Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6a3a19a4-0ee2-4ab0-aa8c-058f699c41a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing libraries and dataset\n",
    "import pandas as pd\n",
    "\n",
    "data=pd.read_csv(r\"file.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "834e172a-9fd8-4db4-9259-a2614d8982e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show top 5 records\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f641d786-8faf-41af-93de-2329fb097568",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <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",
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       "      <th>Description</th>\n",
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       "  </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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show last 5 records\n",
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a1c56fc1-b14b-436a-b9a7-89160d6a7ba1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7789, 11)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show the no. of row and columns\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e8240892-68de-4f2d-abd5-14f3cf211e1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "85679"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show the size (total number of values)\n",
    "data.size\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4ea9462c-4a39-440f-89b3-90898d8d4fde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Show_Id', 'Category', 'Title', 'Director', 'Cast', 'Country',\n",
       "       'Release_Date', 'Rating', 'Duration', 'Type', 'Description'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to show each column name\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "36b2e283-2c4a-44a8-8c55-89d525e2d961",
   "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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to show columns data-type\n",
    "\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c05a627d-ef91-45ab-8a69-007fc728e025",
   "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": [
    "#to show whole information of dataset at once\n",
    "data.info()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9564fad7-6b5c-41d9-8cab-c59ec66e8b2f",
   "metadata": {},
   "source": [
    "Task1 : finding the duplicates in the data set and eliminating them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cdee6a71-e3b2-4bc0-8c22-9755e97d8798",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       False\n",
       "1       False\n",
       "2       False\n",
       "3       False\n",
       "4       False\n",
       "        ...  \n",
       "7784    False\n",
       "7785    False\n",
       "7786    False\n",
       "7787    False\n",
       "7788    False\n",
       "Length: 7789, dtype: bool"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check row wise and detect the duplicate rows\n",
    "data.duplicated()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b0897724-de46-488f-b4dd-0890086a0a91",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>6300</th>\n",
       "      <td>s684</td>\n",
       "      <td>Movie</td>\n",
       "      <td>Backfire</td>\n",
       "      <td>Dave Patten</td>\n",
       "      <td>Black Deniro, Byron \"Squally\" Vinson, Dominic ...</td>\n",
       "      <td>United States</td>\n",
       "      <td>April 5, 2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>97 min</td>\n",
       "      <td>Dramas, Independent Movies, Thrillers</td>\n",
       "      <td>When two would-be robbers accidentally kill a ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6622</th>\n",
       "      <td>s6621</td>\n",
       "      <td>Movie</td>\n",
       "      <td>The Lost Okoroshi</td>\n",
       "      <td>Abba T. Makama</td>\n",
       "      <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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      ],
      "text/plain": [
       "     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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5cbd2b40-d72b-4b1b-89d4-cfc72f2fbf10",
   "metadata": {},
   "outputs": [],
   "source": [
    "#removng them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "447d5032-db70-4d0e-8b47-7d14b4e88091",
   "metadata": {},
   "outputs": [],
   "source": [
    "#removng them\n",
    "data.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6be82060-90ee-479e-bb1d-80194042c559",
   "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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Show_Id, Category, Title, Director, Cast, Country, Release_Date, Rating, Duration, Type, Description]\n",
       "Index: []"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking dupicates\n",
    "data[data.duplicated()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce4c6ae7-d19d-43e3-9c3e-9ed5e0f9cdf2",
   "metadata": {},
   "source": [
    "finding the null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "76f443c9-6ed5-4a38-abce-f4b8f6367eb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "      <th>Category</th>\n",
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       "      <th>Country</th>\n",
       "      <th>Release_Date</th>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <th>7785</th>\n",
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       "      <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",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "      <th>7788</th>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <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": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show null values\n",
    "data.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5e6f6e70-ae0d-4b67-b8fe-e184a8081af8",
   "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": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#showing the count of null values in each column\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27b08514-8398-4f42-bf52-ad2282d3cbe0",
   "metadata": {},
   "source": [
    "seaborn library"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c8052dd-3eae-4f4e-8a2f-bd4cd8a2e214",
   "metadata": {},
   "source": [
    "showing null value using heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3b845500-3fc0-416c-92e8-132ca751adc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b0836b6c-f19b-4de1-8883-69a1114543dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.isnull())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d45e81b7-8d08-4fde-8168-5426842bfa9a",
   "metadata": {},
   "source": [
    "Q1.for 'house of card',what is the show Id and who is the diretor of this show?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b51a9b80-196e-4ee5-afe0-b358458c2128",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                            3%\n",
       "1                                         07:19\n",
       "2                                         23:59\n",
       "3                                             9\n",
       "4                                            21\n",
       "                         ...                   \n",
       "7784                                       Zozo\n",
       "7785                                     Zubaan\n",
       "7786                          Zulu Man in Japan\n",
       "7787                      Zumbo's Just Desserts\n",
       "7788    ZZ TOP: THAT LITTLE OL' BAND FROM TEXAS\n",
       "Name: Title, Length: 7787, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "     data['Title']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "664b35db-38f4-42c2-beb5-8cf6a2dd4671",
   "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>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": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['Title'].isin([\"House of Cards\"])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "47e2aa04-7b12-47d6-9fec-21e3de722ae1",
   "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>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": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#using another method\n",
    "\n",
    "data[data[\"Title\"].str.contains(\"House of Cards\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8e523f8-6c71-42ff-b894-60e782ed5ae0",
   "metadata": {},
   "source": [
    "in which year highestnumber of the tv shows and movies were released?Show with bar graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c7510f2e-549e-44e5-bf81-c6c81e10476e",
   "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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3c4e2a10-208c-4433-8825-897a1fd15e98",
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating new column\n",
    "\n",
    "data['Date_N']=pd.to_datetime(data['Release_Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4a531bf4-f6f5-45be-acbc-e46103bb7e0e",
   "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": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b340b505-5690-4ad3-9337-ccb24b96e9d9",
   "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": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d332bfdf-5235-4585-aa94-c6206a085861",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2019.0    2153\n",
       "2020.0    2009\n",
       "2018.0    1685\n",
       "2017.0    1225\n",
       "2016.0     443\n",
       "2021.0     117\n",
       "2015.0      88\n",
       "2014.0      25\n",
       "2011.0      13\n",
       "2013.0      11\n",
       "2012.0       3\n",
       "2008.0       2\n",
       "2009.0       2\n",
       "2010.0       1\n",
       "Name: Date_N, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#it count the occurrence of all individual years in date column\n",
    "data['Date_N'].dt.year.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c3d3782a-b880-492c-afb1-f7fb36d9397f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['Date_N'].dt.year.value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9726580-96c2-4e5c-80dd-fb6fb7a49b1f",
   "metadata": {},
   "source": [
    "q3.how many movies and tv shows asre in the dataset?show with bar graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4a080b9a-6456-4022-a400-c748ba38bade",
   "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": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d9397de3-3b01-4d89-81dc-b47ad649c06a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category\n",
       "Movie      5377\n",
       "TV Show    2410\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('Category').Category.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "11bc34fc-626b-465b-84e2-529ffb152641",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Category'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby('Category').Category.count().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8703991c-d058-424a-8e1a-bd8e28c77cdc",
   "metadata": {},
   "source": [
    "Show all the movies that were released in year 2000"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e4d7e83-eab7-4bc2-aecc-9b06eab151ea",
   "metadata": {},
   "source": [
    "Creating new column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0e91745b-3a7a-40fa-9e1e-ceae1edda525",
   "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,
   "id": "78aaf406-7397-4358-b997-579d91012f12",
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating new column for year only\n",
    "data['year']=data['Date_N'].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3ec78cb5-77e5-40f7-ae85-d98e652a489a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
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       "      <th>1</th>\n",
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       "      <td>Jorge Michel Grau</td>\n",
       "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
       "      <td>Mexico</td>\n",
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       "      <td>Dramas, International Movies</td>\n",
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       "      <td>2016-12-23</td>\n",
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       "  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": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "16db9ddf-9153-4b80-b0ee-b66638122e9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .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",
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       "  </thead>\n",
       "  <tbody>\n",
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      "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": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#filtering\n",
    "\n",
    "data[ (data['Category']==\"Movie\") & (data[\"year\"]==2000) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "9b42d163-3bd2-4739-8d06-15df43296ed5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <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",
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       "    <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": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[ (data['Category']==\"Movie\") & (data[\"year\"]==2020) ]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7ac57f0-1804-494d-b98e-0f94c8c315eb",
   "metadata": {},
   "source": [
    "q5:show on;y the titles of all tv shows that were released in india only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f7f66245-3f08-434e-86d0-3032b4f47d75",
   "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",
       "      <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",
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       "      <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",
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       "      <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",
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       "  </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  "
      ]
     },
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    "data.head(2)"
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   "cell_type": "code",
   "execution_count": 36,
   "id": "025daebb-4e65-4cc9-86bf-9732db53817f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>s87</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>21 Sarfarosh: Saragarhi 1897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Luke Kenny, Mohit Raina, Mukul Dev</td>\n",
       "      <td>India</td>\n",
       "      <td>December 1, 2018</td>\n",
       "      <td>TV-14</td>\n",
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       "      <td>2018-12-01</td>\n",
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       "      <th>132</th>\n",
       "      <td>s133</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>7 (Seven)</td>\n",
       "      <td>Nizar Shafi</td>\n",
       "      <td>Rahman, Havish, Regina Cassandra, Nandita Swet...</td>\n",
       "      <td>India</td>\n",
       "      <td>July 30, 2019</td>\n",
       "      <td>TV-14</td>\n",
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       "      <th>340</th>\n",
       "      <td>s341</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Agent Raghav</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sharad Kelkar, Aahana Kumra, Mahesh Manjrekar,...</td>\n",
       "      <td>India</td>\n",
       "      <td>April 15, 2017</td>\n",
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       "      <td>Crime TV Shows, International TV Shows, TV Act...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>s365</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Akbar Birbal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kiku Sharda, Vishal Kotian, Delnaaz Irani</td>\n",
       "      <td>India</td>\n",
       "      <td>March 31, 2020</td>\n",
       "      <td>TV-G</td>\n",
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       "      <td>Kids' TV, TV Comedies, TV Dramas</td>\n",
       "      <td>From battles of wit to fights for justice, Emp...</td>\n",
       "      <td>2020-03-31</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>s534</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Anjaan: Rural Myths</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>India</td>\n",
       "      <td>December 15, 2018</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, TV Horror, TV Thrillers</td>\n",
       "      <td>Spine-chilling stories of malevolent spirits u...</td>\n",
       "      <td>2018-12-15</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>6249</th>\n",
       "      <td>s6249</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Creative Indians</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>India</td>\n",
       "      <td>August 24, 2020</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Docuseries, International TV Shows</td>\n",
       "      <td>From chefs and comedians to filmmakers and fas...</td>\n",
       "      <td>2020-08-24</td>\n",
       "      <td>2020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6400</th>\n",
       "      <td>s6399</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Golden Years with Javed Akhtar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>India</td>\n",
       "      <td>June 1, 2017</td>\n",
       "      <td>TV-G</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>Docuseries, International TV Shows</td>\n",
       "      <td>Writer, poet and lyricist Javed Akhtar hosts t...</td>\n",
       "      <td>2017-06-01</td>\n",
       "      <td>2017.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6469</th>\n",
       "      <td>s6468</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The House That Made Me</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vinay Pathak</td>\n",
       "      <td>India</td>\n",
       "      <td>March 31, 2017</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>International TV Shows, Reality TV</td>\n",
       "      <td>With host Vinay Pathak, Indian celebrities ret...</td>\n",
       "      <td>2017-03-31</td>\n",
       "      <td>2017.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7294</th>\n",
       "      <td>s7293</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Typewriter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aarna Sharma, Aaryansh Malviya, Mikail Gandhi,...</td>\n",
       "      <td>India</td>\n",
       "      <td>July 19, 2019</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, TV Horror, TV Mysteries</td>\n",
       "      <td>Three young friends in Goa plan to search an o...</td>\n",
       "      <td>2019-07-19</td>\n",
       "      <td>2019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7705</th>\n",
       "      <td>s7704</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Yeh Meri Family</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Vishesh Bansal, Mona Singh, Akarsh Khurana, Ah...</td>\n",
       "      <td>India</td>\n",
       "      <td>August 31, 2018</td>\n",
       "      <td>TV-PG</td>\n",
       "      <td>1 Season</td>\n",
       "      <td>International TV Shows, TV Comedies</td>\n",
       "      <td>In the summer of 1998, middle child Harshu bal...</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>2018.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>71 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                               Title     Director  \\\n",
       "86       s87  TV Show        21 Sarfarosh: Saragarhi 1897          NaN   \n",
       "132     s133  TV Show                           7 (Seven)  Nizar Shafi   \n",
       "340     s341  TV Show                        Agent Raghav          NaN   \n",
       "364     s365  TV Show                        Akbar Birbal          NaN   \n",
       "533     s534  TV Show                 Anjaan: Rural Myths          NaN   \n",
       "...      ...      ...                                 ...          ...   \n",
       "6249   s6249  TV Show                The Creative Indians          NaN   \n",
       "6400   s6399  TV Show  The Golden Years with Javed Akhtar          NaN   \n",
       "6469   s6468  TV Show              The House That Made Me          NaN   \n",
       "7294   s7293  TV Show                          Typewriter          NaN   \n",
       "7705   s7704  TV Show                     Yeh Meri Family          NaN   \n",
       "\n",
       "                                                   Cast Country  \\\n",
       "86                   Luke Kenny, Mohit Raina, Mukul Dev   India   \n",
       "132   Rahman, Havish, Regina Cassandra, Nandita Swet...   India   \n",
       "340   Sharad Kelkar, Aahana Kumra, Mahesh Manjrekar,...   India   \n",
       "364           Kiku Sharda, Vishal Kotian, Delnaaz Irani   India   \n",
       "533                                                 NaN   India   \n",
       "...                                                 ...     ...   \n",
       "6249                                                NaN   India   \n",
       "6400                                                NaN   India   \n",
       "6469                                       Vinay Pathak   India   \n",
       "7294  Aarna Sharma, Aaryansh Malviya, Mikail Gandhi,...   India   \n",
       "7705  Vishesh Bansal, Mona Singh, Akarsh Khurana, Ah...   India   \n",
       "\n",
       "           Release_Date Rating   Duration  \\\n",
       "86     December 1, 2018  TV-14   1 Season   \n",
       "132       July 30, 2019  TV-14   1 Season   \n",
       "340      April 15, 2017  TV-14   1 Season   \n",
       "364      March 31, 2020   TV-G   1 Season   \n",
       "533   December 15, 2018  TV-14   1 Season   \n",
       "...                 ...    ...        ...   \n",
       "6249    August 24, 2020  TV-MA  2 Seasons   \n",
       "6400       June 1, 2017   TV-G   1 Season   \n",
       "6469     March 31, 2017  TV-PG  3 Seasons   \n",
       "7294      July 19, 2019  TV-MA   1 Season   \n",
       "7705    August 31, 2018  TV-PG   1 Season   \n",
       "\n",
       "                                                   Type  \\\n",
       "86                    International TV Shows, TV Dramas   \n",
       "132                                            TV Shows   \n",
       "340   Crime TV Shows, International TV Shows, TV Act...   \n",
       "364                    Kids' TV, TV Comedies, TV Dramas   \n",
       "533     International TV Shows, TV Horror, TV Thrillers   \n",
       "...                                                 ...   \n",
       "6249                 Docuseries, International TV Shows   \n",
       "6400                 Docuseries, International TV Shows   \n",
       "6469                 International TV Shows, Reality TV   \n",
       "7294    International TV Shows, TV Horror, TV Mysteries   \n",
       "7705                International TV Shows, TV Comedies   \n",
       "\n",
       "                                            Description     Date_N    year  \n",
       "86    In one of history's greatest last stands, a ba... 2018-12-01  2018.0  \n",
       "132   Multiple women report their husbands as missin... 2019-07-30  2019.0  \n",
       "340   A mix of brilliance, erudition and skill enabl... 2017-04-15  2017.0  \n",
       "364   From battles of wit to fights for justice, Emp... 2020-03-31  2020.0  \n",
       "533   Spine-chilling stories of malevolent spirits u... 2018-12-15  2018.0  \n",
       "...                                                 ...        ...     ...  \n",
       "6249  From chefs and comedians to filmmakers and fas... 2020-08-24  2020.0  \n",
       "6400  Writer, poet and lyricist Javed Akhtar hosts t... 2017-06-01  2017.0  \n",
       "6469  With host Vinay Pathak, Indian celebrities ret... 2017-03-31  2017.0  \n",
       "7294  Three young friends in Goa plan to search an o... 2019-07-19  2019.0  \n",
       "7705  In the summer of 1998, middle child Harshu bal... 2018-08-31  2018.0  \n",
       "\n",
       "[71 rows x 13 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data[\"Category\"]==\"TV Show\") & (data[\"Country\"]==\"India\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4e5e0824-ac46-46b0-85fa-3d541452be61",
   "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": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show only titles\n",
    "data[(data[\"Category\"]==\"TV Show\") & (data[\"Country\"]==\"India\")][\"Title\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fc4a748-6414-4f10-b69a-d8a0239d1c6a",
   "metadata": {},
   "source": [
    "q6.show top 10 directors who gagve the highest number of tv shows and movies?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b0d2465f-a4f6-4617-be7b-dac1871a5638",
   "metadata": {},
   "outputs": [
    {
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       "      <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",
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       "  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": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
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    "data.head(2)"
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   "cell_type": "code",
   "execution_count": 39,
   "id": "98ddc7b8-7966-4276-8851-c65cd3c4476d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "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: Director, dtype: int64"
      ]
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     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
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    "data['Director'].value_counts().head(10)"
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  {
   "cell_type": "markdown",
   "id": "ec69fc25-42e3-4af3-834f-aca9c2582544",
   "metadata": {},
   "source": [
    "q7:show all the records where category s movie and type is comedy or country is united kingdom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "fec0bae1-2788-4351-ade2-73d76efb72c6",
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   "outputs": [
    {
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       "      <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",
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      "text/plain": [
       "  Show_Id Category Title Director  \\\n",
       "0      s1  TV Show    3%      NaN   \n",
       "\n",
       "                                                Cast Country     Release_Date  \\\n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  August 14, 2020   \n",
       "\n",
       "  Rating   Duration                                               Type  \\\n",
       "0  TV-MA  4 Seasons  International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
       "\n",
       "                                         Description     Date_N    year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
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    }
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    "data.head(1)\n"
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   "execution_count": 51,
   "id": "43a8f295-d0b0-4080-a305-2fce795f1b99",
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    {
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       "      <th>19</th>\n",
       "      <td>s20</td>\n",
       "      <td>Movie</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>82</th>\n",
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       "      <td>Hasraf Dulull</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>United Kingdom</td>\n",
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       "      <td>Anita Rani, Ade Adepitan, Dan Snow</td>\n",
       "      <td>United Kingdom</td>\n",
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       "      <td>TV-PG</td>\n",
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       "      <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",
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       "      <th>7725</th>\n",
       "      <td>s7724</td>\n",
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       "      <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",
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       "      <td>Children &amp; Family Movies</td>\n",
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       "      <td>s7739</td>\n",
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       "      <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",
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      ],
      "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",
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       "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": 51,
     "metadata": {},
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   ],
   "source": [
    "c=data[(data['Category']=='Movie') & (data['Type']=='Comedies') | (data['Country']==\"United Kingdom\")]\n",
    "c"
   ]
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  {
   "cell_type": "markdown",
   "id": "1d3402c1-7eed-4e43-920b-05cef589f10d",
   "metadata": {},
   "source": [
    "q8:in how many movies/shows to cruise was cast?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "97867a77-c8a8-4c88-9989-38dd813caff0",
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    {
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   "execution_count": 53,
   "id": "02bd7d78-2974-49a2-a06a-a2493ed9b42b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "Empty DataFrame\n",
       "Columns: [Show_Id, Category, Title, Director, Cast, Country, Release_Date, Rating, Duration, Type, Description, Date_N, year]\n",
       "Index: []"
      ]
     },
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     "metadata": {},
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   "source": [
    "data[data['Cast']=='Tom Cruise']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "d2b38294-7bcb-4460-98b8-cd72197185a5",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Cannot mask with non-boolean array containing NA / NaN values",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[54], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mCast\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontains\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mTom Cruise\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:3797\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3794\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwhere(key)\n\u001b[0;32m   3796\u001b[0m \u001b[38;5;66;03m# Do we have a (boolean) 1d indexer?\u001b[39;00m\n\u001b[1;32m-> 3797\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mcom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_bool_indexer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[0;32m   3798\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_bool_array(key)\n\u001b[0;32m   3800\u001b[0m \u001b[38;5;66;03m# We are left with two options: a single key, and a collection of keys,\u001b[39;00m\n\u001b[0;32m   3801\u001b[0m \u001b[38;5;66;03m# We interpret tuples as collections only for non-MultiIndex\u001b[39;00m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\common.py:135\u001b[0m, in \u001b[0;36mis_bool_indexer\u001b[1;34m(key)\u001b[0m\n\u001b[0;32m    131\u001b[0m     na_msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot mask with non-boolean array containing NA / NaN values\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    132\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m lib\u001b[38;5;241m.\u001b[39minfer_dtype(key_array) \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mboolean\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m isna(key_array)\u001b[38;5;241m.\u001b[39many():\n\u001b[0;32m    133\u001b[0m         \u001b[38;5;66;03m# Don't raise on e.g. [\"A\", \"B\", np.nan], see\u001b[39;00m\n\u001b[0;32m    134\u001b[0m         \u001b[38;5;66;03m#  test_loc_getitem_list_of_labels_categoricalindex_with_na\u001b[39;00m\n\u001b[1;32m--> 135\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(na_msg)\n\u001b[0;32m    136\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m    137\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
      "\u001b[1;31mValueError\u001b[0m: Cannot mask with non-boolean array containing NA / NaN values"
     ]
    }
   ],
   "source": [
    "data[data['Cast'].str.contains('Tom Cruise')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "6e9cc9f5-456d-49a2-bd8b-1c7ae80e651f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#remove null value records\n",
    "data_new=data.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "2c1e2bf6-b2e5-4a7a-8002-d57ca4b2a56d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <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",
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       "    <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",
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      "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": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_new[data_new['Cast'].str.contains('Tom Cruise')]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c4ec48d-507b-41cc-a31b-5ba7484ef3ae",
   "metadata": {},
   "source": [
    "__Q9.what are the different ratings defined by netflix___\r\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "940ea4ce-2448-4789-89c8-a0f2d7eb1772",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>3%</td>\n",
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       "      <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",
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      "text/plain": [
       "  Show_Id Category Title Director  \\\n",
       "0      s1  TV Show    3%      NaN   \n",
       "\n",
       "                                                Cast Country     Release_Date  \\\n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  August 14, 2020   \n",
       "\n",
       "  Rating   Duration                                               Type  \\\n",
       "0  TV-MA  4 Seasons  International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
       "\n",
       "                                         Description     Date_N    year  \n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "006dcc31-ba2f-42a8-8728-7086d535810b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Rating.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "41de40d7-ed24-4fdd-b03e-e35b84039654",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['TV-MA', 'R', 'PG-13', 'TV-14', 'TV-PG', 'NR', 'TV-G', 'TV-Y', nan,\n",
       "       'TV-Y7', 'PG', 'G', 'NC-17', 'TV-Y7-FV', 'UR'], dtype=object)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Rating.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd3bb834-96aa-483c-b569-a6862dd1a763",
   "metadata": {},
   "source": [
    "__how many movies got the 'TV-14'rating in canada?__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "f5b15d37-9991-4abf-9641-4876c26b9952",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11, 13)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "  data[(data['Rating']==\"TV-14\") & (data['Country']==\"Canada\") & (data[\"Category\"]==\"Movie\")].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "97ad650b-9a51-4bf5-b0ab-2075b0b412f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11, 13)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "  data[(data['Rating']==\"TV-14\") & (data['Country']==\"Canada\") & (data[\"Category\"]==\"Movie\")].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db4e3779-bf14-477f-91d8-d83e52bf08de",
   "metadata": {},
   "source": [
    "__how many tv shw got the R rating after year 2018__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "075cf75c-cd98-413b-ab12-b315d7a53bf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 13)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data['Category']=='TV Show') & (data['Rating']=='R') & (data['year']>2018)].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33b65602-c691-44e1-b24a-18e018b0e323",
   "metadata": {},
   "source": [
    "__Q10.what is the maximum duration of a movie/show on netflix?__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "7e4c5ef5-1a08-4de3-af27-c082c00b7273",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Mexico</td>\n",
       "      <td>December 23, 2016</td>\n",
       "      <td>TV-MA</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",
       "\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": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
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   "execution_count": 81,
   "id": "52cf06bc-669e-443a-854b-7adf087d47bb",
   "metadata": {},
   "outputs": [
    {
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       "array(['4 Seasons', '93 min', '78 min', '80 min', '123 min', '1 Season',\n",
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       "       '91 min', '149 min', '144 min', '124 min', '87 min', '110 min',\n",
       "       '128 min', '117 min', '100 min', '2 Seasons', '84 min', '99 min',\n",
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       "       '162 min', '54 min', '51 min', '69 min', '64 min', '147 min',\n",
       "       '42 min', '79 min', '5 Seasons', '40 min', '45 min', '172 min',\n",
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       "       '15 min', '65 min', '134 min', '161 min', '62 min', '8 Seasons',\n",
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       "       '138 min', '159 min', '141 min', '132 min', '52 min', '67 min',\n",
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       "       '33 min', '181 min', '204 min', '32 min', '35 min', '167 min',\n",
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       "       '224 min', '233 min', '189 min', '152 min', '19 min', '15 Seasons',\n",
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       "       '228 min', '195 min', '3 min', '16 min', '5 min', '18 min',\n",
       "       '205 min', '190 min', '36 min', '201 min', '253 min', '203 min',\n",
       "       '191 min'], dtype=object)"
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     "execution_count": 81,
     "metadata": {},
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   "source": [
    "data.Duration.unique()"
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  {
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   "execution_count": 82,
   "id": "7982fe4f-2ef4-4d6a-bd3c-557c3b21eebc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
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     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
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    "data.Duration.dtypes"
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   "cell_type": "code",
   "execution_count": 83,
   "id": "7999e09a-ffbe-4258-adc1-6f760942adeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[['Minute','unit']]=data['Duration'].str.split(' ',expand=True)"
   ]
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   "cell_type": "code",
   "execution_count": 85,
   "id": "3cb283e0-9d89-492a-af9e-dc8a305990f7",
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       "  Show_Id Category Title Director  \\\n",
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       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  August 14, 2020   \n",
       "\n",
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       "\n",
       "                                         Description     Date_N    year  \\\n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0   \n",
       "\n",
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   "execution_count": 88,
   "id": "720ec4a7-5d4d-4c5a-a97d-7d004c73a14e",
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   "outputs": [
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     "data": {
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   "execution_count": 89,
   "id": "c7052f82-36c7-4463-a5dd-d7922cf5d8d8",
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   "execution_count": 91,
   "id": "41971ea3-4d03-4034-846b-34a400a077a6",
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   "outputs": [
    {
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       "       194, 228, 195,  18, 205, 190,  36, 201, 253, 203, 191], dtype=int64)"
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     "execution_count": 91,
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  {
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   "execution_count": 92,
   "id": "7a2b8f7b-bd06-42ab-b436-68bc747c3b53",
   "metadata": {},
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    {
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       "312"
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     "execution_count": 92,
     "metadata": {},
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   "cell_type": "markdown",
   "id": "0fc9e26a-4db6-46c2-93a7-3a669775089f",
   "metadata": {},
   "source": [
    "__which indivvidual country has the highest number of TV shows?__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "fa59ae41-a6f4-447a-90b1-67150c32e31e",
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    {
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       "  Show_Id Category Title Director  \\\n",
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       "                                         Description     Date_N    year  \\\n",
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   "execution_count": 101,
   "id": "209b5d4a-6944-4a67-aac7-f367959df4e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_tvShow=data[data['Category']=='TV Show']"
   ]
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   "execution_count": 103,
   "id": "d2d25645-ba4a-4f96-9897-74f07642a5c4",
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   "outputs": [
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       "  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",
       "   Minute     unit  \n",
       "0       4  Seasons  \n",
       "5       1   Season  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
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   "cell_type": "code",
   "execution_count": 104,
   "id": "c88f9ecf-d771-435c-8459-caf85a9a3c32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "United States                                                705\n",
       "United Kingdom                                               204\n",
       "Japan                                                        157\n",
       "South Korea                                                  147\n",
       "India                                                         71\n",
       "                                                            ... \n",
       "Canada, United States, United Kingdom, France, Luxembourg      1\n",
       "United States, Italy                                           1\n",
       "Chile, Italy                                                   1\n",
       "Canada, United Kingdom                                         1\n",
       "United States, France, South Korea, Indonesia                  1\n",
       "Name: Country, Length: 183, dtype: int64"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_tvShow.Country.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfa625b8-d89d-4196-b25c-81339f13f8f6",
   "metadata": {},
   "source": [
    "__how to sort dataset by year__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "af9ea0c1-4cea-4c1a-aa26-dc44069198d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>7115</th>\n",
       "      <td>s7114</td>\n",
       "      <td>Movie</td>\n",
       "      <td>To and From New York</td>\n",
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       "      <th>1765</th>\n",
       "      <td>s1766</td>\n",
       "      <td>TV Show</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>3248</th>\n",
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       "      <td>Ole Bornedal</td>\n",
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       "      <td>Splatter</td>\n",
       "      <td>Joe Dante</td>\n",
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       "      <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",
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       "    <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",
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       "    <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",
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       "    <tr>\n",
       "      <th>3374</th>\n",
       "      <td>s3375</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Kikoriki</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Igor Dmitriev</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-Y</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>A wacky rabbit and his gang of animal pals hav...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>3492</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>This irreverent sitcom featues Ludovico, Feder...</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Seasons</td>\n",
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       "    <tr>\n",
       "      <th>3946</th>\n",
       "      <td>s3947</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Maron</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-MA</td>\n",
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       "      <td>TV Comedies</td>\n",
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       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>Seasons</td>\n",
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       "    <tr>\n",
       "      <th>5138</th>\n",
       "      <td>s5138</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Red vs. Blue</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Burnie Burns, Jason Saldaña, Gustavo Sorola, G...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>13 Seasons</td>\n",
       "      <td>TV Action &amp; Adventure, TV Comedies, TV Sci-Fi ...</td>\n",
       "      <td>This parody of first-person shooter games, mil...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>Seasons</td>\n",
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       "    <tr>\n",
       "      <th>6066</th>\n",
       "      <td>s6066</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Adventures of Figaro Pho</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Luke Jurevicius, Craig Behenna, Charlotte Haml...</td>\n",
       "      <td>Australia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
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       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>Seasons</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>7787 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                         Title              Director  \\\n",
       "7115   s7114    Movie          To and From New York  Sorin Dan Mihalcescu   \n",
       "1765   s1766  TV Show               Dinner for Five                   NaN   \n",
       "3248   s3249    Movie       Just Another Love Story          Ole Bornedal   \n",
       "5766   s5766    Movie                      Splatter             Joe Dante   \n",
       "3840   s3841    Movie   Mad Ron's Prevues from Hell            Jim Monaco   \n",
       "...      ...      ...                           ...                   ...   \n",
       "3374   s3375  TV Show                      Kikoriki                   NaN   \n",
       "3492   s3493  TV Show           La Familia P. Luche                   NaN   \n",
       "3946   s3947  TV Show                         Maron                   NaN   \n",
       "5138   s5138  TV Show                  Red vs. Blue                   NaN   \n",
       "6066   s6066  TV Show  The Adventures of Figaro Pho                   NaN   \n",
       "\n",
       "                                                   Cast        Country  \\\n",
       "7115  Barbara King, Shaana Diya, John Krisiukenas, Y...  United States   \n",
       "1765                                                NaN  United States   \n",
       "3248  Anders W. Berthelsen, Rebecka Hemse, Nikolaj L...        Denmark   \n",
       "5766  Corey Feldman, Tony Todd, Tara Leigh, Erin Way...  United States   \n",
       "3840  Nick Pawlow, Jordu Schell, Jay Kushwara, Micha...  United States   \n",
       "...                                                 ...            ...   \n",
       "3374                                      Igor Dmitriev            NaN   \n",
       "3492  Eugenio Derbez, Consuelo Duval, Luis Manuel Áv...  United States   \n",
       "3946  Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...  United States   \n",
       "5138  Burnie Burns, Jason Saldaña, Gustavo Sorola, G...  United States   \n",
       "6066  Luke Jurevicius, Craig Behenna, Charlotte Haml...      Australia   \n",
       "\n",
       "           Release_Date Rating    Duration  \\\n",
       "7115    January 1, 2008  TV-MA      81 min   \n",
       "1765   February 4, 2008  TV-MA    1 Season   \n",
       "3248        May 5, 2009  TV-MA     104 min   \n",
       "5766  November 18, 2009  TV-MA      29 min   \n",
       "3840   November 1, 2010     NR      84 min   \n",
       "...                 ...    ...         ...   \n",
       "3374                NaN   TV-Y   2 Seasons   \n",
       "3492                NaN  TV-14   3 Seasons   \n",
       "3946                NaN  TV-MA   4 Seasons   \n",
       "5138                NaN     NR  13 Seasons   \n",
       "6066                NaN  TV-Y7   2 Seasons   \n",
       "\n",
       "                                                   Type  \\\n",
       "7115              Dramas, Independent Movies, Thrillers   \n",
       "1765                       Stand-Up Comedy & Talk Shows   \n",
       "3248                       Dramas, International Movies   \n",
       "5766                                      Horror Movies   \n",
       "3840                         Cult Movies, Horror Movies   \n",
       "...                                                 ...   \n",
       "3374                                           Kids' TV   \n",
       "3492  International TV Shows, Spanish-Language TV Sh...   \n",
       "3946                                        TV Comedies   \n",
       "5138  TV Action & Adventure, TV Comedies, TV Sci-Fi ...   \n",
       "6066                              Kids' TV, TV Comedies   \n",
       "\n",
       "                                            Description     Date_N    year  \\\n",
       "7115  While covering a story in New York City, a Sea... 2008-01-01  2008.0   \n",
       "1765  In each episode, four celebrities join host Jo... 2008-02-04  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",
       "...                                                 ...        ...     ...   \n",
       "3374  A wacky rabbit and his gang of animal pals hav...        NaT     NaN   \n",
       "3492  This irreverent sitcom featues Ludovico, Feder...        NaT     NaN   \n",
       "3946  Marc Maron stars as Marc Maron, who interviews...        NaT     NaN   \n",
       "5138  This parody of first-person shooter games, mil...        NaT     NaN   \n",
       "6066  Imagine your worst fears, then multiply them: ...        NaT     NaN   \n",
       "\n",
       "      Minute     unit  \n",
       "7115      81      min  \n",
       "1765       1   Season  \n",
       "3248     104      min  \n",
       "5766      29      min  \n",
       "3840      84      min  \n",
       "...      ...      ...  \n",
       "3374       2  Seasons  \n",
       "3492       3  Seasons  \n",
       "3946       4  Seasons  \n",
       "5138      13  Seasons  \n",
       "6066       2  Seasons  \n",
       "\n",
       "[7787 rows x 15 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sort_values(by='year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "df676264-3e14-4f84-ac0c-05455165c1c2",
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    {
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       "      <th>5919</th>\n",
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       "      <td>Movie</td>\n",
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       "      <td>January 10, 2021</td>\n",
       "      <td>PG</td>\n",
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       "      <td>Dramas, International Movies</td>\n",
       "      <td>When daydreamer Ishaan is sent to boarding sch...</td>\n",
       "      <td>2021-01-10</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>162</td>\n",
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       "      <th>366</th>\n",
       "      <td>s367</td>\n",
       "      <td>Movie</td>\n",
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       "      <td>Francisco D'Eufemia</td>\n",
       "      <td>Rodrigo de la Serna, Belen Blanco, Walter Jako...</td>\n",
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       "      <td>s3375</td>\n",
       "      <td>TV Show</td>\n",
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       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV</td>\n",
       "      <td>A wacky rabbit and his gang of animal pals hav...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3492</th>\n",
       "      <td>s3493</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>La Familia P. Luche</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eugenio Derbez, Consuelo Duval, Luis Manuel Áv...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-14</td>\n",
       "      <td>3 Seasons</td>\n",
       "      <td>International TV Shows, Spanish-Language TV Sh...</td>\n",
       "      <td>This irreverent sitcom featues Ludovico, Feder...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3946</th>\n",
       "      <td>s3947</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Maron</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-MA</td>\n",
       "      <td>4 Seasons</td>\n",
       "      <td>TV Comedies</td>\n",
       "      <td>Marc Maron stars as Marc Maron, who interviews...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5138</th>\n",
       "      <td>s5138</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>Red vs. Blue</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Burnie Burns, Jason Saldaña, Gustavo Sorola, G...</td>\n",
       "      <td>United States</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>13 Seasons</td>\n",
       "      <td>TV Action &amp; Adventure, TV Comedies, TV Sci-Fi ...</td>\n",
       "      <td>This parody of first-person shooter games, mil...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6066</th>\n",
       "      <td>s6066</td>\n",
       "      <td>TV Show</td>\n",
       "      <td>The Adventures of Figaro Pho</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Luke Jurevicius, Craig Behenna, Charlotte Haml...</td>\n",
       "      <td>Australia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-Y7</td>\n",
       "      <td>2 Seasons</td>\n",
       "      <td>Kids' TV, TV Comedies</td>\n",
       "      <td>Imagine your worst fears, then multiply them: ...</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>7787 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Show_Id Category                         Title                 Director  \\\n",
       "5564   s5564    Movie               Sherlock Holmes              Guy Ritchie   \n",
       "5919   s5919    Movie                     Surf's Up  Ash Brannon, Chris Buck   \n",
       "980     s981  TV Show                  Bling Empire                      NaN   \n",
       "5955   s5955    Movie              Taare Zameen Par               Aamir Khan   \n",
       "366     s367    Movie                     Al acecho      Francisco D'Eufemia   \n",
       "...      ...      ...                           ...                      ...   \n",
       "3374   s3375  TV Show                      Kikoriki                      NaN   \n",
       "3492   s3493  TV Show           La Familia P. Luche                      NaN   \n",
       "3946   s3947  TV Show                         Maron                      NaN   \n",
       "5138   s5138  TV Show                  Red vs. Blue                      NaN   \n",
       "6066   s6066  TV Show  The Adventures of Figaro Pho                      NaN   \n",
       "\n",
       "                                                   Cast  \\\n",
       "5564  Robert Downey Jr., Jude Law, Rachel McAdams, M...   \n",
       "5919  Shia LaBeouf, Jeff Bridges, Zooey Deschanel, J...   \n",
       "980                                                 NaN   \n",
       "5955  Aamir Khan, Darsheel Safary, Tanay Chheda, Tis...   \n",
       "366   Rodrigo de la Serna, Belen Blanco, Walter Jako...   \n",
       "...                                                 ...   \n",
       "3374                                      Igor Dmitriev   \n",
       "3492  Eugenio Derbez, Consuelo Duval, Luis Manuel Áv...   \n",
       "3946  Marc Maron, Judd Hirsch, Josh Brener, Nora Zeh...   \n",
       "5138  Burnie Burns, Jason Saldaña, Gustavo Sorola, G...   \n",
       "6066  Luke Jurevicius, Craig Behenna, Charlotte Haml...   \n",
       "\n",
       "                                                Country      Release_Date  \\\n",
       "5564  United States, Germany, United Kingdom, Australia   January 1, 2021   \n",
       "5919                                      United States   January 1, 2021   \n",
       "980                                                 NaN  January 15, 2021   \n",
       "5955                                              India  January 10, 2021   \n",
       "366                                                 NaN  January 12, 2021   \n",
       "...                                                 ...               ...   \n",
       "3374                                                NaN               NaN   \n",
       "3492                                      United States               NaN   \n",
       "3946                                      United States               NaN   \n",
       "5138                                      United States               NaN   \n",
       "6066                                          Australia               NaN   \n",
       "\n",
       "     Rating    Duration                                               Type  \\\n",
       "5564  PG-13     128 min                       Action & Adventure, Comedies   \n",
       "5919     PG      86 min  Children & Family Movies, Comedies, Sports Movies   \n",
       "980   TV-MA    1 Season                                         Reality TV   \n",
       "5955     PG     162 min                       Dramas, International Movies   \n",
       "366   TV-MA      81 min                    International Movies, Thrillers   \n",
       "...     ...         ...                                                ...   \n",
       "3374   TV-Y   2 Seasons                                           Kids' TV   \n",
       "3492  TV-14   3 Seasons  International TV Shows, Spanish-Language TV Sh...   \n",
       "3946  TV-MA   4 Seasons                                        TV Comedies   \n",
       "5138     NR  13 Seasons  TV Action & Adventure, TV Comedies, TV Sci-Fi ...   \n",
       "6066  TV-Y7   2 Seasons                              Kids' TV, TV Comedies   \n",
       "\n",
       "                                            Description     Date_N    year  \\\n",
       "5564  The game is afoot for an eccentric detective w... 2021-01-01  2021.0   \n",
       "5919  This Oscar-nominated animated comedy goes behi... 2021-01-01  2021.0   \n",
       "980   Follow LA's wildly wealthy Asian and Asian Ame... 2021-01-15  2021.0   \n",
       "5955  When daydreamer Ishaan is sent to boarding sch... 2021-01-10  2021.0   \n",
       "366   Looking for a fresh start, a park ranger gets ... 2021-01-12  2021.0   \n",
       "...                                                 ...        ...     ...   \n",
       "3374  A wacky rabbit and his gang of animal pals hav...        NaT     NaN   \n",
       "3492  This irreverent sitcom featues Ludovico, Feder...        NaT     NaN   \n",
       "3946  Marc Maron stars as Marc Maron, who interviews...        NaT     NaN   \n",
       "5138  This parody of first-person shooter games, mil...        NaT     NaN   \n",
       "6066  Imagine your worst fears, then multiply them: ...        NaT     NaN   \n",
       "\n",
       "      Minute     unit  \n",
       "5564     128      min  \n",
       "5919      86      min  \n",
       "980        1   Season  \n",
       "5955     162      min  \n",
       "366       81      min  \n",
       "...      ...      ...  \n",
       "3374       2  Seasons  \n",
       "3492       3  Seasons  \n",
       "3946       4  Seasons  \n",
       "5138      13  Seasons  \n",
       "6066       2  Seasons  \n",
       "\n",
       "[7787 rows x 15 columns]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sort_values(by='year', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dccb3801-5d6f-4ed3-9719-23aa59d41d9b",
   "metadata": {},
   "source": [
    "__find a;; the instances where ctegory is Tv show and type is Dramas__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "9eccaf38-fdbf-447e-a6f1-3d751791e581",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>TV Show</td>\n",
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       "      <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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       "      <td>2020.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Seasons</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Show_Id Category Title Director  \\\n",
       "0      s1  TV Show    3%      NaN   \n",
       "\n",
       "                                                Cast Country     Release_Date  \\\n",
       "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil  August 14, 2020   \n",
       "\n",
       "  Rating   Duration                                               Type  \\\n",
       "0  TV-MA  4 Seasons  International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
       "\n",
       "                                         Description     Date_N    year  \\\n",
       "0  In a future where the elite inhabit an island ... 2020-08-14  2020.0   \n",
       "\n",
       "   Minute     unit  \n",
       "0       4  Seasons  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "64d51055-9d79-4a78-9868-8613db219448",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
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       "    <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",
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       "  </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",
       "   Minute     unit  \n",
       "0       4  Seasons  \n",
       "5       1   Season  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_tvShow.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "02839b89-9979-43b5-9acc-1f598f6709f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(704, 15)"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_tvShow[data_tvShow['Type'].str.contains(\"Dramas\")].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "ca92b446-4e62-4843-ba1b-b2b5f6ee48c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2810, 15)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['Type'].str.contains(\"Dramas\")].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "29c89e8c-f8db-4d08-9a5c-8f5011a6c466",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 15)"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "  data[(data['Category']==\"TV Show\") & (data['Type']==\"Dramas\") ].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "db84d2b8-4cc0-4859-8e4c-22a1d1d0f737",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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