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      "source": [
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      ],
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        "id": "qlGODgTPe9cm"
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    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "import seaborn as sns\n",
        "import statsmodels.api as sm\n",
        "from warnings import filterwarnings\n",
        "import os\n",
        "from scipy.spatial.distance import pdist, squareform\n",
        "from sklearn.decomposition import PCA\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "filterwarnings('ignore')"
      ],
      "metadata": {
        "id": "MRTwiBIZBaBK"
      },
      "execution_count": 2,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "songs_data = pd.read_csv('top 100 streamed songs.csv').drop(columns=['id'])\n",
        "songs_data.head()"
      ],
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              "                                                name  duration  energy  key  \\\n",
              "0                            Good 4 U Olivia Rodrigo      2.97   0.664    9   \n",
              "1                 Stay The Kid LAROI & Justin Bieber      2.30   0.506    8   \n",
              "2                   Levitating Dua Lipa feat. DaBaby      3.38   0.825    6   \n",
              "3  Peaches Justin Bieber feat. Daniel Caesar & Gi...      3.30   0.696    0   \n",
              "4           Montero (Call Me By Your Name) Lil Nas X      2.30   0.503    8   \n",
              "\n",
              "   loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
              "0    -5.044     1       0.1540       0.33500             0.000    0.0849   \n",
              "1   -11.275     1       0.0589       0.37900             0.868    0.1100   \n",
              "2    -3.787     0       0.0601       0.00883             0.000    0.0674   \n",
              "3    -6.181     1       0.1190       0.32100             0.000    0.4200   \n",
              "4    -6.725     0       0.2200       0.29300             0.000    0.4050   \n",
              "\n",
              "   valence    tempo  danceability  \n",
              "0    0.688  166.928         0.563  \n",
              "1    0.454  170.054         0.564  \n",
              "2    0.915  102.977         0.702  \n",
              "3    0.464   90.030         0.677  \n",
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      "source": [
        "songs_data.shape"
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        "id": "nSozpaUQECvv",
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      },
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          "data": {
            "text/plain": [
              "(100, 13)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
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      "cell_type": "code",
      "source": [
        "songs = songs_data.drop(columns=['name'])\n",
        "songs"
      ],
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        "colab": {
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          "height": 444
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            "text/plain": [
              "    duration  energy  key  loudness  mode  speechiness  acousticness  \\\n",
              "0       2.97   0.664    9    -5.044     1       0.1540       0.33500   \n",
              "1       2.30   0.506    8   -11.275     1       0.0589       0.37900   \n",
              "2       3.38   0.825    6    -3.787     0       0.0601       0.00883   \n",
              "3       3.30   0.696    0    -6.181     1       0.1190       0.32100   \n",
              "4       2.30   0.503    8    -6.725     0       0.2200       0.29300   \n",
              "..       ...     ...  ...       ...   ...          ...           ...   \n",
              "95      3.30   0.696    0    -6.181     1       0.1190       0.32100   \n",
              "96      3.37   0.748   11    -5.922     0       0.0589       0.30500   \n",
              "97      2.91   0.340   11    -7.773     0       0.0697       0.21800   \n",
              "98      3.45   0.754    1    -6.684     1       0.0615       0.01510   \n",
              "99      2.30   0.503    8    -6.725     0       0.2200       0.29300   \n",
              "\n",
              "    instrumentalness  liveness  valence    tempo  danceability  \n",
              "0              0.000    0.0849    0.688  166.928         0.563  \n",
              "1              0.868    0.1100    0.454  170.054         0.564  \n",
              "2              0.000    0.0674    0.915  102.977         0.702  \n",
              "3              0.000    0.4200    0.464   90.030         0.677  \n",
              "4              0.000    0.4050    0.710  178.781         0.593  \n",
              "..               ...       ...      ...      ...           ...  \n",
              "95             0.000    0.4200    0.464   90.030         0.677  \n",
              "96             0.000    0.0811    0.964  163.984         0.672  \n",
              "97             0.130    0.0550    0.716   94.009         0.889  \n",
              "98             0.000    0.0486    0.755  149.789         0.752  \n",
              "99             0.000    0.4050    0.710  178.781         0.593  \n",
              "\n",
              "[100 rows x 12 columns]"
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              "      <td>178.781</td>\n",
              "      <td>0.593</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>3.30</td>\n",
              "      <td>0.696</td>\n",
              "      <td>0</td>\n",
              "      <td>-6.181</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1190</td>\n",
              "      <td>0.32100</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.4200</td>\n",
              "      <td>0.464</td>\n",
              "      <td>90.030</td>\n",
              "      <td>0.677</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>3.37</td>\n",
              "      <td>0.748</td>\n",
              "      <td>11</td>\n",
              "      <td>-5.922</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0589</td>\n",
              "      <td>0.30500</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0811</td>\n",
              "      <td>0.964</td>\n",
              "      <td>163.984</td>\n",
              "      <td>0.672</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>2.91</td>\n",
              "      <td>0.340</td>\n",
              "      <td>11</td>\n",
              "      <td>-7.773</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0697</td>\n",
              "      <td>0.21800</td>\n",
              "      <td>0.130</td>\n",
              "      <td>0.0550</td>\n",
              "      <td>0.716</td>\n",
              "      <td>94.009</td>\n",
              "      <td>0.889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>3.45</td>\n",
              "      <td>0.754</td>\n",
              "      <td>1</td>\n",
              "      <td>-6.684</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0615</td>\n",
              "      <td>0.01510</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0486</td>\n",
              "      <td>0.755</td>\n",
              "      <td>149.789</td>\n",
              "      <td>0.752</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>2.30</td>\n",
              "      <td>0.503</td>\n",
              "      <td>8</td>\n",
              "      <td>-6.725</td>\n",
              "      <td>0</td>\n",
              "      <td>0.2200</td>\n",
              "      <td>0.29300</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.4050</td>\n",
              "      <td>0.710</td>\n",
              "      <td>178.781</td>\n",
              "      <td>0.593</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 12 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3dba83df-8ee7-4447-a8d4-41c4e1a48ded')\"\n",
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              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-3dba83df-8ee7-4447-a8d4-41c4e1a48ded button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3dba83df-8ee7-4447-a8d4-41c4e1a48ded');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d5eb0b26-4c86-4995-9c69-6a9740e610b9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d5eb0b26-4c86-4995-9c69-6a9740e610b9')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const charts = await google.colab.kernel.invokeFunction(\n",
              "          'suggestCharts', [key], {});\n",
              "    }\n",
              "    (() => {\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "songs.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0G9tXL8UEHyq",
        "outputId": "f7791e49-279b-4ec0-9807-5deffe3cd345"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(100, 12)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "songs.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "id": "bFkuZlUbCHMS",
        "outputId": "f1ba4bd5-439c-4112-d4aa-03fd65d5ff07"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   duration  energy  key  loudness  mode  speechiness  acousticness  \\\n",
              "0      2.97   0.664    9    -5.044     1       0.1540       0.33500   \n",
              "1      2.30   0.506    8   -11.275     1       0.0589       0.37900   \n",
              "2      3.38   0.825    6    -3.787     0       0.0601       0.00883   \n",
              "3      3.30   0.696    0    -6.181     1       0.1190       0.32100   \n",
              "4      2.30   0.503    8    -6.725     0       0.2200       0.29300   \n",
              "\n",
              "   instrumentalness  liveness  valence    tempo  danceability  \n",
              "0             0.000    0.0849    0.688  166.928         0.563  \n",
              "1             0.868    0.1100    0.454  170.054         0.564  \n",
              "2             0.000    0.0674    0.915  102.977         0.702  \n",
              "3             0.000    0.4200    0.464   90.030         0.677  \n",
              "4             0.000    0.4050    0.710  178.781         0.593  "
            ],
            "text/html": [
              "\n",
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              "    <div>\n",
              "<style scoped>\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>duration</th>\n",
              "      <th>energy</th>\n",
              "      <th>key</th>\n",
              "      <th>loudness</th>\n",
              "      <th>mode</th>\n",
              "      <th>speechiness</th>\n",
              "      <th>acousticness</th>\n",
              "      <th>instrumentalness</th>\n",
              "      <th>liveness</th>\n",
              "      <th>valence</th>\n",
              "      <th>tempo</th>\n",
              "      <th>danceability</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2.97</td>\n",
              "      <td>0.664</td>\n",
              "      <td>9</td>\n",
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              "      <td>0.1540</td>\n",
              "      <td>0.33500</td>\n",
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              "      <td>0.37900</td>\n",
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              "      <td>170.054</td>\n",
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              "    <tr>\n",
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              "      <td>0.702</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
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              "      <td>90.030</td>\n",
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              "    <tr>\n",
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              "      <td>0.4050</td>\n",
              "      <td>0.710</td>\n",
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              "      <td>0.593</td>\n",
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              "\n",
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              "\n",
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              "        document.querySelector('#df-b3452817-1d14-432b-9d28-4d9729375308 button.colab-df-convert');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const element = document.querySelector('#df-b3452817-1d14-432b-9d28-4d9729375308');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  </button>\n",
              "\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const charts = await google.colab.kernel.invokeFunction(\n",
              "          'suggestCharts', [key], {});\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-598189ca-9904-4297-8ba0-be2f0275066d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "songs.hist(figsize = (9,9));"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 776
        },
        "id": "j4wdZCfJCLM5",
        "outputId": "961c6374-4790-439e-a941-bd272205c4d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x900 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "songs.describe().T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "P4WzqG1dCk72",
        "outputId": "31017c60-b820-4a41-f748-282a9f43e4e1"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  count        mean        std       min        25%       50%  \\\n",
              "duration          100.0    3.404900   0.927022   0.73000   2.910000    3.3700   \n",
              "energy            100.0    0.587650   0.168273   0.15700   0.477750    0.6090   \n",
              "key               100.0    5.050000   3.825420   0.00000   1.000000    5.0000   \n",
              "loudness          100.0   -6.577120   2.447338 -14.06700  -7.676250   -6.2625   \n",
              "mode              100.0    0.560000   0.498888   0.00000   0.000000    1.0000   \n",
              "speechiness       100.0    0.075461   0.068065   0.02530   0.036100    0.0518   \n",
              "acousticness      100.0    0.314539   0.281076   0.00028   0.090750    0.2385   \n",
              "instrumentalness  100.0    0.070682   0.221947   0.00000   0.000000    0.0000   \n",
              "liveness          100.0    0.161737   0.112657   0.03410   0.088375    0.1200   \n",
              "valence           100.0    0.517354   0.237512   0.05920   0.329000    0.5420   \n",
              "tempo             100.0  121.548260  29.148613  71.88400  97.476250  117.0375   \n",
              "danceability      100.0    0.647900   0.126942   0.35200   0.566750    0.6635   \n",
              "\n",
              "                         75%      max  \n",
              "duration            3.630000   10.220  \n",
              "energy              0.707750    0.883  \n",
              "key                 8.000000   11.000  \n",
              "loudness           -4.786750   -2.724  \n",
              "mode                1.000000    1.000  \n",
              "speechiness         0.080650    0.368  \n",
              "acousticness        0.519750    0.941  \n",
              "instrumentalness    0.000083    0.941  \n",
              "liveness            0.205250    0.509  \n",
              "valence             0.711500    0.967  \n",
              "tempo             141.733750  180.917  \n",
              "danceability        0.734000    0.910  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-36e2f245-d06a-48c3-9c46-5520c7095c40\" class=\"colab-df-container\">\n",
              "    <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>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>duration</th>\n",
              "      <td>100.0</td>\n",
              "      <td>3.404900</td>\n",
              "      <td>0.927022</td>\n",
              "      <td>0.73000</td>\n",
              "      <td>2.910000</td>\n",
              "      <td>3.3700</td>\n",
              "      <td>3.630000</td>\n",
              "      <td>10.220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>energy</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.587650</td>\n",
              "      <td>0.168273</td>\n",
              "      <td>0.15700</td>\n",
              "      <td>0.477750</td>\n",
              "      <td>0.6090</td>\n",
              "      <td>0.707750</td>\n",
              "      <td>0.883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>key</th>\n",
              "      <td>100.0</td>\n",
              "      <td>5.050000</td>\n",
              "      <td>3.825420</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.0000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>11.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>loudness</th>\n",
              "      <td>100.0</td>\n",
              "      <td>-6.577120</td>\n",
              "      <td>2.447338</td>\n",
              "      <td>-14.06700</td>\n",
              "      <td>-7.676250</td>\n",
              "      <td>-6.2625</td>\n",
              "      <td>-4.786750</td>\n",
              "      <td>-2.724</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mode</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.560000</td>\n",
              "      <td>0.498888</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>speechiness</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.075461</td>\n",
              "      <td>0.068065</td>\n",
              "      <td>0.02530</td>\n",
              "      <td>0.036100</td>\n",
              "      <td>0.0518</td>\n",
              "      <td>0.080650</td>\n",
              "      <td>0.368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>acousticness</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.314539</td>\n",
              "      <td>0.281076</td>\n",
              "      <td>0.00028</td>\n",
              "      <td>0.090750</td>\n",
              "      <td>0.2385</td>\n",
              "      <td>0.519750</td>\n",
              "      <td>0.941</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>instrumentalness</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.070682</td>\n",
              "      <td>0.221947</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.000083</td>\n",
              "      <td>0.941</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>liveness</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.161737</td>\n",
              "      <td>0.112657</td>\n",
              "      <td>0.03410</td>\n",
              "      <td>0.088375</td>\n",
              "      <td>0.1200</td>\n",
              "      <td>0.205250</td>\n",
              "      <td>0.509</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>valence</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.517354</td>\n",
              "      <td>0.237512</td>\n",
              "      <td>0.05920</td>\n",
              "      <td>0.329000</td>\n",
              "      <td>0.5420</td>\n",
              "      <td>0.711500</td>\n",
              "      <td>0.967</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tempo</th>\n",
              "      <td>100.0</td>\n",
              "      <td>121.548260</td>\n",
              "      <td>29.148613</td>\n",
              "      <td>71.88400</td>\n",
              "      <td>97.476250</td>\n",
              "      <td>117.0375</td>\n",
              "      <td>141.733750</td>\n",
              "      <td>180.917</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>danceability</th>\n",
              "      <td>100.0</td>\n",
              "      <td>0.647900</td>\n",
              "      <td>0.126942</td>\n",
              "      <td>0.35200</td>\n",
              "      <td>0.566750</td>\n",
              "      <td>0.6635</td>\n",
              "      <td>0.734000</td>\n",
              "      <td>0.910</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-36e2f245-d06a-48c3-9c46-5520c7095c40')\"\n",
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              "  </svg>\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "  </style>\n",
              "\n",
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              "        document.querySelector('#df-36e2f245-d06a-48c3-9c46-5520c7095c40 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-36e2f245-d06a-48c3-9c46-5520c7095c40');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const charts = await google.colab.kernel.invokeFunction(\n",
              "          'suggestCharts', [key], {});\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-07e4f396-89d1-4925-bd72-35b976189102 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,6))\n",
        "sns.heatmap(songs.corr(), annot=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 634
        },
        "id": "syE1T49JK8pw",
        "outputId": "2f518fbf-7416-441a-9709-6a07abd3a3d5"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Method 1 : with Eucledian distance"
      ],
      "metadata": {
        "id": "-iTH6YBSCxNg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "song_features = songs.iloc[:,1:]\n",
        "#scale\n",
        "song_features_scaled =  StandardScaler().fit_transform(song_features)\n",
        "\n",
        "def n_nearest_row(dataframe,input_row,n=5):\n",
        "    print(\"Input song:\\n\",pd.DataFrame(songs.iloc[input_row,:]).T)\n",
        "\n",
        "    distances = pdist(dataframe.values, metric='euclidean')\n",
        "    dist_matrix = squareform(distances)\n",
        "    distances_from_input_row = pd.DataFrame(dist_matrix)[input_row].sort_values()\n",
        "\n",
        "    distances_from_input_row = distances_from_input_row[1:n+1].sort_index()\n",
        "    nearest_rows = songs_data[songs.index.isin(distances_from_input_row.index)]\n",
        "\n",
        "    output_df = pd.concat((nearest_rows,distances_from_input_row),axis=1)\n",
        "\n",
        "    columns = list(songs_data.columns)\n",
        "    columns.append(\"distance\")\n",
        "    output_df.columns=columns\n",
        "\n",
        "    return output_df\n",
        "\n",
        "nearest_5_row = n_nearest_row(song_features,96) # we will examine the first index\n",
        "print(\"\\n\\nNearest songs: \")\n",
        "nearest_5_row"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        },
        "id": "aZtptP9zCsiA",
        "outputId": "47388c9a-9fd3-4591-825e-f78c0ab5923f"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Input song:\n",
            "     duration  energy   key  loudness  mode  speechiness  acousticness  \\\n",
            "96      3.37   0.748  11.0    -5.922   0.0       0.0589         0.305   \n",
            "\n",
            "    instrumentalness  liveness  valence    tempo  danceability  \n",
            "96               0.0    0.0811    0.964  163.984         0.672  \n",
            "\n",
            "\n",
            "Nearest songs: \n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            name  duration  energy  key  \\\n",
              "0                        Good 4 U Olivia Rodrigo      2.97   0.664    9   \n",
              "1             Stay The Kid LAROI & Justin Bieber      2.30   0.506    8   \n",
              "47  Cover Me In Sunshine P!nk & Willow Sage Hart      2.37   0.488    5   \n",
              "58                Stressed Out twenty one pilots      3.37   0.637    4   \n",
              "80        rockstar (feat. 21 Savage) Post Malone      3.64   0.520    5   \n",
              "\n",
              "    loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
              "0     -5.044     1       0.1540        0.3350          0.000000    0.0849   \n",
              "1    -11.275     1       0.0589        0.3790          0.868000    0.1100   \n",
              "47   -11.276     1       0.0568        0.0142          0.900000    0.1560   \n",
              "58    -5.677     0       0.1410        0.0462          0.000023    0.0602   \n",
              "80    -6.136     0       0.0712        0.1240          0.000070    0.1310   \n",
              "\n",
              "    valence    tempo  danceability  distance  \n",
              "0     0.688  166.928         0.563  3.813541  \n",
              "1     0.454  170.054         0.564  8.751547  \n",
              "47    0.107  160.013         0.543  9.118828  \n",
              "58    0.648  169.977         0.734  9.228556  \n",
              "80    0.129  159.801         0.585  7.371259  "
            ],
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              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>duration</th>\n",
              "      <th>energy</th>\n",
              "      <th>key</th>\n",
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              "      <th>distance</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Good 4 U Olivia Rodrigo</td>\n",
              "      <td>2.97</td>\n",
              "      <td>0.664</td>\n",
              "      <td>9</td>\n",
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              "      <th>1</th>\n",
              "      <td>Stay The Kid LAROI &amp; Justin Bieber</td>\n",
              "      <td>2.30</td>\n",
              "      <td>0.506</td>\n",
              "      <td>8</td>\n",
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              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Cover Me In Sunshine P!nk &amp; Willow Sage Hart</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0.488</td>\n",
              "      <td>5</td>\n",
              "      <td>-11.276</td>\n",
              "      <td>1</td>\n",
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              "      <td>0.107</td>\n",
              "      <td>160.013</td>\n",
              "      <td>0.543</td>\n",
              "      <td>9.118828</td>\n",
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              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>Stressed Out twenty one pilots</td>\n",
              "      <td>3.37</td>\n",
              "      <td>0.637</td>\n",
              "      <td>4</td>\n",
              "      <td>-5.677</td>\n",
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              "      <td>0.000023</td>\n",
              "      <td>0.0602</td>\n",
              "      <td>0.648</td>\n",
              "      <td>169.977</td>\n",
              "      <td>0.734</td>\n",
              "      <td>9.228556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>rockstar (feat. 21 Savage) Post Malone</td>\n",
              "      <td>3.64</td>\n",
              "      <td>0.520</td>\n",
              "      <td>5</td>\n",
              "      <td>-6.136</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0712</td>\n",
              "      <td>0.1240</td>\n",
              "      <td>0.000070</td>\n",
              "      <td>0.1310</td>\n",
              "      <td>0.129</td>\n",
              "      <td>159.801</td>\n",
              "      <td>0.585</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Method 2 : with K-nearest"
      ],
      "metadata": {
        "id": "ILMUG6EGEOLX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.cluster import KMeans\n",
        "from yellowbrick.cluster import KElbowVisualizer\n",
        "# when (k=1,50)\n",
        "kmeans = KMeans()\n",
        "visualizer = KElbowVisualizer(kmeans, k=(1,50))\n",
        "\n",
        "visualizer.fit(song_features)\n",
        "visualizer.poof();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "SQQvKlVlD2r3",
        "outputId": "3b52b01c-0185-400b-bacd-91450b27e2c0"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x550 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "after fitting the visualizer to our features, we are able to determine the optimal value of k to 4."
      ],
      "metadata": {
        "id": "ERjX21OPEzwv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans(n_clusters=4)\n",
        "kmeans.fit(song_features)\n",
        "song_data_groups = pd.concat((songs_data, pd.DataFrame(kmeans.labels_,columns=['Group'])), axis=1)\n",
        "song_data_groups.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 556
        },
        "id": "g63jFqwBEzEX",
        "outputId": "e575f8bf-684c-429e-c9e5-86089deb07b4"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                name  duration  energy  key  \\\n",
              "0                            Good 4 U Olivia Rodrigo      2.97   0.664    9   \n",
              "1                 Stay The Kid LAROI & Justin Bieber      2.30   0.506    8   \n",
              "2                   Levitating Dua Lipa feat. DaBaby      3.38   0.825    6   \n",
              "3  Peaches Justin Bieber feat. Daniel Caesar & Gi...      3.30   0.696    0   \n",
              "4           Montero (Call Me By Your Name) Lil Nas X      2.30   0.503    8   \n",
              "\n",
              "   loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
              "0    -5.044     1       0.1540       0.33500             0.000    0.0849   \n",
              "1   -11.275     1       0.0589       0.37900             0.868    0.1100   \n",
              "2    -3.787     0       0.0601       0.00883             0.000    0.0674   \n",
              "3    -6.181     1       0.1190       0.32100             0.000    0.4200   \n",
              "4    -6.725     0       0.2200       0.29300             0.000    0.4050   \n",
              "\n",
              "   valence    tempo  danceability  Group  \n",
              "0    0.688  166.928         0.563      2  \n",
              "1    0.454  170.054         0.564      2  \n",
              "2    0.915  102.977         0.702      1  \n",
              "3    0.464   90.030         0.677      1  \n",
              "4    0.710  178.781         0.593      2  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bdbe600f-c78f-4e47-aa8e-d5fbba9aad08\" class=\"colab-df-container\">\n",
              "    <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>name</th>\n",
              "      <th>duration</th>\n",
              "      <th>energy</th>\n",
              "      <th>key</th>\n",
              "      <th>loudness</th>\n",
              "      <th>mode</th>\n",
              "      <th>speechiness</th>\n",
              "      <th>acousticness</th>\n",
              "      <th>instrumentalness</th>\n",
              "      <th>liveness</th>\n",
              "      <th>valence</th>\n",
              "      <th>tempo</th>\n",
              "      <th>danceability</th>\n",
              "      <th>Group</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Good 4 U Olivia Rodrigo</td>\n",
              "      <td>2.97</td>\n",
              "      <td>0.664</td>\n",
              "      <td>9</td>\n",
              "      <td>-5.044</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1540</td>\n",
              "      <td>0.33500</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0849</td>\n",
              "      <td>0.688</td>\n",
              "      <td>166.928</td>\n",
              "      <td>0.563</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Stay The Kid LAROI &amp; Justin Bieber</td>\n",
              "      <td>2.30</td>\n",
              "      <td>0.506</td>\n",
              "      <td>8</td>\n",
              "      <td>-11.275</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0589</td>\n",
              "      <td>0.37900</td>\n",
              "      <td>0.868</td>\n",
              "      <td>0.1100</td>\n",
              "      <td>0.454</td>\n",
              "      <td>170.054</td>\n",
              "      <td>0.564</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Levitating Dua Lipa feat. DaBaby</td>\n",
              "      <td>3.38</td>\n",
              "      <td>0.825</td>\n",
              "      <td>6</td>\n",
              "      <td>-3.787</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0601</td>\n",
              "      <td>0.00883</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0674</td>\n",
              "      <td>0.915</td>\n",
              "      <td>102.977</td>\n",
              "      <td>0.702</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Peaches Justin Bieber feat. Daniel Caesar &amp; Gi...</td>\n",
              "      <td>3.30</td>\n",
              "      <td>0.696</td>\n",
              "      <td>0</td>\n",
              "      <td>-6.181</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1190</td>\n",
              "      <td>0.32100</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.4200</td>\n",
              "      <td>0.464</td>\n",
              "      <td>90.030</td>\n",
              "      <td>0.677</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Montero (Call Me By Your Name) Lil Nas X</td>\n",
              "      <td>2.30</td>\n",
              "      <td>0.503</td>\n",
              "      <td>8</td>\n",
              "      <td>-6.725</td>\n",
              "      <td>0</td>\n",
              "      <td>0.2200</td>\n",
              "      <td>0.29300</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.4050</td>\n",
              "      <td>0.710</td>\n",
              "      <td>178.781</td>\n",
              "      <td>0.593</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "group2 = song_data_groups[song_data_groups['Group']==2]\n",
        "group2"
      ],
      "metadata": {
        "colab": {
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          "height": 1000
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        "id": "meYcJizaEe2b",
        "outputId": "4a54c866-b2b4-4a78-dc22-a460d7bdba61"
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      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            name  duration  energy  key  \\\n",
              "0                        Good 4 U Olivia Rodrigo      2.97   0.664    9   \n",
              "1             Stay The Kid LAROI & Justin Bieber      2.30   0.506    8   \n",
              "4       Montero (Call Me By Your Name) Lil Nas X      2.30   0.503    8   \n",
              "8                     Blinding Lights The Weeknd      3.33   0.730    1   \n",
              "9                         Deja Vu Olivia Rodrigo      3.59   0.612    2   \n",
              "21        Mood Swings (feat. Lil Tjay) Pop Smoke      3.56   0.602   10   \n",
              "28               LA CANCIÓN J Balvin & Bad Bunny      4.04   0.646    7   \n",
              "31             Blinding Lights - 2019 The Weeknd      3.31   0.517    5   \n",
              "39                            Yonaguni Bad Bunny      3.45   0.648    1   \n",
              "47  Cover Me In Sunshine P!nk & Willow Sage Hart      2.37   0.488    5   \n",
              "58                Stressed Out twenty one pilots      3.37   0.637    4   \n",
              "80        rockstar (feat. 21 Savage) Post Malone      3.64   0.520    5   \n",
              "93                            Yonaguni Bad Bunny      3.45   0.648    1   \n",
              "96               Dance With Me Tonight Olly Murs      3.37   0.748   11   \n",
              "99      Montero (Call Me By Your Name) Lil Nas X      2.30   0.503    8   \n",
              "\n",
              "    loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
              "0     -5.044     1       0.1540       0.33500          0.000000    0.0849   \n",
              "1    -11.275     1       0.0589       0.37900          0.868000    0.1100   \n",
              "4     -6.725     0       0.2200       0.29300          0.000000    0.4050   \n",
              "8     -5.934     1       0.0598       0.00146          0.000095    0.0897   \n",
              "9     -7.222     1       0.1120       0.58400          0.000006    0.3700   \n",
              "21    -6.335     0       0.3680       0.48700          0.000000    0.0848   \n",
              "28    -5.795     1       0.3190       0.15200          0.000018    0.1080   \n",
              "31   -11.580     0       0.0405       0.00150          0.000023    0.1180   \n",
              "39    -4.601     1       0.1180       0.27600          0.000000    0.1350   \n",
              "47   -11.276     1       0.0568       0.01420          0.900000    0.1560   \n",
              "58    -5.677     0       0.1410       0.04620          0.000023    0.0602   \n",
              "80    -6.136     0       0.0712       0.12400          0.000070    0.1310   \n",
              "93    -4.601     1       0.1180       0.27600          0.000000    0.1350   \n",
              "96    -5.922     0       0.0589       0.30500          0.000000    0.0811   \n",
              "99    -6.725     0       0.2200       0.29300          0.000000    0.4050   \n",
              "\n",
              "    valence    tempo  danceability  Group  \n",
              "0     0.688  166.928         0.563      2  \n",
              "1     0.454  170.054         0.564      2  \n",
              "4     0.710  178.781         0.593      2  \n",
              "8     0.334  171.005         0.514      2  \n",
              "9     0.178  180.917         0.442      2  \n",
              "21    0.269  179.798         0.480      2  \n",
              "28    0.429  176.088         0.756      2  \n",
              "31    0.438  171.012         0.609      2  \n",
              "39    0.440  179.951         0.644      2  \n",
              "47    0.107  160.013         0.543      2  \n",
              "58    0.648  169.977         0.734      2  \n",
              "80    0.129  159.801         0.585      2  \n",
              "93    0.440  179.951         0.644      2  \n",
              "96    0.964  163.984         0.672      2  \n",
              "99    0.710  178.781         0.593      2  "
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>duration</th>\n",
              "      <th>energy</th>\n",
              "      <th>key</th>\n",
              "      <th>loudness</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Good 4 U Olivia Rodrigo</td>\n",
              "      <td>2.97</td>\n",
              "      <td>0.664</td>\n",
              "      <td>9</td>\n",
              "      <td>-5.044</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.0849</td>\n",
              "      <td>0.688</td>\n",
              "      <td>166.928</td>\n",
              "      <td>0.563</td>\n",
              "      <td>2</td>\n",
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              "      <th>1</th>\n",
              "      <td>Stay The Kid LAROI &amp; Justin Bieber</td>\n",
              "      <td>2.30</td>\n",
              "      <td>0.506</td>\n",
              "      <td>8</td>\n",
              "      <td>-11.275</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0589</td>\n",
              "      <td>0.37900</td>\n",
              "      <td>0.868000</td>\n",
              "      <td>0.1100</td>\n",
              "      <td>0.454</td>\n",
              "      <td>170.054</td>\n",
              "      <td>0.564</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Montero (Call Me By Your Name) Lil Nas X</td>\n",
              "      <td>2.30</td>\n",
              "      <td>0.503</td>\n",
              "      <td>8</td>\n",
              "      <td>-6.725</td>\n",
              "      <td>0</td>\n",
              "      <td>0.2200</td>\n",
              "      <td>0.29300</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.4050</td>\n",
              "      <td>0.710</td>\n",
              "      <td>178.781</td>\n",
              "      <td>0.593</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Blinding Lights The Weeknd</td>\n",
              "      <td>3.33</td>\n",
              "      <td>0.730</td>\n",
              "      <td>1</td>\n",
              "      <td>-5.934</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0598</td>\n",
              "      <td>0.00146</td>\n",
              "      <td>0.000095</td>\n",
              "      <td>0.0897</td>\n",
              "      <td>0.334</td>\n",
              "      <td>171.005</td>\n",
              "      <td>0.514</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Deja Vu Olivia Rodrigo</td>\n",
              "      <td>3.59</td>\n",
              "      <td>0.612</td>\n",
              "      <td>2</td>\n",
              "      <td>-7.222</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1120</td>\n",
              "      <td>0.58400</td>\n",
              "      <td>0.000006</td>\n",
              "      <td>0.3700</td>\n",
              "      <td>0.178</td>\n",
              "      <td>180.917</td>\n",
              "      <td>0.442</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Mood Swings (feat. Lil Tjay) Pop Smoke</td>\n",
              "      <td>3.56</td>\n",
              "      <td>0.602</td>\n",
              "      <td>10</td>\n",
              "      <td>-6.335</td>\n",
              "      <td>0</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.48700</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>0.269</td>\n",
              "      <td>179.798</td>\n",
              "      <td>0.480</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>LA CANCIÓN J Balvin &amp; Bad Bunny</td>\n",
              "      <td>4.04</td>\n",
              "      <td>0.646</td>\n",
              "      <td>7</td>\n",
              "      <td>-5.795</td>\n",
              "      <td>1</td>\n",
              "      <td>0.3190</td>\n",
              "      <td>0.15200</td>\n",
              "      <td>0.000018</td>\n",
              "      <td>0.1080</td>\n",
              "      <td>0.429</td>\n",
              "      <td>176.088</td>\n",
              "      <td>0.756</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>Blinding Lights - 2019 The Weeknd</td>\n",
              "      <td>3.31</td>\n",
              "      <td>0.517</td>\n",
              "      <td>5</td>\n",
              "      <td>-11.580</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0405</td>\n",
              "      <td>0.00150</td>\n",
              "      <td>0.000023</td>\n",
              "      <td>0.1180</td>\n",
              "      <td>0.438</td>\n",
              "      <td>171.012</td>\n",
              "      <td>0.609</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>Yonaguni Bad Bunny</td>\n",
              "      <td>3.45</td>\n",
              "      <td>0.648</td>\n",
              "      <td>1</td>\n",
              "      <td>-4.601</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1180</td>\n",
              "      <td>0.27600</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.1350</td>\n",
              "      <td>0.440</td>\n",
              "      <td>179.951</td>\n",
              "      <td>0.644</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Cover Me In Sunshine P!nk &amp; Willow Sage Hart</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0.488</td>\n",
              "      <td>5</td>\n",
              "      <td>-11.276</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0568</td>\n",
              "      <td>0.01420</td>\n",
              "      <td>0.900000</td>\n",
              "      <td>0.1560</td>\n",
              "      <td>0.107</td>\n",
              "      <td>160.013</td>\n",
              "      <td>0.543</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>Stressed Out twenty one pilots</td>\n",
              "      <td>3.37</td>\n",
              "      <td>0.637</td>\n",
              "      <td>4</td>\n",
              "      <td>-5.677</td>\n",
              "      <td>0</td>\n",
              "      <td>0.1410</td>\n",
              "      <td>0.04620</td>\n",
              "      <td>0.000023</td>\n",
              "      <td>0.0602</td>\n",
              "      <td>0.648</td>\n",
              "      <td>169.977</td>\n",
              "      <td>0.734</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>rockstar (feat. 21 Savage) Post Malone</td>\n",
              "      <td>3.64</td>\n",
              "      <td>0.520</td>\n",
              "      <td>5</td>\n",
              "      <td>-6.136</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0712</td>\n",
              "      <td>0.12400</td>\n",
              "      <td>0.000070</td>\n",
              "      <td>0.1310</td>\n",
              "      <td>0.129</td>\n",
              "      <td>159.801</td>\n",
              "      <td>0.585</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>Yonaguni Bad Bunny</td>\n",
              "      <td>3.45</td>\n",
              "      <td>0.648</td>\n",
              "      <td>1</td>\n",
              "      <td>-4.601</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1180</td>\n",
              "      <td>0.27600</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.440</td>\n",
              "      <td>179.951</td>\n",
              "      <td>0.644</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>Dance With Me Tonight Olly Murs</td>\n",
              "      <td>3.37</td>\n",
              "      <td>0.748</td>\n",
              "      <td>11</td>\n",
              "      <td>-5.922</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0589</td>\n",
              "      <td>0.30500</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0811</td>\n",
              "      <td>0.964</td>\n",
              "      <td>163.984</td>\n",
              "      <td>0.672</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>Montero (Call Me By Your Name) Lil Nas X</td>\n",
              "      <td>2.30</td>\n",
              "      <td>0.503</td>\n",
              "      <td>8</td>\n",
              "      <td>-6.725</td>\n",
              "      <td>0</td>\n",
              "      <td>0.2200</td>\n",
              "      <td>0.29300</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.4050</td>\n",
              "      <td>0.710</td>\n",
              "      <td>178.781</td>\n",
              "      <td>0.593</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e7b2b74e-3af8-467e-a244-a62925067d14')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e7b2b74e-3af8-467e-a244-a62925067d14 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e7b2b74e-3af8-467e-a244-a62925067d14');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-f528b13d-8501-4c88-9a93-9a6e85497390\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f528b13d-8501-4c88-9a93-9a6e85497390')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const charts = await google.colab.kernel.invokeFunction(\n",
              "          'suggestCharts', [key], {});\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f528b13d-8501-4c88-9a93-9a6e85497390 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ***or***"
      ],
      "metadata": {
        "id": "KaY-zQi1Heyx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.cluster import KMeans\n",
        "from yellowbrick.cluster import KElbowVisualizer\n",
        "# when (k=2,50)\n",
        "kmeans = KMeans()\n",
        "visualizer = KElbowVisualizer(kmeans, k=(2,50))\n",
        "\n",
        "visualizer.fit(song_features)\n",
        "visualizer.poof();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "UI7ITZOaGASP",
        "outputId": "41e2f108-49a1-4094-9ca6-9075843157a5"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x550 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "after fitting the visualizer to our features, we are able to determine the optimal value of k to 8"
      ],
      "metadata": {
        "id": "b8tmIGroHqUl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans(n_clusters=8)\n",
        "kmeans.fit(song_features)\n",
        "song_data_groups_1 = pd.concat((songs_data, pd.DataFrame(kmeans.labels_,columns=['Group'])), axis=1)\n",
        "song_data_groups_1.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 556
        },
        "id": "qQsQGswlHqkc",
        "outputId": "032e6c12-af1f-4158-bc88-c0a40850c424"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                name  duration  energy  key  \\\n",
              "0                            Good 4 U Olivia Rodrigo      2.97   0.664    9   \n",
              "1                 Stay The Kid LAROI & Justin Bieber      2.30   0.506    8   \n",
              "2                   Levitating Dua Lipa feat. DaBaby      3.38   0.825    6   \n",
              "3  Peaches Justin Bieber feat. Daniel Caesar & Gi...      3.30   0.696    0   \n",
              "4           Montero (Call Me By Your Name) Lil Nas X      2.30   0.503    8   \n",
              "\n",
              "   loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
              "0    -5.044     1       0.1540       0.33500             0.000    0.0849   \n",
              "1   -11.275     1       0.0589       0.37900             0.868    0.1100   \n",
              "2    -3.787     0       0.0601       0.00883             0.000    0.0674   \n",
              "3    -6.181     1       0.1190       0.32100             0.000    0.4200   \n",
              "4    -6.725     0       0.2200       0.29300             0.000    0.4050   \n",
              "\n",
              "   valence    tempo  danceability  Group  \n",
              "0    0.688  166.928         0.563      0  \n",
              "1    0.454  170.054         0.564      4  \n",
              "2    0.915  102.977         0.702      1  \n",
              "3    0.464   90.030         0.677      7  \n",
              "4    0.710  178.781         0.593      4  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6b42f0cb-4aaf-4a4e-a281-e1fa06cf01ee\" class=\"colab-df-container\">\n",
              "    <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>name</th>\n",
              "      <th>duration</th>\n",
              "      <th>energy</th>\n",
              "      <th>key</th>\n",
              "      <th>loudness</th>\n",
              "      <th>mode</th>\n",
              "      <th>speechiness</th>\n",
              "      <th>acousticness</th>\n",
              "      <th>instrumentalness</th>\n",
              "      <th>liveness</th>\n",
              "      <th>valence</th>\n",
              "      <th>tempo</th>\n",
              "      <th>danceability</th>\n",
              "      <th>Group</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Good 4 U Olivia Rodrigo</td>\n",
              "      <td>2.97</td>\n",
              "      <td>0.664</td>\n",
              "      <td>9</td>\n",
              "      <td>-5.044</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1540</td>\n",
              "      <td>0.33500</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0849</td>\n",
              "      <td>0.688</td>\n",
              "      <td>166.928</td>\n",
              "      <td>0.563</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Stay The Kid LAROI &amp; Justin Bieber</td>\n",
              "      <td>2.30</td>\n",
              "      <td>0.506</td>\n",
              "      <td>8</td>\n",
              "      <td>-11.275</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0589</td>\n",
              "      <td>0.37900</td>\n",
              "      <td>0.868</td>\n",
              "      <td>0.1100</td>\n",
              "      <td>0.454</td>\n",
              "      <td>170.054</td>\n",
              "      <td>0.564</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Levitating Dua Lipa feat. DaBaby</td>\n",
              "      <td>3.38</td>\n",
              "      <td>0.825</td>\n",
              "      <td>6</td>\n",
              "      <td>-3.787</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0601</td>\n",
              "      <td>0.00883</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0674</td>\n",
              "      <td>0.915</td>\n",
              "      <td>102.977</td>\n",
              "      <td>0.702</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Peaches Justin Bieber feat. Daniel Caesar &amp; Gi...</td>\n",
              "      <td>3.30</td>\n",
              "      <td>0.696</td>\n",
              "      <td>0</td>\n",
              "      <td>-6.181</td>\n",
              "      <td>1</td>\n",
              "      <td>0.1190</td>\n",
              "      <td>0.32100</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.4200</td>\n",
              "      <td>0.464</td>\n",
              "      <td>90.030</td>\n",
              "      <td>0.677</td>\n",
              "      <td>7</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Montero (Call Me By Your Name) Lil Nas X</td>\n",
              "      <td>2.30</td>\n",
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              "      <td>-6.725</td>\n",
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              "      <td>0.4050</td>\n",
              "      <td>0.710</td>\n",
              "      <td>178.781</td>\n",
              "      <td>0.593</td>\n",
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          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "group6 = song_data_groups_1[song_data_groups_1['Group']==6]\n",
        "group6\n"
      ],
      "metadata": {
        "colab": {
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        "id": "hfSfZq9uITGj",
        "outputId": "3e60ba89-f124-4198-9b09-65e9b18a5cca"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                               name  duration  energy  key  \\\n",
              "5                 Kiss Me More (feat. SZA) Doja Cat      3.48   0.705    8   \n",
              "10                              The Business Tiësto      2.73   0.620    8   \n",
              "25           Me Gusta Anitta, Cardi B & Myke Towers      3.01   0.604    6   \n",
              "29                  Someone You Loved Lewis Capaldi      3.04   0.405    1   \n",
              "34                         Don't Start Now Dua Lipa      4.45   0.588    4   \n",
              "43                             Falling Harry Styles      4.00   0.267    4   \n",
              "48                       Save Your Tears The Weeknd      3.59   0.816    0   \n",
              "52                            All of Me John Legend      4.49   0.264    8   \n",
              "56                   DÁKITI Bad Bunny & Jhay Cortez      3.22   0.186    4   \n",
              "64       Uptown Funk (feat. Bruno Mars) Mark Ronson      4.49   0.609    0   \n",
              "65           Señorita Shawn Mendes & Camila Cabello      3.18   0.540    9   \n",
              "66                      Before You Go Lewis Capaldi      3.59   0.575    3   \n",
              "74                              Circles Post Malone      3.59   0.762    0   \n",
              "81                     Don't Stop Believin' Journey      4.27   0.157    5   \n",
              "84                Kiss Me More (feat. SZA) Doja Cat      3.48   0.705    8   \n",
              "85                         Don't Start Now Dua Lipa      4.45   0.588    4   \n",
              "94  Levitating - The Blessed Madonna Remix Dua Lipa      4.06   0.457   11   \n",
              "\n",
              "    loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
              "5     -3.463     1       0.0284       0.25900          0.000089    0.1200   \n",
              "10    -7.079     0       0.2320       0.41400          0.019200    0.1120   \n",
              "25    -4.392     0       0.0820       0.44800          0.000000    0.0863   \n",
              "29    -5.679     1       0.0319       0.75100          0.000000    0.1050   \n",
              "34   -12.406     0       0.0569       0.00168          0.008140    0.0809   \n",
              "43    -6.502     1       0.0299       0.83900          0.000001    0.0890   \n",
              "48    -5.496     1       0.0308       0.02160          0.000021    0.4390   \n",
              "52    -7.064     1       0.0322       0.92200          0.000000    0.1320   \n",
              "56    -6.421     0       0.0352       0.00462          0.403000    0.1540   \n",
              "64    -7.223     1       0.0824       0.00801          0.000082    0.0344   \n",
              "65    -6.039     0       0.0287       0.03700          0.000000    0.0945   \n",
              "66    -4.858     1       0.0573       0.60400          0.000000    0.0885   \n",
              "74    -3.497     1       0.0395       0.19200          0.002440    0.0863   \n",
              "81   -12.938     1       0.0436       0.58100          0.393000    0.1090   \n",
              "84    -3.463     1       0.0284       0.25900          0.000089    0.1200   \n",
              "85   -12.406     0       0.0569       0.00168          0.008140    0.0809   \n",
              "94   -11.026     1       0.0767       0.09190          0.850000    0.0789   \n",
              "\n",
              "    valence    tempo  danceability  Group  \n",
              "5    0.7810  110.970         0.764      6  \n",
              "10   0.2350  120.031         0.798      6  \n",
              "25   0.8070  110.075         0.910      6  \n",
              "29   0.4460  109.891         0.501      6  \n",
              "34   0.6730  114.988         0.726      6  \n",
              "43   0.0592  110.011         0.567      6  \n",
              "48   0.6190  118.065         0.685      6  \n",
              "52   0.3310  119.930         0.422      6  \n",
              "56   0.2110  109.201         0.373      6  \n",
              "64   0.9280  114.988         0.856      6  \n",
              "65   0.7500  116.947         0.759      6  \n",
              "66   0.1830  111.881         0.459      6  \n",
              "74   0.5530  120.042         0.695      6  \n",
              "81   0.6660  117.128         0.663      6  \n",
              "84   0.7810  110.970         0.764      6  \n",
              "85   0.6730  114.988         0.726      6  \n",
              "94   0.5660  116.001         0.736      6  "
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              "      <th>name</th>\n",
              "      <th>duration</th>\n",
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              "      <th>key</th>\n",
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              "      <th>speechiness</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Kiss Me More (feat. SZA) Doja Cat</td>\n",
              "      <td>3.48</td>\n",
              "      <td>0.705</td>\n",
              "      <td>8</td>\n",
              "      <td>-3.463</td>\n",
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              "      <td>0.25900</td>\n",
              "      <td>0.000089</td>\n",
              "      <td>0.1200</td>\n",
              "      <td>0.7810</td>\n",
              "      <td>110.970</td>\n",
              "      <td>0.764</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>The Business Tiësto</td>\n",
              "      <td>2.73</td>\n",
              "      <td>0.620</td>\n",
              "      <td>8</td>\n",
              "      <td>-7.079</td>\n",
              "      <td>0</td>\n",
              "      <td>0.2320</td>\n",
              "      <td>0.41400</td>\n",
              "      <td>0.019200</td>\n",
              "      <td>0.1120</td>\n",
              "      <td>0.2350</td>\n",
              "      <td>120.031</td>\n",
              "      <td>0.798</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Me Gusta Anitta, Cardi B &amp; Myke Towers</td>\n",
              "      <td>3.01</td>\n",
              "      <td>0.604</td>\n",
              "      <td>6</td>\n",
              "      <td>-4.392</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0820</td>\n",
              "      <td>0.44800</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0863</td>\n",
              "      <td>0.8070</td>\n",
              "      <td>110.075</td>\n",
              "      <td>0.910</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Someone You Loved Lewis Capaldi</td>\n",
              "      <td>3.04</td>\n",
              "      <td>0.405</td>\n",
              "      <td>1</td>\n",
              "      <td>-5.679</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.75100</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.1050</td>\n",
              "      <td>0.4460</td>\n",
              "      <td>109.891</td>\n",
              "      <td>0.501</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>Don't Start Now Dua Lipa</td>\n",
              "      <td>4.45</td>\n",
              "      <td>0.588</td>\n",
              "      <td>4</td>\n",
              "      <td>-12.406</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0569</td>\n",
              "      <td>0.00168</td>\n",
              "      <td>0.008140</td>\n",
              "      <td>0.0809</td>\n",
              "      <td>0.6730</td>\n",
              "      <td>114.988</td>\n",
              "      <td>0.726</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>Falling Harry Styles</td>\n",
              "      <td>4.00</td>\n",
              "      <td>0.267</td>\n",
              "      <td>4</td>\n",
              "      <td>-6.502</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0299</td>\n",
              "      <td>0.83900</td>\n",
              "      <td>0.000001</td>\n",
              "      <td>0.0890</td>\n",
              "      <td>0.0592</td>\n",
              "      <td>110.011</td>\n",
              "      <td>0.567</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>Save Your Tears The Weeknd</td>\n",
              "      <td>3.59</td>\n",
              "      <td>0.816</td>\n",
              "      <td>0</td>\n",
              "      <td>-5.496</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0308</td>\n",
              "      <td>0.02160</td>\n",
              "      <td>0.000021</td>\n",
              "      <td>0.4390</td>\n",
              "      <td>0.6190</td>\n",
              "      <td>118.065</td>\n",
              "      <td>0.685</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>All of Me John Legend</td>\n",
              "      <td>4.49</td>\n",
              "      <td>0.264</td>\n",
              "      <td>8</td>\n",
              "      <td>-7.064</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0322</td>\n",
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              "      <td>0.1320</td>\n",
              "      <td>0.3310</td>\n",
              "      <td>119.930</td>\n",
              "      <td>0.422</td>\n",
              "      <td>6</td>\n",
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              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>DÁKITI Bad Bunny &amp; Jhay Cortez</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.186</td>\n",
              "      <td>4</td>\n",
              "      <td>-6.421</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0352</td>\n",
              "      <td>0.00462</td>\n",
              "      <td>0.403000</td>\n",
              "      <td>0.1540</td>\n",
              "      <td>0.2110</td>\n",
              "      <td>109.201</td>\n",
              "      <td>0.373</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>Uptown Funk (feat. Bruno Mars) Mark Ronson</td>\n",
              "      <td>4.49</td>\n",
              "      <td>0.609</td>\n",
              "      <td>0</td>\n",
              "      <td>-7.223</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0824</td>\n",
              "      <td>0.00801</td>\n",
              "      <td>0.000082</td>\n",
              "      <td>0.0344</td>\n",
              "      <td>0.9280</td>\n",
              "      <td>114.988</td>\n",
              "      <td>0.856</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>Señorita Shawn Mendes &amp; Camila Cabello</td>\n",
              "      <td>3.18</td>\n",
              "      <td>0.540</td>\n",
              "      <td>9</td>\n",
              "      <td>-6.039</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0287</td>\n",
              "      <td>0.03700</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0945</td>\n",
              "      <td>0.7500</td>\n",
              "      <td>116.947</td>\n",
              "      <td>0.759</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>Before You Go Lewis Capaldi</td>\n",
              "      <td>3.59</td>\n",
              "      <td>0.575</td>\n",
              "      <td>3</td>\n",
              "      <td>-4.858</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0573</td>\n",
              "      <td>0.60400</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0885</td>\n",
              "      <td>0.1830</td>\n",
              "      <td>111.881</td>\n",
              "      <td>0.459</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>Circles Post Malone</td>\n",
              "      <td>3.59</td>\n",
              "      <td>0.762</td>\n",
              "      <td>0</td>\n",
              "      <td>-3.497</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0395</td>\n",
              "      <td>0.19200</td>\n",
              "      <td>0.002440</td>\n",
              "      <td>0.0863</td>\n",
              "      <td>0.5530</td>\n",
              "      <td>120.042</td>\n",
              "      <td>0.695</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>Don't Stop Believin' Journey</td>\n",
              "      <td>4.27</td>\n",
              "      <td>0.157</td>\n",
              "      <td>5</td>\n",
              "      <td>-12.938</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0436</td>\n",
              "      <td>0.58100</td>\n",
              "      <td>0.393000</td>\n",
              "      <td>0.1090</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>117.128</td>\n",
              "      <td>0.663</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>Kiss Me More (feat. SZA) Doja Cat</td>\n",
              "      <td>3.48</td>\n",
              "      <td>0.705</td>\n",
              "      <td>8</td>\n",
              "      <td>-3.463</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0284</td>\n",
              "      <td>0.25900</td>\n",
              "      <td>0.000089</td>\n",
              "      <td>0.1200</td>\n",
              "      <td>0.7810</td>\n",
              "      <td>110.970</td>\n",
              "      <td>0.764</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>Don't Start Now Dua Lipa</td>\n",
              "      <td>4.45</td>\n",
              "      <td>0.588</td>\n",
              "      <td>4</td>\n",
              "      <td>-12.406</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0569</td>\n",
              "      <td>0.00168</td>\n",
              "      <td>0.008140</td>\n",
              "      <td>0.0809</td>\n",
              "      <td>0.6730</td>\n",
              "      <td>114.988</td>\n",
              "      <td>0.726</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>Levitating - The Blessed Madonna Remix Dua Lipa</td>\n",
              "      <td>4.06</td>\n",
              "      <td>0.457</td>\n",
              "      <td>11</td>\n",
              "      <td>-11.026</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0767</td>\n",
              "      <td>0.09190</td>\n",
              "      <td>0.850000</td>\n",
              "      <td>0.0789</td>\n",
              "      <td>0.5660</td>\n",
              "      <td>116.001</td>\n",
              "      <td>0.736</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
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              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "  </style>\n",
              "\n",
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              "        document.querySelector('#df-1b158a0f-95de-49a9-af6d-a0a80f6076a5 button.colab-df-convert');\n",
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              "        const element = document.querySelector('#df-1b158a0f-95de-49a9-af6d-a0a80f6076a5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <g>\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
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              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const charts = await google.colab.kernel.invokeFunction(\n",
              "          'suggestCharts', [key], {});\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ea9a10a3-4696-4710-801b-f36eb848c80d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Applying PCA to our dataset"
      ],
      "metadata": {
        "id": "PMAcpLEIJJ42"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.rcParams['figure.figsize']=(12,6)\n",
        "pca = PCA().fit(song_features_scaled)\n",
        "\n",
        "plt.ylabel('cumulative variance')\n",
        "plt.title('the number of components / variance')\n",
        "plt.xlabel('number of components')\n",
        "\n",
        "x = np.arange(1, 12)\n",
        "y = np.cumsum(pca.explained_variance_ratio_)\n",
        "\n",
        "plt.xticks(x)\n",
        "plt.yticks(y)\n",
        "\n",
        "plt.plot(x, y, marker='o', linestyle='-', color='r')\n",
        "\n",
        "plt.hlines(y, 0, x, linestyle='--')\n",
        "plt.vlines(x, 0, y, linestyle='--')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "xKuAzlhvJOwm",
        "outputId": "2ecfa6e3-edb9-44b2-aee1-011b0d7862b3"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Conclusion:\n",
        "\n",
        "These are the recommendation built for the music"
      ],
      "metadata": {
        "id": "2cD0weYoJwkx"
      }
    }
  ]
}