj5er776qi677LKavjuPrKwsjR8/3rPudrspMQAAXKJq/W3U4eHhat68uT777DO5XC6dPn1aR48e9ZpTXFzsuWbG5XKd866kM+vnu67mjMDAQIWGhnotAADg0lTrBeb48eP6/PPPFRMTo44dO6pevXrasGGDZ7ygoECFhYVKSkqSJCUlJWnXrl06fPiwZ866desUGhqqhISE2o4LAABsoMZfQnrooYc0cOBAxcfH6+DBg3r00Ufl7++vO+64Q2FhYcrIyND48eMVERGh0NBQPfDAA0pKSlLXrl0lSSkpKUpISNCdd96pGTNmqKioSJMnT1ZmZqYCAwNrOi4AALChGi8wX3/9te644w598803aty4sbp3765t27apcePGkqRnnnlGfn5+GjJkiEpLS5Wamqo///nPntv7+/trxYoVuv/++5WUlKT69etr5MiRmjZtWk1HBQAANlXjBWbp0qUXHA8KCtKcOXM0Z86cKufEx8dr1apVNR0NAABcIvguJAAAYDsUGAAAYDsUGAAAYDsUGAAAYDu18mWOwKWs6aSVNbKfA9PTamQ/APBLxBkYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOxQYAABgOzVeYLKzs9WpUyeFhIQoKipKgwYNUkFBgdecnj17yuFweC2jR4/2mlNYWKi0tDQFBwcrKipKEyZMUHl5eU3HBQAANhRQ0zvcvHmzMjMz1alTJ5WXl+v3v/+9UlJSlJ+fr/r163vmjRo1StOmTfOsBwcHe/5cUVGhtLQ0uVwubd26VYcOHVJ6errq1aunJ554oqYjAwAAm6nxArN69Wqv9QULFigqKkq5ublKTk72bA8ODpbL5TrvPtauXav8/HytX79e0dHRat++vf74xz9q4sSJmjp1qpxOZ03HBgAANlLr18CUlJRIkiIiIry2L168WI0aNVKbNm2UlZWlkydPesZycnKUmJio6Ohoz7bU1FS53W7t2bPnvPdTWloqt9vttQAAgEtTjZ+BOVtlZaXGjh2r6667Tm3atPFsHzZsmOLj4xUbG6udO3dq4sSJKigo0PLlyyVJRUVFXuVFkme9qKjovPeVnZ2txx57rJYeCQAAsJJaLTCZmZnavXu33nvvPa/t9913n+fPiYmJiomJUZ8+ffT555/rqquuuqj7ysrK0vjx4z3rbrdbcXFxFxccAABYWq29hDRmzBitWLFCmzZt0hVXXHHBuV26dJEkffbZZ5Ikl8ul4uJirzln1qu6biYwMFChoaFeCwAAuDTVeIExxmjMmDF6/fXXtXHjRjVr1uxHb5OXlydJiomJkSQlJSVp165dOnz4sGfOunXrFBoaqoSEhJqODAAAbKbGX0LKzMzUkiVL9OabbyokJMRzzUpYWJguu+wyff7551qyZIkGDBigyMhI7dy5U+PGjVNycrLatm0rSUpJSVFCQoLuvPNOzZgxQ0VFRZo8ebIyMzMVGBhY05EBAIDN1PgZmLlz56qkpEQ9e/ZUTEyMZ1m2bJkkyel0av369UpJSVHLli314IMPasiQIXrrrbc8+/D399eKFSvk7++vpKQkjRgxQunp6V6fGwMAAH65avwMjDHmguNxcXHavHnzj+4nPj5eq1atqqlYAADgEsJ3IQEAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANuhwAAAANsJqOsAAH6eppNW1sh+DkxPq5H9AIAvcAYGAADYDgUGAADYDgUGAADYDgUGAADYDgUGAADYDu9CAlBjeEcUAF/hDAwAALAdCgwAALAdCgwAALAdCgwAALAdCgwAALAdCgwAALAdCgwAALAdCgwAALAdS3+Q3Zw5czRz5kwVFRWpXbt2mj17tjp37lzXsQDYRE18sB4fqgdYk2XPwCxbtkzjx4/Xo48+qo8++kjt2rVTamqqDh8+XNfRAABAHbPsGZhZs2Zp1KhRuvvuuyVJL774olauXKl58+Zp0qRJdZwOAKqHr1kAapYlC8zp06eVm5urrKwszzY/Pz/17dtXOTk5571NaWmpSktLPeslJSWSJLfbfcH7qiw9+bPz/th9/FQ1kUWyVh4rZZFqJo+VskjWymOlLBLP4Qtp8+ian72P3Y+l1kASwNuZ57gx5sITjQX95z//MZLM1q1bvbZPmDDBdO7c+by3efTRR40kFhYWFhYWlktg+eqrry7YFSx5BuZiZGVlafz48Z71yspKffvtt4qMjJTD4bjo/brdbsXFxemrr75SaGhoTUQlyyWex0pZrJbHSlmslocs9shjpSxWy1NTWYwxOnbsmGJjYy84z5IFplGjRvL391dxcbHX9uLiYrlcrvPeJjAwUIGBgV7bwsPDayxTaGhonT85ziBL1ayUx0pZJGvlsVIWyVp5yFI1K+WxUhbJWnlqIktYWNiPzrHku5CcTqc6duyoDRs2eLZVVlZqw4YNSkpKqsNkAADACix5BkaSxo8fr5EjR+raa69V586d9eyzz+rEiROedyUBAIBfLssWmNtvv11HjhzRlClTVFRUpPbt22v16tWKjo72aY7AwEA9+uij57w8VRfIUjUr5bFSFslaeayURbJWHrJUzUp5rJRFslYeX2dxGPNj71MCAACwFkteAwMAAHAhFBgAAGA7FBgAAGA7FBgAAGA7FBgAAGA7ln0bNf5PSUmJioqKJEkul+snfUIhAACXMgrMeRQVFWn79u1epaFLly5Vfo1Bbfnb3/6mWbNmqaCgwGt7ixYt9OCDDyojI8OneaxyXM4oLy/Xnj17vPIkJCSoXr16Ps/CsbFHFqvlsdLzxkrHxWp5rJTFannqNEvNfH/0peH48eNm+PDhxt/f3wQEBJioqCgTFRVlAgICjL+/vxkxYoQ5ceKET7LMmDHDBAcHm0mTJplNmzaZ/Px8k5+fbzZt2mSysrJM/fr1zcyZM32SxUrHxRhjKioqzCOPPGLCw8ONw+HwWsLDw83kyZNNRUWFT7JwbOyRxWp5rPS8sdJxsVoeK2WxWh4rZKHAnCUjI8P86le/MqtXrzbl5eWe7eXl5WbNmjWmefPm5t577/VJliZNmphly5ZVOb506VITFxfnkyxWOi7GGDNhwgTTuHFj8+KLL5r9+/ebkydPmpMnT5r9+/ebv/zlLyYqKso8/PDDPsnCsbFHFqvlsdLzxkrHxWp5rJTFanmskIUCc5bw8HDz/vvvVzn+3nvvmfDwcJ9kCQoKMvn5+VWO79mzx1x22WU+yWKl42KMMdHR0Wb16tVVjq9evdpERUX5JAvHxh5ZrJbHSs8bKx0Xq+WxUhar5bFCFt6FdJbKyko5nc4qx51OpyorK32SpVOnTpo+fbrKy8vPGauoqNCTTz6pTp06+SSLlY6LJB07dkyxsbFVjsfExOjEiRM+ycKxsUcWq+Wx0vPGSsfFanmslMVqeSyRpVbrkc0MGzbMdOjQwXz00UfnjH300UemY8eOZvjw4T7J8vHHHxuXy2UiIyPN4MGDzejRo83o0aPN4MGDTWRkpImJiTG7du3ySRYrHRdjjBkwYIBJSUkxR44cOWfsyJEjpl+/fiYtLc0nWTg29shitTxWet5Y6bhYLY+VslgtjxWy8GWOZ/nuu+80bNgwrVmzRg0bNlRUVJQk6fDhwzp69KhSU1O1ZMkShYeH+yTPsWPHtGjRIm3bts3rCu+kpCQNGzZMoaGhPslhtePy1VdfacCAAdq7d68SExM931BeXFysXbt2KSEhQStWrFBcXFytZ+HY2COL1fJY6XljpeNitTxWymK1PFbIQoE5j7179yonJ+ec0tCyZcs6Tla3rHRcKisrtWbNmvOWu5SUFPn5+fbVUY6N9bNYMY9VnjdWOy5WymOlLFbLU9dZKDAAAMB2uIi3Gg4dOqTCwsK6jiFJ6tu3r6688sq6jiHJWsfFajg2uBg8b4AfR4Gpht69e6tZs2Z1HUOSNHjwYI0cObKuY0iy1nGRpFatWsnf37+uY0ji2FyIlbJI1spjpeeNlY6LZK08VsoiWSuPL7LwVQLVsHDhQp08ebKuY0iSMjMz6zqCh5WOiyRlZ2erpKSkrmNI4thciJWySNbKY6XnjZWOi2StPFbKIlkrjy+ycA2MTZSWlkqSAgMD6zgJAAB1j5eQqlBYWKjt27frww8/1DfffFMnGdatW6cBAwaoYcOGCg4OVnBwsBo2bKgBAwZo/fr1Ps9TUVHhtf7BBx9o27ZtnnKFH+zbt08bNmzQZ599VtdR8BMsWLDAMv9rtRJjzDl/5/GD4uJiz7tu6kpFRYWKi4t15MiROs0hSSUlJSooKFBBQYFv/y7V6qfM2NCcOXNMkyZNjJ+fn9dy3XXXmR07dvgsx4IFC0xAQIAZOnSomT9/vlm1apVZtWqVmT9/vrnjjjtMvXr1zMKFC32S5cCBA6Zjx47G39/f9OvXz5SUlJi+fft6vrjryiuvNAUFBT7JYowxDRo0MPfcc88FP4rdV5544gmzfv16Y4wx3377renTp4/nuPj5+Zl+/fqZ7777rm5DniU/P980a9bMJ/e1fft2r+/5eeutt0xycrKJjY01HTt2NK+88opPcvyYevXqXfBrO+pCXl6e8fPz88l9lZWVmUceecQkJyebKVOmGGP+78tknU6nSU9PN6WlpT7JcsbKlStNRkaGmTBhgvnkk0+8xr799lvTq1cvn+T45ptvzJAhQ0xcXJwZPXq0KS8vNxkZGZ6/30lJSebgwYM+yXLGihUrTI8ePUxgYKDn91NYWJgZMWKE+fLLL32a5a9//atp1arVOb8vW7VqZf72t7/V+v1TYM4yc+ZMExsba2bPnu35wUybNs28/fbb5s477zTBwcHmww8/9EmWX/3qV+aFF16ocnzOnDnm6quv9kmWIUOGmOuvv9689dZb5rbbbjPXXXed6dmzp/n666/NwYMHTWpqqhk0aJBPshhjjMPhMK1btzYOh8O0bNnSPPXUU+bw4cM+u/+zXXHFFZ5PU7333ns9n676/fffm7y8PNO1a1eTkZFRJ9nOx5e/GP38/ExxcbExxph//etfxs/Pz6Snp5s5c+aYe++91wQEBJjly5f7JIsxxjRs2PC8i8PhMGFhYZ51K8jLyzMOh8Mn9zV58mQTHR1txo8fbxISEszo0aNNXFycWbRokXnllVfM5Zdfbp588kmfZDHGmMWLFxt/f3+TlpZmunfvboKCgsyiRYs840VFRT57Dt9zzz2mTZs2Zvbs2eb66683N998s2nbtq157733zNatW02nTp1Menq6T7IYY8zChQtNSEiIefDBB80jjzxiXC6XmTRpkpk7d665/vrrTaNGjcynn37qkyxnSu6kSZPMpk2bTH5+vsnPzzebNm0yWVlZpn79+mbmzJm1moECc5amTZuaVatWedYLCgpMZGSkKSsrM8YY87vf/c7ccMMNPskSGBho9u7dW+X43r17TVBQkE+yNG7c2Pz73/82xhhz9OhR43A4zLvvvusZz83NNdHR0T7JYswPBaa4uNjk5eWZMWPGmIiICON0Os0tt9xiVq1aZSorK32WJTAw0Bw4cMAY88PzZ/PmzV7jO3bsMDExMT7LM27cuAsuI0aM8Nk//md+TsYY0717dzNp0iSv8ccff9x07drVJ1mM+eHMXVpamlmwYIFnmT9/vvH39zePP/64Z5svDB48+IJL7969ffZzuvLKK81bb71ljDFm3759xs/PzyxdutQzvmzZMtOmTRufZDHGmPbt25vnnnvO6/7r16/v+R+9LwtMTEyM50xvUVGRcTgcZu3atZ7x9957z1x++eU+yWKMMS1btvT62Xz44Yfmiiuu8Pybd/vtt5vBgwf7JEuTJk3MsmXLqhxfunSpiYuLq9UMvAvpLIcPH1arVq0867/61a9UUlKiI0eOKCYmRvfcc4+6d+/ukyytW7fWyy+/rBkzZpx3fN68eUpISPBJllOnTiksLEySFBISIn9/f4WEhHjGQ0ND6+QdE+3atdPs2bP11FNPafny5Xr55Zd14403KjY2VnfffbemTZtW6xni4+O1e/duxcfHy+FwKCDA+6+Uv7+/T7/s7bnnnlP79u2r/JqJ48eP+yzL2T799FM9++yzXtuGDBmimTNn+izDv//9bw0bNkwbN27UnDlz1KBBA0nSqFGjNGjQIJ/9fZKkt956SzfccIPn49f/ly+vPTl48KDatWsnSbr66qvldDo969IPXyz75Zdf+izPvn37NHDgQM/6bbfdpsaNG+umm25SWVmZBg8e7LMsJSUluvzyyyVJ0dHRCggIUExMjGc8NjZWR48e9VmeL7/8Ul26dPGsX3vttSoqKtKhQ4cUGxur8ePHKzU11SdZDh8+rMTExCrHExMT9d///rd2Q9RqPbKZ9u3bm5deesmzvmHDBhMcHOxpt3v37jUhISE+ybJp0yZTv359k5iYaMaNG2emT59upk+fbsaNG2fatm1rGjRocM7/9mtL165dzeTJk40xxsybN89ER0d7/W962rRppmPHjj7JYoz3SxP/a//+/Wby5Mm13vzPmDlzpmnVqpXZt2+fefrpp01SUpL57LPPjDHGfPHFF6Znz57m17/+tU+yGGNM8+bNzd///vcqx//973/79AzMpk2bzMcff2zi4+PNBx984DW+d+9e06BBA59kOaOsrMw8/PDD5qqrrjLvvfeeMcaYgIAAs2fPHp/mSExMvOA1Ar78OUVHR5udO3d61rt162a+/vprz/onn3xiQkNDfZLFmB/OeuTk5Jyz/Z133jENGjQwjzzyiM+OTbt27Twv5a9atcqEhISYp59+2jM+d+5cn56datWqlXnttdc867m5ucbpdHquNdu3b5+pX7++T7L06NHDpKene16hOFt5eblJT083ycnJtZqBAnOWZcuWmXr16pnbbrvNpKenmwYNGnj9on7xxRdNUlKSz/Ls37/fPPzwwyY5Odk0b97cNG/e3CQnJ5uJEyea/fv3+yzH6tWrTVBQkHE6nSYoKMhs3rzZNG/e3HTu3Nl07drV+Pv7X/BUYk07+6WJqvjyZaQHHnjA1KtXz7Rs2dIEBQUZPz8/43Q6jZ+fn7n22mvNoUOHfJZl2LBhZuzYsVWO+/LaijMXOp65qPmZZ57xGv/HP/5hEhISfJLlf23YsME0adLEZGVlmXr16vm8wNx1113mt7/9bZXj+fn5pmnTpj7J0qtXrwu+dPbqq6/69D8oN998s+di4v915j92viowixYtMv7+/ubqq682gYGB5rXXXjOxsbHmtttuM0OHDjVOp/OC1yrWtBdeeMGEhYWZhx9+2EyZMsXExsZ6XWO3aNEi06FDB59k+fjjj43L5TKRkZFm8ODBZvTo0Wb06NFm8ODBJjIy0sTExJhdu3bVagY+B+Z/vP3221q0aJFKS0uVmpqqUaNGecbOvJ06MjKyruLVmQMHDig3N1cdO3ZU06ZNVVxcrDlz5ujkyZNKS0tTr169fJblscce04QJExQcHOyz+/wxn3zyiVasWKEvvvhClZWViomJ0XXXXae+ffvK4XD4LEdRUZFKS0sVHx/vs/usyv++7NCgQQOvvzsLFy6UJKWnp/s01xnffPONRo0apU2bNmnbtm1q0aKFz+67tLRUFRUVlngOf/rpp6pXr16Vn/y7ZMkSBQQE6LbbbvNJns2bN2vr1q3Kyso67/imTZu0cOFCzZ8/3yd53n//fW3btk1JSUnq1q2b8vPzNX36dJ08eVIDBw70+Seiz5071+t31B/+8AcFBQVJ+uHlt4qKCp99GeixY8e0aNGi836Z47Bhw6p8KbumUGAAAIDt8EF21VBeXu7TL1j785//rL59++q2227Thg0bvMb++9//WubLHH19XH6MlfKUlZVZJovVWOnnJFkrD1mqVhd5ysvL9fHHH2vNmjVas2aNPv74Y5WVlfk0g5XznI9P/u2r1ReoLjG+/AyN5557zgQHB5vMzEwzYsQI43Q6zRNPPOEZ9+VbCX+ML4/LT2GlPHWRZc6cOaZPnz7m1ltv9XzI3hlHjhzx2QfZ/Rgr/ZyMsVYeslTNl3kqKirMI488YsLDwz3Xcp1ZwsPDzeTJk01FRYVPslgxz4X44ufEGRiL+stf/qK//vWveuGFF/T3v/9dmzZt0jPPPKMpU6bUdTRY2PPPP68JEyaoZcuWCgwM1IABA5Sdne0Zr6io8OlbYgE7mzRpkl566SVNnz5dX3zxhU6cOKETJ07oiy++0JNPPqmXXnqpymt1fgl56hrXwJzlmmuuueD4999/r08//dQnn9EQHBys/Px8NW3a1LNt9+7d6tu3r+6++26NHTtWsbGxPslipeNitTxWyiL98PlBjzzyiIYNGyZJ2rp1qwYNGqTRo0dr2rRpKi4u5nljgTxksUcel8ulV155pcrPVlmzZo3S09NVXFxc61mslscKPyc+yO4s+fn5Gjp0aJVX4x86dEiffvqpT7I0atRIX331lVeBadOmjTZu3KjevXvr4MGDPskhWeu4WC2PlbJI0v79+9WtWzfPerdu3bRx40b17dtXZWVlGjt2rM+yWO3YWCkPWeyR59ixY4qNja1yPCYmxqcfVGmlPJb4OdXqC1Q207FjR/PnP/+5ynFffrjUHXfcUeXneezevds0btzYZ1msdFyslsdKWYwxJi4uzmzZsuWc7Xv27DHR0dEmPT39F3tsrJSHLPbIM2DAAJOSkmKOHDlyztiRI0dMv379TFpamk+yWC2PFX5OnIE5y3XXXaeCgoIqx0NCQpScnOyTLJMmTVJubu55x1q3bq2NGzfqn//8p0+yWOm4WC2PlbJIUvfu3bV8+XL16NHDa3tCQoI2bNjg08/rsdqxsVIestgjz4svvqgBAwYoJiZGiYmJnq9+KC4u1q5du5SQkKAVK1b4JIvV8ljh58Q1MMAlZOfOncrNzdXdd9993vHdu3frn//8px599FEfJwPsqbKyUmvWrDnvh7WlpKTIz8+374WxWp66RIGxuA8++EA5OTnnPFE7d+5cx8kAAKg7FJjzsEJpOHz4sG655RZt3bpVTZo08TpVWFhYqOuuu07//Oc/FRUV5bNMVjguVs1jpSxWy2OlLFbLQxZ75Dlflm7duqlTp04+z2K1PHX6c6rVK2xspri42HTv3t04HA4THx9vOnfubDp37mzi4+ONw+Ew3bt3/9EvEawpQ4YMMUlJSWbv3r3njO3du9d069bNZ99ybKXjYrU8VspyJs91111niTxWPDZWyUMWe+SxUhar5bFCFgrMWaxUGho0aGA++uijKsd37NhhGjRo4JMsVjouVstjpSxWy2OlLFbLQxZ75LFSFqvlsUIWCsxZrFQaIiMjzTvvvFPl+KZNm0xkZKRPsljpuFgtj5WyWC2PlbJYLQ9Z7JHHSlmslscKWX45lyv/BIGBgXK73VWOHzt2TIGBgT7Jcvvtt2vkyJF6/fXXvTK53W69/vrruvvuu3XHHXf4JIuVjovV8lgpi9XyWCmL1fKQxR55rJTFankskaVW65HN/Pa3vzXx8fFm+fLlpqSkxLO9pKTELF++3DRt2tSMGTPGJ1lOnTplRo8ebZxOp/Hz8zNBQUEmKCjI+Pn5GafTae6//35z6tQpn2Sx0nGxWh4rZbFaHitlsVoestgjj5WyWC2PFbJQYM5ipdJwRklJidm4caNZsmSJWbJkidm4caPXk8UXrHZcrJTHSlmslsdKWayWhyz2yGOlLFbLY4UsvI36PNxut3Jzc73eFtaxY0eFhobWcbK6ZbXjYqU8VspitTxWymK1PGSxRx4rZbFanrrMQoGxsO+//165ubmKiIhQQkKC19ipU6f06quvKj09vY7SAQBQd7iI9398//33eu+995Sfn3/O2KlTp7Rw4UKf5Pj000/VqlUrJScnKzExUddff73XN1CXlJRU+XHxtcEqx8WKeayUxWp5rJTFannIYo88VspitTx1nqVWX6CymYKCAs+H8Pj5+Znk5GTzn//8xzNeVFTks29BHTRokElLSzNHjhwx+/btM2lpaaZZs2bmyy+/9HkWKx0Xq+WxUhar5bFSFqvlIYs98lgpi9XyWCELZ2DOMnHiRLVp00aHDx9WQUGBQkJC1L17dxUWFvo8y9atW5Wdna1GjRrp6quv1ltvvaXU1FT16NFDX3zxhU+zWOm4WC2PlbJYLY+VslgtD1nskcdKWayWxxJZarUe2UxUVJTZuXOnZ72ystKMHj3aNGnSxHz++ec+bbchISEmPz//nO2ZmZnmiiuuMFu2bPFZFisdF6vlsVIWq+WxUhar5SGLPfJYKYvV8lghC2dgzvL9998rICDAs+5wODR37lwNHDhQ119/vT799FOfZWnZsqV27NhxzvYXXnhBN998s2666SafZbHScbFaHitlsVoeK2WxWh6y2COPlbJYLY8lstRqPbKZTp06mYULF553LDMz04SHh/us3T7xxBOmf//+VY7ff//9xuFw+CSLlY6L1fJYKYvV8lgpi9XykMUeeayUxWp5rJCFAnMWK5UGK7HacbFSHitlsVoeK2WxWh6y2COPlbJYLY8VsvA5MAAAwHa4BgYAANgOBQYAANgOBQYAANgOBQYAANgOBQZArbjrrrvkcDjkcDhUr149RUdH64YbbtC8efNUWVn5k/ezYMEChYeH12i2d955Rw6HQ61bt1ZFRYXXWHh4uBYsWFCj9weg5lFgANSafv366dChQzpw4IDefvtt9erVS//v//0/3XjjjSovL6/rePriiy98/mV8AGoGBQZArQkMDJTL5dLll1+ua665Rr///e/15ptv6u233/ac5Zg1a5YSExNVv359xcXF6be//a2OHz8u6YczJXfffbdKSko8Z3OmTp0qSSotLdVDDz2kyy+/XPXr11eXLl30zjvvVCvfAw88oEcffVSlpaU1+KgB+AIFBoBP9e7dW+3atdPy5cslSX5+fnr++ee1Z88evfLKK9q4caMefvhhSVK3bt307LPPKjQ0VIcOHdKhQ4f00EMPSZLGjBmjnJwcLV26VDt37tStt96qfv36ad++fT85y9ixY1VeXq7Zs2fX/AMFUKsoMAB8rmXLljpw4ICkH0pEr1691LRpU/Xu3Vt/+tOf9Oqrr0qSnE6nwsLC5HA45HK55HK51KBBAxUWFmr+/Pl67bXX1KNHD1111VV66KGH1L17d82fP/8n5wgODtajjz6q7OxslZSU1MZDBVBLKDAAfM4YI4fDIUlav369+vTpo8svv1whISG688479c033+jkyZNV3n7Xrl2qqKhQ8+bN1aBBA8+yefNmff7559XKkpGRocjISD355JM/6zEB8K2AH58CADXrk08+UbNmzXTgwAHdeOONuv/++/X4448rIiJC7733njIyMnT69GkFBwef9/bHjx+Xv7+/cnNz5e/v7zXWoEGDamUJCAjQ448/rrvuuktjxoy56McEwLcoMAB8auPGjdq1a5fGjRun3NxcVVZW6umnn5af3w8nhM+8fHSG0+k8563OHTp0UEVFhQ4fPqwePXr87Ey33nqrZs6cqccee+xn7wuAb1BgANSa0tJSFRUVqaKiQsXFxVq9erWys7N14403Kj09Xbt371ZZWZlmz56tgQMH6v3339eLL77otY+mTZvq+PHj2rBhg9q1a6fg4GA1b95cw4cPV3p6up5++ml16NBBR44c0YYNG9S2bVulpaVVO+v06dOVmppaUw8dQC3jGhgAtWb16tWKiYlR06ZN1a9fP23atEnPP/+83nzzTfn7+6tdu3aaNWuWnnzySbVp00aLFy9Wdna21z66deum0aNH6/bbb1fjxo01Y8YMSdL8+fOVnp6uBx98UC1atNCgQYP04YcfqkmTJheVtXfv3urdu7clPp8GwI9zGGNMXYcAAACoDs7AAAAA26HAALjk9O/f3+vt1WcvTzzxRF3HA1ADeAkJwCXnP//5j77//vvzjkVERCgiIsLHiQDUNAoMAACwHV5CAgAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtkOBAQAAtvP/AX1I0Ssa+cZJAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['Date_N'].dt.year.value_counts().plot(kind='bar')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.3. How many Movies & TV Shows are in the dataset ? Show with Bar Graph."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### groupby()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category\n",
       "Movie      5377\n",
       "TV Show    2410\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('Category').Category.count()                 # To group all unique items of a column and show their count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['TV Show' 'Movie']\n"
     ]
    }
   ],
   "source": [
    "print(data['Category'].unique())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### countplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Category'] = data['Category'].astype(str)            # To show the count of all unique values of any column in the form of bar graph"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.4. Show all the Movies that were released in year 2000."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating new column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head()\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data['Year'] = data['Date_N'].dt.year           # to create new Year column ; it will consider only year\n",
    "\n",
    "data['Year'] = data['Date_N'].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head(2)\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Show_Id, Category, Title, Director, Cast, Country, Release_Date, Rating, Duration, Type, Description, Date_N, Year]\n",
       "Index: []"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[ (data['Category']=='Movie') & (data['Year']==2020) ]\n",
    "\n",
    "data[ (data['Category'] == 'Movie') & (data['Year']==2000) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21</td>\n",
       "      <td>Robert Luketic</td>\n",
       "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>s7</td>\n",
       "      <td>Movie</td>\n",
       "      <td>122</td>\n",
       "      <td>Yasir Al Yasiri</td>\n",
       "      <td>Amina Khalil, Ahmed Dawood, Tarek Lotfy, Ahmed...</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>June 1, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>95 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>After an awful accident, a couple admitted to ...</td>\n",
       "      <td>2020-06-01</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>s15</td>\n",
       "      <td>Movie</td>\n",
       "      <td>3022</td>\n",
       "      <td>John Suits</td>\n",
       "      <td>Omar Epps, Kate Walsh, Miranda Cosgrove, Angus...</td>\n",
       "      <td>United States</td>\n",
       "      <td>March 19, 2020</td>\n",
       "      <td>R</td>\n",
       "      <td>91 min</td>\n",
       "      <td>Independent Movies, Sci-Fi &amp; Fantasy, Thrillers</td>\n",
       "      <td>Stranded when the Earth is suddenly destroyed ...</td>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>s28</td>\n",
       "      <td>Movie</td>\n",
       "      <td>#Alive</td>\n",
       "      <td>Cho Il</td>\n",
       "      <td>Yoo Ah-in, Park Shin-hye</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>September 8, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Horror Movies, International Movies, Thrillers</td>\n",
       "      <td>As a grisly virus rampages a city, a lone man ...</td>\n",
       "      <td>2020-09-08</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>s29</td>\n",
       "      <td>Movie</td>\n",
       "      <td>#AnneFrank - Parallel Stories</td>\n",
       "      <td>Sabina Fedeli, Anna Migotto</td>\n",
       "      <td>Helen Mirren, Gengher Gatti</td>\n",
       "      <td>Italy</td>\n",
       "      <td>July 1, 2020</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>95 min</td>\n",
       "      <td>Documentaries, International Movies</td>\n",
       "      <td>Through her diary, Anne Frank's story is retol...</td>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>2020.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7762</th>\n",
       "      <td>s7761</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zaki Chan</td>\n",
       "      <td>Wael Ihsan</td>\n",
       "      <td>Ahmed Helmy, Yasmin Abdulaziz, Hassan Hosny, H...</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>May 19, 2020</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>109 min</td>\n",
       "      <td>Comedies, International Movies, Romantic Movies</td>\n",
       "      <td>An unqualified young man has his work cut out ...</td>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7783</th>\n",
       "      <td>s7782</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zoom</td>\n",
       "      <td>Peter Hewitt</td>\n",
       "      <td>Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 11, 2020</td>\n",
       "      <td>PG</td>\n",
       "      <td>88 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Dragged from civilian life, a former superhero...</td>\n",
       "      <td>2020-01-11</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7784</th>\n",
       "      <td>s7783</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zozo</td>\n",
       "      <td>Josef Fares</td>\n",
       "      <td>Imad Creidi, Antoinette Turk, Elias Gergi, Car...</td>\n",
       "      <td>Sweden, Czech Republic, United Kingdom, Denmar...</td>\n",
       "      <td>October 19, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>When Lebanon's Civil War deprives Zozo of his ...</td>\n",
       "      <td>2020-10-19</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7786</th>\n",
       "      <td>s7785</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Zulu Man in Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nasty C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>September 25, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>44 min</td>\n",
       "      <td>Documentaries, International Movies, Music &amp; M...</td>\n",
       "      <td>In this documentary, South African rapper Nast...</td>\n",
       "      <td>2020-09-25</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7788</th>\n",
       "      <td>s7787</td>\n",
       "      <td>Movie</td>\n",
       "      <td>ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS</td>\n",
       "      <td>Sam Dunn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom, Canada, United States</td>\n",
       "      <td>March 1, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>90 min</td>\n",
       "      <td>Documentaries, Music &amp; Musicals</td>\n",
       "      <td>This documentary delves into the mystique behi...</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1312 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                                    Title   \n",
       "4         s5    Movie                                       21  \\\n",
       "6         s7    Movie                                      122   \n",
       "14       s15    Movie                                     3022   \n",
       "27       s28    Movie                                   #Alive   \n",
       "28       s29    Movie            #AnneFrank - Parallel Stories   \n",
       "...      ...      ...                                      ...   \n",
       "7762   s7761    Movie                                Zaki Chan   \n",
       "7783   s7782    Movie                                     Zoom   \n",
       "7784   s7783    Movie                                     Zozo   \n",
       "7786   s7785    Movie                        Zulu Man in Japan   \n",
       "7788   s7787    Movie  ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS   \n",
       "\n",
       "                         Director   \n",
       "4                  Robert Luketic  \\\n",
       "6                 Yasir Al Yasiri   \n",
       "14                     John Suits   \n",
       "27                         Cho Il   \n",
       "28    Sabina Fedeli, Anna Migotto   \n",
       "...                           ...   \n",
       "7762                   Wael Ihsan   \n",
       "7783                 Peter Hewitt   \n",
       "7784                  Josef Fares   \n",
       "7786                          NaN   \n",
       "7788                     Sam Dunn   \n",
       "\n",
       "                                                   Cast   \n",
       "4     Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  \\\n",
       "6     Amina Khalil, Ahmed Dawood, Tarek Lotfy, Ahmed...   \n",
       "14    Omar Epps, Kate Walsh, Miranda Cosgrove, Angus...   \n",
       "27                             Yoo Ah-in, Park Shin-hye   \n",
       "28                          Helen Mirren, Gengher Gatti   \n",
       "...                                                 ...   \n",
       "7762  Ahmed Helmy, Yasmin Abdulaziz, Hassan Hosny, H...   \n",
       "7783  Tim Allen, Courteney Cox, Chevy Chase, Kate Ma...   \n",
       "7784  Imad Creidi, Antoinette Turk, Elias Gergi, Car...   \n",
       "7786                                            Nasty C   \n",
       "7788                                                NaN   \n",
       "\n",
       "                                                Country        Release_Date   \n",
       "4                                         United States     January 1, 2020  \\\n",
       "6                                                 Egypt        June 1, 2020   \n",
       "14                                        United States      March 19, 2020   \n",
       "27                                          South Korea   September 8, 2020   \n",
       "28                                                Italy        July 1, 2020   \n",
       "...                                                 ...                 ...   \n",
       "7762                                              Egypt        May 19, 2020   \n",
       "7783                                      United States    January 11, 2020   \n",
       "7784  Sweden, Czech Republic, United Kingdom, Denmar...    October 19, 2020   \n",
       "7786                                                NaN  September 25, 2020   \n",
       "7788              United Kingdom, Canada, United States       March 1, 2020   \n",
       "\n",
       "     Rating Duration                                               Type   \n",
       "4     PG-13  123 min                                             Dramas  \\\n",
       "6     TV-MA   95 min                Horror Movies, International Movies   \n",
       "14        R   91 min    Independent Movies, Sci-Fi & Fantasy, Thrillers   \n",
       "27    TV-MA   99 min     Horror Movies, International Movies, Thrillers   \n",
       "28    TV-14   95 min                Documentaries, International Movies   \n",
       "...     ...      ...                                                ...   \n",
       "7762  TV-PG  109 min    Comedies, International Movies, Romantic Movies   \n",
       "7783     PG   88 min                 Children & Family Movies, Comedies   \n",
       "7784  TV-MA   99 min                       Dramas, International Movies   \n",
       "7786  TV-MA   44 min  Documentaries, International Movies, Music & M...   \n",
       "7788  TV-MA   90 min                    Documentaries, Music & Musicals   \n",
       "\n",
       "                                            Description     Date_N    Year  \n",
       "4     A brilliant group of students become card-coun... 2020-01-01  2020.0  \n",
       "6     After an awful accident, a couple admitted to ... 2020-06-01  2020.0  \n",
       "14    Stranded when the Earth is suddenly destroyed ... 2020-03-19  2020.0  \n",
       "27    As a grisly virus rampages a city, a lone man ... 2020-09-08  2020.0  \n",
       "28    Through her diary, Anne Frank's story is retol... 2020-07-01  2020.0  \n",
       "...                                                 ...        ...     ...  \n",
       "7762  An unqualified young man has his work cut out ... 2020-05-19  2020.0  \n",
       "7783  Dragged from civilian life, a former superhero... 2020-01-11  2020.0  \n",
       "7784  When Lebanon's Civil War deprives Zozo of his ... 2020-10-19  2020.0  \n",
       "7786  In this documentary, South African rapper Nast... 2020-09-25  2020.0  \n",
       "7788  This documentary delves into the mystique behi... 2020-03-01  2020.0  \n",
       "\n",
       "[1312 rows x 13 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[ (data['Category'] == 'Movie') & (data['Year']==2020) ]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.5. Show only the Titles of all TV Shows that were released in India only."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head(2)\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86            21 Sarfarosh: Saragarhi 1897\n",
       "132                              7 (Seven)\n",
       "340                           Agent Raghav\n",
       "364                           Akbar Birbal\n",
       "533                    Anjaan: Rural Myths\n",
       "                       ...                \n",
       "6249                  The Creative Indians\n",
       "6400    The Golden Years with Javed Akhtar\n",
       "6469                The House That Made Me\n",
       "7294                            Typewriter\n",
       "7705                       Yeh Meri Family\n",
       "Name: Title, Length: 71, dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data [ (data['Category'] == 'TV Show') & (data['Country'] == 'India') ] ['Title']\n",
    "\n",
    "data[ (data['Category']=='TV Show') & (data['Country']=='India') ] ['Title']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.6. Show Top 10 Directors, who gave the highest number of TV Shows & Movies to Netflix ?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data['Director'].value_counts().head(10)\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Director\n",
       "Raúl Campos, Jan Suter    18\n",
       "Marcus Raboy              16\n",
       "Jay Karas                 14\n",
       "Cathy Garcia-Molina       13\n",
       "Jay Chapman               12\n",
       "Youssef Chahine           12\n",
       "Martin Scorsese           12\n",
       "Steven Spielberg          10\n",
       "David Dhawan               9\n",
       "Hakan Algül                8\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Director'].value_counts().head(10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q.7. Show all the Records, where \"Category is Movie and Type is Comedies\" or \"Country is United Kingdom\"."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtering ( And, Or Operators )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[(data['Category']=='Movie') & (data['Type']=='Comedies') ]\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
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       "      <th>Director</th>\n",
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       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
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       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>s34</td>\n",
       "      <td>Movie</td>\n",
       "      <td>#realityhigh</td>\n",
       "      <td>Fernando Lebrija</td>\n",
       "      <td>Nesta Cooper, Kate Walsh, John Michael Higgins...</td>\n",
       "      <td>United States</td>\n",
       "      <td>September 8, 2017</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>99 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When nerdy high schooler Dani finally attracts...</td>\n",
       "      <td>2017-09-08</td>\n",
       "      <td>2017.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>s73</td>\n",
       "      <td>Movie</td>\n",
       "      <td>17 Again</td>\n",
       "      <td>Burr Steers</td>\n",
       "      <td>Zac Efron, Leslie Mann, Matthew Perry, Thomas ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>102 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>Nearing a midlife crisis, thirty-something Mik...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>s85</td>\n",
       "      <td>Movie</td>\n",
       "      <td>21 &amp; Over</td>\n",
       "      <td>Jon Lucas, Scott Moore</td>\n",
       "      <td>Miles Teller, Skylar Astin, Justin Chon, Sarah...</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 16, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>Jeff's straight-and-narrow life changes abrupt...</td>\n",
       "      <td>2019-04-16</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>s149</td>\n",
       "      <td>Movie</td>\n",
       "      <td>A Bad Moms Christmas</td>\n",
       "      <td>Jon Lucas, Scott Moore</td>\n",
       "      <td>Mila Kunis, Kristen Bell, Kathryn Hahn, Susan ...</td>\n",
       "      <td>United States, China</td>\n",
       "      <td>February 14, 2020</td>\n",
       "      <td>R</td>\n",
       "      <td>104 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>Stressed-out moms Amy, Carla and Kiki are back...</td>\n",
       "      <td>2020-02-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>s175</td>\n",
       "      <td>Movie</td>\n",
       "      <td>A Futile and Stupid Gesture</td>\n",
       "      <td>David Wain</td>\n",
       "      <td>Will Forte, Domhnall Gleeson, Martin Mull, Joe...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 26, 2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>102 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>In a brief life full of triumph and failure, \"...</td>\n",
       "      <td>2018-01-26</td>\n",
       "      <td>2018.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7341</th>\n",
       "      <td>s7340</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Undercover Brother 2</td>\n",
       "      <td>Leslie Small</td>\n",
       "      <td>Michael Jai White, Vince Swann, Barry Bostwick...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 5, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>85 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When a beloved secret agent falls deep into a ...</td>\n",
       "      <td>2019-11-05</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7590</th>\n",
       "      <td>s7589</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Where's the Money</td>\n",
       "      <td>Scott Zabielski</td>\n",
       "      <td>Andrew Bachelor, Kat Graham, Mike Epps, Terry ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 22, 2018</td>\n",
       "      <td>R</td>\n",
       "      <td>86 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>Hunting for a stash of stolen money, a sharp-w...</td>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>2018.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7623</th>\n",
       "      <td>s7622</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Wild Oats</td>\n",
       "      <td>Andy Tennant</td>\n",
       "      <td>Shirley MacLaine, Jessica Lange, Billy Connoll...</td>\n",
       "      <td>Germany, United States</td>\n",
       "      <td>May 13, 2017</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>86 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When insurance accidentally pays her millions,...</td>\n",
       "      <td>2017-05-13</td>\n",
       "      <td>2017.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7634</th>\n",
       "      <td>s7633</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Wine Country</td>\n",
       "      <td>Amy Poehler</td>\n",
       "      <td>Amy Poehler, Maya Rudolph, Ana Gasteyer, Rache...</td>\n",
       "      <td>United States</td>\n",
       "      <td>May 10, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>104 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>When longtime friends meet up for a wine-soake...</td>\n",
       "      <td>2019-05-10</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7664</th>\n",
       "      <td>s7663</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Work It</td>\n",
       "      <td>Laura Terruso</td>\n",
       "      <td>Sabrina Carpenter, Jordan Fisher, Liza Koshy, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>August 7, 2020</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>94 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>A brilliant but clumsy high school senior vows...</td>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>97 rows × 13 columns</p>\n",
       "</div>"
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       "     Show_Id Category                        Title                Director   \n",
       "33       s34    Movie                 #realityhigh        Fernando Lebrija  \\\n",
       "72       s73    Movie                     17 Again             Burr Steers   \n",
       "84       s85    Movie                    21 & Over  Jon Lucas, Scott Moore   \n",
       "148     s149    Movie         A Bad Moms Christmas  Jon Lucas, Scott Moore   \n",
       "174     s175    Movie  A Futile and Stupid Gesture              David Wain   \n",
       "...      ...      ...                          ...                     ...   \n",
       "7341   s7340    Movie         Undercover Brother 2            Leslie Small   \n",
       "7590   s7589    Movie            Where's the Money         Scott Zabielski   \n",
       "7623   s7622    Movie                    Wild Oats            Andy Tennant   \n",
       "7634   s7633    Movie                 Wine Country             Amy Poehler   \n",
       "7664   s7663    Movie                      Work It           Laura Terruso   \n",
       "\n",
       "                                                   Cast   \n",
       "33    Nesta Cooper, Kate Walsh, John Michael Higgins...  \\\n",
       "72    Zac Efron, Leslie Mann, Matthew Perry, Thomas ...   \n",
       "84    Miles Teller, Skylar Astin, Justin Chon, Sarah...   \n",
       "148   Mila Kunis, Kristen Bell, Kathryn Hahn, Susan ...   \n",
       "174   Will Forte, Domhnall Gleeson, Martin Mull, Joe...   \n",
       "...                                                 ...   \n",
       "7341  Michael Jai White, Vince Swann, Barry Bostwick...   \n",
       "7590  Andrew Bachelor, Kat Graham, Mike Epps, Terry ...   \n",
       "7623  Shirley MacLaine, Jessica Lange, Billy Connoll...   \n",
       "7634  Amy Poehler, Maya Rudolph, Ana Gasteyer, Rache...   \n",
       "7664  Sabrina Carpenter, Jordan Fisher, Liza Koshy, ...   \n",
       "\n",
       "                     Country       Release_Date Rating Duration      Type   \n",
       "33             United States  September 8, 2017  TV-14   99 min  Comedies  \\\n",
       "72             United States    January 1, 2021  PG-13  102 min  Comedies   \n",
       "84             United States     April 16, 2019      R   93 min  Comedies   \n",
       "148     United States, China  February 14, 2020      R  104 min  Comedies   \n",
       "174            United States   January 26, 2018  TV-MA  102 min  Comedies   \n",
       "...                      ...                ...    ...      ...       ...   \n",
       "7341           United States   November 5, 2019      R   85 min  Comedies   \n",
       "7590           United States   January 22, 2018      R   86 min  Comedies   \n",
       "7623  Germany, United States       May 13, 2017  PG-13   86 min  Comedies   \n",
       "7634           United States       May 10, 2019      R  104 min  Comedies   \n",
       "7664           United States     August 7, 2020  TV-14   94 min  Comedies   \n",
       "\n",
       "                                            Description     Date_N    Year  \n",
       "33    When nerdy high schooler Dani finally attracts... 2017-09-08  2017.0  \n",
       "72    Nearing a midlife crisis, thirty-something Mik... 2021-01-01  2021.0  \n",
       "84    Jeff's straight-and-narrow life changes abrupt... 2019-04-16  2019.0  \n",
       "148   Stressed-out moms Amy, Carla and Kiki are back... 2020-02-14  2020.0  \n",
       "174   In a brief life full of triumph and failure, \"... 2018-01-26  2018.0  \n",
       "...                                                 ...        ...     ...  \n",
       "7341  When a beloved secret agent falls deep into a ... 2019-11-05  2019.0  \n",
       "7590  Hunting for a stash of stolen money, a sharp-w... 2018-01-22  2018.0  \n",
       "7623  When insurance accidentally pays her millions,... 2017-05-13  2017.0  \n",
       "7634  When longtime friends meet up for a wine-soake... 2019-05-10  2019.0  \n",
       "7664  A brilliant but clumsy high school senior vows... 2020-08-07  2020.0  \n",
       "\n",
       "[97 rows x 13 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[ (data['Category']=='Movie') & (data['Type']=='Comedies') ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>s20</td>\n",
       "      <td>Movie</td>\n",
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       "      <td>#realityhigh</td>\n",
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       "      <th>72</th>\n",
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       "      <td>Movie</td>\n",
       "      <td>17 Again</td>\n",
       "      <td>Burr Steers</td>\n",
       "      <td>Zac Efron, Leslie Mann, Matthew Perry, Thomas ...</td>\n",
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       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>s83</td>\n",
       "      <td>Movie</td>\n",
       "      <td>2036 Origin Unknown</td>\n",
       "      <td>Hasraf Dulull</td>\n",
       "      <td>Katee Sackhoff, Ray Fearon, Julie Cox, Steven ...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>95 min</td>\n",
       "      <td>Sci-Fi &amp; Fantasy</td>\n",
       "      <td>Working with an artificial intelligence to inv...</td>\n",
       "      <td>2018-12-20</td>\n",
       "      <td>2018.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>7670</th>\n",
       "      <td>s7669</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>World War II in Colour</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Robert Powell</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>August 1, 2017</td>\n",
       "      <td>TV-MA</td>\n",
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       "      <td>Footage of the most dramatic moments from Worl...</td>\n",
       "      <td>2017-08-01</td>\n",
       "      <td>2017.0</td>\n",
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       "    <tr>\n",
       "      <th>7671</th>\n",
       "      <td>s7670</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>World's Busiest Cities</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anita Rani, Ade Adepitan, Dan Snow</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>February 1, 2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>British TV Shows, Docuseries</td>\n",
       "      <td>From Moscow to Mexico City, three BBC journali...</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>2019.0</td>\n",
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       "    <tr>\n",
       "      <th>7688</th>\n",
       "      <td>s7687</td>\n",
       "      <td>Movie</td>\n",
       "      <td>XV: Beyond the Tryline</td>\n",
       "      <td>Pierre Deschamps</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>March 18, 2020</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>91 min</td>\n",
       "      <td>Documentaries, Sports Movies</td>\n",
       "      <td>Set against the 2015 Rugby World Cup, this doc...</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7725</th>\n",
       "      <td>s7724</td>\n",
       "      <td>Movie</td>\n",
       "      <td>You Can Tutu</td>\n",
       "      <td>James Brown</td>\n",
       "      <td>Lily O'Regan, Jeannettsy Enriquez Borges, Joel...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>December 31, 2017</td>\n",
       "      <td>TV-G</td>\n",
       "      <td>87 min</td>\n",
       "      <td>Children &amp; Family Movies</td>\n",
       "      <td>A gifted young ballet dancer struggles to find...</td>\n",
       "      <td>2017-12-31</td>\n",
       "      <td>2017.0</td>\n",
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       "    <tr>\n",
       "      <th>7740</th>\n",
       "      <td>s7739</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Young Wallander</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adam Pålsson, Richard Dillane, Leanne Best, El...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>September 3, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Crime TV Shows, International TV Shows, TV Dramas</td>\n",
       "      <td>An incendiary hate crime stirs civil unrest, f...</td>\n",
       "      <td>2020-09-03</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>485 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                   Title          Director   \n",
       "19       s20    Movie                     '89               NaN  \\\n",
       "33       s34    Movie            #realityhigh  Fernando Lebrija   \n",
       "58       s59  TV Show             100% Hotter               NaN   \n",
       "72       s73    Movie                17 Again       Burr Steers   \n",
       "82       s83    Movie     2036 Origin Unknown     Hasraf Dulull   \n",
       "...      ...      ...                     ...               ...   \n",
       "7670   s7669  TV Show  World War II in Colour               NaN   \n",
       "7671   s7670  TV Show  World's Busiest Cities               NaN   \n",
       "7688   s7687    Movie  XV: Beyond the Tryline  Pierre Deschamps   \n",
       "7725   s7724    Movie            You Can Tutu       James Brown   \n",
       "7740   s7739  TV Show         Young Wallander               NaN   \n",
       "\n",
       "                                                   Cast         Country   \n",
       "19                   Lee Dixon, Ian Wright, Paul Merson  United Kingdom  \\\n",
       "33    Nesta Cooper, Kate Walsh, John Michael Higgins...   United States   \n",
       "58    Daniel Palmer, Melissa Sophia, Karen Williams,...  United Kingdom   \n",
       "72    Zac Efron, Leslie Mann, Matthew Perry, Thomas ...   United States   \n",
       "82    Katee Sackhoff, Ray Fearon, Julie Cox, Steven ...  United Kingdom   \n",
       "...                                                 ...             ...   \n",
       "7670                                      Robert Powell  United Kingdom   \n",
       "7671                 Anita Rani, Ade Adepitan, Dan Snow  United Kingdom   \n",
       "7688                                                NaN  United Kingdom   \n",
       "7725  Lily O'Regan, Jeannettsy Enriquez Borges, Joel...  United Kingdom   \n",
       "7740  Adam Pålsson, Richard Dillane, Leanne Best, El...  United Kingdom   \n",
       "\n",
       "           Release_Date Rating  Duration   \n",
       "19         May 16, 2018  TV-PG    87 min  \\\n",
       "33    September 8, 2017  TV-14    99 min   \n",
       "58     November 1, 2019  TV-14  1 Season   \n",
       "72      January 1, 2021  PG-13   102 min   \n",
       "82    December 20, 2018  TV-14    95 min   \n",
       "...                 ...    ...       ...   \n",
       "7670     August 1, 2017  TV-MA  1 Season   \n",
       "7671   February 1, 2019  TV-PG  1 Season   \n",
       "7688     March 18, 2020  TV-14    91 min   \n",
       "7725  December 31, 2017   TV-G    87 min   \n",
       "7740  September 3, 2020  TV-MA  1 Season   \n",
       "\n",
       "                                                   Type   \n",
       "19                                        Sports Movies  \\\n",
       "33                                             Comedies   \n",
       "58    British TV Shows, International TV Shows, Real...   \n",
       "72                                             Comedies   \n",
       "82                                     Sci-Fi & Fantasy   \n",
       "...                                                 ...   \n",
       "7670  British TV Shows, Docuseries, International TV...   \n",
       "7671                       British TV Shows, Docuseries   \n",
       "7688                       Documentaries, Sports Movies   \n",
       "7725                           Children & Family Movies   \n",
       "7740  Crime TV Shows, International TV Shows, TV Dramas   \n",
       "\n",
       "                                            Description     Date_N    Year  \n",
       "19    Mixing old footage with interviews, this is th... 2018-05-16  2018.0  \n",
       "33    When nerdy high schooler Dani finally attracts... 2017-09-08  2017.0  \n",
       "58    A stylist, a hair designer and a makeup artist... 2019-11-01  2019.0  \n",
       "72    Nearing a midlife crisis, thirty-something Mik... 2021-01-01  2021.0  \n",
       "82    Working with an artificial intelligence to inv... 2018-12-20  2018.0  \n",
       "...                                                 ...        ...     ...  \n",
       "7670  Footage of the most dramatic moments from Worl... 2017-08-01  2017.0  \n",
       "7671  From Moscow to Mexico City, three BBC journali... 2019-02-01  2019.0  \n",
       "7688  Set against the 2015 Rugby World Cup, this doc... 2020-03-18  2020.0  \n",
       "7725  A gifted young ballet dancer struggles to find... 2017-12-31  2017.0  \n",
       "7740  An incendiary hate crime stirs civil unrest, f... 2020-09-03  2020.0  \n",
       "\n",
       "[485 rows x 13 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
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    }
   ],
   "source": [
    "# data[(data['Category']=='Movie') & (data['Type']=='Comedies') | (data['Country']=='United Kingdom')]\n",
    "\n",
    "data[ (data['Category']=='Movie') & (data['Type']=='Comedies') | (data['Country']=='United Kingdom')]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.8. In how many movies/shows, Tom Cruise was cast ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
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       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head()\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Show_Id, Category, Title, Director, Cast, Country, Release_Date, Rating, Duration, Type, Description, Date_N, Year]\n",
       "Index: []"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[data['Cast']=='Tom Cruise']\n",
    "\n",
    "data[data['Cast'] == 'Tom Cruise']"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### str.contains()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.dropna(subset=['Cast'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\LDS 03\\AppData\\Local\\Temp\\ipykernel_808\\604200183.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data['Cast'] = data['Cast'].fillna('Unknown')\n"
     ]
    }
   ],
   "source": [
    "data['Cast'] = data['Cast'].fillna('Unknown')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3860</th>\n",
       "      <td>s3861</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Magnolia</td>\n",
       "      <td>Paul Thomas Anderson</td>\n",
       "      <td>Jeremy Blackman, Tom Cruise, Melinda Dillon, A...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>R</td>\n",
       "      <td>189 min</td>\n",
       "      <td>Dramas, Independent Movies</td>\n",
       "      <td>Through chance, human action, past history and...</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5071</th>\n",
       "      <td>s5071</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Rain Man</td>\n",
       "      <td>Barry Levinson</td>\n",
       "      <td>Dustin Hoffman, Tom Cruise, Valeria Golino, Ge...</td>\n",
       "      <td>United States</td>\n",
       "      <td>July 1, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>134 min</td>\n",
       "      <td>Classic Movies, Dramas</td>\n",
       "      <td>A fast-talking yuppie is forced to slow down w...</td>\n",
       "      <td>2019-07-01</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category     Title              Director   \n",
       "3860   s3861    Movie  Magnolia  Paul Thomas Anderson  \\\n",
       "5071   s5071    Movie  Rain Man        Barry Levinson   \n",
       "\n",
       "                                                   Cast        Country   \n",
       "3860  Jeremy Blackman, Tom Cruise, Melinda Dillon, A...  United States  \\\n",
       "5071  Dustin Hoffman, Tom Cruise, Valeria Golino, Ge...  United States   \n",
       "\n",
       "         Release_Date Rating Duration                        Type   \n",
       "3860  January 1, 2020      R  189 min  Dramas, Independent Movies  \\\n",
       "5071     July 1, 2019      R  134 min      Classic Movies, Dramas   \n",
       "\n",
       "                                            Description     Date_N    Year  \n",
       "3860  Through chance, human action, past history and... 2020-01-01  2020.0  \n",
       "5071  A fast-talking yuppie is forced to slow down w... 2019-07-01  2019.0  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[data['Cast'].str.contains('Tom Cruise')]\n",
    "\n",
    "data[data['Cast'].str.contains('Tom Cruise')]\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating new data-frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data_new = data.dropna()                       # It drops the rows that contains all or any missing values.\n",
    "\n",
    "data_new = data.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Movie</td>\n",
       "      <td>23:59</td>\n",
       "      <td>Gilbert Chan</td>\n",
       "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>December 20, 2018</td>\n",
       "      <td>R</td>\n",
       "      <td>78 min</td>\n",
       "      <td>Horror Movies, International Movies</td>\n",
       "      <td>When an army recruit is found dead, his fellow...</td>\n",
       "      <td>2018-12-20</td>\n",
       "      <td>2018.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "1      s2    Movie  07:19  Jorge Michel Grau  \\\n",
       "2      s3    Movie  23:59       Gilbert Chan   \n",
       "\n",
       "                                                Cast    Country   \n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...     Mexico  \\\n",
       "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...  Singapore   \n",
       "\n",
       "        Release_Date Rating Duration                                 Type   \n",
       "1  December 23, 2016  TV-MA   93 min         Dramas, International Movies  \\\n",
       "2  December 20, 2018      R   78 min  Horror Movies, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  \n",
       "2  When an army recruit is found dead, his fellow... 2018-12-20  2018.0  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data_new.head(2)\n",
    "\n",
    "data_new.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3860</th>\n",
       "      <td>s3861</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Magnolia</td>\n",
       "      <td>Paul Thomas Anderson</td>\n",
       "      <td>Jeremy Blackman, Tom Cruise, Melinda Dillon, A...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>R</td>\n",
       "      <td>189 min</td>\n",
       "      <td>Dramas, Independent Movies</td>\n",
       "      <td>Through chance, human action, past history and...</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5071</th>\n",
       "      <td>s5071</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Rain Man</td>\n",
       "      <td>Barry Levinson</td>\n",
       "      <td>Dustin Hoffman, Tom Cruise, Valeria Golino, Ge...</td>\n",
       "      <td>United States</td>\n",
       "      <td>July 1, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>134 min</td>\n",
       "      <td>Classic Movies, Dramas</td>\n",
       "      <td>A fast-talking yuppie is forced to slow down w...</td>\n",
       "      <td>2019-07-01</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category     Title              Director   \n",
       "3860   s3861    Movie  Magnolia  Paul Thomas Anderson  \\\n",
       "5071   s5071    Movie  Rain Man        Barry Levinson   \n",
       "\n",
       "                                                   Cast        Country   \n",
       "3860  Jeremy Blackman, Tom Cruise, Melinda Dillon, A...  United States  \\\n",
       "5071  Dustin Hoffman, Tom Cruise, Valeria Golino, Ge...  United States   \n",
       "\n",
       "         Release_Date Rating Duration                        Type   \n",
       "3860  January 1, 2020      R  189 min  Dramas, Independent Movies  \\\n",
       "5071     July 1, 2019      R  134 min      Classic Movies, Dramas   \n",
       "\n",
       "                                            Description     Date_N    Year  \n",
       "3860  Through chance, human action, past history and... 2020-01-01  2020.0  \n",
       "5071  A fast-talking yuppie is forced to slow down w... 2019-07-01  2019.0  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data_new[data_new['Cast'].str.contains('Tom Cruise')]\n",
    "\n",
    "data_new[data_new['Cast'].str.contains('Tom Cruise')]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.9. What are the different Ratings defined by Netflix ?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.Rating.nunique()\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Rating'].nunique()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['TV-MA', 'R', 'PG-13', 'TV-14', 'TV-PG', 'TV-G', 'TV-Y', 'NR', nan,\n",
       "       'TV-Y7', 'PG', 'G', 'NC-17', 'TV-Y7-FV', 'UR'], dtype=object)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.Rating.unique()\n",
    "\n",
    "data['Rating'].unique()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q.9.1. How many Movies got the 'TV-14' rating, in Canada ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1157, 13)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[(data['Category']=='Movie') & (data['Rating'] == 'TV-14')].shape\n",
    "\n",
    "data[(data['Category']=='Movie') & (data['Rating']=='TV-14')].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9, 13)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[(data['Category']=='Movie') & (data['Rating'] == 'TV-14') & (data['Country']=='Canada')].shape\n",
    "\n",
    "data[(data['Category']=='Movie') & (data['Rating']=='TV-14') & (data['Country']=='Canada')].shape"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q.9.2. How many TV Show got the 'R' rating, after year 2018 ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[(data['Category']=='TV Show') & (data['Rating'] == 'R')]\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4497</th>\n",
       "      <td>s4498</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Nobel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aksel Hennie, Tuva Novotny, Anders Danielsen L...</td>\n",
       "      <td>Norway</td>\n",
       "      <td>December 10, 2016</td>\n",
       "      <td>R</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Thrillers</td>\n",
       "      <td>A series of incidents in Afghanistan set compl...</td>\n",
       "      <td>2016-12-10</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6437</th>\n",
       "      <td>s6436</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Hateful Eight: Extended Version</td>\n",
       "      <td>Quentin Tarantino</td>\n",
       "      <td>Samuel L. Jackson, Kurt Russell, Jennifer Jaso...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>April 25, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>TV Shows</td>\n",
       "      <td>Trapped at a stagecoach stop as a storm rages ...</td>\n",
       "      <td>2019-04-25</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                                Title           Director   \n",
       "4497   s4498  TV Show                                Nobel                NaN  \\\n",
       "6437   s6436  TV Show  The Hateful Eight: Extended Version  Quentin Tarantino   \n",
       "\n",
       "                                                   Cast Country   \n",
       "4497  Aksel Hennie, Tuva Novotny, Anders Danielsen L...  Norway  \\\n",
       "6437  Samuel L. Jackson, Kurt Russell, Jennifer Jaso...     NaN   \n",
       "\n",
       "           Release_Date Rating  Duration   \n",
       "4497  December 10, 2016      R  1 Season  \\\n",
       "6437     April 25, 2019      R  1 Season   \n",
       "\n",
       "                                                 Type   \n",
       "4497  International TV Shows, TV Dramas, TV Thrillers  \\\n",
       "6437                                         TV Shows   \n",
       "\n",
       "                                            Description     Date_N    Year  \n",
       "4497  A series of incidents in Afghanistan set compl... 2016-12-10  2016.0  \n",
       "6437  Trapped at a stagecoach stop as a storm rages ... 2019-04-25  2019.0  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data['Category']=='TV Show') & (data['Rating']=='R')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6437</th>\n",
       "      <td>s6436</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Hateful Eight: Extended Version</td>\n",
       "      <td>Quentin Tarantino</td>\n",
       "      <td>Samuel L. Jackson, Kurt Russell, Jennifer Jaso...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>April 25, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>TV Shows</td>\n",
       "      <td>Trapped at a stagecoach stop as a storm rages ...</td>\n",
       "      <td>2019-04-25</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                                Title           Director   \n",
       "6437   s6436  TV Show  The Hateful Eight: Extended Version  Quentin Tarantino  \\\n",
       "\n",
       "                                                   Cast Country   \n",
       "6437  Samuel L. Jackson, Kurt Russell, Jennifer Jaso...     NaN  \\\n",
       "\n",
       "        Release_Date Rating  Duration      Type   \n",
       "6437  April 25, 2019      R  1 Season  TV Shows  \\\n",
       "\n",
       "                                            Description     Date_N    Year  \n",
       "6437  Trapped at a stagecoach stop as a storm rages ... 2019-04-25  2019.0  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[(data['Category']=='TV Show') & (data['Rating'] == 'R') & (data['Year'] > 2018)]\n",
    "\n",
    "data[(data['Category']=='TV Show') & (data['Rating']=='R') & (data['Year'] > 2018)]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.10. What is the maximum duration of a Movie/Show on Netflix ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head(2)\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['4 Seasons', '93 min', '78 min', '80 min', '123 min', '1 Season',\n",
       "       '95 min', '119 min', '118 min', '143 min', '103 min', '89 min',\n",
       "       '91 min', '149 min', '144 min', '124 min', '87 min', '110 min',\n",
       "       '128 min', '117 min', '100 min', '2 Seasons', '99 min', '102 min',\n",
       "       '104 min', '105 min', '125 min', '81 min', '97 min', '106 min',\n",
       "       '107 min', '109 min', '44 min', '101 min', '90 min', '3 Seasons',\n",
       "       '37 min', '113 min', '114 min', '130 min', '94 min', '140 min',\n",
       "       '135 min', '82 min', '70 min', '121 min', '92 min', '164 min',\n",
       "       '83 min', '116 min', '84 min', '86 min', '120 min', '96 min',\n",
       "       '126 min', '75 min', '129 min', '77 min', '137 min', '148 min',\n",
       "       '122 min', '176 min', '85 min', '22 min', '68 min', '111 min',\n",
       "       '29 min', '142 min', '168 min', '21 min', '59 min', '98 min',\n",
       "       '108 min', '26 min', '156 min', '28 min', '57 min', '150 min',\n",
       "       '133 min', '115 min', '154 min', '127 min', '146 min', '136 min',\n",
       "       '88 min', '131 min', '24 min', '112 min', '74 min', '63 min',\n",
       "       '174 min', '60 min', '153 min', '158 min', '151 min', '162 min',\n",
       "       '54 min', '51 min', '69 min', '64 min', '147 min', '42 min',\n",
       "       '79 min', '5 Seasons', '45 min', '172 min', '53 min', '10 min',\n",
       "       '163 min', '9 Seasons', '55 min', '72 min', '61 min', '71 min',\n",
       "       '160 min', '171 min', '30 min', '48 min', '139 min', '157 min',\n",
       "       '15 min', '65 min', '134 min', '161 min', '62 min', '8 Seasons',\n",
       "       '186 min', '49 min', '73 min', '58 min', '165 min', '166 min',\n",
       "       '138 min', '159 min', '141 min', '132 min', '76 min', '25 min',\n",
       "       '56 min', '67 min', '34 min', '66 min', '312 min', '180 min',\n",
       "       '47 min', '6 Seasons', '155 min', '14 min', '177 min', '11 min',\n",
       "       '46 min', '145 min', '11 Seasons', '7 Seasons', '13 Seasons',\n",
       "       '8 min', '12 min', '12 Seasons', '10 Seasons', '52 min', '43 min',\n",
       "       '50 min', '23 min', '185 min', '200 min', '169 min', '27 min',\n",
       "       '170 min', '196 min', '33 min', '181 min', '204 min', '32 min',\n",
       "       '167 min', '16 Seasons', '179 min', '193 min', '214 min',\n",
       "       '173 min', '192 min', '209 min', '187 min', '41 min', '182 min',\n",
       "       '224 min', '35 min', '20 min', '233 min', '189 min', '152 min',\n",
       "       '38 min', '15 Seasons', '208 min', '237 min', '31 min', '19 min',\n",
       "       '40 min', '178 min', '230 min', '194 min', '228 min', '195 min',\n",
       "       '18 min', '205 min', '190 min', '36 min', '201 min', '253 min',\n",
       "       '17 min', '203 min', '191 min'], dtype=object)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data['Duration'].unique()\n",
    "\n",
    "data.Duration.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.Duration.dtypes\n",
    "\n",
    "data.Duration.dtypes"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### str.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\LDS 03\\AppData\\Local\\Temp\\ipykernel_808\\2547942292.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[['Minutes', 'Unit']] = data['Duration'].str.split(' ', expand = True)\n",
      "C:\\Users\\LDS 03\\AppData\\Local\\Temp\\ipykernel_808\\2547942292.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[['Minutes', 'Unit']] = data['Duration'].str.split(' ', expand = True)\n"
     ]
    }
   ],
   "source": [
    "# data[['Minutes','Unit']] = data['Duration'].str.split(' ', expand=True)\n",
    "\n",
    "data[['Minutes', 'Unit']] = data['Duration'].str.split(' ', expand = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "      <th>Minutes</th>\n",
       "      <th>Unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>93</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year   \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \\\n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0   \n",
       "\n",
       "  Minutes     Unit  \n",
       "0       4  Seasons  \n",
       "1      93      min  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head(2)\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'99'"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.Minutes.max()\n",
    "\n",
    "data['Minutes'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1'"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Minutes'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "inf"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Minutes'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Show_Id                 object\n",
       "Category                object\n",
       "Title                   object\n",
       "Director                object\n",
       "Cast                    object\n",
       "Country                 object\n",
       "Release_Date            object\n",
       "Rating                  object\n",
       "Duration                object\n",
       "Type                    object\n",
       "Description             object\n",
       "Date_N          datetime64[ns]\n",
       "Year                   float64\n",
       "Minutes                 object\n",
       "Unit                    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.11. Which individual country has the Highest No. of TV Shows ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "      <th>Minutes</th>\n",
       "      <th>Unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>93</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year   \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \\\n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0   \n",
       "\n",
       "  Minutes     Unit  \n",
       "0       4  Seasons  \n",
       "1      93      min  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head(2)\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data_tvshow = data[data['Category'] == 'TV Show']\n",
    "\n",
    "data_tvshow = data[data['Category'] == 'TV Show']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "      <th>Minutes</th>\n",
       "      <th>Unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>s6</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>46</td>\n",
       "      <td>Serdar Akar</td>\n",
       "      <td>Erdal Beşikçioğlu, Yasemin Allen, Melis Birkan...</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>July 1, 2017</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Mysteries</td>\n",
       "      <td>A genetics professor experiments with a treatm...</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category Title     Director   \n",
       "0      s1  TV Show    3%          NaN  \\\n",
       "5      s6  TV Show    46  Serdar Akar   \n",
       "\n",
       "                                                Cast Country     Release_Date   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  August 14, 2020  \\\n",
       "5  Erdal Beşikçioğlu, Yasemin Allen, Melis Birkan...  Turkey     July 1, 2017   \n",
       "\n",
       "  Rating   Duration                                               Type   \n",
       "0  TV-MA  4 Seasons  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "5  TV-MA   1 Season    International TV Shows, TV Dramas, TV Mysteries   \n",
       "\n",
       "                                         Description     Date_N    Year   \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \\\n",
       "5  A genetics professor experiments with a treatm... 2017-07-01  2017.0   \n",
       "\n",
       "  Minutes     Unit  \n",
       "0       4  Seasons  \n",
       "5       1   Season  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data_tvshow.head(2)\n",
    "\n",
    "data_tvshow.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "United States                                    581\n",
       "United Kingdom                                   169\n",
       "Japan                                            155\n",
       "South Korea                                      145\n",
       "Taiwan                                            68\n",
       "                                                ... \n",
       "Australia, Canada                                  1\n",
       "Denmark, Singapore, Canada, United States          1\n",
       "South Korea, China                                 1\n",
       "Mexico, United States, Spain, Colombia             1\n",
       "United States, France, South Korea, Indonesia      1\n",
       "Name: count, Length: 172, dtype: int64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data_tvshow.Country.value_counts()\n",
    "\n",
    "data_tvshow.Country.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "United States    581\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data_tvshow.Country.value_counts().head(1)\n",
    "\n",
    "data_tvshow.Country.value_counts().head(1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.12. How can we sort the dataset by Year ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "      <th>Minutes</th>\n",
       "      <th>Unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
       "      <td>In a future where the elite inhabit an island ...</td>\n",
       "      <td>2020-08-14</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
       "      <td>07:19</td>\n",
       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>93</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year   \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \\\n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0   \n",
       "\n",
       "  Minutes     Unit  \n",
       "0       4  Seasons  \n",
       "1      93      min  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.head(2)\n",
    "\n",
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "      <th>Minutes</th>\n",
       "      <th>Unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7115</th>\n",
       "      <td>s7114</td>\n",
       "      <td>Movie</td>\n",
       "      <td>To and From New York</td>\n",
       "      <td>Sorin Dan Mihalcescu</td>\n",
       "      <td>Barbara King, Shaana Diya, John Krisiukenas, Y...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2008</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>81 min</td>\n",
       "      <td>Dramas, Independent Movies, Thrillers</td>\n",
       "      <td>While covering a story in New York City, a Sea...</td>\n",
       "      <td>2008-01-01</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>81</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3248</th>\n",
       "      <td>s3249</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Just Another Love Story</td>\n",
       "      <td>Ole Bornedal</td>\n",
       "      <td>Anders W. Berthelsen, Rebecka Hemse, Nikolaj L...</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>May 5, 2009</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>104 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>When he causes a car accident that leaves a yo...</td>\n",
       "      <td>2009-05-05</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>104</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5766</th>\n",
       "      <td>s5766</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Splatter</td>\n",
       "      <td>Joe Dante</td>\n",
       "      <td>Corey Feldman, Tony Todd, Tara Leigh, Erin Way...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 18, 2009</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>29 min</td>\n",
       "      <td>Horror Movies</td>\n",
       "      <td>After committing suicide, a washed-up rocker r...</td>\n",
       "      <td>2009-11-18</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>29</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3840</th>\n",
       "      <td>s3841</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Mad Ron's Prevues from Hell</td>\n",
       "      <td>Jim Monaco</td>\n",
       "      <td>Nick Pawlow, Jordu Schell, Jay Kushwara, Micha...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 1, 2010</td>\n",
       "      <td>NR</td>\n",
       "      <td>84 min</td>\n",
       "      <td>Cult Movies, Horror Movies</td>\n",
       "      <td>This collection cherry-picks trailers, forgott...</td>\n",
       "      <td>2010-11-01</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>84</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>s309</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Adam: His Song Continues</td>\n",
       "      <td>Robert Markowitz</td>\n",
       "      <td>Daniel J. Travanti, JoBeth Williams, Richard M...</td>\n",
       "      <td>United States</td>\n",
       "      <td>October 1, 2011</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>96 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>After their child was abducted and murdered, J...</td>\n",
       "      <td>2011-10-01</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>96</td>\n",
       "      <td>min</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6907</th>\n",
       "      <td>s6906</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Story of God with Morgan Freeman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Morgan Freeman</td>\n",
       "      <td>United States</td>\n",
       "      <td>February 1, 2019</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Docuseries</td>\n",
       "      <td>Host Morgan Freeman explores religion's role i...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6952</th>\n",
       "      <td>s6951</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Tudors</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jonathan Rhys Meyers, Henry Cavill, James Frai...</td>\n",
       "      <td>Ireland, Canada, United States, United Kingdom</td>\n",
       "      <td>January 8, 2018</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>TV Dramas</td>\n",
       "      <td>All the splendor and scandal of England's 16th...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6998</th>\n",
       "      <td>s6997</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The West Wing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Martin Sheen, Rob Lowe, Allison Janney, John S...</td>\n",
       "      <td>United States</td>\n",
       "      <td>December 25, 2015</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>7 Seasons</td>\n",
       "      <td>TV Dramas</td>\n",
       "      <td>This powerful political epic chronicles the tr...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7448</th>\n",
       "      <td>s7447</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Vroomiz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Joon-seok Song, Jeong-hwa Yang, Sang-hyun Um, ...</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>August 1, 2017</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>Kids' TV, Korean TV Shows</td>\n",
       "      <td>For these half-car, half-animal friends, each ...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7524</th>\n",
       "      <td>s7523</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Weird Wonders of the World</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chris Packham</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>March 31, 2017</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>British TV Shows, Docuseries, Science &amp; Nature TV</td>\n",
       "      <td>From animal oddities and bizarre science to me...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7069 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                                 Title   \n",
       "7115   s7114    Movie                  To and From New York  \\\n",
       "3248   s3249    Movie               Just Another Love Story   \n",
       "5766   s5766    Movie                              Splatter   \n",
       "3840   s3841    Movie           Mad Ron's Prevues from Hell   \n",
       "308     s309    Movie              Adam: His Song Continues   \n",
       "...      ...      ...                                   ...   \n",
       "6907   s6906  TV Show  The Story of God with Morgan Freeman   \n",
       "6952   s6951  TV Show                            The Tudors   \n",
       "6998   s6997  TV Show                         The West Wing   \n",
       "7448   s7447  TV Show                               Vroomiz   \n",
       "7524   s7523  TV Show            Weird Wonders of the World   \n",
       "\n",
       "                  Director                                               Cast   \n",
       "7115  Sorin Dan Mihalcescu  Barbara King, Shaana Diya, John Krisiukenas, Y...  \\\n",
       "3248          Ole Bornedal  Anders W. Berthelsen, Rebecka Hemse, Nikolaj L...   \n",
       "5766             Joe Dante  Corey Feldman, Tony Todd, Tara Leigh, Erin Way...   \n",
       "3840            Jim Monaco  Nick Pawlow, Jordu Schell, Jay Kushwara, Micha...   \n",
       "308       Robert Markowitz  Daniel J. Travanti, JoBeth Williams, Richard M...   \n",
       "...                    ...                                                ...   \n",
       "6907                   NaN                                     Morgan Freeman   \n",
       "6952                   NaN  Jonathan Rhys Meyers, Henry Cavill, James Frai...   \n",
       "6998                   NaN  Martin Sheen, Rob Lowe, Allison Janney, John S...   \n",
       "7448                   NaN  Joon-seok Song, Jeong-hwa Yang, Sang-hyun Um, ...   \n",
       "7524                   NaN                                      Chris Packham   \n",
       "\n",
       "                                             Country        Release_Date   \n",
       "7115                                   United States     January 1, 2008  \\\n",
       "3248                                         Denmark         May 5, 2009   \n",
       "5766                                   United States   November 18, 2009   \n",
       "3840                                   United States    November 1, 2010   \n",
       "308                                    United States     October 1, 2011   \n",
       "...                                              ...                 ...   \n",
       "6907                                   United States    February 1, 2019   \n",
       "6952  Ireland, Canada, United States, United Kingdom     January 8, 2018   \n",
       "6998                                   United States   December 25, 2015   \n",
       "7448                                     South Korea      August 1, 2017   \n",
       "7524                                  United Kingdom      March 31, 2017   \n",
       "\n",
       "     Rating   Duration                                               Type   \n",
       "7115  TV-MA     81 min              Dramas, Independent Movies, Thrillers  \\\n",
       "3248  TV-MA    104 min                       Dramas, International Movies   \n",
       "5766  TV-MA     29 min                                      Horror Movies   \n",
       "3840     NR     84 min                         Cult Movies, Horror Movies   \n",
       "308   TV-MA     96 min                                             Dramas   \n",
       "...     ...        ...                                                ...   \n",
       "6907  TV-14  2 Seasons                                         Docuseries   \n",
       "6952  TV-MA  4 Seasons                                          TV Dramas   \n",
       "6998  TV-14  7 Seasons                                          TV Dramas   \n",
       "7448   TV-Y  3 Seasons                          Kids' TV, Korean TV Shows   \n",
       "7524  TV-PG  2 Seasons  British TV Shows, Docuseries, Science & Nature TV   \n",
       "\n",
       "                                            Description     Date_N    Year   \n",
       "7115  While covering a story in New York City, a Sea... 2008-01-01  2008.0  \\\n",
       "3248  When he causes a car accident that leaves a yo... 2009-05-05  2009.0   \n",
       "5766  After committing suicide, a washed-up rocker r... 2009-11-18  2009.0   \n",
       "3840  This collection cherry-picks trailers, forgott... 2010-11-01  2010.0   \n",
       "308   After their child was abducted and murdered, J... 2011-10-01  2011.0   \n",
       "...                                                 ...        ...     ...   \n",
       "6907  Host Morgan Freeman explores religion's role i...        NaT     NaN   \n",
       "6952  All the splendor and scandal of England's 16th...        NaT     NaN   \n",
       "6998  This powerful political epic chronicles the tr...        NaT     NaN   \n",
       "7448  For these half-car, half-animal friends, each ...        NaT     NaN   \n",
       "7524  From animal oddities and bizarre science to me...        NaT     NaN   \n",
       "\n",
       "     Minutes     Unit  \n",
       "7115      81      min  \n",
       "3248     104      min  \n",
       "5766      29      min  \n",
       "3840      84      min  \n",
       "308       96      min  \n",
       "...      ...      ...  \n",
       "6907       2  Seasons  \n",
       "6952       4  Seasons  \n",
       "6998       7  Seasons  \n",
       "7448       3  Seasons  \n",
       "7524       2  Seasons  \n",
       "\n",
       "[7069 rows x 15 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.sort_values(by='Year').head(2)\n",
    "\n",
    "data.sort_values(by = 'Year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "      <th>Minutes</th>\n",
       "      <th>Unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3147</th>\n",
       "      <td>s3148</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Jenni Rivera: Mariposa de Barrio</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Angélica Celaya, Gabriel Porras, Rosalinda Rod...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Spanish-Language TV Shows, TV Dramas</td>\n",
       "      <td>This drama follows Mexican-American singer Jen...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2493</th>\n",
       "      <td>s2494</td>\n",
       "      <td>Movie</td>\n",
       "      <td>GoodFellas</td>\n",
       "      <td>Martin Scorsese</td>\n",
       "      <td>Robert De Niro, Ray Liotta, Joe Pesci, Lorrain...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>R</td>\n",
       "      <td>145 min</td>\n",
       "      <td>Classic Movies, Dramas</td>\n",
       "      <td>Former mobster Henry Hill recounts his colorfu...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>145</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5522</th>\n",
       "      <td>s5522</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Sex and the City: The Movie</td>\n",
       "      <td>Michael Patrick King</td>\n",
       "      <td>Sarah Jessica Parker, Kim Cattrall, Kristin Da...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>R</td>\n",
       "      <td>145 min</td>\n",
       "      <td>Comedies, Dramas, Romantic Movies</td>\n",
       "      <td>When Carrie's big step forward in her relation...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>145</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>s693</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Bad Grandpa .5</td>\n",
       "      <td>Jeff Tremaine</td>\n",
       "      <td>Johnny Knoxville, Jackson Nicoll, Greg Harris,...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>87 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>The geriatric antics of Irving Zisman continue...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>87</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2413</th>\n",
       "      <td>s2414</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Gimme Shelter</td>\n",
       "      <td>Ron Krauss</td>\n",
       "      <td>Vanessa Hudgens, James Earl Jones, Rosario Daw...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>101 min</td>\n",
       "      <td>Dramas, Independent Movies</td>\n",
       "      <td>After running away from her abusive mother, a ...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>101</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4007</th>\n",
       "      <td>s4008</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Mean Girls 2</td>\n",
       "      <td>Melanie Mayron</td>\n",
       "      <td>Meaghan Martin, Maiara Walsh, Jennifer Stone, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>98 min</td>\n",
       "      <td>Comedies</td>\n",
       "      <td>The father of a high school pariah offers to p...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>98</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6977</th>\n",
       "      <td>s6976</td>\n",
       "      <td>Movie</td>\n",
       "      <td>The Vanished</td>\n",
       "      <td>Peter Facinelli</td>\n",
       "      <td>Thomas Jane, Anne Heche, Jason Patric, John D....</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 15, 2021</td>\n",
       "      <td>R</td>\n",
       "      <td>115 min</td>\n",
       "      <td>Thrillers</td>\n",
       "      <td>When their daughter disappears during a family...</td>\n",
       "      <td>2021-01-15</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>115</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1497</th>\n",
       "      <td>s1498</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Cool Hand Luke</td>\n",
       "      <td>Stuart Rosenberg</td>\n",
       "      <td>Paul Newman, George Kennedy, J.D. Cannon, Lou ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>127 min</td>\n",
       "      <td>Classic Movies, Dramas</td>\n",
       "      <td>Luke Jackson likes to do things his own way, w...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>127</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2476</th>\n",
       "      <td>s2477</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Good Burger</td>\n",
       "      <td>Brian Robbins</td>\n",
       "      <td>Kenan Thompson, Kel Mitchell, Abe Vigoda, Dan ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>PG</td>\n",
       "      <td>96 min</td>\n",
       "      <td>Children &amp; Family Movies, Comedies</td>\n",
       "      <td>Working at a neighborhood fast-food joint, two...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>96</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2479</th>\n",
       "      <td>s2480</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Good Hair</td>\n",
       "      <td>Jeff Stilson</td>\n",
       "      <td>Chris Rock, Nia Long, Maya Angelou, Ice-T, Eve...</td>\n",
       "      <td>United States</td>\n",
       "      <td>January 1, 2021</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>96 min</td>\n",
       "      <td>Documentaries</td>\n",
       "      <td>Chris Rock hops around the world going from be...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>96</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                             Title              Director   \n",
       "3147   s3148  TV Show  Jenni Rivera: Mariposa de Barrio                   NaN  \\\n",
       "2493   s2494    Movie                        GoodFellas       Martin Scorsese   \n",
       "5522   s5522    Movie       Sex and the City: The Movie  Michael Patrick King   \n",
       "692     s693    Movie                    Bad Grandpa .5         Jeff Tremaine   \n",
       "2413   s2414    Movie                     Gimme Shelter            Ron Krauss   \n",
       "4007   s4008    Movie                      Mean Girls 2        Melanie Mayron   \n",
       "6977   s6976    Movie                      The Vanished       Peter Facinelli   \n",
       "1497   s1498    Movie                    Cool Hand Luke      Stuart Rosenberg   \n",
       "2476   s2477    Movie                       Good Burger         Brian Robbins   \n",
       "2479   s2480    Movie                         Good Hair          Jeff Stilson   \n",
       "\n",
       "                                                   Cast        Country   \n",
       "3147  Angélica Celaya, Gabriel Porras, Rosalinda Rod...  United States  \\\n",
       "2493  Robert De Niro, Ray Liotta, Joe Pesci, Lorrain...  United States   \n",
       "5522  Sarah Jessica Parker, Kim Cattrall, Kristin Da...  United States   \n",
       "692   Johnny Knoxville, Jackson Nicoll, Greg Harris,...  United States   \n",
       "2413  Vanessa Hudgens, James Earl Jones, Rosario Daw...  United States   \n",
       "4007  Meaghan Martin, Maiara Walsh, Jennifer Stone, ...  United States   \n",
       "6977  Thomas Jane, Anne Heche, Jason Patric, John D....  United States   \n",
       "1497  Paul Newman, George Kennedy, J.D. Cannon, Lou ...  United States   \n",
       "2476  Kenan Thompson, Kel Mitchell, Abe Vigoda, Dan ...  United States   \n",
       "2479  Chris Rock, Nia Long, Maya Angelou, Ice-T, Eve...  United States   \n",
       "\n",
       "          Release_Date Rating  Duration                                  Type   \n",
       "3147   January 1, 2021  TV-MA  1 Season  Spanish-Language TV Shows, TV Dramas  \\\n",
       "2493   January 1, 2021      R   145 min                Classic Movies, Dramas   \n",
       "5522   January 1, 2021      R   145 min     Comedies, Dramas, Romantic Movies   \n",
       "692    January 1, 2021  TV-MA    87 min                              Comedies   \n",
       "2413   January 1, 2021  PG-13   101 min            Dramas, Independent Movies   \n",
       "4007   January 1, 2021  PG-13    98 min                              Comedies   \n",
       "6977  January 15, 2021      R   115 min                             Thrillers   \n",
       "1497   January 1, 2021  TV-14   127 min                Classic Movies, Dramas   \n",
       "2476   January 1, 2021     PG    96 min    Children & Family Movies, Comedies   \n",
       "2479   January 1, 2021  PG-13    96 min                         Documentaries   \n",
       "\n",
       "                                            Description     Date_N    Year   \n",
       "3147  This drama follows Mexican-American singer Jen... 2021-01-01  2021.0  \\\n",
       "2493  Former mobster Henry Hill recounts his colorfu... 2021-01-01  2021.0   \n",
       "5522  When Carrie's big step forward in her relation... 2021-01-01  2021.0   \n",
       "692   The geriatric antics of Irving Zisman continue... 2021-01-01  2021.0   \n",
       "2413  After running away from her abusive mother, a ... 2021-01-01  2021.0   \n",
       "4007  The father of a high school pariah offers to p... 2021-01-01  2021.0   \n",
       "6977  When their daughter disappears during a family... 2021-01-15  2021.0   \n",
       "1497  Luke Jackson likes to do things his own way, w... 2021-01-01  2021.0   \n",
       "2476  Working at a neighborhood fast-food joint, two... 2021-01-01  2021.0   \n",
       "2479  Chris Rock hops around the world going from be... 2021-01-01  2021.0   \n",
       "\n",
       "     Minutes    Unit  \n",
       "3147       1  Season  \n",
       "2493     145     min  \n",
       "5522     145     min  \n",
       "692       87     min  \n",
       "2413     101     min  \n",
       "4007      98     min  \n",
       "6977     115     min  \n",
       "1497     127     min  \n",
       "2476      96     min  \n",
       "2479      96     min  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data.sort_values(by='Year', ascending=False).head(2)\n",
    "\n",
    "data.sort_values(by = 'Year', ascending = False).head(10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q.13. Find all the instances where : "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Category is 'Movie' and Type is 'Dramas'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### or"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Category is 'TV Show' & Type is 'Kids' TV'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Show_Id</th>\n",
       "      <th>Category</th>\n",
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       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>August 14, 2020</td>\n",
       "      <td>TV-MA</td>\n",
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       "      <td>s2</td>\n",
       "      <td>Movie</td>\n",
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       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>93 min</td>\n",
       "      <td>Dramas, International Movies</td>\n",
       "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
       "      <td>2016-12-23</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>93</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category  Title           Director   \n",
       "0      s1  TV Show     3%                NaN  \\\n",
       "1      s2    Movie  07:19  Jorge Michel Grau   \n",
       "\n",
       "                                                Cast Country   \n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  \\\n",
       "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
       "\n",
       "        Release_Date Rating   Duration   \n",
       "0    August 14, 2020  TV-MA  4 Seasons  \\\n",
       "1  December 23, 2016  TV-MA     93 min   \n",
       "\n",
       "                                                Type   \n",
       "0  International TV Shows, TV Dramas, TV Sci-Fi &...  \\\n",
       "1                       Dramas, International Movies   \n",
       "\n",
       "                                         Description     Date_N    Year   \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  \\\n",
       "1  After a devastating earthquake hits Mexico Cit... 2016-12-23  2016.0   \n",
       "\n",
       "  Minutes     Unit  \n",
       "0       4  Seasons  \n",
       "1      93      min  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "      <td>s5</td>\n",
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       "      <td>United States</td>\n",
       "      <td>January 1, 2020</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>123 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A brilliant group of students become card-coun...</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>123</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>s8</td>\n",
       "      <td>Movie</td>\n",
       "      <td>187</td>\n",
       "      <td>Kevin Reynolds</td>\n",
       "      <td>Samuel L. Jackson, John Heard, Kelly Rowan, Cl...</td>\n",
       "      <td>United States</td>\n",
       "      <td>November 1, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>119 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>After one of his high school students attacks ...</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>119</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category Title        Director   \n",
       "4      s5    Movie    21  Robert Luketic  \\\n",
       "7      s8    Movie   187  Kevin Reynolds   \n",
       "\n",
       "                                                Cast        Country   \n",
       "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States  \\\n",
       "7  Samuel L. Jackson, John Heard, Kelly Rowan, Cl...  United States   \n",
       "\n",
       "       Release_Date Rating Duration    Type   \n",
       "4   January 1, 2020  PG-13  123 min  Dramas  \\\n",
       "7  November 1, 2019      R  119 min  Dramas   \n",
       "\n",
       "                                         Description     Date_N    Year   \n",
       "4  A brilliant group of students become card-coun... 2020-01-01  2020.0  \\\n",
       "7  After one of his high school students attacks ... 2019-11-01  2019.0   \n",
       "\n",
       "  Minutes Unit  \n",
       "4     123  min  \n",
       "7     119  min  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data [(data['Category']=='Movie') & (data['Type']=='Dramas')].head(2)\n",
    "\n",
    "data [ (data['Category']=='Movie') & (data['Type']=='Dramas') ].head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>Category</th>\n",
       "      <th>Title</th>\n",
       "      <th>Director</th>\n",
       "      <th>Cast</th>\n",
       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Date_N</th>\n",
       "      <th>Year</th>\n",
       "      <th>Minutes</th>\n",
       "      <th>Unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>s112</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>44 Cats</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sarah Natochenny, Suzy Myers, Simona Berman, E...</td>\n",
       "      <td>Italy</td>\n",
       "      <td>October 1, 2020</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Paw-esome tales abound when singing furry frie...</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>s277</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Abby Hatcher</td>\n",
       "      <td>Kyran Kelly</td>\n",
       "      <td>Macy Drouin, Wyatt White, Paul Sun-Hyung Lee, ...</td>\n",
       "      <td>United States, Canada</td>\n",
       "      <td>July 1, 2020</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>A big-hearted girl helps her Fuzzly friends wh...</td>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>s435</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Alphablocks</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Teresa Gallagher, David Holt, Lizzie Waterworth</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>May 25, 2020</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>5 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>The letters of the alphabet come to life in Al...</td>\n",
       "      <td>2020-05-25</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>5</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>s599</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Ask the StoryBots</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Judy Greer, Erin Fitzgerald, Fred Tatasciore, ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>August 2, 2019</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Five curious little creatures track down the a...</td>\n",
       "      <td>2019-08-02</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>s707</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Bal Ganesh</td>\n",
       "      <td>Vijay S. Bhanushali</td>\n",
       "      <td>Meghna Erande Joshi, Parminder Ghumman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>March 31, 2020</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Watch Ganesh destroy demons, disarm invaders a...</td>\n",
       "      <td>2020-03-31</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7668</th>\n",
       "      <td>s7667</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>World of Winx</td>\n",
       "      <td>Iginio Straffi</td>\n",
       "      <td>Haven Paschall, Alysha Deslorieux, Jessica Paq...</td>\n",
       "      <td>Italy, United States</td>\n",
       "      <td>June 16, 2017</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>The reality show \"WOW!\" engages the Winx in th...</td>\n",
       "      <td>2017-06-16</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7717</th>\n",
       "      <td>s7716</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Yoko</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eileen Stevens, Alyson Leigh Rosenfeld, Sarah ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>June 23, 2018</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Friends Mai, Oto and Vik's games at the park b...</td>\n",
       "      <td>2018-06-23</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7719</th>\n",
       "      <td>s7718</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>YOM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sairaj, Devyani Dagaonkar, Ketan Singh, Mayur ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>June 7, 2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>With the mind of a human being, and the body o...</td>\n",
       "      <td>2018-06-07</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7758</th>\n",
       "      <td>s7757</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Z4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Apollo Costa, Gabriel Santana, Matheus Lustosa...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>February 22, 2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Fading music biz veteran Zé realizes he has ju...</td>\n",
       "      <td>2019-02-22</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7761</th>\n",
       "      <td>s7760</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zak Storm</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael Johnston, Jessica Gee-George, Christin...</td>\n",
       "      <td>United States, France, South Korea, Indonesia</td>\n",
       "      <td>September 13, 2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Teen surfer Zak Storm is mysteriously transpor...</td>\n",
       "      <td>2018-09-13</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>184 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category              Title             Director   \n",
       "111     s112  TV Show            44 Cats                  NaN  \\\n",
       "276     s277  TV Show       Abby Hatcher          Kyran Kelly   \n",
       "434     s435  TV Show        Alphablocks                  NaN   \n",
       "598     s599  TV Show  Ask the StoryBots                  NaN   \n",
       "706     s707  TV Show         Bal Ganesh  Vijay S. Bhanushali   \n",
       "...      ...      ...                ...                  ...   \n",
       "7668   s7667  TV Show      World of Winx       Iginio Straffi   \n",
       "7717   s7716  TV Show               Yoko                  NaN   \n",
       "7719   s7718  TV Show                YOM                  NaN   \n",
       "7758   s7757  TV Show                 Z4                  NaN   \n",
       "7761   s7760  TV Show          Zak Storm                  NaN   \n",
       "\n",
       "                                                   Cast   \n",
       "111   Sarah Natochenny, Suzy Myers, Simona Berman, E...  \\\n",
       "276   Macy Drouin, Wyatt White, Paul Sun-Hyung Lee, ...   \n",
       "434     Teresa Gallagher, David Holt, Lizzie Waterworth   \n",
       "598   Judy Greer, Erin Fitzgerald, Fred Tatasciore, ...   \n",
       "706              Meghna Erande Joshi, Parminder Ghumman   \n",
       "...                                                 ...   \n",
       "7668  Haven Paschall, Alysha Deslorieux, Jessica Paq...   \n",
       "7717  Eileen Stevens, Alyson Leigh Rosenfeld, Sarah ...   \n",
       "7719  Sairaj, Devyani Dagaonkar, Ketan Singh, Mayur ...   \n",
       "7758  Apollo Costa, Gabriel Santana, Matheus Lustosa...   \n",
       "7761  Michael Johnston, Jessica Gee-George, Christin...   \n",
       "\n",
       "                                            Country        Release_Date   \n",
       "111                                           Italy     October 1, 2020  \\\n",
       "276                           United States, Canada        July 1, 2020   \n",
       "434                                  United Kingdom        May 25, 2020   \n",
       "598                                   United States      August 2, 2019   \n",
       "706                                             NaN      March 31, 2020   \n",
       "...                                             ...                 ...   \n",
       "7668                           Italy, United States       June 16, 2017   \n",
       "7717                                            NaN       June 23, 2018   \n",
       "7719                                            NaN        June 7, 2018   \n",
       "7758                                         Brazil   February 22, 2019   \n",
       "7761  United States, France, South Korea, Indonesia  September 13, 2018   \n",
       "\n",
       "     Rating   Duration      Type   \n",
       "111   TV-Y7  2 Seasons  Kids' TV  \\\n",
       "276    TV-Y   1 Season  Kids' TV   \n",
       "434    TV-Y  5 Seasons  Kids' TV   \n",
       "598    TV-Y  3 Seasons  Kids' TV   \n",
       "706   TV-Y7   1 Season  Kids' TV   \n",
       "...     ...        ...       ...   \n",
       "7668  TV-Y7  2 Seasons  Kids' TV   \n",
       "7717   TV-Y   1 Season  Kids' TV   \n",
       "7719  TV-Y7   1 Season  Kids' TV   \n",
       "7758  TV-PG  2 Seasons  Kids' TV   \n",
       "7761  TV-Y7  3 Seasons  Kids' TV   \n",
       "\n",
       "                                            Description     Date_N    Year   \n",
       "111   Paw-esome tales abound when singing furry frie... 2020-10-01  2020.0  \\\n",
       "276   A big-hearted girl helps her Fuzzly friends wh... 2020-07-01  2020.0   \n",
       "434   The letters of the alphabet come to life in Al... 2020-05-25  2020.0   \n",
       "598   Five curious little creatures track down the a... 2019-08-02  2019.0   \n",
       "706   Watch Ganesh destroy demons, disarm invaders a... 2020-03-31  2020.0   \n",
       "...                                                 ...        ...     ...   \n",
       "7668  The reality show \"WOW!\" engages the Winx in th... 2017-06-16  2017.0   \n",
       "7717  Friends Mai, Oto and Vik's games at the park b... 2018-06-23  2018.0   \n",
       "7719  With the mind of a human being, and the body o... 2018-06-07  2018.0   \n",
       "7758  Fading music biz veteran Zé realizes he has ju... 2019-02-22  2019.0   \n",
       "7761  Teen surfer Zak Storm is mysteriously transpor... 2018-09-13  2018.0   \n",
       "\n",
       "     Minutes     Unit  \n",
       "111        2  Seasons  \n",
       "276        1   Season  \n",
       "434        5  Seasons  \n",
       "598        3  Seasons  \n",
       "706        1   Season  \n",
       "...      ...      ...  \n",
       "7668       2  Seasons  \n",
       "7717       1   Season  \n",
       "7719       1   Season  \n",
       "7758       2  Seasons  \n",
       "7761       3  Seasons  \n",
       "\n",
       "[184 rows x 15 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data[(data['Category']=='TV Show') & (data['Type']==\"Kids' TV\")].head(2)\n",
    "\n",
    "data [ (data['Category']=='TV Show') & (data['Type']== \"Kids' TV\") ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Show_Id</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
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       "      <td>PG-13</td>\n",
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       "      <td>min</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>s8</td>\n",
       "      <td>Movie</td>\n",
       "      <td>187</td>\n",
       "      <td>Kevin Reynolds</td>\n",
       "      <td>Samuel L. Jackson, John Heard, Kelly Rowan, Cl...</td>\n",
       "      <td>United States</td>\n",
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       "      <td>After one of his high school students attacks ...</td>\n",
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       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>s112</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>44 Cats</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sarah Natochenny, Suzy Myers, Simona Berman, E...</td>\n",
       "      <td>Italy</td>\n",
       "      <td>October 1, 2020</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Paw-esome tales abound when singing furry frie...</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>s171</td>\n",
       "      <td>Movie</td>\n",
       "      <td>A Family Man</td>\n",
       "      <td>Mark Williams</td>\n",
       "      <td>Gerard Butler, Gretchen Mol, Alison Brie, Will...</td>\n",
       "      <td>Canada, United States</td>\n",
       "      <td>December 15, 2019</td>\n",
       "      <td>R</td>\n",
       "      <td>110 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>A ruthless corporate headhunter battles his ri...</td>\n",
       "      <td>2019-12-15</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>110</td>\n",
       "      <td>min</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>s233</td>\n",
       "      <td>Movie</td>\n",
       "      <td>A Stoning in Fulham County</td>\n",
       "      <td>Larry Elikann</td>\n",
       "      <td>Ken Olin, Jill Eikenberry, Maureen Mueller, Gr...</td>\n",
       "      <td>United States</td>\n",
       "      <td>October 1, 2011</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>95 min</td>\n",
       "      <td>Dramas</td>\n",
       "      <td>After reckless teens kill an Amish child, a pr...</td>\n",
       "      <td>2011-10-01</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>95</td>\n",
       "      <td>min</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7668</th>\n",
       "      <td>s7667</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>World of Winx</td>\n",
       "      <td>Iginio Straffi</td>\n",
       "      <td>Haven Paschall, Alysha Deslorieux, Jessica Paq...</td>\n",
       "      <td>Italy, United States</td>\n",
       "      <td>June 16, 2017</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>The reality show \"WOW!\" engages the Winx in th...</td>\n",
       "      <td>2017-06-16</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7717</th>\n",
       "      <td>s7716</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Yoko</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eileen Stevens, Alyson Leigh Rosenfeld, Sarah ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>June 23, 2018</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Friends Mai, Oto and Vik's games at the park b...</td>\n",
       "      <td>2018-06-23</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7719</th>\n",
       "      <td>s7718</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>YOM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sairaj, Devyani Dagaonkar, Ketan Singh, Mayur ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>June 7, 2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>With the mind of a human being, and the body o...</td>\n",
       "      <td>2018-06-07</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Season</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7758</th>\n",
       "      <td>s7757</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Z4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Apollo Costa, Gabriel Santana, Matheus Lustosa...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>February 22, 2019</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Fading music biz veteran Zé realizes he has ju...</td>\n",
       "      <td>2019-02-22</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7761</th>\n",
       "      <td>s7760</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Zak Storm</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael Johnston, Jessica Gee-George, Christin...</td>\n",
       "      <td>United States, France, South Korea, Indonesia</td>\n",
       "      <td>September 13, 2018</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>Teen surfer Zak Storm is mysteriously transpor...</td>\n",
       "      <td>2018-09-13</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>300 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                       Title        Director   \n",
       "4         s5    Movie                          21  Robert Luketic  \\\n",
       "7         s8    Movie                         187  Kevin Reynolds   \n",
       "111     s112  TV Show                     44 Cats             NaN   \n",
       "170     s171    Movie                A Family Man   Mark Williams   \n",
       "232     s233    Movie  A Stoning in Fulham County   Larry Elikann   \n",
       "...      ...      ...                         ...             ...   \n",
       "7668   s7667  TV Show               World of Winx  Iginio Straffi   \n",
       "7717   s7716  TV Show                        Yoko             NaN   \n",
       "7719   s7718  TV Show                         YOM             NaN   \n",
       "7758   s7757  TV Show                          Z4             NaN   \n",
       "7761   s7760  TV Show                   Zak Storm             NaN   \n",
       "\n",
       "                                                   Cast   \n",
       "4     Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  \\\n",
       "7     Samuel L. Jackson, John Heard, Kelly Rowan, Cl...   \n",
       "111   Sarah Natochenny, Suzy Myers, Simona Berman, E...   \n",
       "170   Gerard Butler, Gretchen Mol, Alison Brie, Will...   \n",
       "232   Ken Olin, Jill Eikenberry, Maureen Mueller, Gr...   \n",
       "...                                                 ...   \n",
       "7668  Haven Paschall, Alysha Deslorieux, Jessica Paq...   \n",
       "7717  Eileen Stevens, Alyson Leigh Rosenfeld, Sarah ...   \n",
       "7719  Sairaj, Devyani Dagaonkar, Ketan Singh, Mayur ...   \n",
       "7758  Apollo Costa, Gabriel Santana, Matheus Lustosa...   \n",
       "7761  Michael Johnston, Jessica Gee-George, Christin...   \n",
       "\n",
       "                                            Country        Release_Date   \n",
       "4                                     United States     January 1, 2020  \\\n",
       "7                                     United States    November 1, 2019   \n",
       "111                                           Italy     October 1, 2020   \n",
       "170                           Canada, United States   December 15, 2019   \n",
       "232                                   United States     October 1, 2011   \n",
       "...                                             ...                 ...   \n",
       "7668                           Italy, United States       June 16, 2017   \n",
       "7717                                            NaN       June 23, 2018   \n",
       "7719                                            NaN        June 7, 2018   \n",
       "7758                                         Brazil   February 22, 2019   \n",
       "7761  United States, France, South Korea, Indonesia  September 13, 2018   \n",
       "\n",
       "     Rating   Duration      Type   \n",
       "4     PG-13    123 min    Dramas  \\\n",
       "7         R    119 min    Dramas   \n",
       "111   TV-Y7  2 Seasons  Kids' TV   \n",
       "170       R    110 min    Dramas   \n",
       "232   TV-14     95 min    Dramas   \n",
       "...     ...        ...       ...   \n",
       "7668  TV-Y7  2 Seasons  Kids' TV   \n",
       "7717   TV-Y   1 Season  Kids' TV   \n",
       "7719  TV-Y7   1 Season  Kids' TV   \n",
       "7758  TV-PG  2 Seasons  Kids' TV   \n",
       "7761  TV-Y7  3 Seasons  Kids' TV   \n",
       "\n",
       "                                            Description     Date_N    Year   \n",
       "4     A brilliant group of students become card-coun... 2020-01-01  2020.0  \\\n",
       "7     After one of his high school students attacks ... 2019-11-01  2019.0   \n",
       "111   Paw-esome tales abound when singing furry frie... 2020-10-01  2020.0   \n",
       "170   A ruthless corporate headhunter battles his ri... 2019-12-15  2019.0   \n",
       "232   After reckless teens kill an Amish child, a pr... 2011-10-01  2011.0   \n",
       "...                                                 ...        ...     ...   \n",
       "7668  The reality show \"WOW!\" engages the Winx in th... 2017-06-16  2017.0   \n",
       "7717  Friends Mai, Oto and Vik's games at the park b... 2018-06-23  2018.0   \n",
       "7719  With the mind of a human being, and the body o... 2018-06-07  2018.0   \n",
       "7758  Fading music biz veteran Zé realizes he has ju... 2019-02-22  2019.0   \n",
       "7761  Teen surfer Zak Storm is mysteriously transpor... 2018-09-13  2018.0   \n",
       "\n",
       "     Minutes     Unit  \n",
       "4        123      min  \n",
       "7        119      min  \n",
       "111        2  Seasons  \n",
       "170      110      min  \n",
       "232       95      min  \n",
       "...      ...      ...  \n",
       "7668       2  Seasons  \n",
       "7717       1   Season  \n",
       "7719       1   Season  \n",
       "7758       2  Seasons  \n",
       "7761       3  Seasons  \n",
       "\n",
       "[300 rows x 15 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data [(data['Category']=='Movie') & (data['Type']=='Dramas') | (data['Category']=='TV Show') & (data['Type']==\"Kids' TV\")].head(1)\n",
    "\n",
    "data [ (data['Category']=='Movie') & (data['Type']=='Dramas') | (data['Category']=='TV Show') & (data['Type']== \"Kids' TV\") ]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By-\n",
    "Darshan Suresh"
   ]
  }
 ],
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