<div>
<style scoped>
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    }

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    }

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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>show_id</th>
      <th>type</th>
      <th>title</th>
      <th>director</th>
      <th>cast</th>
      <th>country</th>
      <th>date_added</th>
      <th>release_year</th>
      <th>rating</th>
      <th>duration</th>
      <th>listed_in</th>
      <th>description</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>s1</td>
      <td>Movie</td>
      <td>Dick Johnson Is Dead</td>
      <td>Kirsten Johnson</td>
      <td>NaN</td>
      <td>United States</td>
      <td>2021-09-25 00:00:00</td>
      <td>2020</td>
      <td>PG-13</td>
      <td>90 min</td>
      <td>Documentaries</td>
      <td>As her father nears the end of his life, filmm...</td>
    </tr>
    <tr>
      <th>1</th>
      <td>s2</td>
      <td>TV Show</td>
      <td>Blood &amp; Water</td>
      <td>NaN</td>
      <td>Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...</td>
      <td>South Africa</td>
      <td>2021-09-24 00:00:00</td>
      <td>2021</td>
      <td>TV-MA</td>
      <td>2 Seasons</td>
      <td>International TV Shows, TV Dramas, TV Mysteries</td>
      <td>After crossing paths at a party, a Cape Town t...</td>
    </tr>
    <tr>
      <th>2</th>
      <td>s3</td>
      <td>TV Show</td>
      <td>Ganglands</td>
      <td>Julien Leclercq</td>
      <td>Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...</td>
      <td>NaN</td>
      <td>2021-09-24 00:00:00</td>
      <td>2021</td>
      <td>TV-MA</td>
      <td>1 Season</td>
      <td>Crime TV Shows, International TV Shows, TV Act...</td>
      <td>To protect his family from a powerful drug lor...</td>
    </tr>
    <tr>
      <th>3</th>
      <td>s4</td>
      <td>TV Show</td>
      <td>Jailbirds New Orleans</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2021-09-24 00:00:00</td>
      <td>2021</td>
      <td>TV-MA</td>
      <td>1 Season</td>
      <td>Docuseries, Reality TV</td>
      <td>Feuds, flirtations and toilet talk go down amo...</td>
    </tr>
    <tr>
      <th>4</th>
      <td>s5</td>
      <td>TV Show</td>
      <td>Kota Factory</td>
      <td>NaN</td>
      <td>Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...</td>
      <td>India</td>
      <td>2021-09-24 00:00:00</td>
      <td>2021</td>
      <td>TV-MA</td>
      <td>2 Seasons</td>
      <td>International TV Shows, Romantic TV Shows, TV ...</td>
      <td>In a city of coaching centers known to train I...</td>
    </tr>
  </tbody>
</table>
</div>

  show_id     type                  title         director  \
0      s1    Movie   Dick Johnson Is Dead  Kirsten Johnson   
1      s2  TV Show          Blood & Water              NaN   
2      s3  TV Show              Ganglands  Julien Leclercq   
3      s4  TV Show  Jailbirds New Orleans              NaN   
4      s5  TV Show           Kota Factory              NaN   

                                                cast        country  \
0                                                NaN  United States   
1  Ama Qamata, Khosi Ngema, Gail Mabalane, Thaban...   South Africa   
2  Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabi...            NaN   
3                                                NaN            NaN   
4  Mayur More, Jitendra Kumar, Ranjan Raj, Alam K...          India   

            date_added  release_year rating   duration  \
0  2021-09-25 00:00:00          2020  PG-13     90 min   
1  2021-09-24 00:00:00          2021  TV-MA  2 Seasons   
2  2021-09-24 00:00:00          2021  TV-MA   1 Season   
3  2021-09-24 00:00:00          2021  TV-MA   1 Season   
4  2021-09-24 00:00:00          2021  TV-MA  2 Seasons   

                                           listed_in  \
0                                      Documentaries   
1    International TV Shows, TV Dramas, TV Mysteries   
2  Crime TV Shows, International TV Shows, TV Act...   
3                             Docuseries, Reality TV   
4  International TV Shows, Romantic TV Shows, TV ...   

                                         description  
0  As her father nears the end of his life, filmm...  
1  After crossing paths at a party, a Cape Town t...  
2  To protect his family from a powerful drug lor...  
3  Feuds, flirtations and toilet talk go down amo...  
4  In a city of coaching centers known to train I...  

<div>
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    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Genre</th>
      <th>Count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>International Movies</td>
      <td>2752</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Dramas</td>
      <td>2427</td>
    </tr>
    <tr>
      <th>2</th>
      <td>Comedies</td>
      <td>1674</td>
    </tr>
    <tr>
      <th>3</th>
      <td>International TV Shows</td>
      <td>1351</td>
    </tr>
    <tr>
      <th>4</th>
      <td>Documentaries</td>
      <td>869</td>
    </tr>
    <tr>
      <th>5</th>
      <td>Action &amp; Adventure</td>
      <td>859</td>
    </tr>
    <tr>
      <th>6</th>
      <td>TV Dramas</td>
      <td>763</td>
    </tr>
    <tr>
      <th>7</th>
      <td>Independent Movies</td>
      <td>756</td>
    </tr>
    <tr>
      <th>8</th>
      <td>Children &amp; Family Movies</td>
      <td>641</td>
    </tr>
    <tr>
      <th>9</th>
      <td>Romantic Movies</td>
      <td>616</td>
    </tr>
    <tr>
      <th>10</th>
      <td>TV Comedies</td>
      <td>581</td>
    </tr>
    <tr>
      <th>11</th>
      <td>Thrillers</td>
      <td>577</td>
    </tr>
    <tr>
      <th>12</th>
      <td>Crime TV Shows</td>
      <td>470</td>
    </tr>
    <tr>
      <th>13</th>
      <td>Kids' TV</td>
      <td>451</td>
    </tr>
    <tr>
      <th>14</th>
      <td>Docuseries</td>
      <td>395</td>
    </tr>
    <tr>
      <th>15</th>
      <td>Music &amp; Musicals</td>
      <td>375</td>
    </tr>
    <tr>
      <th>16</th>
      <td>Romantic TV Shows</td>
      <td>370</td>
    </tr>
    <tr>
      <th>17</th>
      <td>Horror Movies</td>
      <td>357</td>
    </tr>
    <tr>
      <th>18</th>
      <td>Stand-Up Comedy</td>
      <td>343</td>
    </tr>
    <tr>
      <th>19</th>
      <td>Reality TV</td>
      <td>255</td>
    </tr>
    <tr>
      <th>20</th>
      <td>British TV Shows</td>
      <td>253</td>
    </tr>
    <tr>
      <th>21</th>
      <td>Sci-Fi &amp; Fantasy</td>
      <td>243</td>
    </tr>
    <tr>
      <th>22</th>
      <td>Sports Movies</td>
      <td>219</td>
    </tr>
    <tr>
      <th>23</th>
      <td>Anime Series</td>
      <td>176</td>
    </tr>
    <tr>
      <th>24</th>
      <td>Spanish-Language TV Shows</td>
      <td>174</td>
    </tr>
    <tr>
      <th>25</th>
      <td>TV Action &amp; Adventure</td>
      <td>168</td>
    </tr>
    <tr>
      <th>26</th>
      <td>Korean TV Shows</td>
      <td>151</td>
    </tr>
    <tr>
      <th>27</th>
      <td>Classic Movies</td>
      <td>116</td>
    </tr>
    <tr>
      <th>28</th>
      <td>LGBTQ Movies</td>
      <td>102</td>
    </tr>
    <tr>
      <th>29</th>
      <td>TV Mysteries</td>
      <td>98</td>
    </tr>
    <tr>
      <th>30</th>
      <td>Science &amp; Nature TV</td>
      <td>92</td>
    </tr>
    <tr>
      <th>31</th>
      <td>TV Sci-Fi &amp; Fantasy</td>
      <td>84</td>
    </tr>
    <tr>
      <th>32</th>
      <td>TV Horror</td>
      <td>75</td>
    </tr>
    <tr>
      <th>33</th>
      <td>Cult Movies</td>
      <td>71</td>
    </tr>
    <tr>
      <th>34</th>
      <td>Anime Features</td>
      <td>71</td>
    </tr>
    <tr>
      <th>35</th>
      <td>Teen TV Shows</td>
      <td>69</td>
    </tr>
    <tr>
      <th>36</th>
      <td>Faith &amp; Spirituality</td>
      <td>65</td>
    </tr>
    <tr>
      <th>37</th>
      <td>TV Thrillers</td>
      <td>57</td>
    </tr>
    <tr>
      <th>38</th>
      <td>Movies</td>
      <td>57</td>
    </tr>
    <tr>
      <th>39</th>
      <td>Stand-Up Comedy &amp; Talk Shows</td>
      <td>56</td>
    </tr>
    <tr>
      <th>40</th>
      <td>Classic &amp; Cult TV</td>
      <td>28</td>
    </tr>
    <tr>
      <th>41</th>
      <td>TV Shows</td>
      <td>16</td>
    </tr>
  </tbody>
</table>
</div>

                           Genre  Count
0           International Movies   2752
1                         Dramas   2427
2                       Comedies   1674
3         International TV Shows   1351
4                  Documentaries    869
5             Action & Adventure    859
6                      TV Dramas    763
7             Independent Movies    756
8       Children & Family Movies    641
9                Romantic Movies    616
10                   TV Comedies    581
11                     Thrillers    577
12                Crime TV Shows    470
13                      Kids' TV    451
14                    Docuseries    395
15              Music & Musicals    375
16             Romantic TV Shows    370
17                 Horror Movies    357
18               Stand-Up Comedy    343
19                    Reality TV    255
20              British TV Shows    253
21              Sci-Fi & Fantasy    243
22                 Sports Movies    219
23                  Anime Series    176
24     Spanish-Language TV Shows    174
25         TV Action & Adventure    168
26               Korean TV Shows    151
27                Classic Movies    116
28                  LGBTQ Movies    102
29                  TV Mysteries     98
30           Science & Nature TV     92
31           TV Sci-Fi & Fantasy     84
32                     TV Horror     75
33                   Cult Movies     71
34                Anime Features     71
35                 Teen TV Shows     69
36          Faith & Spirituality     65
37                  TV Thrillers     57
38                        Movies     57
39  Stand-Up Comedy & Talk Shows     56
40             Classic & Cult TV     28
41                      TV Shows     16

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Year</th>
      <th>Count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1925</td>
      <td>1</td>
    </tr>
    <tr>
      <th>1</th>
      <td>1942</td>
      <td>2</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1943</td>
      <td>3</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1944</td>
      <td>3</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1945</td>
      <td>4</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>69</th>
      <td>2017</td>
      <td>1032</td>
    </tr>
    <tr>
      <th>70</th>
      <td>2018</td>
      <td>1147</td>
    </tr>
    <tr>
      <th>71</th>
      <td>2019</td>
      <td>1030</td>
    </tr>
    <tr>
      <th>72</th>
      <td>2020</td>
      <td>953</td>
    </tr>
    <tr>
      <th>73</th>
      <td>2021</td>
      <td>592</td>
    </tr>
  </tbody>
</table>
<p>74 rows × 2 columns</p>
</div>

    Year  Count
0   1925      1
1   1942      2
2   1943      3
3   1944      3
4   1945      4
..   ...    ...
69  2017   1032
70  2018   1147
71  2019   1030
72  2020    953
73  2021    592

[74 rows x 2 columns]

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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Rating</th>
      <th>Count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>TV-MA</td>
      <td>3207</td>
    </tr>
    <tr>
      <th>1</th>
      <td>TV-14</td>
      <td>2160</td>
    </tr>
    <tr>
      <th>2</th>
      <td>TV-PG</td>
      <td>863</td>
    </tr>
    <tr>
      <th>3</th>
      <td>R</td>
      <td>799</td>
    </tr>
    <tr>
      <th>4</th>
      <td>PG-13</td>
      <td>490</td>
    </tr>
    <tr>
      <th>5</th>
      <td>TV-Y7</td>
      <td>334</td>
    </tr>
    <tr>
      <th>6</th>
      <td>TV-Y</td>
      <td>307</td>
    </tr>
    <tr>
      <th>7</th>
      <td>PG</td>
      <td>287</td>
    </tr>
    <tr>
      <th>8</th>
      <td>TV-G</td>
      <td>220</td>
    </tr>
    <tr>
      <th>9</th>
      <td>NR</td>
      <td>80</td>
    </tr>
    <tr>
      <th>10</th>
      <td>G</td>
      <td>41</td>
    </tr>
    <tr>
      <th>11</th>
      <td>TV-Y7-FV</td>
      <td>6</td>
    </tr>
    <tr>
      <th>12</th>
      <td>NC-17</td>
      <td>3</td>
    </tr>
    <tr>
      <th>13</th>
      <td>UR</td>
      <td>3</td>
    </tr>
    <tr>
      <th>14</th>
      <td>74 min</td>
      <td>1</td>
    </tr>
    <tr>
      <th>15</th>
      <td>84 min</td>
      <td>1</td>
    </tr>
    <tr>
      <th>16</th>
      <td>66 min</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
</div>

      Rating  Count
0      TV-MA   3207
1      TV-14   2160
2      TV-PG    863
3          R    799
4      PG-13    490
5      TV-Y7    334
6       TV-Y    307
7         PG    287
8       TV-G    220
9         NR     80
10         G     41
11  TV-Y7-FV      6
12     NC-17      3
13        UR      3
14    74 min      1
15    84 min      1
16    66 min      1

<div>
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Country</th>
      <th>Count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>United States</td>
      <td>2818</td>
    </tr>
    <tr>
      <th>1</th>
      <td>India</td>
      <td>972</td>
    </tr>
    <tr>
      <th>2</th>
      <td>United Kingdom</td>
      <td>419</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Japan</td>
      <td>245</td>
    </tr>
    <tr>
      <th>4</th>
      <td>South Korea</td>
      <td>199</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>743</th>
      <td>Mexico, United States, Spain, Colombia</td>
      <td>1</td>
    </tr>
    <tr>
      <th>744</th>
      <td>Canada, Norway</td>
      <td>1</td>
    </tr>
    <tr>
      <th>745</th>
      <td>Finland, Germany, Belgium</td>
      <td>1</td>
    </tr>
    <tr>
      <th>746</th>
      <td>Argentina, United States, Mexico</td>
      <td>1</td>
    </tr>
    <tr>
      <th>747</th>
      <td>United Kingdom, United States, Germany, Denmar...</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
<p>748 rows × 2 columns</p>
</div>

                                               Country  Count
0                                        United States   2818
1                                                India    972
2                                       United Kingdom    419
3                                                Japan    245
4                                          South Korea    199
..                                                 ...    ...
743             Mexico, United States, Spain, Colombia      1
744                                     Canada, Norway      1
745                          Finland, Germany, Belgium      1
746                   Argentina, United States, Mexico      1
747  United Kingdom, United States, Germany, Denmar...      1

[748 rows x 2 columns]

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    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Director</th>
      <th>Count</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Rajiv Chilaka</td>
      <td>19</td>
    </tr>
    <tr>
      <th>1</th>
      <td>RaÃºl Campos, Jan Suter</td>
      <td>18</td>
    </tr>
    <tr>
      <th>2</th>
      <td>Suhas Kadav</td>
      <td>16</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Marcus Raboy</td>
      <td>16</td>
    </tr>
    <tr>
      <th>4</th>
      <td>Jay Karas</td>
      <td>14</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>4523</th>
      <td>Eric Bross</td>
      <td>1</td>
    </tr>
    <tr>
      <th>4524</th>
      <td>Will Eisenberg</td>
      <td>1</td>
    </tr>
    <tr>
      <th>4525</th>
      <td>Marina Seresesky</td>
      <td>1</td>
    </tr>
    <tr>
      <th>4526</th>
      <td>Kenny Leon</td>
      <td>1</td>
    </tr>
    <tr>
      <th>4527</th>
      <td>Luke Snellin</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
<p>4528 rows × 2 columns</p>
</div>

                     Director  Count
0               Rajiv Chilaka     19
1     RaÃºl Campos, Jan Suter     18
2                 Suhas Kadav     16
3                Marcus Raboy     16
4                   Jay Karas     14
...                       ...    ...
4523               Eric Bross      1
4524           Will Eisenberg      1
4525         Marina Seresesky      1
4526               Kenny Leon      1
4527             Luke Snellin      1

[4528 rows x 2 columns]

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