├── README.md
├── LICENSE
├── .gitignore
└── spotify_youtube.ipynb


/README.md:
--------------------------------------------------------------------------------
1 | # Spotify_YouTube_Analysis
2 | 
3 | ## Dataset URL : https://www.kaggle.com/datasets/salvatorerastelli/spotify-and-youtube
4 | 


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2024 Jalpa Patel Desai
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/.gitignore:
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  1 | # Byte-compiled / optimized / DLL files
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  3 | *.py[cod]
  4 | *$py.class
  5 | 
  6 | # C extensions
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 10 | .Python
 11 | build/
 12 | develop-eggs/
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 20 | sdist/
 21 | var/
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 26 | *.egg
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 59 | *.log
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 61 | db.sqlite3
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 78 | # Jupyter Notebook
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 81 | # IPython
 82 | profile_default/
 83 | ipython_config.py
 84 | 
 85 | # pyenv
 86 | #   For a library or package, you might want to ignore these files since the code is
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 89 | 
 90 | # pipenv
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160 | #.idea/
161 | 


--------------------------------------------------------------------------------
/spotify_youtube.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "code",
   5 |    "execution_count": 1,
   6 |    "id": "1c428379",
   7 |    "metadata": {},
   8 |    "outputs": [],
   9 |    "source": [
  10 |     "import numpy as np\n",
  11 |     "import pandas as pd\n",
  12 |     "import matplotlib.pyplot as plt\n",
  13 |     "import seaborn as sns\n",
  14 |     "%matplotlib inline"
  15 |    ]
  16 |   },
  17 |   {
  18 |    "cell_type": "code",
  19 |    "execution_count": 2,
  20 |    "id": "df64e1be",
  21 |    "metadata": {},
  22 |    "outputs": [],
  23 |    "source": [
  24 |     "df = pd.read_csv(\"Spotify_Youtube.csv\")"
  25 |    ]
  26 |   },
  27 |   {
  28 |    "cell_type": "code",
  29 |    "execution_count": 3,
  30 |    "id": "77f0b23e",
  31 |    "metadata": {},
  32 |    "outputs": [
  33 |     {
  34 |      "data": {
  35 |       "text/html": [
  36 |        "<div>\n",
  37 |        "<style scoped>\n",
  38 |        "    .dataframe tbody tr th:only-of-type {\n",
  39 |        "        vertical-align: middle;\n",
  40 |        "    }\n",
  41 |        "\n",
  42 |        "    .dataframe tbody tr th {\n",
  43 |        "        vertical-align: top;\n",
  44 |        "    }\n",
  45 |        "\n",
  46 |        "    .dataframe thead th {\n",
  47 |        "        text-align: right;\n",
  48 |        "    }\n",
  49 |        "</style>\n",
  50 |        "<table border=\"1\" class=\"dataframe\">\n",
  51 |        "  <thead>\n",
  52 |        "    <tr style=\"text-align: right;\">\n",
  53 |        "      <th></th>\n",
  54 |        "      <th>Unnamed: 0</th>\n",
  55 |        "      <th>Artist</th>\n",
  56 |        "      <th>Url_spotify</th>\n",
  57 |        "      <th>Track</th>\n",
  58 |        "      <th>Album</th>\n",
  59 |        "      <th>Album_type</th>\n",
  60 |        "      <th>Uri</th>\n",
  61 |        "      <th>Danceability</th>\n",
  62 |        "      <th>Energy</th>\n",
  63 |        "      <th>Key</th>\n",
  64 |        "      <th>...</th>\n",
  65 |        "      <th>Url_youtube</th>\n",
  66 |        "      <th>Title</th>\n",
  67 |        "      <th>Channel</th>\n",
  68 |        "      <th>Views</th>\n",
  69 |        "      <th>Likes</th>\n",
  70 |        "      <th>Comments</th>\n",
  71 |        "      <th>Description</th>\n",
  72 |        "      <th>Licensed</th>\n",
  73 |        "      <th>official_video</th>\n",
  74 |        "      <th>Stream</th>\n",
  75 |        "    </tr>\n",
  76 |        "  </thead>\n",
  77 |        "  <tbody>\n",
  78 |        "    <tr>\n",
  79 |        "      <th>0</th>\n",
  80 |        "      <td>0</td>\n",
  81 |        "      <td>Gorillaz</td>\n",
  82 |        "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
  83 |        "      <td>Feel Good Inc.</td>\n",
  84 |        "      <td>Demon Days</td>\n",
  85 |        "      <td>album</td>\n",
  86 |        "      <td>spotify:track:0d28khcov6AiegSCpG5TuT</td>\n",
  87 |        "      <td>0.818</td>\n",
  88 |        "      <td>0.705</td>\n",
  89 |        "      <td>6.0</td>\n",
  90 |        "      <td>...</td>\n",
  91 |        "      <td>https://www.youtube.com/watch?v=HyHNuVaZJ-k</td>\n",
  92 |        "      <td>Gorillaz - Feel Good Inc. (Official Video)</td>\n",
  93 |        "      <td>Gorillaz</td>\n",
  94 |        "      <td>693555221.0</td>\n",
  95 |        "      <td>6220896.0</td>\n",
  96 |        "      <td>169907.0</td>\n",
  97 |        "      <td>Official HD Video for Gorillaz' fantastic trac...</td>\n",
  98 |        "      <td>True</td>\n",
  99 |        "      <td>True</td>\n",
 100 |        "      <td>1.040235e+09</td>\n",
 101 |        "    </tr>\n",
 102 |        "    <tr>\n",
 103 |        "      <th>1</th>\n",
 104 |        "      <td>1</td>\n",
 105 |        "      <td>Gorillaz</td>\n",
 106 |        "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
 107 |        "      <td>Rhinestone Eyes</td>\n",
 108 |        "      <td>Plastic Beach</td>\n",
 109 |        "      <td>album</td>\n",
 110 |        "      <td>spotify:track:1foMv2HQwfQ2vntFf9HFeG</td>\n",
 111 |        "      <td>0.676</td>\n",
 112 |        "      <td>0.703</td>\n",
 113 |        "      <td>8.0</td>\n",
 114 |        "      <td>...</td>\n",
 115 |        "      <td>https://www.youtube.com/watch?v=yYDmaexVHic</td>\n",
 116 |        "      <td>Gorillaz - Rhinestone Eyes [Storyboard Film] (...</td>\n",
 117 |        "      <td>Gorillaz</td>\n",
 118 |        "      <td>72011645.0</td>\n",
 119 |        "      <td>1079128.0</td>\n",
 120 |        "      <td>31003.0</td>\n",
 121 |        "      <td>The official video for Gorillaz - Rhinestone E...</td>\n",
 122 |        "      <td>True</td>\n",
 123 |        "      <td>True</td>\n",
 124 |        "      <td>3.100837e+08</td>\n",
 125 |        "    </tr>\n",
 126 |        "    <tr>\n",
 127 |        "      <th>2</th>\n",
 128 |        "      <td>2</td>\n",
 129 |        "      <td>Gorillaz</td>\n",
 130 |        "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
 131 |        "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
 132 |        "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
 133 |        "      <td>single</td>\n",
 134 |        "      <td>spotify:track:64dLd6rVqDLtkXFYrEUHIU</td>\n",
 135 |        "      <td>0.695</td>\n",
 136 |        "      <td>0.923</td>\n",
 137 |        "      <td>1.0</td>\n",
 138 |        "      <td>...</td>\n",
 139 |        "      <td>https://www.youtube.com/watch?v=qJa-VFwPpYA</td>\n",
 140 |        "      <td>Gorillaz - New Gold ft. Tame Impala &amp; Bootie B...</td>\n",
 141 |        "      <td>Gorillaz</td>\n",
 142 |        "      <td>8435055.0</td>\n",
 143 |        "      <td>282142.0</td>\n",
 144 |        "      <td>7399.0</td>\n",
 145 |        "      <td>Gorillaz - New Gold ft. Tame Impala &amp; Bootie B...</td>\n",
 146 |        "      <td>True</td>\n",
 147 |        "      <td>True</td>\n",
 148 |        "      <td>6.306347e+07</td>\n",
 149 |        "    </tr>\n",
 150 |        "    <tr>\n",
 151 |        "      <th>3</th>\n",
 152 |        "      <td>3</td>\n",
 153 |        "      <td>Gorillaz</td>\n",
 154 |        "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
 155 |        "      <td>On Melancholy Hill</td>\n",
 156 |        "      <td>Plastic Beach</td>\n",
 157 |        "      <td>album</td>\n",
 158 |        "      <td>spotify:track:0q6LuUqGLUiCPP1cbdwFs3</td>\n",
 159 |        "      <td>0.689</td>\n",
 160 |        "      <td>0.739</td>\n",
 161 |        "      <td>2.0</td>\n",
 162 |        "      <td>...</td>\n",
 163 |        "      <td>https://www.youtube.com/watch?v=04mfKJWDSzI</td>\n",
 164 |        "      <td>Gorillaz - On Melancholy Hill (Official Video)</td>\n",
 165 |        "      <td>Gorillaz</td>\n",
 166 |        "      <td>211754952.0</td>\n",
 167 |        "      <td>1788577.0</td>\n",
 168 |        "      <td>55229.0</td>\n",
 169 |        "      <td>Follow Gorillaz online:\\nhttp://gorillaz.com \\...</td>\n",
 170 |        "      <td>True</td>\n",
 171 |        "      <td>True</td>\n",
 172 |        "      <td>4.346636e+08</td>\n",
 173 |        "    </tr>\n",
 174 |        "    <tr>\n",
 175 |        "      <th>4</th>\n",
 176 |        "      <td>4</td>\n",
 177 |        "      <td>Gorillaz</td>\n",
 178 |        "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
 179 |        "      <td>Clint Eastwood</td>\n",
 180 |        "      <td>Gorillaz</td>\n",
 181 |        "      <td>album</td>\n",
 182 |        "      <td>spotify:track:7yMiX7n9SBvadzox8T5jzT</td>\n",
 183 |        "      <td>0.663</td>\n",
 184 |        "      <td>0.694</td>\n",
 185 |        "      <td>10.0</td>\n",
 186 |        "      <td>...</td>\n",
 187 |        "      <td>https://www.youtube.com/watch?v=1V_xRb0x9aw</td>\n",
 188 |        "      <td>Gorillaz - Clint Eastwood (Official Video)</td>\n",
 189 |        "      <td>Gorillaz</td>\n",
 190 |        "      <td>618480958.0</td>\n",
 191 |        "      <td>6197318.0</td>\n",
 192 |        "      <td>155930.0</td>\n",
 193 |        "      <td>The official music video for Gorillaz - Clint ...</td>\n",
 194 |        "      <td>True</td>\n",
 195 |        "      <td>True</td>\n",
 196 |        "      <td>6.172597e+08</td>\n",
 197 |        "    </tr>\n",
 198 |        "  </tbody>\n",
 199 |        "</table>\n",
 200 |        "<p>5 rows × 28 columns</p>\n",
 201 |        "</div>"
 202 |       ],
 203 |       "text/plain": [
 204 |        "   Unnamed: 0    Artist                                        Url_spotify  \\\n",
 205 |        "0           0  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
 206 |        "1           1  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
 207 |        "2           2  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
 208 |        "3           3  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
 209 |        "4           4  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
 210 |        "\n",
 211 |        "                                           Track  \\\n",
 212 |        "0                                 Feel Good Inc.   \n",
 213 |        "1                                Rhinestone Eyes   \n",
 214 |        "2  New Gold (feat. Tame Impala and Bootie Brown)   \n",
 215 |        "3                             On Melancholy Hill   \n",
 216 |        "4                                 Clint Eastwood   \n",
 217 |        "\n",
 218 |        "                                           Album Album_type  \\\n",
 219 |        "0                                     Demon Days      album   \n",
 220 |        "1                                  Plastic Beach      album   \n",
 221 |        "2  New Gold (feat. Tame Impala and Bootie Brown)     single   \n",
 222 |        "3                                  Plastic Beach      album   \n",
 223 |        "4                                       Gorillaz      album   \n",
 224 |        "\n",
 225 |        "                                    Uri  Danceability  Energy   Key  ...  \\\n",
 226 |        "0  spotify:track:0d28khcov6AiegSCpG5TuT         0.818   0.705   6.0  ...   \n",
 227 |        "1  spotify:track:1foMv2HQwfQ2vntFf9HFeG         0.676   0.703   8.0  ...   \n",
 228 |        "2  spotify:track:64dLd6rVqDLtkXFYrEUHIU         0.695   0.923   1.0  ...   \n",
 229 |        "3  spotify:track:0q6LuUqGLUiCPP1cbdwFs3         0.689   0.739   2.0  ...   \n",
 230 |        "4  spotify:track:7yMiX7n9SBvadzox8T5jzT         0.663   0.694  10.0  ...   \n",
 231 |        "\n",
 232 |        "                                   Url_youtube  \\\n",
 233 |        "0  https://www.youtube.com/watch?v=HyHNuVaZJ-k   \n",
 234 |        "1  https://www.youtube.com/watch?v=yYDmaexVHic   \n",
 235 |        "2  https://www.youtube.com/watch?v=qJa-VFwPpYA   \n",
 236 |        "3  https://www.youtube.com/watch?v=04mfKJWDSzI   \n",
 237 |        "4  https://www.youtube.com/watch?v=1V_xRb0x9aw   \n",
 238 |        "\n",
 239 |        "                                               Title   Channel        Views  \\\n",
 240 |        "0         Gorillaz - Feel Good Inc. (Official Video)  Gorillaz  693555221.0   \n",
 241 |        "1  Gorillaz - Rhinestone Eyes [Storyboard Film] (...  Gorillaz   72011645.0   \n",
 242 |        "2  Gorillaz - New Gold ft. Tame Impala & Bootie B...  Gorillaz    8435055.0   \n",
 243 |        "3     Gorillaz - On Melancholy Hill (Official Video)  Gorillaz  211754952.0   \n",
 244 |        "4         Gorillaz - Clint Eastwood (Official Video)  Gorillaz  618480958.0   \n",
 245 |        "\n",
 246 |        "       Likes  Comments                                        Description  \\\n",
 247 |        "0  6220896.0  169907.0  Official HD Video for Gorillaz' fantastic trac...   \n",
 248 |        "1  1079128.0   31003.0  The official video for Gorillaz - Rhinestone E...   \n",
 249 |        "2   282142.0    7399.0  Gorillaz - New Gold ft. Tame Impala & Bootie B...   \n",
 250 |        "3  1788577.0   55229.0  Follow Gorillaz online:\\nhttp://gorillaz.com \\...   \n",
 251 |        "4  6197318.0  155930.0  The official music video for Gorillaz - Clint ...   \n",
 252 |        "\n",
 253 |        "   Licensed official_video        Stream  \n",
 254 |        "0      True           True  1.040235e+09  \n",
 255 |        "1      True           True  3.100837e+08  \n",
 256 |        "2      True           True  6.306347e+07  \n",
 257 |        "3      True           True  4.346636e+08  \n",
 258 |        "4      True           True  6.172597e+08  \n",
 259 |        "\n",
 260 |        "[5 rows x 28 columns]"
 261 |       ]
 262 |      },
 263 |      "execution_count": 3,
 264 |      "metadata": {},
 265 |      "output_type": "execute_result"
 266 |     }
 267 |    ],
 268 |    "source": [
 269 |     "df.head()"
 270 |    ]
 271 |   },
 272 |   {
 273 |    "cell_type": "code",
 274 |    "execution_count": 4,
 275 |    "id": "06aaf7e9",
 276 |    "metadata": {},
 277 |    "outputs": [
 278 |     {
 279 |      "data": {
 280 |       "text/plain": [
 281 |        "Unnamed: 0            int64\n",
 282 |        "Artist               object\n",
 283 |        "Url_spotify          object\n",
 284 |        "Track                object\n",
 285 |        "Album                object\n",
 286 |        "Album_type           object\n",
 287 |        "Uri                  object\n",
 288 |        "Danceability        float64\n",
 289 |        "Energy              float64\n",
 290 |        "Key                 float64\n",
 291 |        "Loudness            float64\n",
 292 |        "Speechiness         float64\n",
 293 |        "Acousticness        float64\n",
 294 |        "Instrumentalness    float64\n",
 295 |        "Liveness            float64\n",
 296 |        "Valence             float64\n",
 297 |        "Tempo               float64\n",
 298 |        "Duration_ms         float64\n",
 299 |        "Url_youtube          object\n",
 300 |        "Title                object\n",
 301 |        "Channel              object\n",
 302 |        "Views               float64\n",
 303 |        "Likes               float64\n",
 304 |        "Comments            float64\n",
 305 |        "Description          object\n",
 306 |        "Licensed             object\n",
 307 |        "official_video       object\n",
 308 |        "Stream              float64\n",
 309 |        "dtype: object"
 310 |       ]
 311 |      },
 312 |      "execution_count": 4,
 313 |      "metadata": {},
 314 |      "output_type": "execute_result"
 315 |     }
 316 |    ],
 317 |    "source": [
 318 |     "df.dtypes"
 319 |    ]
 320 |   },
 321 |   {
 322 |    "cell_type": "code",
 323 |    "execution_count": 5,
 324 |    "id": "6b8b8977",
 325 |    "metadata": {},
 326 |    "outputs": [
 327 |     {
 328 |      "data": {
 329 |       "text/plain": [
 330 |        "580104"
 331 |       ]
 332 |      },
 333 |      "execution_count": 5,
 334 |      "metadata": {},
 335 |      "output_type": "execute_result"
 336 |     }
 337 |    ],
 338 |    "source": [
 339 |     "df.size"
 340 |    ]
 341 |   },
 342 |   {
 343 |    "cell_type": "code",
 344 |    "execution_count": 6,
 345 |    "id": "1ad95c62",
 346 |    "metadata": {},
 347 |    "outputs": [
 348 |     {
 349 |      "data": {
 350 |       "text/plain": [
 351 |        "(20718, 28)"
 352 |       ]
 353 |      },
 354 |      "execution_count": 6,
 355 |      "metadata": {},
 356 |      "output_type": "execute_result"
 357 |     }
 358 |    ],
 359 |    "source": [
 360 |     "df.shape"
 361 |    ]
 362 |   },
 363 |   {
 364 |    "cell_type": "code",
 365 |    "execution_count": 7,
 366 |    "id": "de78c176",
 367 |    "metadata": {},
 368 |    "outputs": [
 369 |     {
 370 |      "data": {
 371 |       "text/plain": [
 372 |        "Unnamed: 0            0\n",
 373 |        "Artist                0\n",
 374 |        "Url_spotify           0\n",
 375 |        "Track                 0\n",
 376 |        "Album                 0\n",
 377 |        "Album_type            0\n",
 378 |        "Uri                   0\n",
 379 |        "Danceability          2\n",
 380 |        "Energy                2\n",
 381 |        "Key                   2\n",
 382 |        "Loudness              2\n",
 383 |        "Speechiness           2\n",
 384 |        "Acousticness          2\n",
 385 |        "Instrumentalness      2\n",
 386 |        "Liveness              2\n",
 387 |        "Valence               2\n",
 388 |        "Tempo                 2\n",
 389 |        "Duration_ms           2\n",
 390 |        "Url_youtube         470\n",
 391 |        "Title               470\n",
 392 |        "Channel             470\n",
 393 |        "Views               470\n",
 394 |        "Likes               541\n",
 395 |        "Comments            569\n",
 396 |        "Description         876\n",
 397 |        "Licensed            470\n",
 398 |        "official_video      470\n",
 399 |        "Stream              576\n",
 400 |        "dtype: int64"
 401 |       ]
 402 |      },
 403 |      "execution_count": 7,
 404 |      "metadata": {},
 405 |      "output_type": "execute_result"
 406 |     }
 407 |    ],
 408 |    "source": [
 409 |     "df.isnull().sum()"
 410 |    ]
 411 |   },
 412 |   {
 413 |    "cell_type": "code",
 414 |    "execution_count": 8,
 415 |    "id": "17386d72",
 416 |    "metadata": {},
 417 |    "outputs": [
 418 |     {
 419 |      "data": {
 420 |       "text/plain": [
 421 |        "Index(['Unnamed: 0', 'Artist', 'Url_spotify', 'Track', 'Album', 'Album_type',\n",
 422 |        "       'Uri', 'Danceability', 'Energy', 'Key', 'Loudness', 'Speechiness',\n",
 423 |        "       'Acousticness', 'Instrumentalness', 'Liveness', 'Valence', 'Tempo',\n",
 424 |        "       'Duration_ms', 'Url_youtube', 'Title', 'Channel', 'Views', 'Likes',\n",
 425 |        "       'Comments', 'Description', 'Licensed', 'official_video', 'Stream'],\n",
 426 |        "      dtype='object')"
 427 |       ]
 428 |      },
 429 |      "execution_count": 8,
 430 |      "metadata": {},
 431 |      "output_type": "execute_result"
 432 |     }
 433 |    ],
 434 |    "source": [
 435 |     "#viewing the columns\n",
 436 |     "df.columns\n"
 437 |    ]
 438 |   },
 439 |   {
 440 |    "cell_type": "code",
 441 |    "execution_count": 9,
 442 |    "id": "09aebc29",
 443 |    "metadata": {},
 444 |    "outputs": [],
 445 |    "source": [
 446 |     "extra_cols=['Unnamed: 0','Title','Url_spotify','Uri','Url_youtube']\n",
 447 |     "df.drop(extra_cols,axis=1,inplace=True)"
 448 |    ]
 449 |   },
 450 |   {
 451 |    "cell_type": "code",
 452 |    "execution_count": 10,
 453 |    "id": "4ff57451",
 454 |    "metadata": {},
 455 |    "outputs": [
 456 |     {
 457 |      "data": {
 458 |       "text/plain": [
 459 |        "(20718, 23)"
 460 |       ]
 461 |      },
 462 |      "execution_count": 10,
 463 |      "metadata": {},
 464 |      "output_type": "execute_result"
 465 |     }
 466 |    ],
 467 |    "source": [
 468 |     "df.shape"
 469 |    ]
 470 |   },
 471 |   {
 472 |    "cell_type": "code",
 473 |    "execution_count": 11,
 474 |    "id": "09f18acb",
 475 |    "metadata": {},
 476 |    "outputs": [
 477 |     {
 478 |      "data": {
 479 |       "text/plain": [
 480 |        "Artist               2079\n",
 481 |        "Track               17841\n",
 482 |        "Album               11937\n",
 483 |        "Album_type              3\n",
 484 |        "Danceability          898\n",
 485 |        "Energy               1268\n",
 486 |        "Key                    12\n",
 487 |        "Loudness             9417\n",
 488 |        "Speechiness          1303\n",
 489 |        "Acousticness         3138\n",
 490 |        "Instrumentalness     4012\n",
 491 |        "Liveness             1536\n",
 492 |        "Valence              1293\n",
 493 |        "Tempo               15024\n",
 494 |        "Duration_ms         14690\n",
 495 |        "Channel              6714\n",
 496 |        "Views               19245\n",
 497 |        "Likes               17939\n",
 498 |        "Comments            10485\n",
 499 |        "Description         17395\n",
 500 |        "Licensed                2\n",
 501 |        "official_video          2\n",
 502 |        "Stream              18461\n",
 503 |        "dtype: int64"
 504 |       ]
 505 |      },
 506 |      "execution_count": 11,
 507 |      "metadata": {},
 508 |      "output_type": "execute_result"
 509 |     }
 510 |    ],
 511 |    "source": [
 512 |     "df.nunique() "
 513 |    ]
 514 |   },
 515 |   {
 516 |    "cell_type": "code",
 517 |    "execution_count": 12,
 518 |    "id": "302b0565",
 519 |    "metadata": {},
 520 |    "outputs": [],
 521 |    "source": [
 522 |     "df.dropna(inplace=True)"
 523 |    ]
 524 |   },
 525 |   {
 526 |    "cell_type": "code",
 527 |    "execution_count": 13,
 528 |    "id": "95d89821",
 529 |    "metadata": {},
 530 |    "outputs": [
 531 |     {
 532 |      "data": {
 533 |       "text/plain": [
 534 |        "Artist              0\n",
 535 |        "Track               0\n",
 536 |        "Album               0\n",
 537 |        "Album_type          0\n",
 538 |        "Danceability        0\n",
 539 |        "Energy              0\n",
 540 |        "Key                 0\n",
 541 |        "Loudness            0\n",
 542 |        "Speechiness         0\n",
 543 |        "Acousticness        0\n",
 544 |        "Instrumentalness    0\n",
 545 |        "Liveness            0\n",
 546 |        "Valence             0\n",
 547 |        "Tempo               0\n",
 548 |        "Duration_ms         0\n",
 549 |        "Channel             0\n",
 550 |        "Views               0\n",
 551 |        "Likes               0\n",
 552 |        "Comments            0\n",
 553 |        "Description         0\n",
 554 |        "Licensed            0\n",
 555 |        "official_video      0\n",
 556 |        "Stream              0\n",
 557 |        "dtype: int64"
 558 |       ]
 559 |      },
 560 |      "execution_count": 13,
 561 |      "metadata": {},
 562 |      "output_type": "execute_result"
 563 |     }
 564 |    ],
 565 |    "source": [
 566 |     "df.isnull().sum()"
 567 |    ]
 568 |   },
 569 |   {
 570 |    "cell_type": "code",
 571 |    "execution_count": 14,
 572 |    "id": "b7c28bec",
 573 |    "metadata": {},
 574 |    "outputs": [],
 575 |    "source": [
 576 |     "df['Views']=df['Views'].astype('int')\n",
 577 |     "df['Likes']=df['Likes'].astype('int')\n",
 578 |     "df['Comments']=df['Comments'].astype('int')"
 579 |    ]
 580 |   },
 581 |   {
 582 |    "cell_type": "code",
 583 |    "execution_count": 15,
 584 |    "id": "ecb57764",
 585 |    "metadata": {},
 586 |    "outputs": [
 587 |     {
 588 |      "data": {
 589 |       "text/html": [
 590 |        "<div>\n",
 591 |        "<style scoped>\n",
 592 |        "    .dataframe tbody tr th:only-of-type {\n",
 593 |        "        vertical-align: middle;\n",
 594 |        "    }\n",
 595 |        "\n",
 596 |        "    .dataframe tbody tr th {\n",
 597 |        "        vertical-align: top;\n",
 598 |        "    }\n",
 599 |        "\n",
 600 |        "    .dataframe thead th {\n",
 601 |        "        text-align: right;\n",
 602 |        "    }\n",
 603 |        "</style>\n",
 604 |        "<table border=\"1\" class=\"dataframe\">\n",
 605 |        "  <thead>\n",
 606 |        "    <tr style=\"text-align: right;\">\n",
 607 |        "      <th></th>\n",
 608 |        "      <th>Artist</th>\n",
 609 |        "      <th>Track</th>\n",
 610 |        "      <th>Album</th>\n",
 611 |        "      <th>Album_type</th>\n",
 612 |        "      <th>Danceability</th>\n",
 613 |        "      <th>Energy</th>\n",
 614 |        "      <th>Key</th>\n",
 615 |        "      <th>Loudness</th>\n",
 616 |        "      <th>Speechiness</th>\n",
 617 |        "      <th>Acousticness</th>\n",
 618 |        "      <th>...</th>\n",
 619 |        "      <th>Tempo</th>\n",
 620 |        "      <th>Duration_ms</th>\n",
 621 |        "      <th>Channel</th>\n",
 622 |        "      <th>Views</th>\n",
 623 |        "      <th>Likes</th>\n",
 624 |        "      <th>Comments</th>\n",
 625 |        "      <th>Description</th>\n",
 626 |        "      <th>Licensed</th>\n",
 627 |        "      <th>official_video</th>\n",
 628 |        "      <th>Stream</th>\n",
 629 |        "    </tr>\n",
 630 |        "  </thead>\n",
 631 |        "  <tbody>\n",
 632 |        "    <tr>\n",
 633 |        "      <th>0</th>\n",
 634 |        "      <td>Gorillaz</td>\n",
 635 |        "      <td>Feel Good Inc.</td>\n",
 636 |        "      <td>Demon Days</td>\n",
 637 |        "      <td>album</td>\n",
 638 |        "      <td>0.818</td>\n",
 639 |        "      <td>0.705</td>\n",
 640 |        "      <td>6.0</td>\n",
 641 |        "      <td>-6.679</td>\n",
 642 |        "      <td>0.1770</td>\n",
 643 |        "      <td>0.008360</td>\n",
 644 |        "      <td>...</td>\n",
 645 |        "      <td>138.559</td>\n",
 646 |        "      <td>222640.0</td>\n",
 647 |        "      <td>Gorillaz</td>\n",
 648 |        "      <td>693555221</td>\n",
 649 |        "      <td>6220896</td>\n",
 650 |        "      <td>169907</td>\n",
 651 |        "      <td>Official HD Video for Gorillaz' fantastic trac...</td>\n",
 652 |        "      <td>True</td>\n",
 653 |        "      <td>True</td>\n",
 654 |        "      <td>1.040235e+09</td>\n",
 655 |        "    </tr>\n",
 656 |        "    <tr>\n",
 657 |        "      <th>1</th>\n",
 658 |        "      <td>Gorillaz</td>\n",
 659 |        "      <td>Rhinestone Eyes</td>\n",
 660 |        "      <td>Plastic Beach</td>\n",
 661 |        "      <td>album</td>\n",
 662 |        "      <td>0.676</td>\n",
 663 |        "      <td>0.703</td>\n",
 664 |        "      <td>8.0</td>\n",
 665 |        "      <td>-5.815</td>\n",
 666 |        "      <td>0.0302</td>\n",
 667 |        "      <td>0.086900</td>\n",
 668 |        "      <td>...</td>\n",
 669 |        "      <td>92.761</td>\n",
 670 |        "      <td>200173.0</td>\n",
 671 |        "      <td>Gorillaz</td>\n",
 672 |        "      <td>72011645</td>\n",
 673 |        "      <td>1079128</td>\n",
 674 |        "      <td>31003</td>\n",
 675 |        "      <td>The official video for Gorillaz - Rhinestone E...</td>\n",
 676 |        "      <td>True</td>\n",
 677 |        "      <td>True</td>\n",
 678 |        "      <td>3.100837e+08</td>\n",
 679 |        "    </tr>\n",
 680 |        "    <tr>\n",
 681 |        "      <th>2</th>\n",
 682 |        "      <td>Gorillaz</td>\n",
 683 |        "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
 684 |        "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
 685 |        "      <td>single</td>\n",
 686 |        "      <td>0.695</td>\n",
 687 |        "      <td>0.923</td>\n",
 688 |        "      <td>1.0</td>\n",
 689 |        "      <td>-3.930</td>\n",
 690 |        "      <td>0.0522</td>\n",
 691 |        "      <td>0.042500</td>\n",
 692 |        "      <td>...</td>\n",
 693 |        "      <td>108.014</td>\n",
 694 |        "      <td>215150.0</td>\n",
 695 |        "      <td>Gorillaz</td>\n",
 696 |        "      <td>8435055</td>\n",
 697 |        "      <td>282142</td>\n",
 698 |        "      <td>7399</td>\n",
 699 |        "      <td>Gorillaz - New Gold ft. Tame Impala &amp; Bootie B...</td>\n",
 700 |        "      <td>True</td>\n",
 701 |        "      <td>True</td>\n",
 702 |        "      <td>6.306347e+07</td>\n",
 703 |        "    </tr>\n",
 704 |        "    <tr>\n",
 705 |        "      <th>3</th>\n",
 706 |        "      <td>Gorillaz</td>\n",
 707 |        "      <td>On Melancholy Hill</td>\n",
 708 |        "      <td>Plastic Beach</td>\n",
 709 |        "      <td>album</td>\n",
 710 |        "      <td>0.689</td>\n",
 711 |        "      <td>0.739</td>\n",
 712 |        "      <td>2.0</td>\n",
 713 |        "      <td>-5.810</td>\n",
 714 |        "      <td>0.0260</td>\n",
 715 |        "      <td>0.000015</td>\n",
 716 |        "      <td>...</td>\n",
 717 |        "      <td>120.423</td>\n",
 718 |        "      <td>233867.0</td>\n",
 719 |        "      <td>Gorillaz</td>\n",
 720 |        "      <td>211754952</td>\n",
 721 |        "      <td>1788577</td>\n",
 722 |        "      <td>55229</td>\n",
 723 |        "      <td>Follow Gorillaz online:\\nhttp://gorillaz.com \\...</td>\n",
 724 |        "      <td>True</td>\n",
 725 |        "      <td>True</td>\n",
 726 |        "      <td>4.346636e+08</td>\n",
 727 |        "    </tr>\n",
 728 |        "    <tr>\n",
 729 |        "      <th>4</th>\n",
 730 |        "      <td>Gorillaz</td>\n",
 731 |        "      <td>Clint Eastwood</td>\n",
 732 |        "      <td>Gorillaz</td>\n",
 733 |        "      <td>album</td>\n",
 734 |        "      <td>0.663</td>\n",
 735 |        "      <td>0.694</td>\n",
 736 |        "      <td>10.0</td>\n",
 737 |        "      <td>-8.627</td>\n",
 738 |        "      <td>0.1710</td>\n",
 739 |        "      <td>0.025300</td>\n",
 740 |        "      <td>...</td>\n",
 741 |        "      <td>167.953</td>\n",
 742 |        "      <td>340920.0</td>\n",
 743 |        "      <td>Gorillaz</td>\n",
 744 |        "      <td>618480958</td>\n",
 745 |        "      <td>6197318</td>\n",
 746 |        "      <td>155930</td>\n",
 747 |        "      <td>The official music video for Gorillaz - Clint ...</td>\n",
 748 |        "      <td>True</td>\n",
 749 |        "      <td>True</td>\n",
 750 |        "      <td>6.172597e+08</td>\n",
 751 |        "    </tr>\n",
 752 |        "  </tbody>\n",
 753 |        "</table>\n",
 754 |        "<p>5 rows × 23 columns</p>\n",
 755 |        "</div>"
 756 |       ],
 757 |       "text/plain": [
 758 |        "     Artist                                          Track  \\\n",
 759 |        "0  Gorillaz                                 Feel Good Inc.   \n",
 760 |        "1  Gorillaz                                Rhinestone Eyes   \n",
 761 |        "2  Gorillaz  New Gold (feat. Tame Impala and Bootie Brown)   \n",
 762 |        "3  Gorillaz                             On Melancholy Hill   \n",
 763 |        "4  Gorillaz                                 Clint Eastwood   \n",
 764 |        "\n",
 765 |        "                                           Album Album_type  Danceability  \\\n",
 766 |        "0                                     Demon Days      album         0.818   \n",
 767 |        "1                                  Plastic Beach      album         0.676   \n",
 768 |        "2  New Gold (feat. Tame Impala and Bootie Brown)     single         0.695   \n",
 769 |        "3                                  Plastic Beach      album         0.689   \n",
 770 |        "4                                       Gorillaz      album         0.663   \n",
 771 |        "\n",
 772 |        "   Energy   Key  Loudness  Speechiness  Acousticness  ...    Tempo  \\\n",
 773 |        "0   0.705   6.0    -6.679       0.1770      0.008360  ...  138.559   \n",
 774 |        "1   0.703   8.0    -5.815       0.0302      0.086900  ...   92.761   \n",
 775 |        "2   0.923   1.0    -3.930       0.0522      0.042500  ...  108.014   \n",
 776 |        "3   0.739   2.0    -5.810       0.0260      0.000015  ...  120.423   \n",
 777 |        "4   0.694  10.0    -8.627       0.1710      0.025300  ...  167.953   \n",
 778 |        "\n",
 779 |        "   Duration_ms   Channel      Views    Likes Comments  \\\n",
 780 |        "0     222640.0  Gorillaz  693555221  6220896   169907   \n",
 781 |        "1     200173.0  Gorillaz   72011645  1079128    31003   \n",
 782 |        "2     215150.0  Gorillaz    8435055   282142     7399   \n",
 783 |        "3     233867.0  Gorillaz  211754952  1788577    55229   \n",
 784 |        "4     340920.0  Gorillaz  618480958  6197318   155930   \n",
 785 |        "\n",
 786 |        "                                         Description  Licensed  \\\n",
 787 |        "0  Official HD Video for Gorillaz' fantastic trac...      True   \n",
 788 |        "1  The official video for Gorillaz - Rhinestone E...      True   \n",
 789 |        "2  Gorillaz - New Gold ft. Tame Impala & Bootie B...      True   \n",
 790 |        "3  Follow Gorillaz online:\\nhttp://gorillaz.com \\...      True   \n",
 791 |        "4  The official music video for Gorillaz - Clint ...      True   \n",
 792 |        "\n",
 793 |        "   official_video        Stream  \n",
 794 |        "0            True  1.040235e+09  \n",
 795 |        "1            True  3.100837e+08  \n",
 796 |        "2            True  6.306347e+07  \n",
 797 |        "3            True  4.346636e+08  \n",
 798 |        "4            True  6.172597e+08  \n",
 799 |        "\n",
 800 |        "[5 rows x 23 columns]"
 801 |       ]
 802 |      },
 803 |      "execution_count": 15,
 804 |      "metadata": {},
 805 |      "output_type": "execute_result"
 806 |     }
 807 |    ],
 808 |    "source": [
 809 |     "df.head()"
 810 |    ]
 811 |   },
 812 |   {
 813 |    "cell_type": "code",
 814 |    "execution_count": 16,
 815 |    "id": "a007899b",
 816 |    "metadata": {},
 817 |    "outputs": [
 818 |     {
 819 |      "data": {
 820 |       "text/html": [
 821 |        "<div>\n",
 822 |        "<style scoped>\n",
 823 |        "    .dataframe tbody tr th:only-of-type {\n",
 824 |        "        vertical-align: middle;\n",
 825 |        "    }\n",
 826 |        "\n",
 827 |        "    .dataframe tbody tr th {\n",
 828 |        "        vertical-align: top;\n",
 829 |        "    }\n",
 830 |        "\n",
 831 |        "    .dataframe thead th {\n",
 832 |        "        text-align: right;\n",
 833 |        "    }\n",
 834 |        "</style>\n",
 835 |        "<table border=\"1\" class=\"dataframe\">\n",
 836 |        "  <thead>\n",
 837 |        "    <tr style=\"text-align: right;\">\n",
 838 |        "      <th></th>\n",
 839 |        "      <th>Artist</th>\n",
 840 |        "      <th>Views</th>\n",
 841 |        "    </tr>\n",
 842 |        "  </thead>\n",
 843 |        "  <tbody>\n",
 844 |        "    <tr>\n",
 845 |        "      <th>263</th>\n",
 846 |        "      <td>Bruno Mars</td>\n",
 847 |        "      <td>10231841530</td>\n",
 848 |        "    </tr>\n",
 849 |        "    <tr>\n",
 850 |        "      <th>1163</th>\n",
 851 |        "      <td>Macklemore &amp; Ryan Lewis</td>\n",
 852 |        "      <td>10122055560</td>\n",
 853 |        "    </tr>\n",
 854 |        "    <tr>\n",
 855 |        "      <th>375</th>\n",
 856 |        "      <td>Coldplay</td>\n",
 857 |        "      <td>9997277884</td>\n",
 858 |        "    </tr>\n",
 859 |        "    <tr>\n",
 860 |        "      <th>149</th>\n",
 861 |        "      <td>BLACKPINK</td>\n",
 862 |        "      <td>9392961989</td>\n",
 863 |        "    </tr>\n",
 864 |        "    <tr>\n",
 865 |        "      <th>780</th>\n",
 866 |        "      <td>J Balvin</td>\n",
 867 |        "      <td>8464877693</td>\n",
 868 |        "    </tr>\n",
 869 |        "    <tr>\n",
 870 |        "      <th>1347</th>\n",
 871 |        "      <td>Nicki Minaj</td>\n",
 872 |        "      <td>8017064073</td>\n",
 873 |        "    </tr>\n",
 874 |        "    <tr>\n",
 875 |        "      <th>512</th>\n",
 876 |        "      <td>Earth, Wind &amp; Fire</td>\n",
 877 |        "      <td>6414076580</td>\n",
 878 |        "    </tr>\n",
 879 |        "    <tr>\n",
 880 |        "      <th>1470</th>\n",
 881 |        "      <td>Post Malone</td>\n",
 882 |        "      <td>6394420209</td>\n",
 883 |        "    </tr>\n",
 884 |        "    <tr>\n",
 885 |        "      <th>1390</th>\n",
 886 |        "      <td>One Direction</td>\n",
 887 |        "      <td>6337601549</td>\n",
 888 |        "    </tr>\n",
 889 |        "    <tr>\n",
 890 |        "      <th>1349</th>\n",
 891 |        "      <td>Nicky Jam</td>\n",
 892 |        "      <td>6321868119</td>\n",
 893 |        "    </tr>\n",
 894 |        "  </tbody>\n",
 895 |        "</table>\n",
 896 |        "</div>"
 897 |       ],
 898 |       "text/plain": [
 899 |        "                       Artist        Views\n",
 900 |        "263                Bruno Mars  10231841530\n",
 901 |        "1163  Macklemore & Ryan Lewis  10122055560\n",
 902 |        "375                  Coldplay   9997277884\n",
 903 |        "149                 BLACKPINK   9392961989\n",
 904 |        "780                  J Balvin   8464877693\n",
 905 |        "1347              Nicki Minaj   8017064073\n",
 906 |        "512        Earth, Wind & Fire   6414076580\n",
 907 |        "1470              Post Malone   6394420209\n",
 908 |        "1390            One Direction   6337601549\n",
 909 |        "1349                Nicky Jam   6321868119"
 910 |       ]
 911 |      },
 912 |      "execution_count": 16,
 913 |      "metadata": {},
 914 |      "output_type": "execute_result"
 915 |     }
 916 |    ],
 917 |    "source": [
 918 |     "view=df.groupby('Artist')['Views'].agg('sum').reset_index().sort_values('Views',ascending=False).head(10)\n",
 919 |     "view"
 920 |    ]
 921 |   },
 922 |   {
 923 |    "cell_type": "code",
 924 |    "execution_count": 17,
 925 |    "id": "2b87d533",
 926 |    "metadata": {},
 927 |    "outputs": [
 928 |     {
 929 |      "data": {
 930 |       "text/html": [
 931 |        "<div>\n",
 932 |        "<style scoped>\n",
 933 |        "    .dataframe tbody tr th:only-of-type {\n",
 934 |        "        vertical-align: middle;\n",
 935 |        "    }\n",
 936 |        "\n",
 937 |        "    .dataframe tbody tr th {\n",
 938 |        "        vertical-align: top;\n",
 939 |        "    }\n",
 940 |        "\n",
 941 |        "    .dataframe thead th {\n",
 942 |        "        text-align: right;\n",
 943 |        "    }\n",
 944 |        "</style>\n",
 945 |        "<table border=\"1\" class=\"dataframe\">\n",
 946 |        "  <thead>\n",
 947 |        "    <tr style=\"text-align: right;\">\n",
 948 |        "      <th></th>\n",
 949 |        "      <th>Artist</th>\n",
 950 |        "      <th>Track</th>\n",
 951 |        "      <th>Album</th>\n",
 952 |        "      <th>Album_type</th>\n",
 953 |        "      <th>Danceability</th>\n",
 954 |        "      <th>Energy</th>\n",
 955 |        "      <th>Key</th>\n",
 956 |        "      <th>Loudness</th>\n",
 957 |        "      <th>Speechiness</th>\n",
 958 |        "      <th>Acousticness</th>\n",
 959 |        "      <th>...</th>\n",
 960 |        "      <th>Tempo</th>\n",
 961 |        "      <th>Duration_ms</th>\n",
 962 |        "      <th>Channel</th>\n",
 963 |        "      <th>Views</th>\n",
 964 |        "      <th>Likes</th>\n",
 965 |        "      <th>Comments</th>\n",
 966 |        "      <th>Description</th>\n",
 967 |        "      <th>Licensed</th>\n",
 968 |        "      <th>official_video</th>\n",
 969 |        "      <th>Stream</th>\n",
 970 |        "    </tr>\n",
 971 |        "  </thead>\n",
 972 |        "  <tbody>\n",
 973 |        "    <tr>\n",
 974 |        "      <th>0</th>\n",
 975 |        "      <td>Gorillaz</td>\n",
 976 |        "      <td>Feel Good Inc.</td>\n",
 977 |        "      <td>Demon Days</td>\n",
 978 |        "      <td>album</td>\n",
 979 |        "      <td>0.818</td>\n",
 980 |        "      <td>0.705</td>\n",
 981 |        "      <td>6.0</td>\n",
 982 |        "      <td>-6.679</td>\n",
 983 |        "      <td>0.1770</td>\n",
 984 |        "      <td>0.008360</td>\n",
 985 |        "      <td>...</td>\n",
 986 |        "      <td>138.559</td>\n",
 987 |        "      <td>222640.0</td>\n",
 988 |        "      <td>Gorillaz</td>\n",
 989 |        "      <td>693555221</td>\n",
 990 |        "      <td>6220896</td>\n",
 991 |        "      <td>169907</td>\n",
 992 |        "      <td>Official HD Video for Gorillaz' fantastic trac...</td>\n",
 993 |        "      <td>True</td>\n",
 994 |        "      <td>True</td>\n",
 995 |        "      <td>1.040235e+09</td>\n",
 996 |        "    </tr>\n",
 997 |        "    <tr>\n",
 998 |        "      <th>1</th>\n",
 999 |        "      <td>Gorillaz</td>\n",
1000 |        "      <td>Rhinestone Eyes</td>\n",
1001 |        "      <td>Plastic Beach</td>\n",
1002 |        "      <td>album</td>\n",
1003 |        "      <td>0.676</td>\n",
1004 |        "      <td>0.703</td>\n",
1005 |        "      <td>8.0</td>\n",
1006 |        "      <td>-5.815</td>\n",
1007 |        "      <td>0.0302</td>\n",
1008 |        "      <td>0.086900</td>\n",
1009 |        "      <td>...</td>\n",
1010 |        "      <td>92.761</td>\n",
1011 |        "      <td>200173.0</td>\n",
1012 |        "      <td>Gorillaz</td>\n",
1013 |        "      <td>72011645</td>\n",
1014 |        "      <td>1079128</td>\n",
1015 |        "      <td>31003</td>\n",
1016 |        "      <td>The official video for Gorillaz - Rhinestone E...</td>\n",
1017 |        "      <td>True</td>\n",
1018 |        "      <td>True</td>\n",
1019 |        "      <td>3.100837e+08</td>\n",
1020 |        "    </tr>\n",
1021 |        "    <tr>\n",
1022 |        "      <th>2</th>\n",
1023 |        "      <td>Gorillaz</td>\n",
1024 |        "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
1025 |        "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
1026 |        "      <td>single</td>\n",
1027 |        "      <td>0.695</td>\n",
1028 |        "      <td>0.923</td>\n",
1029 |        "      <td>1.0</td>\n",
1030 |        "      <td>-3.930</td>\n",
1031 |        "      <td>0.0522</td>\n",
1032 |        "      <td>0.042500</td>\n",
1033 |        "      <td>...</td>\n",
1034 |        "      <td>108.014</td>\n",
1035 |        "      <td>215150.0</td>\n",
1036 |        "      <td>Gorillaz</td>\n",
1037 |        "      <td>8435055</td>\n",
1038 |        "      <td>282142</td>\n",
1039 |        "      <td>7399</td>\n",
1040 |        "      <td>Gorillaz - New Gold ft. Tame Impala &amp; Bootie B...</td>\n",
1041 |        "      <td>True</td>\n",
1042 |        "      <td>True</td>\n",
1043 |        "      <td>6.306347e+07</td>\n",
1044 |        "    </tr>\n",
1045 |        "    <tr>\n",
1046 |        "      <th>3</th>\n",
1047 |        "      <td>Gorillaz</td>\n",
1048 |        "      <td>On Melancholy Hill</td>\n",
1049 |        "      <td>Plastic Beach</td>\n",
1050 |        "      <td>album</td>\n",
1051 |        "      <td>0.689</td>\n",
1052 |        "      <td>0.739</td>\n",
1053 |        "      <td>2.0</td>\n",
1054 |        "      <td>-5.810</td>\n",
1055 |        "      <td>0.0260</td>\n",
1056 |        "      <td>0.000015</td>\n",
1057 |        "      <td>...</td>\n",
1058 |        "      <td>120.423</td>\n",
1059 |        "      <td>233867.0</td>\n",
1060 |        "      <td>Gorillaz</td>\n",
1061 |        "      <td>211754952</td>\n",
1062 |        "      <td>1788577</td>\n",
1063 |        "      <td>55229</td>\n",
1064 |        "      <td>Follow Gorillaz online:\\nhttp://gorillaz.com \\...</td>\n",
1065 |        "      <td>True</td>\n",
1066 |        "      <td>True</td>\n",
1067 |        "      <td>4.346636e+08</td>\n",
1068 |        "    </tr>\n",
1069 |        "    <tr>\n",
1070 |        "      <th>4</th>\n",
1071 |        "      <td>Gorillaz</td>\n",
1072 |        "      <td>Clint Eastwood</td>\n",
1073 |        "      <td>Gorillaz</td>\n",
1074 |        "      <td>album</td>\n",
1075 |        "      <td>0.663</td>\n",
1076 |        "      <td>0.694</td>\n",
1077 |        "      <td>10.0</td>\n",
1078 |        "      <td>-8.627</td>\n",
1079 |        "      <td>0.1710</td>\n",
1080 |        "      <td>0.025300</td>\n",
1081 |        "      <td>...</td>\n",
1082 |        "      <td>167.953</td>\n",
1083 |        "      <td>340920.0</td>\n",
1084 |        "      <td>Gorillaz</td>\n",
1085 |        "      <td>618480958</td>\n",
1086 |        "      <td>6197318</td>\n",
1087 |        "      <td>155930</td>\n",
1088 |        "      <td>The official music video for Gorillaz - Clint ...</td>\n",
1089 |        "      <td>True</td>\n",
1090 |        "      <td>True</td>\n",
1091 |        "      <td>6.172597e+08</td>\n",
1092 |        "    </tr>\n",
1093 |        "  </tbody>\n",
1094 |        "</table>\n",
1095 |        "<p>5 rows × 23 columns</p>\n",
1096 |        "</div>"
1097 |       ],
1098 |       "text/plain": [
1099 |        "     Artist                                          Track  \\\n",
1100 |        "0  Gorillaz                                 Feel Good Inc.   \n",
1101 |        "1  Gorillaz                                Rhinestone Eyes   \n",
1102 |        "2  Gorillaz  New Gold (feat. Tame Impala and Bootie Brown)   \n",
1103 |        "3  Gorillaz                             On Melancholy Hill   \n",
1104 |        "4  Gorillaz                                 Clint Eastwood   \n",
1105 |        "\n",
1106 |        "                                           Album Album_type  Danceability  \\\n",
1107 |        "0                                     Demon Days      album         0.818   \n",
1108 |        "1                                  Plastic Beach      album         0.676   \n",
1109 |        "2  New Gold (feat. Tame Impala and Bootie Brown)     single         0.695   \n",
1110 |        "3                                  Plastic Beach      album         0.689   \n",
1111 |        "4                                       Gorillaz      album         0.663   \n",
1112 |        "\n",
1113 |        "   Energy   Key  Loudness  Speechiness  Acousticness  ...    Tempo  \\\n",
1114 |        "0   0.705   6.0    -6.679       0.1770      0.008360  ...  138.559   \n",
1115 |        "1   0.703   8.0    -5.815       0.0302      0.086900  ...   92.761   \n",
1116 |        "2   0.923   1.0    -3.930       0.0522      0.042500  ...  108.014   \n",
1117 |        "3   0.739   2.0    -5.810       0.0260      0.000015  ...  120.423   \n",
1118 |        "4   0.694  10.0    -8.627       0.1710      0.025300  ...  167.953   \n",
1119 |        "\n",
1120 |        "   Duration_ms   Channel      Views    Likes Comments  \\\n",
1121 |        "0     222640.0  Gorillaz  693555221  6220896   169907   \n",
1122 |        "1     200173.0  Gorillaz   72011645  1079128    31003   \n",
1123 |        "2     215150.0  Gorillaz    8435055   282142     7399   \n",
1124 |        "3     233867.0  Gorillaz  211754952  1788577    55229   \n",
1125 |        "4     340920.0  Gorillaz  618480958  6197318   155930   \n",
1126 |        "\n",
1127 |        "                                         Description  Licensed  \\\n",
1128 |        "0  Official HD Video for Gorillaz' fantastic trac...      True   \n",
1129 |        "1  The official video for Gorillaz - Rhinestone E...      True   \n",
1130 |        "2  Gorillaz - New Gold ft. Tame Impala & Bootie B...      True   \n",
1131 |        "3  Follow Gorillaz online:\\nhttp://gorillaz.com \\...      True   \n",
1132 |        "4  The official music video for Gorillaz - Clint ...      True   \n",
1133 |        "\n",
1134 |        "   official_video        Stream  \n",
1135 |        "0            True  1.040235e+09  \n",
1136 |        "1            True  3.100837e+08  \n",
1137 |        "2            True  6.306347e+07  \n",
1138 |        "3            True  4.346636e+08  \n",
1139 |        "4            True  6.172597e+08  \n",
1140 |        "\n",
1141 |        "[5 rows x 23 columns]"
1142 |       ]
1143 |      },
1144 |      "execution_count": 17,
1145 |      "metadata": {},
1146 |      "output_type": "execute_result"
1147 |     }
1148 |    ],
1149 |    "source": [
1150 |     "df.head()"
1151 |    ]
1152 |   },
1153 |   {
1154 |    "cell_type": "code",
1155 |    "execution_count": 18,
1156 |    "id": "bb71614d",
1157 |    "metadata": {},
1158 |    "outputs": [
1159 |     {
1160 |      "ename": "KeyboardInterrupt",
1161 |      "evalue": "",
1162 |      "output_type": "error",
1163 |      "traceback": [
1164 |       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
1165 |       "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
1166 |       "Cell \u001b[1;32mIn[18], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m df\u001b[38;5;241m.\u001b[39mset_index(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mArtist\u001b[39m\u001b[38;5;124m'\u001b[39m,inplace\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m----> 2\u001b[0m \u001b[43mdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mbar\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mcolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mg\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m      3\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mArtist\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      4\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mViews\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
1167 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_core.py:1000\u001b[0m, in \u001b[0;36mPlotAccessor.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    997\u001b[0m             label_name \u001b[38;5;241m=\u001b[39m label_kw \u001b[38;5;129;01mor\u001b[39;00m data\u001b[38;5;241m.\u001b[39mcolumns\n\u001b[0;32m    998\u001b[0m             data\u001b[38;5;241m.\u001b[39mcolumns \u001b[38;5;241m=\u001b[39m label_name\n\u001b[1;32m-> 1000\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plot_backend\u001b[38;5;241m.\u001b[39mplot(data, kind\u001b[38;5;241m=\u001b[39mkind, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
1168 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\__init__.py:71\u001b[0m, in \u001b[0;36mplot\u001b[1;34m(data, kind, **kwargs)\u001b[0m\n\u001b[0;32m     69\u001b[0m         kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124max\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(ax, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mleft_ax\u001b[39m\u001b[38;5;124m\"\u001b[39m, ax)\n\u001b[0;32m     70\u001b[0m plot_obj \u001b[38;5;241m=\u001b[39m PLOT_CLASSES[kind](data, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m---> 71\u001b[0m \u001b[43mplot_obj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     72\u001b[0m plot_obj\u001b[38;5;241m.\u001b[39mdraw()\n\u001b[0;32m     73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plot_obj\u001b[38;5;241m.\u001b[39mresult\n",
1169 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:452\u001b[0m, in \u001b[0;36mMPLPlot.generate\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    450\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compute_plot_data()\n\u001b[0;32m    451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_setup_subplots()\n\u001b[1;32m--> 452\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    453\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_add_table()\n\u001b[0;32m    454\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_legend()\n",
1170 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:1721\u001b[0m, in \u001b[0;36mBarPlot._make_plot\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1719\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m   1720\u001b[0m     w \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbar_width \u001b[38;5;241m/\u001b[39m K\n\u001b[1;32m-> 1721\u001b[0m     rect \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_plot(\n\u001b[0;32m   1722\u001b[0m         ax,\n\u001b[0;32m   1723\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max_pos \u001b[38;5;241m+\u001b[39m (i \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m0.5\u001b[39m) \u001b[38;5;241m*\u001b[39m w,\n\u001b[0;32m   1724\u001b[0m         y,\n\u001b[0;32m   1725\u001b[0m         w,\n\u001b[0;32m   1726\u001b[0m         start\u001b[38;5;241m=\u001b[39mstart,\n\u001b[0;32m   1727\u001b[0m         label\u001b[38;5;241m=\u001b[39mlabel,\n\u001b[0;32m   1728\u001b[0m         log\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlog,\n\u001b[0;32m   1729\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds,\n\u001b[0;32m   1730\u001b[0m     )\n\u001b[0;32m   1731\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_append_legend_handles_labels(rect, label)\n",
1171 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:1651\u001b[0m, in \u001b[0;36mBarPlot._plot\u001b[1;34m(cls, ax, x, y, w, start, log, **kwds)\u001b[0m\n\u001b[0;32m   1647\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[0;32m   1648\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_plot\u001b[39m(  \u001b[38;5;66;03m# type: ignore[override]\u001b[39;00m\n\u001b[0;32m   1649\u001b[0m     \u001b[38;5;28mcls\u001b[39m, ax: Axes, x, y, w, start\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, log\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds\n\u001b[0;32m   1650\u001b[0m ):\n\u001b[1;32m-> 1651\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m ax\u001b[38;5;241m.\u001b[39mbar(x, y, w, bottom\u001b[38;5;241m=\u001b[39mstart, log\u001b[38;5;241m=\u001b[39mlog, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n",
1172 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\__init__.py:1442\u001b[0m, in \u001b[0;36m_preprocess_data.<locals>.inner\u001b[1;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1439\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[0;32m   1440\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m   1441\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1442\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m func(ax, \u001b[38;5;241m*\u001b[39m\u001b[38;5;28mmap\u001b[39m(sanitize_sequence, args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1444\u001b[0m     bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1445\u001b[0m     auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[0;32m   1446\u001b[0m                   \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n",
1173 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:2494\u001b[0m, in \u001b[0;36mAxes.bar\u001b[1;34m(self, x, height, width, bottom, align, **kwargs)\u001b[0m\n\u001b[0;32m   2492\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:  \u001b[38;5;66;03m# horizontal\u001b[39;00m\n\u001b[0;32m   2493\u001b[0m         r\u001b[38;5;241m.\u001b[39msticky_edges\u001b[38;5;241m.\u001b[39mx\u001b[38;5;241m.\u001b[39mappend(l)\n\u001b[1;32m-> 2494\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_patch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mr\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2495\u001b[0m     patches\u001b[38;5;241m.\u001b[39mappend(r)\n\u001b[0;32m   2497\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m xerr \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m yerr \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
1174 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\axes\\_base.py:2379\u001b[0m, in \u001b[0;36m_AxesBase.add_patch\u001b[1;34m(self, p)\u001b[0m\n\u001b[0;32m   2377\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m p\u001b[38;5;241m.\u001b[39mget_clip_path() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m   2378\u001b[0m     p\u001b[38;5;241m.\u001b[39mset_clip_path(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpatch)\n\u001b[1;32m-> 2379\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_patch_limits\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2380\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_children\u001b[38;5;241m.\u001b[39mappend(p)\n\u001b[0;32m   2381\u001b[0m p\u001b[38;5;241m.\u001b[39m_remove_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_children\u001b[38;5;241m.\u001b[39mremove\n",
1175 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\axes\\_base.py:2401\u001b[0m, in \u001b[0;36m_AxesBase._update_patch_limits\u001b[1;34m(self, patch)\u001b[0m\n\u001b[0;32m   2398\u001b[0m \u001b[38;5;66;03m# Get all vertices on the path\u001b[39;00m\n\u001b[0;32m   2399\u001b[0m \u001b[38;5;66;03m# Loop through each segment to get extrema for Bezier curve sections\u001b[39;00m\n\u001b[0;32m   2400\u001b[0m vertices \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m-> 2401\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m curve, code \u001b[38;5;129;01min\u001b[39;00m p\u001b[38;5;241m.\u001b[39miter_bezier(simplify\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[0;32m   2402\u001b[0m     \u001b[38;5;66;03m# Get distance along the curve of any extrema\u001b[39;00m\n\u001b[0;32m   2403\u001b[0m     _, dzeros \u001b[38;5;241m=\u001b[39m curve\u001b[38;5;241m.\u001b[39maxis_aligned_extrema()\n\u001b[0;32m   2404\u001b[0m     \u001b[38;5;66;03m# Calculate vertices of start, end and any extrema in between\u001b[39;00m\n",
1176 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\path.py:443\u001b[0m, in \u001b[0;36mPath.iter_bezier\u001b[1;34m(self, **kwargs)\u001b[0m\n\u001b[0;32m    441\u001b[0m first_vert \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m    442\u001b[0m prev_vert \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m--> 443\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m verts, code \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miter_segments(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m    444\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m first_vert \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    445\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m code \u001b[38;5;241m!=\u001b[39m Path\u001b[38;5;241m.\u001b[39mMOVETO:\n",
1177 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\path.py:397\u001b[0m, in \u001b[0;36mPath.iter_segments\u001b[1;34m(self, transform, remove_nans, clip, snap, stroke_width, simplify, curves, sketch)\u001b[0m\n\u001b[0;32m    394\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    395\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m--> 397\u001b[0m cleaned \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcleaned\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtransform\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    398\u001b[0m \u001b[43m                       \u001b[49m\u001b[43mremove_nans\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mremove_nans\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclip\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mclip\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    399\u001b[0m \u001b[43m                       \u001b[49m\u001b[43msnap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msnap\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstroke_width\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstroke_width\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    400\u001b[0m \u001b[43m                       \u001b[49m\u001b[43msimplify\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msimplify\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcurves\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcurves\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    401\u001b[0m \u001b[43m                       \u001b[49m\u001b[43msketch\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msketch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    403\u001b[0m \u001b[38;5;66;03m# Cache these object lookups for performance in the loop.\u001b[39;00m\n\u001b[0;32m    404\u001b[0m NUM_VERTICES_FOR_CODE \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mNUM_VERTICES_FOR_CODE\n",
1178 |       "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\path.py:477\u001b[0m, in \u001b[0;36mPath.cleaned\u001b[1;34m(self, transform, remove_nans, clip, simplify, curves, stroke_width, snap, sketch)\u001b[0m\n\u001b[0;32m    466\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcleaned\u001b[39m(\u001b[38;5;28mself\u001b[39m, transform\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, remove_nans\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, clip\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m    467\u001b[0m             \u001b[38;5;241m*\u001b[39m, simplify\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, curves\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[0;32m    468\u001b[0m             stroke_width\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.0\u001b[39m, snap\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, sketch\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m    469\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    470\u001b[0m \u001b[38;5;124;03m    Return a new Path with vertices and codes cleaned according to the\u001b[39;00m\n\u001b[0;32m    471\u001b[0m \u001b[38;5;124;03m    parameters.\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    475\u001b[0m \u001b[38;5;124;03m    Path.iter_segments : for details of the keyword arguments.\u001b[39;00m\n\u001b[0;32m    476\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 477\u001b[0m     vertices, codes \u001b[38;5;241m=\u001b[39m \u001b[43m_path\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcleanup_path\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    478\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtransform\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mremove_nans\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclip\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msnap\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstroke_width\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msimplify\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    479\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcurves\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msketch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    480\u001b[0m     pth \u001b[38;5;241m=\u001b[39m Path\u001b[38;5;241m.\u001b[39m_fast_from_codes_and_verts(vertices, codes, \u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m    481\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m simplify:\n",
1179 |       "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
1180 |      ]
1181 |     },
1182 |     {
1183 |      "data": {
1184 |       "image/png": 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\n",
1185 |       "text/plain": [
1186 |        "<Figure size 640x480 with 1 Axes>"
1187 |       ]
1188 |      },
1189 |      "metadata": {},
1190 |      "output_type": "display_data"
1191 |     }
1192 |    ],
1193 |    "source": [
1194 |     "df.set_index('Artist',inplace=True)\n",
1195 |     "df.plot(kind='bar',color='g')\n",
1196 |     "plt.xlabel('Artist')\n",
1197 |     "plt.ylabel('Views')\n",
1198 |     "plt.title('Top 10 Artist with higher views')\n",
1199 |     "plt.xticks(rotation=70)\n",
1200 |     "plt.show()\n"
1201 |    ]
1202 |   },
1203 |   {
1204 |    "cell_type": "code",
1205 |    "execution_count": null,
1206 |    "id": "b4b952be",
1207 |    "metadata": {},
1208 |    "outputs": [],
1209 |    "source": [
1210 |     "df.groupby('Artist')['Likes'].agg('sum').sort_values(ascending=False).head(10)"
1211 |    ]
1212 |   },
1213 |   {
1214 |    "cell_type": "code",
1215 |    "execution_count": null,
1216 |    "id": "015f0024",
1217 |    "metadata": {},
1218 |    "outputs": [],
1219 |    "source": [
1220 |     "#make graph of the top 10 most liked artists in Youtube, bar chart\n",
1221 |     "ax=df.groupby('Artist').agg({'Likes':'sum','Stream':'sum'}).reset_index()\n",
1222 |     "bx=ax.sort_values('Likes',ascending=False).head(10)\n",
1223 |     "sns.barplot(data=bx,x='Likes',y='Artist')\n",
1224 |     "plt.title('Top 10 most Liked Artist ')\n",
1225 |     "plt.show()"
1226 |    ]
1227 |   },
1228 |   {
1229 |    "cell_type": "markdown",
1230 |    "id": "aa429715",
1231 |    "metadata": {},
1232 |    "source": [
1233 |     "# Determine the top 10 Streamers on spotify"
1234 |    ]
1235 |   },
1236 |   {
1237 |    "cell_type": "code",
1238 |    "execution_count": null,
1239 |    "id": "425fc3e0",
1240 |    "metadata": {},
1241 |    "outputs": [],
1242 |    "source": [
1243 |     "cx=ax.sort_values('Stream',ascending=False).head(10)"
1244 |    ]
1245 |   },
1246 |   {
1247 |    "cell_type": "code",
1248 |    "execution_count": null,
1249 |    "id": "e767d53d",
1250 |    "metadata": {},
1251 |    "outputs": [],
1252 |    "source": [
1253 |     "cx=ax.sort_values('Stream',ascending=False).head(10)"
1254 |    ]
1255 |   },
1256 |   {
1257 |    "cell_type": "code",
1258 |    "execution_count": null,
1259 |    "id": "e94afb99",
1260 |    "metadata": {},
1261 |    "outputs": [],
1262 |    "source": [
1263 |     "df.groupby('Artist')['Stream'].agg('sum').head(10)"
1264 |    ]
1265 |   },
1266 |   {
1267 |    "cell_type": "code",
1268 |    "execution_count": null,
1269 |    "id": "e28fc3ca",
1270 |    "metadata": {},
1271 |    "outputs": [],
1272 |    "source": [
1273 |     "sns.barplot(data=cx,y='Stream',x='Artist')\n",
1274 |     "plt.xticks(rotation=80)\n",
1275 |     "plt.title('Top 10 streamers')\n",
1276 |     "plt.show()"
1277 |    ]
1278 |   },
1279 |   {
1280 |    "cell_type": "markdown",
1281 |    "id": "32a094cd",
1282 |    "metadata": {},
1283 |    "source": [
1284 |     "# who is the most commented artist on youtube"
1285 |    ]
1286 |   },
1287 |   {
1288 |    "cell_type": "code",
1289 |    "execution_count": null,
1290 |    "id": "838f0ed1",
1291 |    "metadata": {},
1292 |    "outputs": [],
1293 |    "source": [
1294 |     "ax=df.groupby('Artist')['Comments'].sum().reset_index().sort_values(by='Comments',ascending=False).head(10)\n",
1295 |     "ax"
1296 |    ]
1297 |   },
1298 |   {
1299 |    "cell_type": "code",
1300 |    "execution_count": null,
1301 |    "id": "4b56106e",
1302 |    "metadata": {},
1303 |    "outputs": [],
1304 |    "source": [
1305 |     "tc=df.groupby('Track').agg({'Views':'sum','Comments':'sum','Likes':'sum'}).reset_index()\n",
1306 |     "bv=tc.sort_values('Views',ascending=False).head(10)\n",
1307 |     "bv"
1308 |    ]
1309 |   },
1310 |   {
1311 |    "cell_type": "code",
1312 |    "execution_count": null,
1313 |    "id": "9e6eded9",
1314 |    "metadata": {},
1315 |    "outputs": [],
1316 |    "source": [
1317 |     "plt.barh(bv['Track'],bv['Views'],color='b')\n",
1318 |     "plt.title('Top 10 most Viewed tracks')\n",
1319 |     "plt.show()"
1320 |    ]
1321 |   },
1322 |   {
1323 |    "cell_type": "markdown",
1324 |    "id": "5e29d360",
1325 |    "metadata": {},
1326 |    "source": [
1327 |     "# determine most commented song on youtube"
1328 |    ]
1329 |   },
1330 |   {
1331 |    "cell_type": "code",
1332 |    "execution_count": null,
1333 |    "id": "503adcb2",
1334 |    "metadata": {},
1335 |    "outputs": [],
1336 |    "source": [
1337 |     "av=tc.sort_values('Comments',ascending=False).head(10)\n",
1338 |     "av"
1339 |    ]
1340 |   },
1341 |   {
1342 |    "cell_type": "code",
1343 |    "execution_count": null,
1344 |    "id": "acc0d51c",
1345 |    "metadata": {},
1346 |    "outputs": [],
1347 |    "source": [
1348 |     "plt.barh(av['Track'],av['Comments'])\n",
1349 |     "plt.title('Top 10 most commented Tracks')\n",
1350 |     "plt.show()\n"
1351 |    ]
1352 |   },
1353 |   {
1354 |    "cell_type": "markdown",
1355 |    "id": "f0e974fd",
1356 |    "metadata": {},
1357 |    "source": [
1358 |     "# most liked song on youtube or spotify"
1359 |    ]
1360 |   },
1361 |   {
1362 |    "cell_type": "code",
1363 |    "execution_count": null,
1364 |    "id": "ff33fdff",
1365 |    "metadata": {},
1366 |    "outputs": [],
1367 |    "source": [
1368 |     "sn=tc.sort_values('Likes',ascending=False).head(10)\n",
1369 |     "sn"
1370 |    ]
1371 |   },
1372 |   {
1373 |    "cell_type": "code",
1374 |    "execution_count": null,
1375 |    "id": "e4bd6887",
1376 |    "metadata": {},
1377 |    "outputs": [],
1378 |    "source": [
1379 |     "plt.barh(sn['Track'],sn['Likes'],color='r')\n",
1380 |     "plt.title('Top 10 most Liked tracks')\n",
1381 |     "plt.show()"
1382 |    ]
1383 |   },
1384 |   {
1385 |    "cell_type": "markdown",
1386 |    "id": "197558cf",
1387 |    "metadata": {},
1388 |    "source": [
1389 |     "# most viewed song relatiship with stream"
1390 |    ]
1391 |   },
1392 |   {
1393 |    "cell_type": "code",
1394 |    "execution_count": null,
1395 |    "id": "fe3a6b35",
1396 |    "metadata": {},
1397 |    "outputs": [],
1398 |    "source": [
1399 |     "df.groupby('Track').agg({'Views':'sum','Stream':'sum'}).reset_index().sort_values(by='Views' ,ascending=False).head(10)\n"
1400 |    ]
1401 |   },
1402 |   {
1403 |    "cell_type": "markdown",
1404 |    "id": "864ecaea",
1405 |    "metadata": {},
1406 |    "source": [
1407 |     "# which is the most viewed album type on youtube"
1408 |    ]
1409 |   },
1410 |   {
1411 |    "cell_type": "code",
1412 |    "execution_count": null,
1413 |    "id": "2d9b6b49",
1414 |    "metadata": {},
1415 |    "outputs": [],
1416 |    "source": [
1417 |     "ac=df.groupby(['Album_type'])['Views'].sum().head()\n",
1418 |     "ac"
1419 |    ]
1420 |   },
1421 |   {
1422 |    "cell_type": "markdown",
1423 |    "id": "f56d74d0",
1424 |    "metadata": {},
1425 |    "source": [
1426 |     "# which album type is getting more views"
1427 |    ]
1428 |   },
1429 |   {
1430 |    "cell_type": "code",
1431 |    "execution_count": null,
1432 |    "id": "9cf30f88",
1433 |    "metadata": {},
1434 |    "outputs": [],
1435 |    "source": [
1436 |     "gp=df.groupby('Album_type')['Views'].sum().reset_index()\n",
1437 |     "sns.set(style=\"whitegrid\")\n",
1438 |     "plt.pie(data=gp,x='Views',labels='Album_type',autopct='%1.0f%%')\n",
1439 |     "plt.title('Album Views by Types')\n",
1440 |     "plt.show()"
1441 |    ]
1442 |   },
1443 |   {
1444 |    "cell_type": "markdown",
1445 |    "id": "163c2fe8",
1446 |    "metadata": {},
1447 |    "source": [
1448 |     "# Top 10 licensed album on youtube & spotify\n"
1449 |    ]
1450 |   },
1451 |   {
1452 |    "cell_type": "code",
1453 |    "execution_count": null,
1454 |    "id": "916b5dfa",
1455 |    "metadata": {},
1456 |    "outputs": [],
1457 |    "source": [
1458 |     "al=df[df['Licensed']==1]\n",
1459 |     "la=al['Album'].value_counts()[:10]\n",
1460 |     "plt.pie(la,autopct='%.2f%%',labels=la.index)\n",
1461 |     "plt.show()"
1462 |    ]
1463 |   },
1464 |   {
1465 |    "cell_type": "code",
1466 |    "execution_count": null,
1467 |    "id": "32e7ed62",
1468 |    "metadata": {},
1469 |    "outputs": [],
1470 |    "source": []
1471 |   }
1472 |  ],
1473 |  "metadata": {
1474 |   "kernelspec": {
1475 |    "display_name": "Python 3 (ipykernel)",
1476 |    "language": "python",
1477 |    "name": "python3"
1478 |   },
1479 |   "language_info": {
1480 |    "codemirror_mode": {
1481 |     "name": "ipython",
1482 |     "version": 3
1483 |    },
1484 |    "file_extension": ".py",
1485 |    "mimetype": "text/x-python",
1486 |    "name": "python",
1487 |    "nbconvert_exporter": "python",
1488 |    "pygments_lexer": "ipython3",
1489 |    "version": "3.10.9"
1490 |   }
1491 |  },
1492 |  "nbformat": 4,
1493 |  "nbformat_minor": 5
1494 | }
1495 | 


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