class_practice_Sep_7.ipynb

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        "<a href=\"https://colab.research.google.com/github/zhrvdt77/DSPS_ZVahdat/blob/main/class_practice_Sep_7.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import pandas as pd\n",
        "import matplotlib.pylab as plt"
      ]
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      "source": [
        "videos=pd.read_csv('https://raw.githubusercontent.com/fedhere/FDSFE_FBianco/main/data/USyoutubes.csv')"
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        "videos.head()"
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              "  trending_date                                              title  \\\n",
              "0      17.14.11                 WE WANT TO TALK ABOUT OUR MARRIAGE   \n",
              "1      17.14.11  The Trump Presidency: Last Week Tonight with J...   \n",
              "2      17.14.11  Racist Superman | Rudy Mancuso, King Bach & Le...   \n",
              "3      17.14.11                   Nickelback Lyrics: Real or Fake?   \n",
              "4      17.14.11                           I Dare You: GOING BALD!?   \n",
              "\n",
              "           channel_title  category_id              publish_time  \\\n",
              "0           CaseyNeistat           22  2017-11-13T17:13:01.000Z   \n",
              "1        LastWeekTonight           24  2017-11-13T07:30:00.000Z   \n",
              "2           Rudy Mancuso           23  2017-11-12T19:05:24.000Z   \n",
              "3  Good Mythical Morning           24  2017-11-13T11:00:04.000Z   \n",
              "4               nigahiga           24  2017-11-12T18:01:41.000Z   \n",
              "\n",
              "                                                tags    views   likes  \\\n",
              "0                                    SHANtell martin   748374   57527   \n",
              "1  last week tonight trump presidency|\"last week ...  2418783   97185   \n",
              "2  racist superman|\"rudy\"|\"mancuso\"|\"king\"|\"bach\"...  3191434  146033   \n",
              "3  rhett and link|\"gmm\"|\"good mythical morning\"|\"...   343168   10172   \n",
              "4  ryan|\"higa\"|\"higatv\"|\"nigahiga\"|\"i dare you\"|\"...  2095731  132235   \n",
              "\n",
              "   dislikes  comment_count  \n",
              "0      2966          15954  \n",
              "1      6146          12703  \n",
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              "      <td>nigahiga</td>\n",
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              "      trending_date                                              title  \\\n",
              "40944      18.14.06                       The Cat Who Caught the Laser   \n",
              "40945      18.14.06                         True Facts : Ant Mutualism   \n",
              "40946      18.14.06  I GAVE SAFIYA NYGAARD A PERFECT HAIR MAKEOVER ...   \n",
              "40947      18.14.06                How Black Panther Should Have Ended   \n",
              "40948      18.14.06  Official Call of Duty®: Black Ops 4 — Multipla...   \n",
              "\n",
              "                  channel_title  category_id              publish_time  \\\n",
              "40944             AaronsAnimals           15  2018-05-18T13:00:04.000Z   \n",
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              "40947  How It Should Have Ended            1  2018-05-17T17:00:04.000Z   \n",
              "40948              Call of Duty           20  2018-05-17T17:09:38.000Z   \n",
              "\n",
              "                                                    tags     views   likes  \\\n",
              "40944  aarons animals|\"aarons\"|\"animals\"|\"cat\"|\"cats\"...   1685609   38160   \n",
              "40945                                             [none]   1064798   60008   \n",
              "40946  I gave safiya nygaard a perfect hair makeover ...   1066451   48068   \n",
              "40947  Black Panther|\"HISHE\"|\"Marvel\"|\"Infinity War\"|...   5660813  192957   \n",
              "40948      call of duty|\"cod\"|\"activision\"|\"Black Ops 4\"  10306119  357079   \n",
              "\n",
              "       dislikes  comment_count  \n",
              "40944      1385           2657  \n",
              "40945       382           3936  \n",
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              "      <td>18.14.06</td>\n",
              "      <td>I GAVE SAFIYA NYGAARD A PERFECT HAIR MAKEOVER ...</td>\n",
              "      <td>Brad Mondo</td>\n",
              "      <td>24</td>\n",
              "      <td>2018-05-18T17:34:22.000Z</td>\n",
              "      <td>I gave safiya nygaard a perfect hair makeover ...</td>\n",
              "      <td>1066451</td>\n",
              "      <td>48068</td>\n",
              "      <td>1032</td>\n",
              "      <td>3992</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40947</th>\n",
              "      <td>18.14.06</td>\n",
              "      <td>How Black Panther Should Have Ended</td>\n",
              "      <td>How It Should Have Ended</td>\n",
              "      <td>1</td>\n",
              "      <td>2018-05-17T17:00:04.000Z</td>\n",
              "      <td>Black Panther|\"HISHE\"|\"Marvel\"|\"Infinity War\"|...</td>\n",
              "      <td>5660813</td>\n",
              "      <td>192957</td>\n",
              "      <td>2846</td>\n",
              "      <td>13088</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40948</th>\n",
              "      <td>18.14.06</td>\n",
              "      <td>Official Call of Duty®: Black Ops 4 — Multipla...</td>\n",
              "      <td>Call of Duty</td>\n",
              "      <td>20</td>\n",
              "      <td>2018-05-17T17:09:38.000Z</td>\n",
              "      <td>call of duty|\"cod\"|\"activision\"|\"Black Ops 4\"</td>\n",
              "      <td>10306119</td>\n",
              "      <td>357079</td>\n",
              "      <td>212976</td>\n",
              "      <td>144795</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-15fbf134-14e1-4adf-9c61-72c0780df7c1')\"\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-15fbf134-14e1-4adf-9c61-72c0780df7c1 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-15fbf134-14e1-4adf-9c61-72c0780df7c1');\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-8abe5540-6902-4ced-a41b-2179384ac2cf\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8abe5540-6902-4ced-a41b-2179384ac2cf')\"\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",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8abe5540-6902-4ced-a41b-2179384ac2cf 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": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "videos.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "ynUuWD0GVxKi",
        "outputId": "56bee633-df6d-43c0-89ca-756f21ea355f"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        category_id         views         likes      dislikes  comment_count\n",
              "count  40949.000000  4.094900e+04  4.094900e+04  4.094900e+04   4.094900e+04\n",
              "mean      19.972429  2.360785e+06  7.426670e+04  3.711401e+03   8.446804e+03\n",
              "std        7.568327  7.394114e+06  2.288853e+05  2.902971e+04   3.743049e+04\n",
              "min        1.000000  5.490000e+02  0.000000e+00  0.000000e+00   0.000000e+00\n",
              "25%       17.000000  2.423290e+05  5.424000e+03  2.020000e+02   6.140000e+02\n",
              "50%       24.000000  6.818610e+05  1.809100e+04  6.310000e+02   1.856000e+03\n",
              "75%       25.000000  1.823157e+06  5.541700e+04  1.938000e+03   5.755000e+03\n",
              "max       43.000000  2.252119e+08  5.613827e+06  1.674420e+06   1.361580e+06"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-da9abdda-72e1-435e-a90b-729eaa53db2a\" 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>category_id</th>\n",
              "      <th>views</th>\n",
              "      <th>likes</th>\n",
              "      <th>dislikes</th>\n",
              "      <th>comment_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>40949.000000</td>\n",
              "      <td>4.094900e+04</td>\n",
              "      <td>4.094900e+04</td>\n",
              "      <td>4.094900e+04</td>\n",
              "      <td>4.094900e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>19.972429</td>\n",
              "      <td>2.360785e+06</td>\n",
              "      <td>7.426670e+04</td>\n",
              "      <td>3.711401e+03</td>\n",
              "      <td>8.446804e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>7.568327</td>\n",
              "      <td>7.394114e+06</td>\n",
              "      <td>2.288853e+05</td>\n",
              "      <td>2.902971e+04</td>\n",
              "      <td>3.743049e+04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.490000e+02</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>17.000000</td>\n",
              "      <td>2.423290e+05</td>\n",
              "      <td>5.424000e+03</td>\n",
              "      <td>2.020000e+02</td>\n",
              "      <td>6.140000e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>24.000000</td>\n",
              "      <td>6.818610e+05</td>\n",
              "      <td>1.809100e+04</td>\n",
              "      <td>6.310000e+02</td>\n",
              "      <td>1.856000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>25.000000</td>\n",
              "      <td>1.823157e+06</td>\n",
              "      <td>5.541700e+04</td>\n",
              "      <td>1.938000e+03</td>\n",
              "      <td>5.755000e+03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>43.000000</td>\n",
              "      <td>2.252119e+08</td>\n",
              "      <td>5.613827e+06</td>\n",
              "      <td>1.674420e+06</td>\n",
              "      <td>1.361580e+06</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-da9abdda-72e1-435e-a90b-729eaa53db2a')\"\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-da9abdda-72e1-435e-a90b-729eaa53db2a 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-da9abdda-72e1-435e-a90b-729eaa53db2a');\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-6bcdf912-4f06-41bd-8276-df12748001ac\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6bcdf912-4f06-41bd-8276-df12748001ac')\"\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",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6bcdf912-4f06-41bd-8276-df12748001ac 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": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "videos.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_McUrAy7V5hU",
        "outputId": "30c8ed9c-3bcb-4fb4-b2a9-531aed5dfe7a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['trending_date', 'title', 'channel_title', 'category_id',\n",
              "       'publish_time', 'tags', 'views', 'likes', 'dislikes', 'comment_count'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "v1=videos[['views', 'likes', 'dislikes', 'comment_count']]"
      ],
      "metadata": {
        "id": "zcJ4JnleWBAU"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "v1.corr()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "7ekP2uyqWQET",
        "outputId": "97004706-d629-46af-cbed-d06ae05a67b8"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  views     likes  dislikes  comment_count\n",
              "views          1.000000  0.849177  0.472213       0.617621\n",
              "likes          0.849177  1.000000  0.447186       0.803057\n",
              "dislikes       0.472213  0.447186  1.000000       0.700184\n",
              "comment_count  0.617621  0.803057  0.700184       1.000000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-46d97a31-25f7-4ebd-98c7-48728947366d\" 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>views</th>\n",
              "      <th>likes</th>\n",
              "      <th>dislikes</th>\n",
              "      <th>comment_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>views</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.849177</td>\n",
              "      <td>0.472213</td>\n",
              "      <td>0.617621</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>likes</th>\n",
              "      <td>0.849177</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.447186</td>\n",
              "      <td>0.803057</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dislikes</th>\n",
              "      <td>0.472213</td>\n",
              "      <td>0.447186</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.700184</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>comment_count</th>\n",
              "      <td>0.617621</td>\n",
              "      <td>0.803057</td>\n",
              "      <td>0.700184</td>\n",
              "      <td>1.000000</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-46d97a31-25f7-4ebd-98c7-48728947366d')\"\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-46d97a31-25f7-4ebd-98c7-48728947366d 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-46d97a31-25f7-4ebd-98c7-48728947366d');\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-f8df2940-f36c-4ed5-a703-2bb7f4e779fd\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f8df2940-f36c-4ed5-a703-2bb7f4e779fd')\"\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",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-f8df2940-f36c-4ed5-a703-2bb7f4e779fd 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": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "v2=v1.corr()\n",
        "plt.imshow(v2,clim=(-1,1),cmap=\"RdBu\")\n",
        "plt.xticks(range(len(v2)),v2,rotation=45)\n",
        "plt.yticks(range(len(v2)),v2.columns,rotation=45)\n",
        "plt.colorbar()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 527
        },
        "id": "gsm25c9BWVpA",
        "outputId": "0a80adc9-033d-449c-9b60-7627eb6b54b7"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.colorbar.Colorbar at 0x7e9b0d7da950>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "njSglfdgXKwf"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}