FINAL_CODE_YT_TRENDING.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e792940e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing the libraries required\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9478f1c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\SAI SATHVIK'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b7b0de07",
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing the first csv file\n",
    "df = pd.read_csv('INvideos.csv',encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c2a00dd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>video_id</th>\n",
       "      <th>trending_date</th>\n",
       "      <th>title</th>\n",
       "      <th>channel_title</th>\n",
       "      <th>category_id</th>\n",
       "      <th>publish_time</th>\n",
       "      <th>tags</th>\n",
       "      <th>views</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>thumbnail_link</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>video_error_or_removed</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>kzwfHumJyYc</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Sharry Mann: Cute Munda ( Song Teaser) | Parmi...</td>\n",
       "      <td>Lokdhun Punjabi</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-12T12:20:39.000Z</td>\n",
       "      <td>sharry mann|\"sharry mann new song\"|\"sharry man...</td>\n",
       "      <td>1096327</td>\n",
       "      <td>33966</td>\n",
       "      <td>798</td>\n",
       "      <td>882</td>\n",
       "      <td>https://i.ytimg.com/vi/kzwfHumJyYc/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Presenting Sharry Mann latest Punjabi Song  Cu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>zUZ1z7FwLc8</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>पीरियड्स के समय, पेट पर पति करता ऐसा, देखकर दं...</td>\n",
       "      <td>HJ NEWS</td>\n",
       "      <td>25</td>\n",
       "      <td>2017-11-13T05:43:56.000Z</td>\n",
       "      <td>पीरियड्स के समय|\"पेट पर पति करता ऐसा\"|\"देखकर द...</td>\n",
       "      <td>590101</td>\n",
       "      <td>735</td>\n",
       "      <td>904</td>\n",
       "      <td>0</td>\n",
       "      <td>https://i.ytimg.com/vi/zUZ1z7FwLc8/default.jpg</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>पीरियड्स के समय, पेट पर पति करता ऐसा, देखकर दं...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10L1hZ9qa58</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Stylish Star Allu Arjun @ ChaySam Wedding Rece...</td>\n",
       "      <td>TFPC</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-12T15:48:08.000Z</td>\n",
       "      <td>Stylish Star Allu Arjun @ ChaySam Wedding Rece...</td>\n",
       "      <td>473988</td>\n",
       "      <td>2011</td>\n",
       "      <td>243</td>\n",
       "      <td>149</td>\n",
       "      <td>https://i.ytimg.com/vi/10L1hZ9qa58/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Watch Stylish Star Allu Arjun @ ChaySam Weddin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>N1vE8iiEg64</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Eruma Saani | Tamil vs English</td>\n",
       "      <td>Eruma Saani</td>\n",
       "      <td>23</td>\n",
       "      <td>2017-11-12T07:08:48.000Z</td>\n",
       "      <td>Eruma Saani|\"Tamil Comedy Videos\"|\"Films\"|\"Mov...</td>\n",
       "      <td>1242680</td>\n",
       "      <td>70353</td>\n",
       "      <td>1624</td>\n",
       "      <td>2684</td>\n",
       "      <td>https://i.ytimg.com/vi/N1vE8iiEg64/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>This video showcases the difference between pe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>kJzGH0PVQHQ</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>why Samantha became EMOTIONAL @ Samantha naga ...</td>\n",
       "      <td>Filmylooks</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-13T01:14:16.000Z</td>\n",
       "      <td>Filmylooks|\"latest news\"|\"telugu movies\"|\"telu...</td>\n",
       "      <td>464015</td>\n",
       "      <td>492</td>\n",
       "      <td>293</td>\n",
       "      <td>66</td>\n",
       "      <td>https://i.ytimg.com/vi/kJzGH0PVQHQ/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>why Samantha became EMOTIONAL @ Samantha naga ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      video_id trending_date  \\\n",
       "0  kzwfHumJyYc      17.14.11   \n",
       "1  zUZ1z7FwLc8      17.14.11   \n",
       "2  10L1hZ9qa58      17.14.11   \n",
       "3  N1vE8iiEg64      17.14.11   \n",
       "4  kJzGH0PVQHQ      17.14.11   \n",
       "\n",
       "                                               title    channel_title  \\\n",
       "0  Sharry Mann: Cute Munda ( Song Teaser) | Parmi...  Lokdhun Punjabi   \n",
       "1  पीरियड्स के समय, पेट पर पति करता ऐसा, देखकर दं...          HJ NEWS   \n",
       "2  Stylish Star Allu Arjun @ ChaySam Wedding Rece...             TFPC   \n",
       "3                     Eruma Saani | Tamil vs English      Eruma Saani   \n",
       "4  why Samantha became EMOTIONAL @ Samantha naga ...       Filmylooks   \n",
       "\n",
       "   category_id              publish_time  \\\n",
       "0            1  2017-11-12T12:20:39.000Z   \n",
       "1           25  2017-11-13T05:43:56.000Z   \n",
       "2           24  2017-11-12T15:48:08.000Z   \n",
       "3           23  2017-11-12T07:08:48.000Z   \n",
       "4           24  2017-11-13T01:14:16.000Z   \n",
       "\n",
       "                                                tags    views  likes  \\\n",
       "0  sharry mann|\"sharry mann new song\"|\"sharry man...  1096327  33966   \n",
       "1  पीरियड्स के समय|\"पेट पर पति करता ऐसा\"|\"देखकर द...   590101    735   \n",
       "2  Stylish Star Allu Arjun @ ChaySam Wedding Rece...   473988   2011   \n",
       "3  Eruma Saani|\"Tamil Comedy Videos\"|\"Films\"|\"Mov...  1242680  70353   \n",
       "4  Filmylooks|\"latest news\"|\"telugu movies\"|\"telu...   464015    492   \n",
       "\n",
       "   dislikes  comment_count                                  thumbnail_link  \\\n",
       "0       798            882  https://i.ytimg.com/vi/kzwfHumJyYc/default.jpg   \n",
       "1       904              0  https://i.ytimg.com/vi/zUZ1z7FwLc8/default.jpg   \n",
       "2       243            149  https://i.ytimg.com/vi/10L1hZ9qa58/default.jpg   \n",
       "3      1624           2684  https://i.ytimg.com/vi/N1vE8iiEg64/default.jpg   \n",
       "4       293             66  https://i.ytimg.com/vi/kJzGH0PVQHQ/default.jpg   \n",
       "\n",
       "   comments_disabled  ratings_disabled  video_error_or_removed  \\\n",
       "0              False             False                   False   \n",
       "1               True             False                   False   \n",
       "2              False             False                   False   \n",
       "3              False             False                   False   \n",
       "4              False             False                   False   \n",
       "\n",
       "                                         description  \n",
       "0  Presenting Sharry Mann latest Punjabi Song  Cu...  \n",
       "1  पीरियड्स के समय, पेट पर पति करता ऐसा, देखकर दं...  \n",
       "2  Watch Stylish Star Allu Arjun @ ChaySam Weddin...  \n",
       "3  This video showcases the difference between pe...  \n",
       "4  why Samantha became EMOTIONAL @ Samantha naga ...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we need to print the first 5 data for the csv file\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "202f1fc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(37352, 16)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to show number of rows and columns\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c9584c88",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>category_id</th>\n",
       "      <th>views</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>37352.000000</td>\n",
       "      <td>3.735200e+04</td>\n",
       "      <td>3.735200e+04</td>\n",
       "      <td>3.735200e+04</td>\n",
       "      <td>37352.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>21.576596</td>\n",
       "      <td>1.060478e+06</td>\n",
       "      <td>2.708272e+04</td>\n",
       "      <td>1.665082e+03</td>\n",
       "      <td>2676.99743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.556593</td>\n",
       "      <td>3.184932e+06</td>\n",
       "      <td>9.714510e+04</td>\n",
       "      <td>1.607617e+04</td>\n",
       "      <td>14868.31713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.024000e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>1.239155e+05</td>\n",
       "      <td>8.640000e+02</td>\n",
       "      <td>1.080000e+02</td>\n",
       "      <td>81.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>24.000000</td>\n",
       "      <td>3.045860e+05</td>\n",
       "      <td>3.069000e+03</td>\n",
       "      <td>3.260000e+02</td>\n",
       "      <td>329.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.992912e+05</td>\n",
       "      <td>1.377425e+04</td>\n",
       "      <td>1.019250e+03</td>\n",
       "      <td>1285.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>43.000000</td>\n",
       "      <td>1.254322e+08</td>\n",
       "      <td>2.912710e+06</td>\n",
       "      <td>1.545017e+06</td>\n",
       "      <td>827755.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        category_id         views         likes      dislikes  comment_count\n",
       "count  37352.000000  3.735200e+04  3.735200e+04  3.735200e+04    37352.00000\n",
       "mean      21.576596  1.060478e+06  2.708272e+04  1.665082e+03     2676.99743\n",
       "std        6.556593  3.184932e+06  9.714510e+04  1.607617e+04    14868.31713\n",
       "min        1.000000  4.024000e+03  0.000000e+00  0.000000e+00        0.00000\n",
       "25%       23.000000  1.239155e+05  8.640000e+02  1.080000e+02       81.00000\n",
       "50%       24.000000  3.045860e+05  3.069000e+03  3.260000e+02      329.00000\n",
       "75%       24.000000  7.992912e+05  1.377425e+04  1.019250e+03     1285.00000\n",
       "max       43.000000  1.254322e+08  2.912710e+06  1.545017e+06   827755.00000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TO DESCRIBE ALL THE ATTRIBUTES IN THE LOG FORMAT\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c8738f10",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to remove the likes and views in higher order for e^n\n",
    "df['log_views'] = np.log(df['views'])\n",
    "# df['log_likes'] = np.log(df['likes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4c17b89c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing the bokeh libaries that are useful to complete the dataplotting\n",
    "from bokeh.plotting import figure , output_file, show\n",
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.models.tools import HoverTool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c804c8d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# showing the bokeh circle using the comment count and the likes count and the source is dataframe which we extracted\n",
    "fig = figure()\n",
    "p = fig.circle(x = 'likes', y = 'comment_count', source = df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9c99ea82",
   "metadata": {},
   "outputs": [],
   "source": [
    "#### showing the figure usibng the bokeh mode\n",
    "show(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d795389d",
   "metadata": {},
   "source": [
    "# outlier detection using the percentile and quantile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "deb53e51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "158879.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "max_threshold = df['likes'].quantile(0.96)\n",
    "max_threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "22b12e7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>thumbnail_link</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>video_error_or_removed</th>\n",
       "      <th>description</th>\n",
       "      <th>log_views</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ePO5M5DE01I</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Tiger Zinda Hai | Official Trailer | Salman Kh...</td>\n",
       "      <td>YRF</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-07T06:01:50.000Z</td>\n",
       "      <td>Tiger Zinda Hai Trailer|\"Tiger Zinda Hai Offic...</td>\n",
       "      <td>35885754</td>\n",
       "      <td>829362</td>\n",
       "      <td>61195</td>\n",
       "      <td>101117</td>\n",
       "      <td>https://i.ytimg.com/vi/ePO5M5DE01I/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Stay updated! 🔔 Subscribe Now: https://goo.gl/...</td>\n",
       "      <td>17.395851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2Vv-BfVoq4g</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Ed Sheeran - Perfect (Official Music Video)</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>10</td>\n",
       "      <td>2017-11-09T11:04:14.000Z</td>\n",
       "      <td>edsheeran|\"ed sheeran\"|\"acoustic\"|\"live\"|\"cove...</td>\n",
       "      <td>33523622</td>\n",
       "      <td>1634126</td>\n",
       "      <td>21082</td>\n",
       "      <td>85067</td>\n",
       "      <td>https://i.ytimg.com/vi/2Vv-BfVoq4g/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>🎧: https://ad.gt/yt-perfect\\n💰: https://atlant...</td>\n",
       "      <td>17.327761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>ePO5M5DE01I</td>\n",
       "      <td>17.15.11</td>\n",
       "      <td>Tiger Zinda Hai | Official Trailer | Salman Kh...</td>\n",
       "      <td>YRF</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-07T06:01:50.000Z</td>\n",
       "      <td>Tiger Zinda Hai Trailer|\"Tiger Zinda Hai Offic...</td>\n",
       "      <td>37533416</td>\n",
       "      <td>853550</td>\n",
       "      <td>62858</td>\n",
       "      <td>102740</td>\n",
       "      <td>https://i.ytimg.com/vi/ePO5M5DE01I/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Stay updated! 🔔 Subscribe Now: https://goo.gl/...</td>\n",
       "      <td>17.440742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>2Vv-BfVoq4g</td>\n",
       "      <td>17.15.11</td>\n",
       "      <td>Ed Sheeran - Perfect (Official Music Video)</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>10</td>\n",
       "      <td>2017-11-09T11:04:14.000Z</td>\n",
       "      <td>edsheeran|\"ed sheeran\"|\"acoustic\"|\"live\"|\"cove...</td>\n",
       "      <td>39082222</td>\n",
       "      <td>1721384</td>\n",
       "      <td>23137</td>\n",
       "      <td>90352</td>\n",
       "      <td>https://i.ytimg.com/vi/2Vv-BfVoq4g/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>🎧: https://ad.gt/yt-perfect\\n💰: https://atlant...</td>\n",
       "      <td>17.481178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>ePO5M5DE01I</td>\n",
       "      <td>17.16.11</td>\n",
       "      <td>Tiger Zinda Hai | Official Trailer | Salman Kh...</td>\n",
       "      <td>YRF</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-07T06:01:50.000Z</td>\n",
       "      <td>Tiger Zinda Hai Trailer|\"Tiger Zinda Hai Offic...</td>\n",
       "      <td>38664360</td>\n",
       "      <td>865914</td>\n",
       "      <td>63908</td>\n",
       "      <td>103907</td>\n",
       "      <td>https://i.ytimg.com/vi/ePO5M5DE01I/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Stay updated! 🔔 Subscribe Now: https://goo.gl/...</td>\n",
       "      <td>17.470429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>PjTU0DmBWiU</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>PRADA - JASS MANAK (Official Video) Satti Dhil...</td>\n",
       "      <td>Geet MP3</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-13T12:30:01.000Z</td>\n",
       "      <td>prada|\"prada song video\"|\"prada full song\"|\"pr...</td>\n",
       "      <td>3233766</td>\n",
       "      <td>279457</td>\n",
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       "      <td>30611</td>\n",
       "      <td>https://i.ytimg.com/vi/PjTU0DmBWiU/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Geet MP3 &amp; GK.DIGITAL Presenting Official Musi...</td>\n",
       "      <td>14.989158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37304</th>\n",
       "      <td>Zqv5CBWt9yA</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Bhuvan Bam- Safar | Official Music Video |</td>\n",
       "      <td>BB Ki Vines</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-13T07:13:43.000Z</td>\n",
       "      <td>safar|\"travel\"|\"bhuvan bam\"|\"music\"|\"journey\"|...</td>\n",
       "      <td>3854712</td>\n",
       "      <td>524135</td>\n",
       "      <td>14650</td>\n",
       "      <td>55735</td>\n",
       "      <td>https://i.ytimg.com/vi/Zqv5CBWt9yA/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Bhuvan Bam releases his 3rd single 'Safar' in ...</td>\n",
       "      <td>15.164807</td>\n",
       "    </tr>\n",
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       "      <th>37305</th>\n",
       "      <td>c7MwlTFQBEQ</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Soorma | Official Trailer | Diljit Dosanjh | T...</td>\n",
       "      <td>Sony Pictures Networks Productions</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-11T05:25:40.000Z</td>\n",
       "      <td>Soorma Official Trailer|\"Soorma\"|\"Diljit Dosan...</td>\n",
       "      <td>6725073</td>\n",
       "      <td>242373</td>\n",
       "      <td>3569</td>\n",
       "      <td>14606</td>\n",
       "      <td>https://i.ytimg.com/vi/c7MwlTFQBEQ/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Here's presenting the official trailer for the...</td>\n",
       "      <td>15.721353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37308</th>\n",
       "      <td>BAp-LNDkGOg</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Bollywood Vs Reality | Harsh Beniwal</td>\n",
       "      <td>Harsh Beniwal</td>\n",
       "      <td>23</td>\n",
       "      <td>2018-06-11T14:17:18.000Z</td>\n",
       "      <td>harsh beniwal|\"harsh beniwal new video\"|\"harsh...</td>\n",
       "      <td>3315697</td>\n",
       "      <td>322915</td>\n",
       "      <td>10068</td>\n",
       "      <td>28008</td>\n",
       "      <td>https://i.ytimg.com/vi/BAp-LNDkGOg/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Hey Everyone Check the latest Bollywood vs rea...</td>\n",
       "      <td>15.014178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37313</th>\n",
       "      <td>64UX1npgRkI</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Sanju: Kar Har Maidaan Fateh | Ranbir Kapoor |...</td>\n",
       "      <td>T-Series</td>\n",
       "      <td>10</td>\n",
       "      <td>2018-06-10T05:31:55.000Z</td>\n",
       "      <td>Kar Har Maidaan Fateh|\"kar har maidan fateh\"|\"...</td>\n",
       "      <td>19472216</td>\n",
       "      <td>309752</td>\n",
       "      <td>10303</td>\n",
       "      <td>21731</td>\n",
       "      <td>https://i.ytimg.com/vi/64UX1npgRkI/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>In the darkest of moments, it’s often your fam...</td>\n",
       "      <td>16.784499</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1494 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          video_id trending_date  \\\n",
       "17     ePO5M5DE01I      17.14.11   \n",
       "90     2Vv-BfVoq4g      17.14.11   \n",
       "262    ePO5M5DE01I      17.15.11   \n",
       "377    2Vv-BfVoq4g      17.15.11   \n",
       "545    ePO5M5DE01I      17.16.11   \n",
       "...            ...           ...   \n",
       "37303  PjTU0DmBWiU      18.14.06   \n",
       "37304  Zqv5CBWt9yA      18.14.06   \n",
       "37305  c7MwlTFQBEQ      18.14.06   \n",
       "37308  BAp-LNDkGOg      18.14.06   \n",
       "37313  64UX1npgRkI      18.14.06   \n",
       "\n",
       "                                                   title  \\\n",
       "17     Tiger Zinda Hai | Official Trailer | Salman Kh...   \n",
       "90           Ed Sheeran - Perfect (Official Music Video)   \n",
       "262    Tiger Zinda Hai | Official Trailer | Salman Kh...   \n",
       "377          Ed Sheeran - Perfect (Official Music Video)   \n",
       "545    Tiger Zinda Hai | Official Trailer | Salman Kh...   \n",
       "...                                                  ...   \n",
       "37303  PRADA - JASS MANAK (Official Video) Satti Dhil...   \n",
       "37304         Bhuvan Bam- Safar | Official Music Video |   \n",
       "37305  Soorma | Official Trailer | Diljit Dosanjh | T...   \n",
       "37308               Bollywood Vs Reality | Harsh Beniwal   \n",
       "37313  Sanju: Kar Har Maidaan Fateh | Ranbir Kapoor |...   \n",
       "\n",
       "                            channel_title  category_id  \\\n",
       "17                                    YRF            1   \n",
       "90                             Ed Sheeran           10   \n",
       "262                                   YRF            1   \n",
       "377                            Ed Sheeran           10   \n",
       "545                                   YRF            1   \n",
       "...                                   ...          ...   \n",
       "37303                            Geet MP3           24   \n",
       "37304                         BB Ki Vines           24   \n",
       "37305  Sony Pictures Networks Productions           24   \n",
       "37308                       Harsh Beniwal           23   \n",
       "37313                            T-Series           10   \n",
       "\n",
       "                   publish_time  \\\n",
       "17     2017-11-07T06:01:50.000Z   \n",
       "90     2017-11-09T11:04:14.000Z   \n",
       "262    2017-11-07T06:01:50.000Z   \n",
       "377    2017-11-09T11:04:14.000Z   \n",
       "545    2017-11-07T06:01:50.000Z   \n",
       "...                         ...   \n",
       "37303  2018-06-13T12:30:01.000Z   \n",
       "37304  2018-06-13T07:13:43.000Z   \n",
       "37305  2018-06-11T05:25:40.000Z   \n",
       "37308  2018-06-11T14:17:18.000Z   \n",
       "37313  2018-06-10T05:31:55.000Z   \n",
       "\n",
       "                                                    tags     views    likes  \\\n",
       "17     Tiger Zinda Hai Trailer|\"Tiger Zinda Hai Offic...  35885754   829362   \n",
       "90     edsheeran|\"ed sheeran\"|\"acoustic\"|\"live\"|\"cove...  33523622  1634126   \n",
       "262    Tiger Zinda Hai Trailer|\"Tiger Zinda Hai Offic...  37533416   853550   \n",
       "377    edsheeran|\"ed sheeran\"|\"acoustic\"|\"live\"|\"cove...  39082222  1721384   \n",
       "545    Tiger Zinda Hai Trailer|\"Tiger Zinda Hai Offic...  38664360   865914   \n",
       "...                                                  ...       ...      ...   \n",
       "37303  prada|\"prada song video\"|\"prada full song\"|\"pr...   3233766   279457   \n",
       "37304  safar|\"travel\"|\"bhuvan bam\"|\"music\"|\"journey\"|...   3854712   524135   \n",
       "37305  Soorma Official Trailer|\"Soorma\"|\"Diljit Dosan...   6725073   242373   \n",
       "37308  harsh beniwal|\"harsh beniwal new video\"|\"harsh...   3315697   322915   \n",
       "37313  Kar Har Maidaan Fateh|\"kar har maidan fateh\"|\"...  19472216   309752   \n",
       "\n",
       "       dislikes  comment_count  \\\n",
       "17        61195         101117   \n",
       "90        21082          85067   \n",
       "262       62858         102740   \n",
       "377       23137          90352   \n",
       "545       63908         103907   \n",
       "...         ...            ...   \n",
       "37303      3762          30611   \n",
       "37304     14650          55735   \n",
       "37305      3569          14606   \n",
       "37308     10068          28008   \n",
       "37313     10303          21731   \n",
       "\n",
       "                                       thumbnail_link  comments_disabled  \\\n",
       "17     https://i.ytimg.com/vi/ePO5M5DE01I/default.jpg              False   \n",
       "90     https://i.ytimg.com/vi/2Vv-BfVoq4g/default.jpg              False   \n",
       "262    https://i.ytimg.com/vi/ePO5M5DE01I/default.jpg              False   \n",
       "377    https://i.ytimg.com/vi/2Vv-BfVoq4g/default.jpg              False   \n",
       "545    https://i.ytimg.com/vi/ePO5M5DE01I/default.jpg              False   \n",
       "...                                               ...                ...   \n",
       "37303  https://i.ytimg.com/vi/PjTU0DmBWiU/default.jpg              False   \n",
       "37304  https://i.ytimg.com/vi/Zqv5CBWt9yA/default.jpg              False   \n",
       "37305  https://i.ytimg.com/vi/c7MwlTFQBEQ/default.jpg              False   \n",
       "37308  https://i.ytimg.com/vi/BAp-LNDkGOg/default.jpg              False   \n",
       "37313  https://i.ytimg.com/vi/64UX1npgRkI/default.jpg              False   \n",
       "\n",
       "       ratings_disabled  video_error_or_removed  \\\n",
       "17                False                   False   \n",
       "90                False                   False   \n",
       "262               False                   False   \n",
       "377               False                   False   \n",
       "545               False                   False   \n",
       "...                 ...                     ...   \n",
       "37303             False                   False   \n",
       "37304             False                   False   \n",
       "37305             False                   False   \n",
       "37308             False                   False   \n",
       "37313             False                   False   \n",
       "\n",
       "                                             description  log_views  \n",
       "17     Stay updated! 🔔 Subscribe Now: https://goo.gl/...  17.395851  \n",
       "90     🎧: https://ad.gt/yt-perfect\\n💰: https://atlant...  17.327761  \n",
       "262    Stay updated! 🔔 Subscribe Now: https://goo.gl/...  17.440742  \n",
       "377    🎧: https://ad.gt/yt-perfect\\n💰: https://atlant...  17.481178  \n",
       "545    Stay updated! 🔔 Subscribe Now: https://goo.gl/...  17.470429  \n",
       "...                                                  ...        ...  \n",
       "37303  Geet MP3 & GK.DIGITAL Presenting Official Musi...  14.989158  \n",
       "37304  Bhuvan Bam releases his 3rd single 'Safar' in ...  15.164807  \n",
       "37305  Here's presenting the official trailer for the...  15.721353  \n",
       "37308  Hey Everyone Check the latest Bollywood vs rea...  15.014178  \n",
       "37313  In the darkest of moments, it’s often your fam...  16.784499  \n",
       "\n",
       "[1494 rows x 17 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['likes'] > max_threshold]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6c0563f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1879.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_threshold = df['likes'].quantile(0.40)\n",
    "min_threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "672fa424",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>kzwfHumJyYc</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Sharry Mann: Cute Munda ( Song Teaser) | Parmi...</td>\n",
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       "      <td>Stylish Star Allu Arjun @ ChaySam Wedding Rece...</td>\n",
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       "      <td>473988</td>\n",
       "      <td>2011</td>\n",
       "      <td>243</td>\n",
       "      <td>149</td>\n",
       "      <td>https://i.ytimg.com/vi/10L1hZ9qa58/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Watch Stylish Star Allu Arjun @ ChaySam Weddin...</td>\n",
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       "      <td>17.14.11</td>\n",
       "      <td>Eruma Saani | Tamil vs English</td>\n",
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       "      <td>2684</td>\n",
       "      <td>https://i.ytimg.com/vi/N1vE8iiEg64/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>This video showcases the difference between pe...</td>\n",
       "      <td>14.032781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>il_pSa5l98w</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>MCA (Middle Class Abbayi) TEASER - Nani,Sai Pa...</td>\n",
       "      <td>Dil Raju</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-10T04:29:50.000Z</td>\n",
       "      <td>Nenu Local|\"Nenu Local Telugu Movie\"|\"Nani\"|\"S...</td>\n",
       "      <td>6106669</td>\n",
       "      <td>98612</td>\n",
       "      <td>4185</td>\n",
       "      <td>4763</td>\n",
       "      <td>https://i.ytimg.com/vi/il_pSa5l98w/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Watch MCA- Middle Class Abbayi First Look Teas...</td>\n",
       "      <td>15.624892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7MxiQ4v0EnE</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Daang ( Full Video ) | Mankirt Aulakh | Sukh S...</td>\n",
       "      <td>Speed Records</td>\n",
       "      <td>10</td>\n",
       "      <td>2017-11-11T16:41:15.000Z</td>\n",
       "      <td>punjabi songs|\"punjabi bhangra\"|\"punjabi music...</td>\n",
       "      <td>5718766</td>\n",
       "      <td>127477</td>\n",
       "      <td>7134</td>\n",
       "      <td>8063</td>\n",
       "      <td>https://i.ytimg.com/vi/7MxiQ4v0EnE/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Song - Daang\\nSinger - Mankirt Aulakh\\nFaceboo...</td>\n",
       "      <td>15.559264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37344</th>\n",
       "      <td>5gd1G0aeqtw</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>If everything on the internet was true | Comed...</td>\n",
       "      <td>Dreamz Unlimited</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-13T15:33:32.000Z</td>\n",
       "      <td>nagaland|\"northeast\"|\"facebook\"|\"whatsapp\"|\"so...</td>\n",
       "      <td>56313</td>\n",
       "      <td>6687</td>\n",
       "      <td>57</td>\n",
       "      <td>556</td>\n",
       "      <td>https://i.ytimg.com/vi/5gd1G0aeqtw/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Believing everything you see and hear on the i...</td>\n",
       "      <td>10.938681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37345</th>\n",
       "      <td>tR5FZC2FP-U</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Priyamanaval Episode 1040, 13/06/18</td>\n",
       "      <td>VikatanTV</td>\n",
       "      <td>43</td>\n",
       "      <td>2018-06-13T17:00:04.000Z</td>\n",
       "      <td>priyamanaval episode 1040|\"Priyamanaval 13.06....</td>\n",
       "      <td>535254</td>\n",
       "      <td>3105</td>\n",
       "      <td>1403</td>\n",
       "      <td>898</td>\n",
       "      <td>https://i.ytimg.com/vi/tR5FZC2FP-U/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Priyamanaval Episode 1040Subscribe: https://go...</td>\n",
       "      <td>13.190497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37346</th>\n",
       "      <td>8aMckaI9k00</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Indore Preview- Chacha Vidhayak Hai Humare - Z...</td>\n",
       "      <td>Zakir Khan</td>\n",
       "      <td>22</td>\n",
       "      <td>2018-06-13T14:18:31.000Z</td>\n",
       "      <td>[none]</td>\n",
       "      <td>274861</td>\n",
       "      <td>16448</td>\n",
       "      <td>183</td>\n",
       "      <td>834</td>\n",
       "      <td>https://i.ytimg.com/vi/8aMckaI9k00/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Suno, Sab sort karva denge. Chacha vidhayak ha...</td>\n",
       "      <td>12.524021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37347</th>\n",
       "      <td>iNHecA3PJCo</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>फेकू आशिक़ - राजस्थान की सबसे शानदार कॉमेडी | ...</td>\n",
       "      <td>RDC Rajasthani</td>\n",
       "      <td>23</td>\n",
       "      <td>2018-06-13T08:01:11.000Z</td>\n",
       "      <td>twinkle vaishnav comedy|\"twinkle vaishnav\"|\"tw...</td>\n",
       "      <td>214378</td>\n",
       "      <td>3291</td>\n",
       "      <td>404</td>\n",
       "      <td>196</td>\n",
       "      <td>https://i.ytimg.com/vi/iNHecA3PJCo/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>PRG Music &amp; RDC Rajasthani presents फेकू आशिक़...</td>\n",
       "      <td>12.275496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37351</th>\n",
       "      <td>wERgpPK44w0</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Ee Nagaraniki Emaindi Trailer | Tharun Bhascke...</td>\n",
       "      <td>Suresh Productions</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-10T04:29:54.000Z</td>\n",
       "      <td>Ee Nagaraniki Emaindi|\"Ee Nagaraniki Emaindi T...</td>\n",
       "      <td>1278249</td>\n",
       "      <td>22466</td>\n",
       "      <td>1609</td>\n",
       "      <td>1205</td>\n",
       "      <td>https://i.ytimg.com/vi/wERgpPK44w0/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Check out Ee Nagaraniki Emaindi Trailer #EeNag...</td>\n",
       "      <td>14.061002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22408 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          video_id trending_date  \\\n",
       "0      kzwfHumJyYc      17.14.11   \n",
       "2      10L1hZ9qa58      17.14.11   \n",
       "3      N1vE8iiEg64      17.14.11   \n",
       "5      il_pSa5l98w      17.14.11   \n",
       "6      7MxiQ4v0EnE      17.14.11   \n",
       "...            ...           ...   \n",
       "37344  5gd1G0aeqtw      18.14.06   \n",
       "37345  tR5FZC2FP-U      18.14.06   \n",
       "37346  8aMckaI9k00      18.14.06   \n",
       "37347  iNHecA3PJCo      18.14.06   \n",
       "37351  wERgpPK44w0      18.14.06   \n",
       "\n",
       "                                                   title       channel_title  \\\n",
       "0      Sharry Mann: Cute Munda ( Song Teaser) | Parmi...     Lokdhun Punjabi   \n",
       "2      Stylish Star Allu Arjun @ ChaySam Wedding Rece...                TFPC   \n",
       "3                         Eruma Saani | Tamil vs English         Eruma Saani   \n",
       "5      MCA (Middle Class Abbayi) TEASER - Nani,Sai Pa...            Dil Raju   \n",
       "6      Daang ( Full Video ) | Mankirt Aulakh | Sukh S...       Speed Records   \n",
       "...                                                  ...                 ...   \n",
       "37344  If everything on the internet was true | Comed...    Dreamz Unlimited   \n",
       "37345                Priyamanaval Episode 1040, 13/06/18           VikatanTV   \n",
       "37346  Indore Preview- Chacha Vidhayak Hai Humare - Z...          Zakir Khan   \n",
       "37347  फेकू आशिक़ - राजस्थान की सबसे शानदार कॉमेडी | ...      RDC Rajasthani   \n",
       "37351  Ee Nagaraniki Emaindi Trailer | Tharun Bhascke...  Suresh Productions   \n",
       "\n",
       "       category_id              publish_time  \\\n",
       "0                1  2017-11-12T12:20:39.000Z   \n",
       "2               24  2017-11-12T15:48:08.000Z   \n",
       "3               23  2017-11-12T07:08:48.000Z   \n",
       "5               24  2017-11-10T04:29:50.000Z   \n",
       "6               10  2017-11-11T16:41:15.000Z   \n",
       "...            ...                       ...   \n",
       "37344           24  2018-06-13T15:33:32.000Z   \n",
       "37345           43  2018-06-13T17:00:04.000Z   \n",
       "37346           22  2018-06-13T14:18:31.000Z   \n",
       "37347           23  2018-06-13T08:01:11.000Z   \n",
       "37351           24  2018-06-10T04:29:54.000Z   \n",
       "\n",
       "                                                    tags    views   likes  \\\n",
       "0      sharry mann|\"sharry mann new song\"|\"sharry man...  1096327   33966   \n",
       "2      Stylish Star Allu Arjun @ ChaySam Wedding Rece...   473988    2011   \n",
       "3      Eruma Saani|\"Tamil Comedy Videos\"|\"Films\"|\"Mov...  1242680   70353   \n",
       "5      Nenu Local|\"Nenu Local Telugu Movie\"|\"Nani\"|\"S...  6106669   98612   \n",
       "6      punjabi songs|\"punjabi bhangra\"|\"punjabi music...  5718766  127477   \n",
       "...                                                  ...      ...     ...   \n",
       "37344  nagaland|\"northeast\"|\"facebook\"|\"whatsapp\"|\"so...    56313    6687   \n",
       "37345  priyamanaval episode 1040|\"Priyamanaval 13.06....   535254    3105   \n",
       "37346                                             [none]   274861   16448   \n",
       "37347  twinkle vaishnav comedy|\"twinkle vaishnav\"|\"tw...   214378    3291   \n",
       "37351  Ee Nagaraniki Emaindi|\"Ee Nagaraniki Emaindi T...  1278249   22466   \n",
       "\n",
       "       dislikes  comment_count  \\\n",
       "0           798            882   \n",
       "2           243            149   \n",
       "3          1624           2684   \n",
       "5          4185           4763   \n",
       "6          7134           8063   \n",
       "...         ...            ...   \n",
       "37344        57            556   \n",
       "37345      1403            898   \n",
       "37346       183            834   \n",
       "37347       404            196   \n",
       "37351      1609           1205   \n",
       "\n",
       "                                       thumbnail_link  comments_disabled  \\\n",
       "0      https://i.ytimg.com/vi/kzwfHumJyYc/default.jpg              False   \n",
       "2      https://i.ytimg.com/vi/10L1hZ9qa58/default.jpg              False   \n",
       "3      https://i.ytimg.com/vi/N1vE8iiEg64/default.jpg              False   \n",
       "5      https://i.ytimg.com/vi/il_pSa5l98w/default.jpg              False   \n",
       "6      https://i.ytimg.com/vi/7MxiQ4v0EnE/default.jpg              False   \n",
       "...                                               ...                ...   \n",
       "37344  https://i.ytimg.com/vi/5gd1G0aeqtw/default.jpg              False   \n",
       "37345  https://i.ytimg.com/vi/tR5FZC2FP-U/default.jpg              False   \n",
       "37346  https://i.ytimg.com/vi/8aMckaI9k00/default.jpg              False   \n",
       "37347  https://i.ytimg.com/vi/iNHecA3PJCo/default.jpg              False   \n",
       "37351  https://i.ytimg.com/vi/wERgpPK44w0/default.jpg              False   \n",
       "\n",
       "       ratings_disabled  video_error_or_removed  \\\n",
       "0                 False                   False   \n",
       "2                 False                   False   \n",
       "3                 False                   False   \n",
       "5                 False                   False   \n",
       "6                 False                   False   \n",
       "...                 ...                     ...   \n",
       "37344             False                   False   \n",
       "37345             False                   False   \n",
       "37346             False                   False   \n",
       "37347             False                   False   \n",
       "37351             False                   False   \n",
       "\n",
       "                                             description  log_views  \n",
       "0      Presenting Sharry Mann latest Punjabi Song  Cu...  13.907476  \n",
       "2      Watch Stylish Star Allu Arjun @ ChaySam Weddin...  13.068937  \n",
       "3      This video showcases the difference between pe...  14.032781  \n",
       "5      Watch MCA- Middle Class Abbayi First Look Teas...  15.624892  \n",
       "6      Song - Daang\\nSinger - Mankirt Aulakh\\nFaceboo...  15.559264  \n",
       "...                                                  ...        ...  \n",
       "37344  Believing everything you see and hear on the i...  10.938681  \n",
       "37345  Priyamanaval Episode 1040Subscribe: https://go...  13.190497  \n",
       "37346  Suno, Sab sort karva denge. Chacha vidhayak ha...  12.524021  \n",
       "37347  PRG Music & RDC Rajasthani presents फेकू आशिक़...  12.275496  \n",
       "37351  Check out Ee Nagaraniki Emaindi Trailer #EeNag...  14.061002  \n",
       "\n",
       "[22408 rows x 17 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['likes'] > min_threshold]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bff3246a",
   "metadata": {},
   "source": [
    "# Extracting the final dataset using the outlier detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "80068d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>video_id</th>\n",
       "      <th>trending_date</th>\n",
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       "      <th>channel_title</th>\n",
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       "      <th>tags</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>kzwfHumJyYc</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Sharry Mann: Cute Munda ( Song Teaser) | Parmi...</td>\n",
       "      <td>Lokdhun Punjabi</td>\n",
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       "      <td>2017-11-12T12:20:39.000Z</td>\n",
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       "      <td>1096327</td>\n",
       "      <td>33966</td>\n",
       "      <td>798</td>\n",
       "      <td>882</td>\n",
       "      <td>https://i.ytimg.com/vi/kzwfHumJyYc/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Presenting Sharry Mann latest Punjabi Song  Cu...</td>\n",
       "      <td>13.907476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10L1hZ9qa58</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Stylish Star Allu Arjun @ ChaySam Wedding Rece...</td>\n",
       "      <td>TFPC</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-12T15:48:08.000Z</td>\n",
       "      <td>Stylish Star Allu Arjun @ ChaySam Wedding Rece...</td>\n",
       "      <td>473988</td>\n",
       "      <td>2011</td>\n",
       "      <td>243</td>\n",
       "      <td>149</td>\n",
       "      <td>https://i.ytimg.com/vi/10L1hZ9qa58/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Watch Stylish Star Allu Arjun @ ChaySam Weddin...</td>\n",
       "      <td>13.068937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>N1vE8iiEg64</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Eruma Saani | Tamil vs English</td>\n",
       "      <td>Eruma Saani</td>\n",
       "      <td>23</td>\n",
       "      <td>2017-11-12T07:08:48.000Z</td>\n",
       "      <td>Eruma Saani|\"Tamil Comedy Videos\"|\"Films\"|\"Mov...</td>\n",
       "      <td>1242680</td>\n",
       "      <td>70353</td>\n",
       "      <td>1624</td>\n",
       "      <td>2684</td>\n",
       "      <td>https://i.ytimg.com/vi/N1vE8iiEg64/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>This video showcases the difference between pe...</td>\n",
       "      <td>14.032781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>il_pSa5l98w</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>MCA (Middle Class Abbayi) TEASER - Nani,Sai Pa...</td>\n",
       "      <td>Dil Raju</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-10T04:29:50.000Z</td>\n",
       "      <td>Nenu Local|\"Nenu Local Telugu Movie\"|\"Nani\"|\"S...</td>\n",
       "      <td>6106669</td>\n",
       "      <td>98612</td>\n",
       "      <td>4185</td>\n",
       "      <td>4763</td>\n",
       "      <td>https://i.ytimg.com/vi/il_pSa5l98w/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Watch MCA- Middle Class Abbayi First Look Teas...</td>\n",
       "      <td>15.624892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7MxiQ4v0EnE</td>\n",
       "      <td>17.14.11</td>\n",
       "      <td>Daang ( Full Video ) | Mankirt Aulakh | Sukh S...</td>\n",
       "      <td>Speed Records</td>\n",
       "      <td>10</td>\n",
       "      <td>2017-11-11T16:41:15.000Z</td>\n",
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       "      <td>5718766</td>\n",
       "      <td>127477</td>\n",
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       "      <td>8063</td>\n",
       "      <td>https://i.ytimg.com/vi/7MxiQ4v0EnE/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Song - Daang\\nSinger - Mankirt Aulakh\\nFaceboo...</td>\n",
       "      <td>15.559264</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37344</th>\n",
       "      <td>5gd1G0aeqtw</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>If everything on the internet was true | Comed...</td>\n",
       "      <td>Dreamz Unlimited</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-13T15:33:32.000Z</td>\n",
       "      <td>nagaland|\"northeast\"|\"facebook\"|\"whatsapp\"|\"so...</td>\n",
       "      <td>56313</td>\n",
       "      <td>6687</td>\n",
       "      <td>57</td>\n",
       "      <td>556</td>\n",
       "      <td>https://i.ytimg.com/vi/5gd1G0aeqtw/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Believing everything you see and hear on the i...</td>\n",
       "      <td>10.938681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37345</th>\n",
       "      <td>tR5FZC2FP-U</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Priyamanaval Episode 1040, 13/06/18</td>\n",
       "      <td>VikatanTV</td>\n",
       "      <td>43</td>\n",
       "      <td>2018-06-13T17:00:04.000Z</td>\n",
       "      <td>priyamanaval episode 1040|\"Priyamanaval 13.06....</td>\n",
       "      <td>535254</td>\n",
       "      <td>3105</td>\n",
       "      <td>1403</td>\n",
       "      <td>898</td>\n",
       "      <td>https://i.ytimg.com/vi/tR5FZC2FP-U/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Priyamanaval Episode 1040Subscribe: https://go...</td>\n",
       "      <td>13.190497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37346</th>\n",
       "      <td>8aMckaI9k00</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Indore Preview- Chacha Vidhayak Hai Humare - Z...</td>\n",
       "      <td>Zakir Khan</td>\n",
       "      <td>22</td>\n",
       "      <td>2018-06-13T14:18:31.000Z</td>\n",
       "      <td>[none]</td>\n",
       "      <td>274861</td>\n",
       "      <td>16448</td>\n",
       "      <td>183</td>\n",
       "      <td>834</td>\n",
       "      <td>https://i.ytimg.com/vi/8aMckaI9k00/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Suno, Sab sort karva denge. Chacha vidhayak ha...</td>\n",
       "      <td>12.524021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37347</th>\n",
       "      <td>iNHecA3PJCo</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>फेकू आशिक़ - राजस्थान की सबसे शानदार कॉमेडी | ...</td>\n",
       "      <td>RDC Rajasthani</td>\n",
       "      <td>23</td>\n",
       "      <td>2018-06-13T08:01:11.000Z</td>\n",
       "      <td>twinkle vaishnav comedy|\"twinkle vaishnav\"|\"tw...</td>\n",
       "      <td>214378</td>\n",
       "      <td>3291</td>\n",
       "      <td>404</td>\n",
       "      <td>196</td>\n",
       "      <td>https://i.ytimg.com/vi/iNHecA3PJCo/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>PRG Music &amp; RDC Rajasthani presents फेकू आशिक़...</td>\n",
       "      <td>12.275496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37351</th>\n",
       "      <td>wERgpPK44w0</td>\n",
       "      <td>18.14.06</td>\n",
       "      <td>Ee Nagaraniki Emaindi Trailer | Tharun Bhascke...</td>\n",
       "      <td>Suresh Productions</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-10T04:29:54.000Z</td>\n",
       "      <td>Ee Nagaraniki Emaindi|\"Ee Nagaraniki Emaindi T...</td>\n",
       "      <td>1278249</td>\n",
       "      <td>22466</td>\n",
       "      <td>1609</td>\n",
       "      <td>1205</td>\n",
       "      <td>https://i.ytimg.com/vi/wERgpPK44w0/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Check out Ee Nagaraniki Emaindi Trailer #EeNag...</td>\n",
       "      <td>14.061002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20912 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          video_id trending_date  \\\n",
       "0      kzwfHumJyYc      17.14.11   \n",
       "2      10L1hZ9qa58      17.14.11   \n",
       "3      N1vE8iiEg64      17.14.11   \n",
       "5      il_pSa5l98w      17.14.11   \n",
       "6      7MxiQ4v0EnE      17.14.11   \n",
       "...            ...           ...   \n",
       "37344  5gd1G0aeqtw      18.14.06   \n",
       "37345  tR5FZC2FP-U      18.14.06   \n",
       "37346  8aMckaI9k00      18.14.06   \n",
       "37347  iNHecA3PJCo      18.14.06   \n",
       "37351  wERgpPK44w0      18.14.06   \n",
       "\n",
       "                                                   title       channel_title  \\\n",
       "0      Sharry Mann: Cute Munda ( Song Teaser) | Parmi...     Lokdhun Punjabi   \n",
       "2      Stylish Star Allu Arjun @ ChaySam Wedding Rece...                TFPC   \n",
       "3                         Eruma Saani | Tamil vs English         Eruma Saani   \n",
       "5      MCA (Middle Class Abbayi) TEASER - Nani,Sai Pa...            Dil Raju   \n",
       "6      Daang ( Full Video ) | Mankirt Aulakh | Sukh S...       Speed Records   \n",
       "...                                                  ...                 ...   \n",
       "37344  If everything on the internet was true | Comed...    Dreamz Unlimited   \n",
       "37345                Priyamanaval Episode 1040, 13/06/18           VikatanTV   \n",
       "37346  Indore Preview- Chacha Vidhayak Hai Humare - Z...          Zakir Khan   \n",
       "37347  फेकू आशिक़ - राजस्थान की सबसे शानदार कॉमेडी | ...      RDC Rajasthani   \n",
       "37351  Ee Nagaraniki Emaindi Trailer | Tharun Bhascke...  Suresh Productions   \n",
       "\n",
       "       category_id              publish_time  \\\n",
       "0                1  2017-11-12T12:20:39.000Z   \n",
       "2               24  2017-11-12T15:48:08.000Z   \n",
       "3               23  2017-11-12T07:08:48.000Z   \n",
       "5               24  2017-11-10T04:29:50.000Z   \n",
       "6               10  2017-11-11T16:41:15.000Z   \n",
       "...            ...                       ...   \n",
       "37344           24  2018-06-13T15:33:32.000Z   \n",
       "37345           43  2018-06-13T17:00:04.000Z   \n",
       "37346           22  2018-06-13T14:18:31.000Z   \n",
       "37347           23  2018-06-13T08:01:11.000Z   \n",
       "37351           24  2018-06-10T04:29:54.000Z   \n",
       "\n",
       "                                                    tags    views   likes  \\\n",
       "0      sharry mann|\"sharry mann new song\"|\"sharry man...  1096327   33966   \n",
       "2      Stylish Star Allu Arjun @ ChaySam Wedding Rece...   473988    2011   \n",
       "3      Eruma Saani|\"Tamil Comedy Videos\"|\"Films\"|\"Mov...  1242680   70353   \n",
       "5      Nenu Local|\"Nenu Local Telugu Movie\"|\"Nani\"|\"S...  6106669   98612   \n",
       "6      punjabi songs|\"punjabi bhangra\"|\"punjabi music...  5718766  127477   \n",
       "...                                                  ...      ...     ...   \n",
       "37344  nagaland|\"northeast\"|\"facebook\"|\"whatsapp\"|\"so...    56313    6687   \n",
       "37345  priyamanaval episode 1040|\"Priyamanaval 13.06....   535254    3105   \n",
       "37346                                             [none]   274861   16448   \n",
       "37347  twinkle vaishnav comedy|\"twinkle vaishnav\"|\"tw...   214378    3291   \n",
       "37351  Ee Nagaraniki Emaindi|\"Ee Nagaraniki Emaindi T...  1278249   22466   \n",
       "\n",
       "       dislikes  comment_count  \\\n",
       "0           798            882   \n",
       "2           243            149   \n",
       "3          1624           2684   \n",
       "5          4185           4763   \n",
       "6          7134           8063   \n",
       "...         ...            ...   \n",
       "37344        57            556   \n",
       "37345      1403            898   \n",
       "37346       183            834   \n",
       "37347       404            196   \n",
       "37351      1609           1205   \n",
       "\n",
       "                                       thumbnail_link  comments_disabled  \\\n",
       "0      https://i.ytimg.com/vi/kzwfHumJyYc/default.jpg              False   \n",
       "2      https://i.ytimg.com/vi/10L1hZ9qa58/default.jpg              False   \n",
       "3      https://i.ytimg.com/vi/N1vE8iiEg64/default.jpg              False   \n",
       "5      https://i.ytimg.com/vi/il_pSa5l98w/default.jpg              False   \n",
       "6      https://i.ytimg.com/vi/7MxiQ4v0EnE/default.jpg              False   \n",
       "...                                               ...                ...   \n",
       "37344  https://i.ytimg.com/vi/5gd1G0aeqtw/default.jpg              False   \n",
       "37345  https://i.ytimg.com/vi/tR5FZC2FP-U/default.jpg              False   \n",
       "37346  https://i.ytimg.com/vi/8aMckaI9k00/default.jpg              False   \n",
       "37347  https://i.ytimg.com/vi/iNHecA3PJCo/default.jpg              False   \n",
       "37351  https://i.ytimg.com/vi/wERgpPK44w0/default.jpg              False   \n",
       "\n",
       "       ratings_disabled  video_error_or_removed  \\\n",
       "0                 False                   False   \n",
       "2                 False                   False   \n",
       "3                 False                   False   \n",
       "5                 False                   False   \n",
       "6                 False                   False   \n",
       "...                 ...                     ...   \n",
       "37344             False                   False   \n",
       "37345             False                   False   \n",
       "37346             False                   False   \n",
       "37347             False                   False   \n",
       "37351             False                   False   \n",
       "\n",
       "                                             description  log_views  \n",
       "0      Presenting Sharry Mann latest Punjabi Song  Cu...  13.907476  \n",
       "2      Watch Stylish Star Allu Arjun @ ChaySam Weddin...  13.068937  \n",
       "3      This video showcases the difference between pe...  14.032781  \n",
       "5      Watch MCA- Middle Class Abbayi First Look Teas...  15.624892  \n",
       "6      Song - Daang\\nSinger - Mankirt Aulakh\\nFaceboo...  15.559264  \n",
       "...                                                  ...        ...  \n",
       "37344  Believing everything you see and hear on the i...  10.938681  \n",
       "37345  Priyamanaval Episode 1040Subscribe: https://go...  13.190497  \n",
       "37346  Suno, Sab sort karva denge. Chacha vidhayak ha...  12.524021  \n",
       "37347  PRG Music & RDC Rajasthani presents फेकू आशिक़...  12.275496  \n",
       "37351  Check out Ee Nagaraniki Emaindi Trailer #EeNag...  14.061002  \n",
       "\n",
       "[20912 rows x 17 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[(df['likes']<max_threshold) & (df['likes'] > min_threshold)]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5a80a69e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to remove the likes and views in higher order for e^n\n",
    "df['log_views'] = np.log(df['views'])\n",
    "df['log_likes'] = np.log(df['likes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f31c9007",
   "metadata": {},
   "outputs": [],
   "source": [
    "# For hovering over information\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"Title\", \"@title\"),\n",
    "    (\"Channel\",\"@channelTitle\"),\n",
    "    (\"Views\", \"@view_count\")\n",
    "]\n",
    "\n",
    "fig1 = figure(tooltips = TOOLTIPS)\n",
    "p = fig1.circle(x='log_views', y= 'log_likes',source = df)\n",
    "\n",
    "# adding axis labels and coloring the graph plots\n",
    "fig1.xaxis.axis_label = 'Likes'\n",
    "fig1.yaxis.axis_label = 'Views'\n",
    "glyph = p.glyph\n",
    "glyph.size = 15\n",
    "glyph.fill_alpha = 0.3\n",
    "glyph.fill_color = \"green\"\n",
    "glyph.line_color = \"grey\"\n",
    "glyph.line_dash = [6, 3]\n",
    "glyph.line_width = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00de46a8",
   "metadata": {},
   "source": [
    "# glyphs are the data points where it is plotted on the graph to understand what video has what trending update. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "aac6faa4",
   "metadata": {},
   "outputs": [],
   "source": [
    "show(fig1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64fc6a33",
   "metadata": {},
   "source": [
    "# category id grouping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fdb74222",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>video_id</th>\n",
       "      <th>trending_date</th>\n",
       "      <th>title</th>\n",
       "      <th>channel_title</th>\n",
       "      <th>publish_time</th>\n",
       "      <th>tags</th>\n",
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       "      <th>video_error_or_removed</th>\n",
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       "      <th>log_views</th>\n",
       "      <th>log_likes</th>\n",
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       "      <td>1226</td>\n",
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       "      <td>1226</td>\n",
       "      <td>1226</td>\n",
       "      <td>1226</td>\n",
       "      <td>1220</td>\n",
       "      <td>1226</td>\n",
       "      <td>1226</td>\n",
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       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
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       "      <td>41</td>\n",
       "      <td>41</td>\n",
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       "      <td>41</td>\n",
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       "      <td>3047</td>\n",
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       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "      <td>3047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
       "      <td>495</td>\n",
       "      <td>501</td>\n",
       "      <td>501</td>\n",
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       "      <th>19</th>\n",
       "      <td>3</td>\n",
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       "      <td>3</td>\n",
       "      <td>3</td>\n",
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       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
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       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
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       "      <td>3</td>\n",
       "      <td>3</td>\n",
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       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
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       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "      <td>1171</td>\n",
       "      <td>1196</td>\n",
       "      <td>1196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "      <td>2790</td>\n",
       "      <td>2810</td>\n",
       "      <td>2810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "      <td>7993</td>\n",
       "      <td>8083</td>\n",
       "      <td>8083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "      <td>1886</td>\n",
       "      <td>1905</td>\n",
       "      <td>1905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "      <td>523</td>\n",
       "      <td>528</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "      <td>774</td>\n",
       "      <td>780</td>\n",
       "      <td>780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "      <td>505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             video_id  trending_date  title  channel_title  publish_time  \\\n",
       "category_id                                                                \n",
       "1                1226           1226   1226           1226          1226   \n",
       "2                  41             41     41             41            41   \n",
       "10               3047           3047   3047           3047          3047   \n",
       "17                501            501    501            501           501   \n",
       "19                  3              3      3              3             3   \n",
       "20                 52             52     52             52            52   \n",
       "22               1196           1196   1196           1196          1196   \n",
       "23               2810           2810   2810           2810          2810   \n",
       "24               8083           8083   8083           8083          8083   \n",
       "25               1905           1905   1905           1905          1905   \n",
       "26                528            528    528            528           528   \n",
       "27                780            780    780            780           780   \n",
       "28                505            505    505            505           505   \n",
       "29                 39             39     39             39            39   \n",
       "30                 15             15     15             15            15   \n",
       "43                181            181    181            181           181   \n",
       "\n",
       "             tags  views  likes  dislikes  comment_count  thumbnail_link  \\\n",
       "category_id                                                                \n",
       "1            1226   1226   1226      1226           1226            1226   \n",
       "2              41     41     41        41             41              41   \n",
       "10           3047   3047   3047      3047           3047            3047   \n",
       "17            501    501    501       501            501             501   \n",
       "19              3      3      3         3              3               3   \n",
       "20             52     52     52        52             52              52   \n",
       "22           1196   1196   1196      1196           1196            1196   \n",
       "23           2810   2810   2810      2810           2810            2810   \n",
       "24           8083   8083   8083      8083           8083            8083   \n",
       "25           1905   1905   1905      1905           1905            1905   \n",
       "26            528    528    528       528            528             528   \n",
       "27            780    780    780       780            780             780   \n",
       "28            505    505    505       505            505             505   \n",
       "29             39     39     39        39             39              39   \n",
       "30             15     15     15        15             15              15   \n",
       "43            181    181    181       181            181             181   \n",
       "\n",
       "             comments_disabled  ratings_disabled  video_error_or_removed  \\\n",
       "category_id                                                                \n",
       "1                         1226              1226                    1226   \n",
       "2                           41                41                      41   \n",
       "10                        3047              3047                    3047   \n",
       "17                         501               501                     501   \n",
       "19                           3                 3                       3   \n",
       "20                          52                52                      52   \n",
       "22                        1196              1196                    1196   \n",
       "23                        2810              2810                    2810   \n",
       "24                        8083              8083                    8083   \n",
       "25                        1905              1905                    1905   \n",
       "26                         528               528                     528   \n",
       "27                         780               780                     780   \n",
       "28                         505               505                     505   \n",
       "29                          39                39                      39   \n",
       "30                          15                15                      15   \n",
       "43                         181               181                     181   \n",
       "\n",
       "             description  log_views  log_likes  \n",
       "category_id                                     \n",
       "1                   1220       1226       1226  \n",
       "2                     41         41         41  \n",
       "10                  3047       3047       3047  \n",
       "17                   495        501        501  \n",
       "19                     3          3          3  \n",
       "20                    52         52         52  \n",
       "22                  1171       1196       1196  \n",
       "23                  2790       2810       2810  \n",
       "24                  7993       8083       8083  \n",
       "25                  1886       1905       1905  \n",
       "26                   523        528        528  \n",
       "27                   774        780        780  \n",
       "28                   505        505        505  \n",
       "29                    39         39         39  \n",
       "30                    15         15         15  \n",
       "43                   181        181        181  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('category_id').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5373701e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ID -> Category Name\n",
    "# 1 --> Film and animation\n",
    "# 2 --> Autos and vehicles\n",
    "# 10 --> Music\n",
    "# 15 --> Pets and Animals\n",
    "# 17 --> Sports\n",
    "# 19 --> Travel and Events\n",
    "# 20 --> Gaming\n",
    "# 22 --> People and Blogs\n",
    "# 23 --> Comedy\n",
    "# 24 --> Entertainment\n",
    "# 25 --> News and politics\n",
    "# 26 --> How to style\n",
    "# 27 --> Education\n",
    "# 28 --> Science and Technology\n",
    "# 29 --> Non-profits and Activism"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c84dcd4",
   "metadata": {},
   "source": [
    " # Here we have the entertainment category as the highest view count and next the music category so we will create other dataframe for it and sort it by view count."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5fa9c5a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "entertainment = df[df['category_id'] == 24]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "93e1f7c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>video_id</th>\n",
       "      <th>trending_date</th>\n",
       "      <th>title</th>\n",
       "      <th>channel_title</th>\n",
       "      <th>category_id</th>\n",
       "      <th>publish_time</th>\n",
       "      <th>tags</th>\n",
       "      <th>views</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>thumbnail_link</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>video_error_or_removed</th>\n",
       "      <th>description</th>\n",
       "      <th>log_views</th>\n",
       "      <th>log_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1861</th>\n",
       "      <td>coOKvrsmQiI</td>\n",
       "      <td>17.23.11</td>\n",
       "      <td>RAMPAGE - OFFICIAL TRAILER 1 [HD]</td>\n",
       "      <td>Warner Bros. Pictures</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-16T21:15:08.000Z</td>\n",
       "      <td>Rampage|\"Rampage the Movie\"|\"The Rock\"|\"Dwayne...</td>\n",
       "      <td>16199598</td>\n",
       "      <td>149353</td>\n",
       "      <td>13055</td>\n",
       "      <td>26336</td>\n",
       "      <td>https://i.ytimg.com/vi/coOKvrsmQiI/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>In Theaters April 20, 2018\\n\\nwww.RampageTheMo...</td>\n",
       "      <td>16.600497</td>\n",
       "      <td>11.914068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3781</th>\n",
       "      <td>sXAwqoJ-WUA</td>\n",
       "      <td>17.03.12</td>\n",
       "      <td>LIE (2017) Full Movie in Hindi | Nithiin, Arju...</td>\n",
       "      <td>RKD Digital</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-25T20:06:32.000Z</td>\n",
       "      <td>lie full movie in hindi|\"lie 2017 hindi dubbed...</td>\n",
       "      <td>16151630</td>\n",
       "      <td>82998</td>\n",
       "      <td>7852</td>\n",
       "      <td>4120</td>\n",
       "      <td>https://i.ytimg.com/vi/sXAwqoJ-WUA/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>The wait is finally over! LIE - One of the mos...</td>\n",
       "      <td>16.597532</td>\n",
       "      <td>11.326572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>coOKvrsmQiI</td>\n",
       "      <td>17.22.11</td>\n",
       "      <td>RAMPAGE - OFFICIAL TRAILER 1 [HD]</td>\n",
       "      <td>Warner Bros. Pictures</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-16T21:15:08.000Z</td>\n",
       "      <td>Rampage|\"Rampage the Movie\"|\"The Rock\"|\"Dwayne...</td>\n",
       "      <td>15104666</td>\n",
       "      <td>143947</td>\n",
       "      <td>12709</td>\n",
       "      <td>25593</td>\n",
       "      <td>https://i.ytimg.com/vi/coOKvrsmQiI/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>In Theaters April 20, 2018\\n\\nwww.RampageTheMo...</td>\n",
       "      <td>16.530514</td>\n",
       "      <td>11.877200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1606</th>\n",
       "      <td>coOKvrsmQiI</td>\n",
       "      <td>17.22.11</td>\n",
       "      <td>RAMPAGE - OFFICIAL TRAILER 1 [HD]</td>\n",
       "      <td>Warner Bros. Pictures</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-16T21:15:08.000Z</td>\n",
       "      <td>Rampage|\"Rampage the Movie\"|\"The Rock\"|\"Dwayne...</td>\n",
       "      <td>15104666</td>\n",
       "      <td>143947</td>\n",
       "      <td>12709</td>\n",
       "      <td>25593</td>\n",
       "      <td>https://i.ytimg.com/vi/coOKvrsmQiI/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>In Theaters April 20, 2018\\n\\nwww.RampageTheMo...</td>\n",
       "      <td>16.530514</td>\n",
       "      <td>11.877200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3552</th>\n",
       "      <td>sXAwqoJ-WUA</td>\n",
       "      <td>17.02.12</td>\n",
       "      <td>LIE (2017) Full Movie in Hindi | Nithiin, Arju...</td>\n",
       "      <td>RKD Digital</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-25T20:06:32.000Z</td>\n",
       "      <td>lie full movie in hindi|\"lie 2017 hindi dubbed...</td>\n",
       "      <td>14723564</td>\n",
       "      <td>78373</td>\n",
       "      <td>7278</td>\n",
       "      <td>4080</td>\n",
       "      <td>https://i.ytimg.com/vi/sXAwqoJ-WUA/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>The wait is finally over! LIE - One of the mos...</td>\n",
       "      <td>16.504960</td>\n",
       "      <td>11.269235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34060</th>\n",
       "      <td>kPFF4iYp0iI</td>\n",
       "      <td>18.27.05</td>\n",
       "      <td>TYPES OF INDIAN SINGERS !</td>\n",
       "      <td>Love Rudrakash</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-05-26T14:05:03.000Z</td>\n",
       "      <td>Types of singer|\"types of funny songs\"|\"funny ...</td>\n",
       "      <td>30832</td>\n",
       "      <td>3013</td>\n",
       "      <td>321</td>\n",
       "      <td>512</td>\n",
       "      <td>https://i.ytimg.com/vi/kPFF4iYp0iI/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Hello Guys You Must Have Seen Amazing Singer b...</td>\n",
       "      <td>10.336308</td>\n",
       "      <td>8.010692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36946</th>\n",
       "      <td>59daH3-_LIg</td>\n",
       "      <td>18.12.06</td>\n",
       "      <td>LOVE AATA | CAPDT</td>\n",
       "      <td>CAPDT</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-06-11T12:29:18.000Z</td>\n",
       "      <td>capdt|\"capdt facebook\"|\"capdt latest video\"|\"l...</td>\n",
       "      <td>30244</td>\n",
       "      <td>2624</td>\n",
       "      <td>59</td>\n",
       "      <td>393</td>\n",
       "      <td>https://i.ytimg.com/vi/59daH3-_LIg/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Here is our latest video Love ఆట Directed by S...</td>\n",
       "      <td>10.317053</td>\n",
       "      <td>7.872455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1445</th>\n",
       "      <td>dh2IPikoM7k</td>\n",
       "      <td>17.21.11</td>\n",
       "      <td>Condom | Comedy | Message</td>\n",
       "      <td>Dreamz Unlimited</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-11-20T13:08:54.000Z</td>\n",
       "      <td>condom|\"ad\"|\"dreamzunlimited\"|\"comedy\"|\"nagala...</td>\n",
       "      <td>29665</td>\n",
       "      <td>2234</td>\n",
       "      <td>16</td>\n",
       "      <td>156</td>\n",
       "      <td>https://i.ytimg.com/vi/dh2IPikoM7k/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>With new cases of AIDs numbers skyrocketing in...</td>\n",
       "      <td>10.297723</td>\n",
       "      <td>7.711549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11059</th>\n",
       "      <td>8YW59mzQY3Q</td>\n",
       "      <td>18.13.01</td>\n",
       "      <td>Routes of Transmission | Awareness | Dreamz Un...</td>\n",
       "      <td>Dreamz Unlimited</td>\n",
       "      <td>24</td>\n",
       "      <td>2018-01-12T13:59:33.000Z</td>\n",
       "      <td>hiv|\"aids\"|\"condom\"|\"naga\"|\"nagaland\"|\"nsacs\"|...</td>\n",
       "      <td>22955</td>\n",
       "      <td>1886</td>\n",
       "      <td>18</td>\n",
       "      <td>113</td>\n",
       "      <td>https://i.ytimg.com/vi/8YW59mzQY3Q/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>AIDS is not a virus but a set of symptoms (or ...</td>\n",
       "      <td>10.041291</td>\n",
       "      <td>7.542213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5244</th>\n",
       "      <td>mhHkdxAwEa4</td>\n",
       "      <td>17.11.12</td>\n",
       "      <td>He VS She | Hyderabadi Comedy | Kantri Guyz</td>\n",
       "      <td>Kantriguyz - Hyderabadi Comedy Videos</td>\n",
       "      <td>24</td>\n",
       "      <td>2017-12-10T12:04:57.000Z</td>\n",
       "      <td>hyderabadi style|\"comedy\"|\"kantri guyz\"|\"hyder...</td>\n",
       "      <td>18824</td>\n",
       "      <td>1970</td>\n",
       "      <td>53</td>\n",
       "      <td>281</td>\n",
       "      <td>https://i.ytimg.com/vi/mhHkdxAwEa4/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>How a girl is always right and a boy who is al...</td>\n",
       "      <td>9.842888</td>\n",
       "      <td>7.585789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8083 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          video_id trending_date  \\\n",
       "1861   coOKvrsmQiI      17.23.11   \n",
       "3781   sXAwqoJ-WUA      17.03.12   \n",
       "1721   coOKvrsmQiI      17.22.11   \n",
       "1606   coOKvrsmQiI      17.22.11   \n",
       "3552   sXAwqoJ-WUA      17.02.12   \n",
       "...            ...           ...   \n",
       "34060  kPFF4iYp0iI      18.27.05   \n",
       "36946  59daH3-_LIg      18.12.06   \n",
       "1445   dh2IPikoM7k      17.21.11   \n",
       "11059  8YW59mzQY3Q      18.13.01   \n",
       "5244   mhHkdxAwEa4      17.11.12   \n",
       "\n",
       "                                                   title  \\\n",
       "1861                   RAMPAGE - OFFICIAL TRAILER 1 [HD]   \n",
       "3781   LIE (2017) Full Movie in Hindi | Nithiin, Arju...   \n",
       "1721                   RAMPAGE - OFFICIAL TRAILER 1 [HD]   \n",
       "1606                   RAMPAGE - OFFICIAL TRAILER 1 [HD]   \n",
       "3552   LIE (2017) Full Movie in Hindi | Nithiin, Arju...   \n",
       "...                                                  ...   \n",
       "34060                          TYPES OF INDIAN SINGERS !   \n",
       "36946                                  LOVE AATA | CAPDT   \n",
       "1445                           Condom | Comedy | Message   \n",
       "11059  Routes of Transmission | Awareness | Dreamz Un...   \n",
       "5244         He VS She | Hyderabadi Comedy | Kantri Guyz   \n",
       "\n",
       "                               channel_title  category_id  \\\n",
       "1861                   Warner Bros. Pictures           24   \n",
       "3781                             RKD Digital           24   \n",
       "1721                   Warner Bros. Pictures           24   \n",
       "1606                   Warner Bros. Pictures           24   \n",
       "3552                             RKD Digital           24   \n",
       "...                                      ...          ...   \n",
       "34060                         Love Rudrakash           24   \n",
       "36946                                  CAPDT           24   \n",
       "1445                        Dreamz Unlimited           24   \n",
       "11059                       Dreamz Unlimited           24   \n",
       "5244   Kantriguyz - Hyderabadi Comedy Videos           24   \n",
       "\n",
       "                   publish_time  \\\n",
       "1861   2017-11-16T21:15:08.000Z   \n",
       "3781   2017-11-25T20:06:32.000Z   \n",
       "1721   2017-11-16T21:15:08.000Z   \n",
       "1606   2017-11-16T21:15:08.000Z   \n",
       "3552   2017-11-25T20:06:32.000Z   \n",
       "...                         ...   \n",
       "34060  2018-05-26T14:05:03.000Z   \n",
       "36946  2018-06-11T12:29:18.000Z   \n",
       "1445   2017-11-20T13:08:54.000Z   \n",
       "11059  2018-01-12T13:59:33.000Z   \n",
       "5244   2017-12-10T12:04:57.000Z   \n",
       "\n",
       "                                                    tags     views   likes  \\\n",
       "1861   Rampage|\"Rampage the Movie\"|\"The Rock\"|\"Dwayne...  16199598  149353   \n",
       "3781   lie full movie in hindi|\"lie 2017 hindi dubbed...  16151630   82998   \n",
       "1721   Rampage|\"Rampage the Movie\"|\"The Rock\"|\"Dwayne...  15104666  143947   \n",
       "1606   Rampage|\"Rampage the Movie\"|\"The Rock\"|\"Dwayne...  15104666  143947   \n",
       "3552   lie full movie in hindi|\"lie 2017 hindi dubbed...  14723564   78373   \n",
       "...                                                  ...       ...     ...   \n",
       "34060  Types of singer|\"types of funny songs\"|\"funny ...     30832    3013   \n",
       "36946  capdt|\"capdt facebook\"|\"capdt latest video\"|\"l...     30244    2624   \n",
       "1445   condom|\"ad\"|\"dreamzunlimited\"|\"comedy\"|\"nagala...     29665    2234   \n",
       "11059  hiv|\"aids\"|\"condom\"|\"naga\"|\"nagaland\"|\"nsacs\"|...     22955    1886   \n",
       "5244   hyderabadi style|\"comedy\"|\"kantri guyz\"|\"hyder...     18824    1970   \n",
       "\n",
       "       dislikes  comment_count  \\\n",
       "1861      13055          26336   \n",
       "3781       7852           4120   \n",
       "1721      12709          25593   \n",
       "1606      12709          25593   \n",
       "3552       7278           4080   \n",
       "...         ...            ...   \n",
       "34060       321            512   \n",
       "36946        59            393   \n",
       "1445         16            156   \n",
       "11059        18            113   \n",
       "5244         53            281   \n",
       "\n",
       "                                       thumbnail_link  comments_disabled  \\\n",
       "1861   https://i.ytimg.com/vi/coOKvrsmQiI/default.jpg              False   \n",
       "3781   https://i.ytimg.com/vi/sXAwqoJ-WUA/default.jpg              False   \n",
       "1721   https://i.ytimg.com/vi/coOKvrsmQiI/default.jpg              False   \n",
       "1606   https://i.ytimg.com/vi/coOKvrsmQiI/default.jpg              False   \n",
       "3552   https://i.ytimg.com/vi/sXAwqoJ-WUA/default.jpg              False   \n",
       "...                                               ...                ...   \n",
       "34060  https://i.ytimg.com/vi/kPFF4iYp0iI/default.jpg              False   \n",
       "36946  https://i.ytimg.com/vi/59daH3-_LIg/default.jpg              False   \n",
       "1445   https://i.ytimg.com/vi/dh2IPikoM7k/default.jpg              False   \n",
       "11059  https://i.ytimg.com/vi/8YW59mzQY3Q/default.jpg              False   \n",
       "5244   https://i.ytimg.com/vi/mhHkdxAwEa4/default.jpg              False   \n",
       "\n",
       "       ratings_disabled  video_error_or_removed  \\\n",
       "1861              False                   False   \n",
       "3781              False                   False   \n",
       "1721              False                   False   \n",
       "1606              False                   False   \n",
       "3552              False                   False   \n",
       "...                 ...                     ...   \n",
       "34060             False                   False   \n",
       "36946             False                   False   \n",
       "1445              False                   False   \n",
       "11059             False                   False   \n",
       "5244              False                   False   \n",
       "\n",
       "                                             description  log_views  log_likes  \n",
       "1861   In Theaters April 20, 2018\\n\\nwww.RampageTheMo...  16.600497  11.914068  \n",
       "3781   The wait is finally over! LIE - One of the mos...  16.597532  11.326572  \n",
       "1721   In Theaters April 20, 2018\\n\\nwww.RampageTheMo...  16.530514  11.877200  \n",
       "1606   In Theaters April 20, 2018\\n\\nwww.RampageTheMo...  16.530514  11.877200  \n",
       "3552   The wait is finally over! LIE - One of the mos...  16.504960  11.269235  \n",
       "...                                                  ...        ...        ...  \n",
       "34060  Hello Guys You Must Have Seen Amazing Singer b...  10.336308   8.010692  \n",
       "36946  Here is our latest video Love ఆట Directed by S...  10.317053   7.872455  \n",
       "1445   With new cases of AIDs numbers skyrocketing in...  10.297723   7.711549  \n",
       "11059  AIDS is not a virus but a set of symptoms (or ...  10.041291   7.542213  \n",
       "5244   How a girl is always right and a boy who is al...   9.842888   7.585789  \n",
       "\n",
       "[8083 rows x 18 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entertainment.sort_values('views', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "826ca48f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int64')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entertainment.views.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e8665bb1",
   "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>category_id</th>\n",
       "      <th>views</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>log_views</th>\n",
       "      <th>log_likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8083.0</td>\n",
       "      <td>8.083000e+03</td>\n",
       "      <td>8083.000000</td>\n",
       "      <td>8083.00000</td>\n",
       "      <td>8083.000000</td>\n",
       "      <td>8083.000000</td>\n",
       "      <td>8083.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>24.0</td>\n",
       "      <td>9.252312e+05</td>\n",
       "      <td>17107.396264</td>\n",
       "      <td>1255.06025</td>\n",
       "      <td>1550.966349</td>\n",
       "      <td>13.195854</td>\n",
       "      <td>9.051059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.304953e+06</td>\n",
       "      <td>25358.523342</td>\n",
       "      <td>2273.91005</td>\n",
       "      <td>2656.294576</td>\n",
       "      <td>1.023201</td>\n",
       "      <td>1.103268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.882400e+04</td>\n",
       "      <td>1880.000000</td>\n",
       "      <td>14.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.842888</td>\n",
       "      <td>7.539027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>24.0</td>\n",
       "      <td>2.765000e+05</td>\n",
       "      <td>3419.000000</td>\n",
       "      <td>307.00000</td>\n",
       "      <td>309.000000</td>\n",
       "      <td>12.529966</td>\n",
       "      <td>8.137103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>24.0</td>\n",
       "      <td>5.375060e+05</td>\n",
       "      <td>6711.000000</td>\n",
       "      <td>594.00000</td>\n",
       "      <td>694.000000</td>\n",
       "      <td>13.194695</td>\n",
       "      <td>8.811503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.028987e+06</td>\n",
       "      <td>17764.500000</td>\n",
       "      <td>1332.50000</td>\n",
       "      <td>1625.500000</td>\n",
       "      <td>13.844085</td>\n",
       "      <td>9.784957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.619960e+07</td>\n",
       "      <td>157588.000000</td>\n",
       "      <td>43944.00000</td>\n",
       "      <td>34968.000000</td>\n",
       "      <td>16.600497</td>\n",
       "      <td>11.967739</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       category_id         views          likes     dislikes  comment_count  \\\n",
       "count       8083.0  8.083000e+03    8083.000000   8083.00000    8083.000000   \n",
       "mean          24.0  9.252312e+05   17107.396264   1255.06025    1550.966349   \n",
       "std            0.0  1.304953e+06   25358.523342   2273.91005    2656.294576   \n",
       "min           24.0  1.882400e+04    1880.000000     14.00000       0.000000   \n",
       "25%           24.0  2.765000e+05    3419.000000    307.00000     309.000000   \n",
       "50%           24.0  5.375060e+05    6711.000000    594.00000     694.000000   \n",
       "75%           24.0  1.028987e+06   17764.500000   1332.50000    1625.500000   \n",
       "max           24.0  1.619960e+07  157588.000000  43944.00000   34968.000000   \n",
       "\n",
       "         log_views    log_likes  \n",
       "count  8083.000000  8083.000000  \n",
       "mean     13.195854     9.051059  \n",
       "std       1.023201     1.103268  \n",
       "min       9.842888     7.539027  \n",
       "25%      12.529966     8.137103  \n",
       "50%      13.194695     8.811503  \n",
       "75%      13.844085     9.784957  \n",
       "max      16.600497    11.967739  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entertainment.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0d814103",
   "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>views</th>\n",
       "      <th>likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8,083.000000</td>\n",
       "      <td>8,083.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>925,231.243969</td>\n",
       "      <td>17,107.396264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1,304,952.632429</td>\n",
       "      <td>25,358.523342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18,824.000000</td>\n",
       "      <td>1,880.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>276,500.000000</td>\n",
       "      <td>3,419.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>537,506.000000</td>\n",
       "      <td>6,711.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1,028,987.000000</td>\n",
       "      <td>17,764.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>16,199,598.000000</td>\n",
       "      <td>157,588.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  views          likes\n",
       "count      8,083.000000   8,083.000000\n",
       "mean     925,231.243969  17,107.396264\n",
       "std    1,304,952.632429  25,358.523342\n",
       "min       18,824.000000   1,880.000000\n",
       "25%      276,500.000000   3,419.000000\n",
       "50%      537,506.000000   6,711.000000\n",
       "75%    1,028,987.000000  17,764.500000\n",
       "max   16,199,598.000000 157,588.000000"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.float_format = '{:,f}'.format\n",
    "entertainment[['views','likes']].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a744463",
   "metadata": {},
   "source": [
    "# for entertainment category to be in trending you need minimum of 18000 views and 2000 likes, and the highest is 1.6 crore views and 85k likes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e5100639",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amongst the trending entertainment videos , the lowest trending trending number of views was 18824\n"
     ]
    }
   ],
   "source": [
    "print (\"Amongst the trending entertainment videos , the lowest trending trending number of views was {}\".format(min(entertainment['views'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "770b8aa0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amongst the trending entertainment videos , the highest trending trending number of views was 16199598\n"
     ]
    }
   ],
   "source": [
    "print (\"Amongst the trending entertainment videos , the highest trending trending number of views was {}\".format(max(entertainment['views'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4566f4cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amongst the trending entertainment videos , the trending video was 16199598\n"
     ]
    }
   ],
   "source": [
    "print (\"Amongst the trending entertainment videos , the trending video was {}\".format(max(entertainment['views'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f0cc5232",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\SAISAT~1\\AppData\\Local\\Temp/ipykernel_3440/2292556925.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  entertainment[\"contains_capitalised\"] = entertainment[\"title\"].apply(contains_capital)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def contains_capital(s):\n",
    "    for w in s:\n",
    "        if w.isupper():\n",
    "            return True\n",
    "        return False\n",
    "\n",
    "    \n",
    "entertainment[\"contains_capitalised\"] = entertainment[\"title\"].apply(contains_capital)\n",
    "\n",
    "value_counts = entertainment[\"contains_capitalised\"].value_counts().to_dict()\n",
    "\n",
    "fig2, ax = plt.subplots()\n",
    "_ = ax.pie([value_counts[False], value_counts[True]], labels=['No', 'Yes'], \n",
    "           colors=['#003f5c', '#ffa600'], textprops={'color': '#040204'}, startangle=45)\n",
    "_ = ax.axis('equal')\n",
    "_ = ax.set_title('Title Contains Capitalized Word?')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf7012b0",
   "metadata": {},
   "source": [
    "# from above we can see that almost 80% of the videos has title as capital letter when it is in trending for entertainment category."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33467bad",
   "metadata": {},
   "source": [
    "# Let’s add another column to our dataset to analyze the length of titles of videos, then plot the title length histogram to get an idea of the length of trending video titles:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e52802d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "PLOT_COLORS = [\"#268bd2\", \"#0052CC\", \"#FF5722\", \"#b58900\", \"#003f5c\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f3891e63",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\SAISAT~1\\AppData\\Local\\Temp/ipykernel_3440/1925263200.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  entertainment[\"title_length\"] = entertainment[\"title\"].apply(lambda x: len(x))\n",
      "C:\\Users\\SAI SATHVIK\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "entertainment[\"title_length\"] = entertainment[\"title\"].apply(lambda x: len(x))\n",
    "\n",
    "fig2, ax = plt.subplots()\n",
    "_ = sns.distplot(entertainment[\"title_length\"], kde=False, rug=False, \n",
    "                 color=PLOT_COLORS[4], hist_kws={'alpha': 1}, ax=ax)\n",
    "_ = ax.set(xlabel=\"Title Length\", ylabel=\"No. of videos\", xticks=range(0, 110, 10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6823df6d",
   "metadata": {},
   "source": [
    "# From the above graph we can see that the more videos have more than or equal to atleast 100 characters to be in the trending list. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "59f42223",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2, ax = plt.subplots()\n",
    "_ = ax.scatter(x=entertainment['views'], y=entertainment['title_length'], color=PLOT_COLORS[2], edgecolors=\"#000000\", linewidths=0.5)\n",
    "_ = ax.set(xlabel=\"Views\", ylabel=\"Title Length\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d31da7b",
   "metadata": {},
   "source": [
    "# from the above scatter plot we can see that there is no relationship between the length and the views, but if we look keenly there are videos which are more than 80 characters that has 160000000 views, and there are videos which have 100 characeters but still <20000 views"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "9b2768a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\SAISAT~1\\AppData\\Local\\Temp/ipykernel_3440/793671460.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  entertainment['log_views'] = np.log(entertainment['views'])\n",
      "C:\\Users\\SAISAT~1\\AppData\\Local\\Temp/ipykernel_3440/793671460.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  entertainment['log_likes'] = np.log(entertainment['likes'])\n"
     ]
    }
   ],
   "source": [
    "# to remove the likes and views in higher order for e^n\n",
    "entertainment['log_views'] = np.log(entertainment['views'])\n",
    "entertainment['log_likes'] = np.log(entertainment['likes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "60f0d2ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "# For hovering over information\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"Title\", \"@title\"),\n",
    "    (\"Channel\",\"@channel_title\"),\n",
    "    (\"Views\", \"@views\")\n",
    "]\n",
    "\n",
    "fig4 = figure(tooltips = TOOLTIPS)\n",
    "p = fig4.circle(x='log_views', y= 'log_likes',source = entertainment)\n",
    "\n",
    "# adding axis labels and coloring the graph plots\n",
    "fig4.xaxis.axis_label = 'Likes'\n",
    "glyph = p.glyph\n",
    "glyph.size = 15\n",
    "glyph.fill_alpha = 0.3\n",
    "glyph.fill_color = \"green\"\n",
    "glyph.line_color = \"grey\"\n",
    "glyph.line_dash = [6, 3]\n",
    "glyph.line_width = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "54e7482e",
   "metadata": {},
   "outputs": [],
   "source": [
    "show(fig4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "693e16c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "aab48521",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "figg, ax = plt.subplots()\n",
    "_ = sns.distplot(df[\"log_views\"], kde=False, color=PLOT_COLORS[4], \n",
    "                 hist_kws={'alpha': 1}, bins=np.linspace(0, 2.3e9, 47), ax=ax)\n",
    "_ = ax.set(xlabel=\"Views\", ylabel=\"No. of videos\", xticks=np.arange(0, 2.4e9, 1e7))\n",
    "_ = ax.set_xlim(right=2.5e8)\n",
    "_ = plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e0a6560",
   "metadata": {},
   "source": [
    "# We note that the vast majority of trending videos have 5 million views or less. We get the 5 million number by calculating 0.1×10^8/2=5×10^6 Now let us plot the histogram just for videos with 25 million views or less to get a closer look at the distribution of the data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ff54bf63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "_ = sns.distplot(df[df[\"log_views\"] < 25e6][\"log_views\"], kde=False, \n",
    "                 color=PLOT_COLORS[4], hist_kws={'alpha': 1}, ax=ax)\n",
    "_ = ax.set(xlabel=\"Views\", ylabel=\"No. of videos\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27b3a3c7",
   "metadata": {},
   "source": [
    "# Now we see that the majority of trending videos have 1 million views or less. Let's see the exact percentage of videos less than 1 million views"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a3fb9bde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "71.1792272379495"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['views'] < 1e6]['views'].count() / df['views'].count() * 100"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87359a4a",
   "metadata": {},
   "source": [
    "# So, it is around 70%. Similarly, we can see that the percentage of videos with less than 1.5 million views is around 71%, and that the percentage of videos with less than 5 million views is around 80%."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff1c1a27",
   "metadata": {},
   "source": [
    "# After views, we plot the histogram for likes column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "9c9fee17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rc('figure.subplot', wspace=0.9)\n",
    "fig, ax = plt.subplots()\n",
    "_ = sns.distplot(df[\"likes\"], kde=False, \n",
    "                 color=PLOT_COLORS[4], hist_kws={'alpha': 1}, \n",
    "                 bins=np.linspace(0, 6e5, 61), ax=ax)\n",
    "_ = ax.set(xlabel=\"Likes\", ylabel=\"No. of videos\")\n",
    "_ = plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb05e2d7",
   "metadata": {},
   "source": [
    "# We note that the vast majority of trending videos have between 0 and 100,000 likes. Let us plot the histogram just for videos with 1000,000 likes or less to get a closer look at the distribution of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "4a3d3392",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "_ = sns.distplot(df[df[\"likes\"] <= 1e5][\"likes\"], kde=False, \n",
    "                 color=PLOT_COLORS[4], hist_kws={'alpha': 1}, ax=ax)\n",
    "_ = ax.set(xlabel=\"Likes\", ylabel=\"No. of videos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "8e83dcf0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "84.26740627390971"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['likes'] < 4e4]['likes'].count() / df['likes'].count() * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "5da53e71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cdf = df.groupby(\"channel_title\").size().reset_index(name=\"video_count\") \\\n",
    "    .sort_values(\"video_count\", ascending=False).head(20)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "_ = sns.barplot(x=\"video_count\", y=\"channel_title\", data=cdf,\n",
    "                palette=sns.cubehelix_palette(n_colors=20, reverse=True), ax=ax)\n",
    "_ = ax.set(xlabel=\"No. of videos\", ylabel=\"Channel\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "38483046",
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "30f8c91d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('|', 26838),\n",
       " ('-', 6921),\n",
       " ('2018', 3225),\n",
       " ('||', 2044),\n",
       " ('Song', 1528),\n",
       " ('The', 1459),\n",
       " ('Episode', 1417),\n",
       " ('Movie', 1328),\n",
       " ('Video', 1218),\n",
       " ('Full', 1194),\n",
       " ('&', 1054),\n",
       " ('Latest', 1031),\n",
       " ('Songs', 1015),\n",
       " ('Official', 1010),\n",
       " ('Trailer', 946),\n",
       " ('New', 909),\n",
       " ('Punjabi', 891),\n",
       " ('Telugu', 805),\n",
       " ('in', 704),\n",
       " ('2', 702),\n",
       " (':', 660),\n",
       " ('News', 633),\n",
       " ('2017', 630),\n",
       " ('of', 625),\n",
       " ('to', 593)]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title_words = list(df[\"title\"].apply(lambda x: x.split()))\n",
    "title_words = [x for y in title_words for x in y]\n",
    "Counter(title_words).most_common(25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5af7214",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}