CS625_SemesterProject.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "Ethan Landers | CS 625 | April 11th, 2024\n",
        "\n",
        "Old Dominion University\n",
        "\n",
        "# Semester Project"
      ],
      "metadata": {
        "id": "lMm5TkzxSoZl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import altair as alt"
      ],
      "metadata": {
        "id": "HxSMy19WbPm1"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 652
        },
        "id": "7TWu8_jnScLF",
        "outputId": "f3fc8b7f-2194-4da4-978e-240754fe2b2a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            week          category  weekly_rank             show_title  \\\n",
              "0     2024-03-31   Films (English)            1    Heart of the Hunter   \n",
              "1     2024-03-31   Films (English)            2             Irish Wish   \n",
              "2     2024-03-31   Films (English)            3                 Damsel   \n",
              "3     2024-03-31   Films (English)            4         The Accountant   \n",
              "4     2024-03-31   Films (English)            5  The Casagrandes Movie   \n",
              "...          ...               ...          ...                    ...   \n",
              "5755  2021-07-04  TV (Non-English)            6                  Elite   \n",
              "5756  2021-07-04  TV (Non-English)            7                  Elite   \n",
              "5757  2021-07-04  TV (Non-English)            8                  Elite   \n",
              "5758  2021-07-04  TV (Non-English)            9                  Katla   \n",
              "5759  2021-07-04  TV (Non-English)           10     Record of Ragnarok   \n",
              "\n",
              "                      season_title  weekly_hours_viewed  runtime  \\\n",
              "0                              NaN             19700000   1.7833   \n",
              "1                              NaN             16400000   1.5667   \n",
              "2                              NaN             18900000   1.8333   \n",
              "3                              NaN             13200000   2.1333   \n",
              "4                              NaN              6100000   1.4167   \n",
              "...                            ...                  ...      ...   \n",
              "5755               Elite: Season 1             10530000      NaN   \n",
              "5756               Elite: Season 3             10200000      NaN   \n",
              "5757               Elite: Season 2             10140000      NaN   \n",
              "5758               Katla: Season 1              9190000      NaN   \n",
              "5759  Record of Ragnarok: Season 1              9140000      NaN   \n",
              "\n",
              "      weekly_views  cumulative_weeks_in_top_10  is_staggered_launch  \\\n",
              "0       11000000.0                           1                False   \n",
              "1       10500000.0                           3                False   \n",
              "2       10300000.0                           4                False   \n",
              "3        6200000.0                           1                False   \n",
              "4        4300000.0                           2                False   \n",
              "...            ...                         ...                  ...   \n",
              "5755           NaN                           1                False   \n",
              "5756           NaN                           1                False   \n",
              "5757           NaN                           1                False   \n",
              "5758           NaN                           1                False   \n",
              "5759           NaN                           1                False   \n",
              "\n",
              "     episode_launch_details  \n",
              "0                       NaN  \n",
              "1                       NaN  \n",
              "2                       NaN  \n",
              "3                       NaN  \n",
              "4                       NaN  \n",
              "...                     ...  \n",
              "5755                    NaN  \n",
              "5756                    NaN  \n",
              "5757                    NaN  \n",
              "5758                    NaN  \n",
              "5759                    NaN  \n",
              "\n",
              "[5760 rows x 11 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6b985dec-df09-4df8-9c76-01666208afe8\" 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>week</th>\n",
              "      <th>category</th>\n",
              "      <th>weekly_rank</th>\n",
              "      <th>show_title</th>\n",
              "      <th>season_title</th>\n",
              "      <th>weekly_hours_viewed</th>\n",
              "      <th>runtime</th>\n",
              "      <th>weekly_views</th>\n",
              "      <th>cumulative_weeks_in_top_10</th>\n",
              "      <th>is_staggered_launch</th>\n",
              "      <th>episode_launch_details</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2024-03-31</td>\n",
              "      <td>Films (English)</td>\n",
              "      <td>1</td>\n",
              "      <td>Heart of the Hunter</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19700000</td>\n",
              "      <td>1.7833</td>\n",
              "      <td>11000000.0</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2024-03-31</td>\n",
              "      <td>Films (English)</td>\n",
              "      <td>2</td>\n",
              "      <td>Irish Wish</td>\n",
              "      <td>NaN</td>\n",
              "      <td>16400000</td>\n",
              "      <td>1.5667</td>\n",
              "      <td>10500000.0</td>\n",
              "      <td>3</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2024-03-31</td>\n",
              "      <td>Films (English)</td>\n",
              "      <td>3</td>\n",
              "      <td>Damsel</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18900000</td>\n",
              "      <td>1.8333</td>\n",
              "      <td>10300000.0</td>\n",
              "      <td>4</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2024-03-31</td>\n",
              "      <td>Films (English)</td>\n",
              "      <td>4</td>\n",
              "      <td>The Accountant</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13200000</td>\n",
              "      <td>2.1333</td>\n",
              "      <td>6200000.0</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2024-03-31</td>\n",
              "      <td>Films (English)</td>\n",
              "      <td>5</td>\n",
              "      <td>The Casagrandes Movie</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6100000</td>\n",
              "      <td>1.4167</td>\n",
              "      <td>4300000.0</td>\n",
              "      <td>2</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5755</th>\n",
              "      <td>2021-07-04</td>\n",
              "      <td>TV (Non-English)</td>\n",
              "      <td>6</td>\n",
              "      <td>Elite</td>\n",
              "      <td>Elite: Season 1</td>\n",
              "      <td>10530000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5756</th>\n",
              "      <td>2021-07-04</td>\n",
              "      <td>TV (Non-English)</td>\n",
              "      <td>7</td>\n",
              "      <td>Elite</td>\n",
              "      <td>Elite: Season 3</td>\n",
              "      <td>10200000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5757</th>\n",
              "      <td>2021-07-04</td>\n",
              "      <td>TV (Non-English)</td>\n",
              "      <td>8</td>\n",
              "      <td>Elite</td>\n",
              "      <td>Elite: Season 2</td>\n",
              "      <td>10140000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5758</th>\n",
              "      <td>2021-07-04</td>\n",
              "      <td>TV (Non-English)</td>\n",
              "      <td>9</td>\n",
              "      <td>Katla</td>\n",
              "      <td>Katla: Season 1</td>\n",
              "      <td>9190000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5759</th>\n",
              "      <td>2021-07-04</td>\n",
              "      <td>TV (Non-English)</td>\n",
              "      <td>10</td>\n",
              "      <td>Record of Ragnarok</td>\n",
              "      <td>Record of Ragnarok: Season 1</td>\n",
              "      <td>9140000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5760 rows × 11 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-6b985dec-df09-4df8-9c76-01666208afe8')\"\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-6b985dec-df09-4df8-9c76-01666208afe8 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-6b985dec-df09-4df8-9c76-01666208afe8');\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-e4a988d3-7058-4faf-ae16-cec2f8a31b26\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e4a988d3-7058-4faf-ae16-cec2f8a31b26')\"\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-e4a988d3-7058-4faf-ae16-cec2f8a31b26 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5760,\n  \"fields\": [\n    {\n      \"column\": \"week\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 144,\n        \"samples\": [\n          \"2022-01-02\",\n          \"2023-11-19\",\n          \"2022-09-04\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Films (Non-English)\",\n          \"TV (Non-English)\",\n          \"Films (English)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weekly_rank\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 1,\n        \"max\": 10,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          9,\n          2,\n          6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"show_title\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1881,\n        \"samples\": [\n          \"Blonde\",\n          \"Man on Fire\",\n          \"Seasons\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"season_title\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 818,\n        \"samples\": [\n          \"The Trust: Season 1\",\n          \"Money Heist: Korea - Joint Economic Area: Season 1\",\n          \"The Good Doctor: Season 2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weekly_hours_viewed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26596404,\n        \"min\": 700000,\n        \"max\": 571760000,\n        \"num_unique_values\": 2710,\n        \"samples\": [\n          19550000,\n          56700000,\n          24990000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"runtime\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.0589650757865776,\n        \"min\": 0.0,\n        \"max\": 20.3,\n        \"num_unique_values\": 332,\n        \"samples\": [\n          4.0333,\n          3.55,\n          4.6667\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weekly_views\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5052611.015122589,\n        \"min\": 600000.0,\n        \"max\": 50800000.0,\n        \"num_unique_values\": 192,\n        \"samples\": [\n          6100000.0,\n          41700000.0,\n          16000000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cumulative_weeks_in_top_10\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 1,\n        \"max\": 30,\n        \"num_unique_values\": 30,\n        \"samples\": [\n          26,\n          17,\n          19\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_staggered_launch\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"episode_launch_details\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 70,\n        \"samples\": [\n          \"[{\\\"episodesLaunched\\\":14,\\\"countryList\\\":[\\\"KZ\\\",\\\"IS\\\",\\\"SG\\\",\\\"MW\\\",\\\"AZ\\\",\\\"BA\\\",\\\"HT\\\",\\\"MF\\\",\\\"TD\\\",\\\"BM\\\",\\\"MG\\\",\\\"SM\\\",\\\"GM\\\",\\\"UG\\\",\\\"MH\\\",\\\"TC\\\",\\\"NZ\\\",\\\"BB\\\",\\\"KG\\\",\\\"MT\\\",\\\"KM\\\",\\\"BF\\\",\\\"LT\\\",\\\"DE\\\",\\\"JP\\\",\\\"SL\\\",\\\"CK\\\",\\\"SR\\\",\\\"CC\\\",\\\"ST\\\",\\\"VG\\\",\\\"IE\\\",\\\"NE\\\",\\\"CG\\\",\\\"MZ\\\",\\\"BG\\\",\\\"ZM\\\",\\\"RU\\\",\\\"AE\\\",\\\"AW\\\",\\\"UA\\\",\\\"MQ\\\",\\\"AT\\\",\\\"CV\\\",\\\"SD\\\",\\\"AL\\\",\\\"MO\\\",\\\"TV\\\",\\\"SA\\\",\\\"ER\\\",\\\"IN\\\",\\\"MY\\\",\\\"NO\\\",\\\"TL\\\",\\\"NR\\\",\\\"NP\\\",\\\"LY\\\",\\\"NG\\\",\\\"AD\\\",\\\"GA\\\",\\\"KR\\\",\\\"SS\\\",\\\"IT\\\",\\\"VI\\\",\\\"VN\\\",\\\"AU\\\",\\\"RW\\\",\\\"GL\\\",\\\"CI\\\",\\\"PL\\\",\\\"GS\\\",\\\"GH\\\",\\\"NA\\\",\\\"GG\\\",\\\"MV\\\",\\\"TM\\\",\\\"MR\\\",\\\"BQ\\\",\\\"SE\\\",\\\"BL\\\",\\\"ES\\\",\\\"HM\\\",\\\"TG\\\",\\\"EE\\\",\\\"TH\\\",\\\"CM\\\",\\\"TW\\\",\\\"AO\\\",\\\"DJ\\\",\\\"PF\\\",\\\"PW\\\",\\\"DZ\\\",\\\"ID\\\",\\\"VU\\\",\\\"KE\\\",\\\"LV\\\",\\\"PT\\\",\\\"SO\\\",\\\"PN\\\",\\\"LU\\\",\\\"DM\\\",\\\"AS\\\",\\\"GY\\\",\\\"PG\\\",\\\"WF\\\",\\\"SK\\\",\\\"OM\\\",\\\"IR\\\",\\\"GW\\\",\\\"VA\\\",\\\"GU\\\",\\\"TJ\\\",\\\"GD\\\",\\\"GP\\\",\\\"ZA\\\",\\\"DK\\\",\\\"PH\\\",\\\"BJ\\\",\\\"WS\\\",\\\"SX\\\",\\\"JM\\\",\\\"LK\\\",\\\"AI\\\",\\\"SI\\\",\\\"FO\\\",\\\"JO\\\",\\\"MP\\\",\\\"TR\\\",\\\"NC\\\",\\\"FK\\\",\\\"MN\\\",\\\"MM\\\",\\\"CF\\\",\\\"RS\\\",\\\"VC\\\",\\\"AQ\\\",\\\"ET\\\",\\\"LR\\\",\\\"CW\\\",\\\"GN\\\",\\\"ML\\\",\\\"BE\\\",\\\"UZ\\\",\\\"CD\\\",\\\"FJ\\\",\\\"AG\\\",\\\"TN\\\",\\\"BI\\\",\\\"RO\\\",\\\"US\\\",\\\"GR\\\",\\\"PK\\\",\\\"EH\\\",\\\"EG\\\",\\\"LS\\\",\\\"GF\\\",\\\"BH\\\",\\\"TZ\\\",\\\"KH\\\",\\\"CX\\\",\\\"GB\\\",\\\"GE\\\",\\\"KN\\\",\\\"BS\\\",\\\"LB\\\",\\\"CZ\\\",\\\"JE\\\",\\\"SN\\\",\\\"KI\\\",\\\"BT\\\",\\\"NF\\\",\\\"TT\\\",\\\"MC\\\",\\\"PM\\\",\\\"KW\\\",\\\"BW\\\",\\\"BD\\\",\\\"UM\\\",\\\"FR\\\",\\\"BY\\\",\\\"PS\\\",\\\"TK\\\",\\\"FM\\\",\\\"HU\\\",\\\"IQ\\\",\\\"AM\\\",\\\"IO\\\",\\\"BN\\\",\\\"ME\\\",\\\"FI\\\",\\\"MD\\\",\\\"NL\\\",\\\"MA\\\",\\\"SB\\\",\\\"MS\\\",\\\"IL\\\",\\\"LI\\\",\\\"YT\\\",\\\"MK\\\",\\\"KY\\\",\\\"TO\\\",\\\"HR\\\",\\\"NU\\\",\\\"SH\\\",\\\"ZW\\\",\\\"CH\\\",\\\"CY\\\",\\\"LA\\\",\\\"MU\\\",\\\"SZ\\\",\\\"QA\\\",\\\"GI\\\",\\\"LC\\\",\\\"AF\\\",\\\"CA\\\",\\\"SC\\\",\\\"IM\\\",\\\"YE\\\",\\\"RE\\\",\\\"HK\\\"]},{\\\"episodesLaunched\\\":12,\\\"countryList\\\":[\\\"CL\\\",\\\"MX\\\",\\\"CR\\\",\\\"BR\\\",\\\"GT\\\",\\\"AR\\\",\\\"CU\\\",\\\"HN\\\",\\\"CO\\\",\\\"SV\\\",\\\"PY\\\",\\\"BO\\\",\\\"VE\\\",\\\"UY\\\",\\\"PR\\\",\\\"NI\\\",\\\"PE\\\",\\\"GQ\\\",\\\"PA\\\",\\\"EC\\\",\\\"DO\\\",\\\"BZ\\\"]}]\",\n          \"[{\\\"episodesLaunched\\\":4,\\\"countryList\\\":[\\\"BO\\\",\\\"DO\\\",\\\"UY\\\",\\\"CL\\\",\\\"PA\\\",\\\"BR\\\",\\\"PY\\\",\\\"MX\\\",\\\"NI\\\",\\\"EC\\\",\\\"GT\\\",\\\"CR\\\",\\\"HN\\\",\\\"SV\\\",\\\"CU\\\",\\\"BZ\\\",\\\"VE\\\",\\\"AR\\\",\\\"CO\\\",\\\"GQ\\\",\\\"PE\\\",\\\"PR\\\"]},{\\\"episodesLaunched\\\":8,\\\"countryList\\\":[\\\"KG\\\",\\\"JM\\\",\\\"DJ\\\",\\\"PF\\\",\\\"ES\\\",\\\"BW\\\",\\\"OM\\\",\\\"LB\\\",\\\"VN\\\",\\\"FJ\\\",\\\"AL\\\",\\\"QA\\\",\\\"RE\\\",\\\"UG\\\",\\\"CK\\\",\\\"BY\\\",\\\"ZM\\\",\\\"MR\\\",\\\"YE\\\",\\\"BA\\\",\\\"GE\\\",\\\"SM\\\",\\\"EH\\\",\\\"NC\\\",\\\"FR\\\",\\\"GG\\\",\\\"TW\\\",\\\"SO\\\",\\\"LC\\\",\\\"MT\\\",\\\"TT\\\",\\\"BS\\\",\\\"FO\\\",\\\"GU\\\",\\\"MO\\\",\\\"DK\\\",\\\"ET\\\",\\\"MW\\\",\\\"KN\\\",\\\"KY\\\",\\\"DZ\\\",\\\"GS\\\",\\\"AM\\\",\\\"SB\\\",\\\"LY\\\",\\\"TH\\\",\\\"HU\\\",\\\"IL\\\",\\\"IS\\\",\\\"MF\\\",\\\"RS\\\",\\\"BL\\\",\\\"CI\\\",\\\"MA\\\",\\\"MG\\\",\\\"NF\\\",\\\"VI\\\",\\\"SE\\\",\\\"MV\\\",\\\"BM\\\",\\\"TN\\\",\\\"CC\\\",\\\"IR\\\",\\\"FI\\\",\\\"BE\\\",\\\"BT\\\",\\\"AI\\\",\\\"AT\\\",\\\"TM\\\",\\\"MD\\\",\\\"BJ\\\",\\\"KE\\\",\\\"TC\\\",\\\"MP\\\",\\\"GB\\\",\\\"IT\\\",\\\"TR\\\",\\\"KZ\\\",\\\"GL\\\",\\\"MK\\\",\\\"ZW\\\",\\\"UA\\\",\\\"NL\\\",\\\"RU\\\",\\\"BQ\\\",\\\"ST\\\",\\\"JO\\\",\\\"IO\\\",\\\"CD\\\",\\\"MU\\\",\\\"AU\\\",\\\"JE\\\",\\\"CV\\\",\\\"HM\\\",\\\"MS\\\",\\\"HT\\\",\\\"KW\\\",\\\"LU\\\",\\\"ME\\\",\\\"AW\\\",\\\"ML\\\",\\\"SG\\\",\\\"SC\\\",\\\"TV\\\",\\\"TG\\\",\\\"TL\\\",\\\"AG\\\",\\\"PW\\\",\\\"AO\\\",\\\"MC\\\",\\\"LV\\\",\\\"SA\\\",\\\"FK\\\",\\\"HK\\\",\\\"GA\\\",\\\"AZ\\\",\\\"CW\\\",\\\"VG\\\",\\\"FM\\\",\\\"SD\\\",\\\"PT\\\",\\\"HR\\\",\\\"CX\\\",\\\"CF\\\",\\\"UZ\\\",\\\"AQ\\\",\\\"GH\\\",\\\"SI\\\",\\\"SZ\\\",\\\"NE\\\",\\\"BF\\\",\\\"GP\\\",\\\"ID\\\",\\\"PN\\\",\\\"BG\\\",\\\"RW\\\",\\\"VU\\\",\\\"BB\\\",\\\"CM\\\",\\\"BD\\\",\\\"KI\\\",\\\"ER\\\",\\\"MM\\\",\\\"LK\\\",\\\"SK\\\",\\\"MH\\\",\\\"TJ\\\",\\\"AF\\\",\\\"SN\\\",\\\"SX\\\",\\\"NZ\\\",\\\"PH\\\",\\\"PM\\\",\\\"NP\\\",\\\"AE\\\",\\\"NA\\\",\\\"IQ\\\",\\\"BI\\\",\\\"VC\\\",\\\"LT\\\",\\\"PS\\\",\\\"KH\\\",\\\"US\\\",\\\"SH\\\",\\\"PG\\\",\\\"GY\\\",\\\"TZ\\\",\\\"PK\\\",\\\"GR\\\",\\\"NG\\\",\\\"DE\\\",\\\"GI\\\",\\\"CY\\\",\\\"WS\\\",\\\"CH\\\",\\\"CG\\\",\\\"EE\\\",\\\"SS\\\",\\\"GF\\\",\\\"GN\\\",\\\"RO\\\",\\\"TO\\\",\\\"YT\\\",\\\"MQ\\\",\\\"UM\\\",\\\"DM\\\",\\\"MY\\\",\\\"JP\\\",\\\"AS\\\",\\\"KR\\\",\\\"NO\\\",\\\"LA\\\",\\\"IM\\\",\\\"KM\\\",\\\"GW\\\",\\\"BH\\\",\\\"BN\\\",\\\"CA\\\",\\\"TK\\\",\\\"NR\\\",\\\"LR\\\",\\\"IE\\\",\\\"VA\\\",\\\"LS\\\",\\\"CZ\\\",\\\"IN\\\",\\\"PL\\\",\\\"SL\\\",\\\"WF\\\",\\\"GD\\\",\\\"AD\\\",\\\"TD\\\",\\\"GM\\\",\\\"MN\\\",\\\"MZ\\\",\\\"SR\\\",\\\"EG\\\",\\\"ZA\\\",\\\"NU\\\",\\\"LI\\\"]}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "# Read in dataset\n",
        "data = pd.read_csv(\"https://raw.githubusercontent.com/odu-cs625-datavis/Spring24-asv-ethanlanders/main/semester_project/all-weeks-global.csv?token=GHSAT0AAAAAACQLUCY7OMGO7U6OKJQNLTXSZRC2FIQ\")\n",
        "\n",
        "# View dataset\n",
        "data"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Question 1"
      ],
      "metadata": {
        "id": "LXdKI_RjTEc_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Does the runtime of Netflix films influence their weekly viewership?**\n"
      ],
      "metadata": {
        "id": "c1FJ-IyHS62u"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Define a Data Frame containing only English film information\n",
        "films = data[(data['category']==\"Films (English)\") | (data['category']==\"Films (Non-English)\")]\n",
        "\n",
        "# Remove rows from Data Frame that do not contain runtime information\n",
        "films_cleaned = films.dropna(subset=['runtime'])\n",
        "\n",
        "# Group by 'show_title' to avoid redundancy\n",
        "films_grouped = films_cleaned.groupby('show_title').agg({\n",
        "    'week': 'count',\n",
        "    'weekly_views': 'mean',\n",
        "    'runtime': 'mean'\n",
        "}).reset_index()\n",
        "\n",
        "# Plot\n",
        "scatterplot = alt.Chart(films_grouped).mark_circle(size=50).encode(\n",
        "    x=alt.X('runtime', title='Runtime (in hours)'),\n",
        "    y=alt.Y('weekly_views', title='Weekly Views (in hours)'),\n",
        "    tooltip=[\n",
        "        alt.Tooltip('runtime:Q', title='Runtime (in hours)'),\n",
        "        alt.Tooltip('weekly_views:Q', title=\"Weekly Views (in hours)\", format=','),\n",
        "        alt.Tooltip('show_title:N', title='Film Title'),\n",
        "    ]\n",
        ").properties(\n",
        "    title='Runtime vs. Weekly Viewership of Netflix Films (2023-2024)',\n",
        "    width=600,\n",
        "    height=500\n",
        ").interactive()\n",
        "\n",
        "# View Plot\n",
        "scatterplot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 586
        },
        "id": "gIvxZZk4dGvN",
        "outputId": "42488f72-aa7d-45c7-a174-b064bb6122f3"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "<div id=\"altair-viz-9345789c2a934041b0a8a822f66371c3\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-9345789c2a934041b0a8a822f66371c3\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-9345789c2a934041b0a8a822f66371c3\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function maybeLoadScript(lib, version) {\n",
              "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
              "      return (VEGA_DEBUG[key] == version) ?\n",
              "        Promise.resolve(paths[lib]) :\n",
              "        new Promise(function(resolve, reject) {\n",
              "          var s = document.createElement('script');\n",
              "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "          s.async = true;\n",
              "          s.onload = () => {\n",
              "            VEGA_DEBUG[key] = version;\n",
              "            return resolve(paths[lib]);\n",
              "          };\n",
              "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "          s.src = paths[lib];\n",
              "        });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else {\n",
              "      maybeLoadScript(\"vega\", \"5\")\n",
              "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
              "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-5df9b0068bb6b26b3aae6cddfd7aec41\"}, \"mark\": {\"type\": \"circle\", \"size\": 50}, \"encoding\": {\"tooltip\": [{\"field\": \"runtime\", \"title\": \"Runtime (in hours)\", \"type\": \"quantitative\"}, {\"field\": \"weekly_views\", \"format\": \",\", \"title\": \"Weekly Views (in hours)\", \"type\": \"quantitative\"}, {\"field\": \"show_title\", \"title\": \"Film Title\", \"type\": \"nominal\"}], \"x\": {\"field\": \"runtime\", \"title\": \"Runtime (in hours)\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"weekly_views\", \"title\": \"Weekly Views (in hours)\", \"type\": \"quantitative\"}}, \"height\": 500, \"selection\": {\"selector001\": {\"type\": \"interval\", \"bind\": \"scales\", \"encodings\": [\"x\", \"y\"]}}, \"title\": \"Runtime vs. Weekly Viewership of Netflix Films (2023-2024)\", \"width\": 600, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-5df9b0068bb6b26b3aae6cddfd7aec41\": [{\"show_title\": \"10 Days of a Bad Man\", \"week\": 2, \"weekly_views\": 3300000.0, \"runtime\": 2.0667}, {\"show_title\": \"13 Hours: The Secret Soldiers of Benghazi\", \"week\": 1, \"weekly_views\": 4100000.0, \"runtime\": 2.4}, {\"show_title\": \"24 Hours with Gaspar\", \"week\": 1, \"weekly_views\": 900000.0, \"runtime\": 1.6333}, {\"show_title\": \"47 Ronin\", \"week\": 1, \"weekly_views\": 2300000.0, \"runtime\": 2.0167}, {\"show_title\": \"65\", \"week\": 1, \"weekly_views\": 6800000.0, \"runtime\": 1.55}, {\"show_title\": \"A Beautiful Life\", \"week\": 5, \"weekly_views\": 1880000.0, \"runtime\": 1.6667}, {\"show_title\": \"A Day and a Half\", \"week\": 3, \"weekly_views\": 4166666.6666666665, \"runtime\": 1.6000000000000003}, {\"show_title\": \"A Day to Die\", \"week\": 1, \"weekly_views\": 3400000.0, \"runtime\": 1.75}, {\"show_title\": \"A Deadly Invitation\", \"week\": 4, \"weekly_views\": 1800000.0, \"runtime\": 1.55}, {\"show_title\": \"A Life Too Short: The Isabella Nardoni Case\", \"week\": 3, \"weekly_views\": 4100000.0, \"runtime\": 1.75}, {\"show_title\": \"A Vampire in the Family\", \"week\": 3, \"weekly_views\": 3933333.3333333335, \"runtime\": 1.5}, {\"show_title\": \"A Very Good Girl\", \"week\": 1, \"weekly_views\": 2400000.0, \"runtime\": 1.9667}, {\"show_title\": \"AKA\", \"week\": 2, \"weekly_views\": 1400000.0, \"runtime\": 2.0667}, {\"show_title\": \"Abduction\", \"week\": 1, \"weekly_views\": 2300000.0, \"runtime\": 1.7667}, {\"show_title\": \"Accused\", \"week\": 1, \"weekly_views\": 3300000.0, \"runtime\": 1.4667}, {\"show_title\": \"Adipurush\", \"week\": 3, \"weekly_views\": 1733333.3333333333, \"runtime\": 2.9667}, {\"show_title\": \"Afwaah\", \"week\": 2, \"weekly_views\": 1300000.0, \"runtime\": 2.0333}, {\"show_title\": \"Air Mata di Ujung Sajadah\", \"week\": 1, \"weekly_views\": 900000.0, \"runtime\": 1.75}, {\"show_title\": \"All My Life\", \"week\": 1, \"weekly_views\": 3000000.0, \"runtime\": 1.5333}, {\"show_title\": \"All-Time High\", \"week\": 3, \"weekly_views\": 3266666.6666666665, \"runtime\": 1.7167000000000001}, {\"show_title\": \"Alone\", \"week\": 1, \"weekly_views\": 3600000.0, \"runtime\": 1.6333}, {\"show_title\": \"Alvin and the Chipmunks: Chipwrecked\", \"week\": 1, \"weekly_views\": 3900000.0, \"runtime\": 1.45}, {\"show_title\": \"Alvin and the Chipmunks: The Squeakquel\", \"week\": 1, \"weekly_views\": 2600000.0, \"runtime\": 1.4833}, {\"show_title\": \"American Assassin\", \"week\": 2, \"weekly_views\": 4800000.0, \"runtime\": 1.8667}, {\"show_title\": \"American Made\", \"week\": 1, \"weekly_views\": 4900000.0, \"runtime\": 1.9167}, {\"show_title\": \"Animal\", \"week\": 3, \"weekly_views\": 4533333.333333333, \"runtime\": 3.35}, {\"show_title\": \"Annapoorni\", \"week\": 1, \"weekly_views\": 3100000.0, \"runtime\": 2.4167}, {\"show_title\": \"Anweshippin Kandethum\", \"week\": 2, \"weekly_views\": 1800000.0, \"runtime\": 2.3833}, {\"show_title\": \"Aquaman\", \"week\": 1, \"weekly_views\": 7000000.0, \"runtime\": 2.3833}, {\"show_title\": \"Art of Love\", \"week\": 3, \"weekly_views\": 5400000.0, \"runtime\": 1.6499999999999997}, {\"show_title\": \"Ashes\", \"week\": 3, \"weekly_views\": 4633333.333333333, \"runtime\": 1.6833}, {\"show_title\": \"Assassin's Creed\", \"week\": 1, \"weekly_views\": 2800000.0, \"runtime\": 1.9167}, {\"show_title\": \"B&B Merry\", \"week\": 1, \"weekly_views\": 4600000.0, \"runtime\": 1.3667}, {\"show_title\": \"Badland Hunters\", \"week\": 4, \"weekly_views\": 10250000.0, \"runtime\": 1.8167}, {\"show_title\": \"Ballerina\", \"week\": 6, \"weekly_views\": 5866666.666666667, \"runtime\": 1.5528000000000002}, {\"show_title\": \"Bear Man\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 1.6167}, {\"show_title\": \"Believer 2\", \"week\": 3, \"weekly_views\": 4600000.0, \"runtime\": 1.9333}, {\"show_title\": \"Best. Christmas. Ever!\", \"week\": 3, \"weekly_views\": 12200000.0, \"runtime\": 1.3667}, {\"show_title\": \"Bhakshak\", \"week\": 3, \"weekly_views\": 3466666.6666666665, \"runtime\": 2.25}, {\"show_title\": \"Bhola Shankar\", \"week\": 2, \"weekly_views\": 900000.0, \"runtime\": 2.6167}, {\"show_title\": \"Bhola Shankar (Hindi)\", \"week\": 1, \"weekly_views\": 900000.0, \"runtime\": 2.6}, {\"show_title\": \"Big George Foreman: The Miraculous Story of the Once and Future Heavyweight Champion of the World\", \"week\": 1, \"weekly_views\": 4000000.0, \"runtime\": 2.15}, {\"show_title\": \"Big Nunu's Little Heist\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 1.55}, {\"show_title\": \"Bird Box Barcelona\", \"week\": 4, \"weekly_views\": 10725000.0, \"runtime\": 1.8667}, {\"show_title\": \"Bitconned\", \"week\": 1, \"weekly_views\": 4900000.0, \"runtime\": 1.5667}, {\"show_title\": \"Black Adam\", \"week\": 1, \"weekly_views\": 2700000.0, \"runtime\": 2.0833}, {\"show_title\": \"Black Clover: Sword of the Wizard King\", \"week\": 3, \"weekly_views\": 3900000.0, \"runtime\": 1.8833}, {\"show_title\": \"Blood & Gold\", \"week\": 1, \"weekly_views\": 1600000.0, \"runtime\": 1.65}, {\"show_title\": \"Blood Vessel\", \"week\": 3, \"weekly_views\": 2666666.6666666665, \"runtime\": 1.9833}, {\"show_title\": \"Bro\", \"week\": 1, \"weekly_views\": 1000000.0, \"runtime\": 2.2}, {\"show_title\": \"Bro (Hindi)\", \"week\": 1, \"weekly_views\": 900000.0, \"runtime\": 2.2}, {\"show_title\": \"Burning Betrayal\", \"week\": 4, \"weekly_views\": 6425000.0, \"runtime\": 1.65}, {\"show_title\": \"CJ7\", \"week\": 2, \"weekly_views\": 1900000.0, \"runtime\": 1.4667}, {\"show_title\": \"Caged Wings\", \"week\": 2, \"weekly_views\": 1200000.0, \"runtime\": 1.7167}, {\"show_title\": \"Captain Underpants: The First Epic Movie\", \"week\": 1, \"weekly_views\": 3100000.0, \"runtime\": 1.4833}, {\"show_title\": \"Casper\", \"week\": 1, \"weekly_views\": 3200000.0, \"runtime\": 1.6667}, {\"show_title\": \"Cat & Dog\", \"week\": 3, \"weekly_views\": 4466666.666666667, \"runtime\": 1.45}, {\"show_title\": \"Catering Christmas\", \"week\": 2, \"weekly_views\": 6650000.0, \"runtime\": 1.4333}, {\"show_title\": \"Chicken Run: Dawn of the Nugget\", \"week\": 4, \"weekly_views\": 9925000.0, \"runtime\": 1.7}, {\"show_title\": \"Choose Love\", \"week\": 2, \"weekly_views\": 6750000.0, \"runtime\": 1.2833}, {\"show_title\": \"Christmas as Usual\", \"week\": 2, \"weekly_views\": 5750000.0, \"runtime\": 1.4833}, {\"show_title\": \"Cindy la Regia\", \"week\": 1, \"weekly_views\": 2500000.0, \"runtime\": 1.8}, {\"show_title\": \"Code 8\", \"week\": 2, \"weekly_views\": 6750000.0, \"runtime\": 1.65}, {\"show_title\": \"Code 8 Part II\", \"week\": 3, \"weekly_views\": 11833333.333333334, \"runtime\": 1.6666999999999998}, {\"show_title\": \"Cold Pursuit\", \"week\": 4, \"weekly_views\": 5475000.0, \"runtime\": 1.9667}, {\"show_title\": \"Como si fuera la primera vez\", \"week\": 1, \"weekly_views\": 1300000.0, \"runtime\": 1.8167}, {\"show_title\": \"Concrete Utopia\", \"week\": 1, \"weekly_views\": 1400000.0, \"runtime\": 2.1667}, {\"show_title\": \"Crawl\", \"week\": 1, \"weekly_views\": 2900000.0, \"runtime\": 1.45}, {\"show_title\": \"Crime Diaries: The Celebrity Stylist\", \"week\": 2, \"weekly_views\": 3850000.0, \"runtime\": 1.1833}, {\"show_title\": \"Crossroads\", \"week\": 1, \"weekly_views\": 3700000.0, \"runtime\": 1.4833}, {\"show_title\": \"Crypto Boy\", \"week\": 1, \"weekly_views\": 2200000.0, \"runtime\": 1.7167}, {\"show_title\": \"Curry & Cyanide - The Jolly Joseph Case\", \"week\": 3, \"weekly_views\": 3433333.3333333335, \"runtime\": 1.6333}, {\"show_title\": \"Damsel\", \"week\": 4, \"weekly_views\": 28975000.0, \"runtime\": 1.8333}, {\"show_title\": \"Deep Fear\", \"week\": 2, \"weekly_views\": 5950000.0, \"runtime\": 1.4167}, {\"show_title\": \"Desierto\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 1.45}, {\"show_title\": \"Despicable Me\", \"week\": 2, \"weekly_views\": 5950000.0, \"runtime\": 1.5833}, {\"show_title\": \"Despicable Me 2\", \"week\": 4, \"weekly_views\": 5850000.0, \"runtime\": 1.6333}, {\"show_title\": \"Despicable Me 3\", \"week\": 5, \"weekly_views\": 8220000.0, \"runtime\": 1.5}, {\"show_title\": \"Dhak Dhak\", \"week\": 1, \"weekly_views\": 1600000.0, \"runtime\": 2.2833}, {\"show_title\": \"Do Not Disturb\", \"week\": 1, \"weekly_views\": 1400000.0, \"runtime\": 1.9167}, {\"show_title\": \"Don't Buy the Seller\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 1.7}, {\"show_title\": \"Dora and the Lost City of Gold\", \"week\": 1, \"weekly_views\": 2900000.0, \"runtime\": 1.7}, {\"show_title\": \"Dr. Cheon and the Lost Talisman\", \"week\": 2, \"weekly_views\": 1000000.0, \"runtime\": 1.6333}, {\"show_title\": \"Dr. Seuss' The Grinch\", \"week\": 7, \"weekly_views\": 3771428.5714285714, \"runtime\": 1.4333000000000002}, {\"show_title\": \"Dragon\", \"week\": 2, \"weekly_views\": 800000.0, \"runtime\": 1.9167}, {\"show_title\": \"Dream\", \"week\": 3, \"weekly_views\": 3000000.0, \"runtime\": 2.0833}, {\"show_title\": \"Dream Girl 2\", \"week\": 2, \"weekly_views\": 2600000.0, \"runtime\": 2.1167}, {\"show_title\": \"Dumb Money\", \"week\": 1, \"weekly_views\": 3500000.0, \"runtime\": 1.75}, {\"show_title\": \"Dune\", \"week\": 1, \"weekly_views\": 3600000.0, \"runtime\": 2.5833}, {\"show_title\": \"Dunki\", \"week\": 3, \"weekly_views\": 3600000.0, \"runtime\": 2.6667}, {\"show_title\": \"Ehrengard: The Art of Seduction\", \"week\": 3, \"weekly_views\": 3133333.3333333335, \"runtime\": 1.5833000000000002}, {\"show_title\": \"Einstein and the Bomb\", \"week\": 2, \"weekly_views\": 7850000.0, \"runtime\": 1.2833}, {\"show_title\": \"El Conde\", \"week\": 2, \"weekly_views\": 1300000.0, \"runtime\": 1.85}, {\"show_title\": \"El paseo 7\", \"week\": 1, \"weekly_views\": 1600000.0, \"runtime\": 1.4667}, {\"show_title\": \"Elena Knows\", \"week\": 2, \"weekly_views\": 2000000.0, \"runtime\": 1.6833}, {\"show_title\": \"Exodus: Gods and Kings\", \"week\": 1, \"weekly_views\": 7400000.0, \"runtime\": 2.5}, {\"show_title\": \"Extraction\", \"week\": 3, \"weekly_views\": 9800000.0, \"runtime\": 1.9667000000000001}, {\"show_title\": \"Extraction 2\", \"week\": 7, \"weekly_views\": 17614285.714285713, \"runtime\": 2.0667}, {\"show_title\": \"Eye of the Storm\", \"week\": 1, \"weekly_views\": 1500000.0, \"runtime\": 1.9833}, {\"show_title\": \"F9: The Fast Saga\", \"week\": 2, \"weekly_views\": 7350000.0, \"runtime\": 2.3833}, {\"show_title\": \"Fair Play\", \"week\": 3, \"weekly_views\": 10133333.333333334, \"runtime\": 1.9166999999999998}, {\"show_title\": \"Faithfully Yours\", \"week\": 2, \"weekly_views\": 1000000.0, \"runtime\": 1.5833}, {\"show_title\": \"Falling for Christmas\", \"week\": 1, \"weekly_views\": 2700000.0, \"runtime\": 1.5833}, {\"show_title\": \"Familia\", \"week\": 2, \"weekly_views\": 1700000.0, \"runtime\": 1.7667}, {\"show_title\": \"Family Switch\", \"week\": 4, \"weekly_views\": 14150000.0, \"runtime\": 1.7667}, {\"show_title\": \"Fatale\", \"week\": 2, \"weekly_views\": 4550000.0, \"runtime\": 1.7167}, {\"show_title\": \"Fifty Shades Freed\", \"week\": 1, \"weekly_views\": 3400000.0, \"runtime\": 1.75}, {\"show_title\": \"Fighter\", \"week\": 2, \"weekly_views\": 6200000.0, \"runtime\": 2.7333}, {\"show_title\": \"Force of Nature\", \"week\": 1, \"weekly_views\": 2700000.0, \"runtime\": 1.65}, {\"show_title\": \"Ford v. Ferrari\", \"week\": 2, \"weekly_views\": 3850000.0, \"runtime\": 2.55}, {\"show_title\": \"Forgotten Love\", \"week\": 8, \"weekly_views\": 4850000.0, \"runtime\": 2.3333}, {\"show_title\": \"Freestyle\", \"week\": 2, \"weekly_views\": 1800000.0, \"runtime\": 1.4667}, {\"show_title\": \"Friday Night Plan\", \"week\": 2, \"weekly_views\": 1050000.0, \"runtime\": 1.8167}, {\"show_title\": \"From the Ashes\", \"week\": 3, \"weekly_views\": 2533333.3333333335, \"runtime\": 1.5332999999999999}, {\"show_title\": \"Fury\", \"week\": 1, \"weekly_views\": 3300000.0, \"runtime\": 2.2333}, {\"show_title\": \"Gandeevadhari Arjuna\", \"week\": 1, \"weekly_views\": 1700000.0, \"runtime\": 2.25}, {\"show_title\": \"Gemini Man\", \"week\": 2, \"weekly_views\": 6300000.0, \"runtime\": 1.95}, {\"show_title\": \"Get Out\", \"week\": 2, \"weekly_views\": 2750000.0, \"runtime\": 1.7333}, {\"show_title\": \"Ghosts of the Abyss\", \"week\": 1, \"weekly_views\": 3300000.0, \"runtime\": 1.4667}, {\"show_title\": \"Girls to Buy\", \"week\": 2, \"weekly_views\": 2700000.0, \"runtime\": 2.4}, {\"show_title\": \"Gold Brick\", \"week\": 4, \"weekly_views\": 3350000.0, \"runtime\": 1.6167}, {\"show_title\": \"Gumraah\", \"week\": 1, \"weekly_views\": 1600000.0, \"runtime\": 2.1167}, {\"show_title\": \"Guntur Kaaram\", \"week\": 1, \"weekly_views\": 2000000.0, \"runtime\": 2.6}, {\"show_title\": \"Guntur Kaaram (Hindi)\", \"week\": 2, \"weekly_views\": 1450000.0, \"runtime\": 2.6}, {\"show_title\": \"Half Brothers\", \"week\": 2, \"weekly_views\": 4150000.0, \"runtime\": 1.6}, {\"show_title\": \"Happiness for Beginners\", \"week\": 3, \"weekly_views\": 9133333.333333334, \"runtime\": 1.7667}, {\"show_title\": \"Happy Ending\", \"week\": 3, \"weekly_views\": 2200000.0, \"runtime\": 1.55}, {\"show_title\": \"Hard Days\", \"week\": 1, \"weekly_views\": 1300000.0, \"runtime\": 1.9667}, {\"show_title\": \"Hatching\", \"week\": 1, \"weekly_views\": 1300000.0, \"runtime\": 1.5167}, {\"show_title\": \"Head to Head\", \"week\": 2, \"weekly_views\": 1300000.0, \"runtime\": 1.5833}, {\"show_title\": \"Heart of Stone\", \"week\": 5, \"weekly_views\": 18380000.0, \"runtime\": 2.1}, {\"show_title\": \"Heart of the Hunter\", \"week\": 1, \"weekly_views\": 11000000.0, \"runtime\": 1.7833}, {\"show_title\": \"Heaven in Hell\", \"week\": 2, \"weekly_views\": 2750000.0, \"runtime\": 2.0}, {\"show_title\": \"Hellboy\", \"week\": 1, \"weekly_views\": 3700000.0, \"runtime\": 2.0167}, {\"show_title\": \"Herself\", \"week\": 1, \"weekly_views\": 4100000.0, \"runtime\": 1.6167}, {\"show_title\": \"Hi Nanna\", \"week\": 2, \"weekly_views\": 1500000.0, \"runtime\": 2.6}, {\"show_title\": \"Hi Papa (Hindi)\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 2.6}, {\"show_title\": \"Hidden Strike\", \"week\": 4, \"weekly_views\": 14200000.0, \"runtime\": 1.7167}, {\"show_title\": \"Holiday in the Vineyards\", \"week\": 2, \"weekly_views\": 4900000.0, \"runtime\": 1.7833}, {\"show_title\": \"Hotel Transylvania 2\", \"week\": 1, \"weekly_views\": 2800000.0, \"runtime\": 1.5}, {\"show_title\": \"How To Deal With a Heartbreak\", \"week\": 1, \"weekly_views\": 1100000.0, \"runtime\": 1.7}, {\"show_title\": \"How the Grinch Stole Christmas\", \"week\": 1, \"weekly_views\": 5100000.0, \"runtime\": 1.7333}, {\"show_title\": \"Ice Cold: Murder, Coffee and Jessica Wongso\", \"week\": 2, \"weekly_views\": 2400000.0, \"runtime\": 1.4333}, {\"show_title\": \"Identity Thief\", \"week\": 1, \"weekly_views\": 3900000.0, \"runtime\": 1.85}, {\"show_title\": \"Ilary Blasi: The One and Only\", \"week\": 2, \"weekly_views\": 2200000.0, \"runtime\": 1.35}, {\"show_title\": \"In Love and Deep Water\", \"week\": 1, \"weekly_views\": 1500000.0, \"runtime\": 2.1167}, {\"show_title\": \"In Time\", \"week\": 2, \"weekly_views\": 4350000.0, \"runtime\": 1.8167}, {\"show_title\": \"Infinite\", \"week\": 1, \"weekly_views\": 4900000.0, \"runtime\": 1.7667}, {\"show_title\": \"Instant Daddy\", \"week\": 1, \"weekly_views\": 800000.0, \"runtime\": 1.8833}, {\"show_title\": \"Irish Wish\", \"week\": 3, \"weekly_views\": 18500000.0, \"runtime\": 1.5667}, {\"show_title\": \"Irugapatru\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 2.55}, {\"show_title\": \"Jaane Jaan\", \"week\": 3, \"weekly_views\": 5466666.666666667, \"runtime\": 2.3167}, {\"show_title\": \"Jack Reacher\", \"week\": 1, \"weekly_views\": 3500000.0, \"runtime\": 2.1667}, {\"show_title\": \"Jack Reacher: Never Go Back\", \"week\": 2, \"weekly_views\": 3200000.0, \"runtime\": 1.9667}, {\"show_title\": \"Jagun Jagun\", \"week\": 2, \"weekly_views\": 1850000.0, \"runtime\": 2.25}, {\"show_title\": \"Japan\", \"week\": 1, \"weekly_views\": 900000.0, \"runtime\": 2.5667}, {\"show_title\": \"Jawan: Extended Cut\", \"week\": 4, \"weekly_views\": 3150000.0, \"runtime\": 2.85}, {\"show_title\": \"Jules\", \"week\": 1, \"weekly_views\": 4600000.0, \"runtime\": 1.45}, {\"show_title\": \"Jurassic World: Fallen Kingdom\", \"week\": 1, \"weekly_views\": 4700000.0, \"runtime\": 2.1333}, {\"show_title\": \"Keys to the Heart\", \"week\": 1, \"weekly_views\": 1600000.0, \"runtime\": 1.7167}, {\"show_title\": \"Kho Gaye Hum Kahan\", \"week\": 2, \"weekly_views\": 2300000.0, \"runtime\": 2.25}, {\"show_title\": \"Khufiya\", \"week\": 2, \"weekly_views\": 4150000.0, \"runtime\": 2.65}, {\"show_title\": \"Kill Me If You Dare\", \"week\": 2, \"weekly_views\": 4650000.0, \"runtime\": 1.5667}, {\"show_title\": \"Killer Book Club\", \"week\": 3, \"weekly_views\": 3366666.6666666665, \"runtime\": 1.4833}, {\"show_title\": \"King of Clones\", \"week\": 1, \"weekly_views\": 2000000.0, \"runtime\": 1.4333}, {\"show_title\": \"Kingdom\", \"week\": 2, \"weekly_views\": 2250000.0, \"runtime\": 2.2333}, {\"show_title\": \"Kingdom 3: The Flame of Destiny\", \"week\": 2, \"weekly_views\": 1750000.0, \"runtime\": 2.15}, {\"show_title\": \"Kingdom2: Far and Away\", \"week\": 2, \"weekly_views\": 1750000.0, \"runtime\": 2.2333}, {\"show_title\": \"Last Call for Istanbul\", \"week\": 3, \"weekly_views\": 7100000.0, \"runtime\": 1.5167}, {\"show_title\": \"Last Vegas\", \"week\": 1, \"weekly_views\": 4100000.0, \"runtime\": 1.75}, {\"show_title\": \"Leatherface\", \"week\": 1, \"weekly_views\": 2900000.0, \"runtime\": 1.4667}, {\"show_title\": \"Leave the World Behind\", \"week\": 5, \"weekly_views\": 25760000.0, \"runtime\": 2.3667}, {\"show_title\": \"Leo\", \"week\": 10, \"weekly_views\": 11140000.0, \"runtime\": 1.7833}, {\"show_title\": \"Leo (Hindi)\", \"week\": 1, \"weekly_views\": 2500000.0, \"runtime\": 2.7}, {\"show_title\": \"Life of a King\", \"week\": 1, \"weekly_views\": 6300000.0, \"runtime\": 1.6833}, {\"show_title\": \"Lift\", \"week\": 5, \"weekly_views\": 19780000.0, \"runtime\": 1.7833}, {\"show_title\": \"Locked In\", \"week\": 3, \"weekly_views\": 12033333.333333334, \"runtime\": 1.6167}, {\"show_title\": \"Lone Survivor\", \"week\": 2, \"weekly_views\": 3350000.0, \"runtime\": 2.0167}, {\"show_title\": \"Long Shot\", \"week\": 1, \"weekly_views\": 4200000.0, \"runtime\": 2.0833}, {\"show_title\": \"Lost in the Night\", \"week\": 1, \"weekly_views\": 1800000.0, \"runtime\": 2.05}, {\"show_title\": \"Love Again\", \"week\": 2, \"weekly_views\": 3350000.0, \"runtime\": 1.7333}, {\"show_title\": \"Love Tactics 2\", \"week\": 3, \"weekly_views\": 3700000.0, \"runtime\": 1.6499999999999997}, {\"show_title\": \"Love at First Sight\", \"week\": 3, \"weekly_views\": 12266666.666666666, \"runtime\": 1.5167}, {\"show_title\": \"Love at Second Sight\", \"week\": 1, \"weekly_views\": 900000.0, \"runtime\": 1.9667}, {\"show_title\": \"Love is in the Air\", \"week\": 2, \"weekly_views\": 9450000.0, \"runtime\": 1.4833}, {\"show_title\": \"Lover, Stalker, Killer\", \"week\": 3, \"weekly_views\": 9633333.333333334, \"runtime\": 1.5167}, {\"show_title\": \"Luccas Neto em: O Meu Anivers\\u00e1rio\", \"week\": 1, \"weekly_views\": 1500000.0, \"runtime\": 1.3}, {\"show_title\": \"Lust Stories 2\", \"week\": 3, \"weekly_views\": 2800000.0, \"runtime\": 2.2167}, {\"show_title\": \"Ma\", \"week\": 1, \"weekly_views\": 3500000.0, \"runtime\": 1.65}, {\"show_title\": \"Maamannan (Tamil)\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 2.5833}, {\"show_title\": \"Madagascar\", \"week\": 1, \"weekly_views\": 3300000.0, \"runtime\": 1.4333}, {\"show_title\": \"Mafia Mamma\", \"week\": 1, \"weekly_views\": 2800000.0, \"runtime\": 1.6833}, {\"show_title\": \"Make Me Believe\", \"week\": 5, \"weekly_views\": 4480000.0, \"runtime\": 1.7333000000000003}, {\"show_title\": \"Malbatt: Misi Bakara\", \"week\": 1, \"weekly_views\": 1400000.0, \"runtime\": 2.1833}, {\"show_title\": \"Man on Fire\", \"week\": 1, \"weekly_views\": 3900000.0, \"runtime\": 2.4333}, {\"show_title\": \"Marry My Dead Body\", \"week\": 2, \"weekly_views\": 1550000.0, \"runtime\": 2.1667}, {\"show_title\": \"Mea Culpa\", \"week\": 3, \"weekly_views\": 13200000.0, \"runtime\": 2.0}, {\"show_title\": \"Mean Girls\", \"week\": 2, \"weekly_views\": 4200000.0, \"runtime\": 1.6167}, {\"show_title\": \"Mending the Line\", \"week\": 1, \"weekly_views\": 3400000.0, \"runtime\": 2.0333}, {\"show_title\": \"Merry Christmas (Hindi)\", \"week\": 2, \"weekly_views\": 1350000.0, \"runtime\": 2.4}, {\"show_title\": \"Mindcage\", \"week\": 1, \"weekly_views\": 9100000.0, \"runtime\": 1.6167}, {\"show_title\": \"Minions\", \"week\": 8, \"weekly_views\": 5075000.0, \"runtime\": 1.5167}, {\"show_title\": \"Miraculous: Ladybug & Cat Noir, The Movie\", \"week\": 4, \"weekly_views\": 8500000.0, \"runtime\": 1.7}, {\"show_title\": \"Missing: The Lucie Blackman Case\", \"week\": 2, \"weekly_views\": 6300000.0, \"runtime\": 1.3667}, {\"show_title\": \"Mission Raniganj: The Great Bharat Rescue\", \"week\": 2, \"weekly_views\": 2450000.0, \"runtime\": 2.25}, {\"show_title\": \"Monster High: The Movie\", \"week\": 2, \"weekly_views\": 4250000.0, \"runtime\": 1.4833}, {\"show_title\": \"Monster Hunter\", \"week\": 1, \"weekly_views\": 6100000.0, \"runtime\": 1.7167}, {\"show_title\": \"Mother's Day\", \"week\": 2, \"weekly_views\": 1800000.0, \"runtime\": 1.775}, {\"show_title\": \"Mr. Car and the Knights Templar\", \"week\": 2, \"weekly_views\": 3400000.0, \"runtime\": 1.85}, {\"show_title\": \"Murder Mubarak\", \"week\": 2, \"weekly_views\": 3150000.0, \"runtime\": 2.3667}, {\"show_title\": \"My Name Is Loh Kiwan\", \"week\": 3, \"weekly_views\": 3233333.3333333335, \"runtime\": 2.2167}, {\"show_title\": \"My Name Is Vendetta\", \"week\": 1, \"weekly_views\": 1000000.0, \"runtime\": 1.5333}, {\"show_title\": \"NAGA\", \"week\": 1, \"weekly_views\": 1000000.0, \"runtime\": 1.8833}, {\"show_title\": \"NYAD\", \"week\": 2, \"weekly_views\": 5250000.0, \"runtime\": 2.0167}, {\"show_title\": \"Nimona\", \"week\": 4, \"weekly_views\": 4500000.0, \"runtime\": 1.7167}, {\"show_title\": \"No Hard Feelings\", \"week\": 2, \"weekly_views\": 8450000.0, \"runtime\": 1.7333}, {\"show_title\": \"No Pressure\", \"week\": 1, \"weekly_views\": 9500000.0, \"runtime\": 1.8833}, {\"show_title\": \"No Ritmo da F\\u00e9\", \"week\": 1, \"weekly_views\": 1400000.0, \"runtime\": 1.5333}, {\"show_title\": \"Noah\", \"week\": 2, \"weekly_views\": 3100000.0, \"runtime\": 2.2833}, {\"show_title\": \"Nobody\", \"week\": 1, \"weekly_views\": 6900000.0, \"runtime\": 1.5333}, {\"show_title\": \"Nowhere\", \"week\": 15, \"weekly_views\": 5766666.666666667, \"runtime\": 1.8167}, {\"show_title\": \"OMG 2\", \"week\": 3, \"weekly_views\": 2766666.6666666665, \"runtime\": 2.5833}, {\"show_title\": \"Old\", \"week\": 1, \"weekly_views\": 5600000.0, \"runtime\": 1.8}, {\"show_title\": \"Old Dads\", \"week\": 3, \"weekly_views\": 11533333.333333334, \"runtime\": 1.7333}, {\"show_title\": \"Old Henry\", \"week\": 1, \"weekly_views\": 4900000.0, \"runtime\": 1.65}, {\"show_title\": \"On the Line\", \"week\": 2, \"weekly_views\": 3300000.0, \"runtime\": 1.7333}, {\"show_title\": \"Once Upon a Crime\", \"week\": 3, \"weekly_views\": 3366666.6666666665, \"runtime\": 1.7832999999999999}, {\"show_title\": \"Orion and the Dark\", \"week\": 4, \"weekly_views\": 8350000.0, \"runtime\": 1.55}, {\"show_title\": \"Overhaul\", \"week\": 3, \"weekly_views\": 5066666.666666667, \"runtime\": 1.6666999999999998}, {\"show_title\": \"Pain Hustlers\", \"week\": 4, \"weekly_views\": 9250000.0, \"runtime\": 2.0833}, {\"show_title\": \"Paradise\", \"week\": 7, \"weekly_views\": 5442857.142857143, \"runtime\": 1.9833}, {\"show_title\": \"Paw Patrol: The Movie\", \"week\": 5, \"weekly_views\": 4640000.0, \"runtime\": 1.4333}, {\"show_title\": \"Peter Rabbit 2\", \"week\": 1, \"weekly_views\": 3700000.0, \"runtime\": 1.5667}, {\"show_title\": \"Pinkfong & Baby Shark's Space Adventure\", \"week\": 1, \"weekly_views\": 600000.0, \"runtime\": 1.0833}, {\"show_title\": \"Pirate Dad\", \"week\": 1, \"weekly_views\": 800000.0, \"runtime\": 1.6333}, {\"show_title\": \"Players\", \"week\": 2, \"weekly_views\": 11850000.0, \"runtime\": 1.75}, {\"show_title\": \"Poisoned: The Dirty Truth About Your Food\", \"week\": 1, \"weekly_views\": 5100000.0, \"runtime\": 1.4}, {\"show_title\": \"Pretty Woman\", \"week\": 1, \"weekly_views\": 8400000.0, \"runtime\": 1.9833}, {\"show_title\": \"Prisoners\", \"week\": 1, \"weekly_views\": 2000000.0, \"runtime\": 2.55}, {\"show_title\": \"Puss in Boots: The Last Wish\", \"week\": 3, \"weekly_views\": 5300000.0, \"runtime\": 1.7}, {\"show_title\": \"Queenpins\", \"week\": 2, \"weekly_views\": 3900000.0, \"runtime\": 1.8333}, {\"show_title\": \"Ramabanam\", \"week\": 1, \"weekly_views\": 900000.0, \"runtime\": 2.3167}, {\"show_title\": \"Ransomed\", \"week\": 1, \"weekly_views\": 1300000.0, \"runtime\": 2.2}, {\"show_title\": \"Rebel Moon \\u2014 Part One: A Child of Fire\", \"week\": 4, \"weekly_views\": 18225000.0, \"runtime\": 2.2667}, {\"show_title\": \"Rebound\", \"week\": 1, \"weekly_views\": 1000000.0, \"runtime\": 2.0333}, {\"show_title\": \"Reptile\", \"week\": 5, \"weekly_views\": 12460000.0, \"runtime\": 2.2667}, {\"show_title\": \"Rest In Peace\", \"week\": 1, \"weekly_views\": 5000000.0, \"runtime\": 1.7833}, {\"show_title\": \"Rewind\", \"week\": 1, \"weekly_views\": 3200000.0, \"runtime\": 1.8833}, {\"show_title\": \"Ride Along\", \"week\": 1, \"weekly_views\": 4300000.0, \"runtime\": 1.65}, {\"show_title\": \"River Wild\", \"week\": 2, \"weekly_views\": 3650000.0, \"runtime\": 1.5167}, {\"show_title\": \"Roald Dahl's Matilda The Musical\", \"week\": 1, \"weekly_views\": 2400000.0, \"runtime\": 2.0333}, {\"show_title\": \"Rosa Peral's Tapes\", \"week\": 3, \"weekly_views\": 2500000.0, \"runtime\": 1.3500000000000003}, {\"show_title\": \"Ruby Gillman, Teenage Kraken\", \"week\": 2, \"weekly_views\": 5200000.0, \"runtime\": 1.5167}, {\"show_title\": \"Run Rabbit Run\", \"week\": 2, \"weekly_views\": 7150000.0, \"runtime\": 1.6833}, {\"show_title\": \"Sajini Shinde Ka Viral Video\", \"week\": 2, \"weekly_views\": 1600000.0, \"runtime\": 1.9}, {\"show_title\": \"Salaar\", \"week\": 2, \"weekly_views\": 1750000.0, \"runtime\": 2.9}, {\"show_title\": \"Scary Movie\", \"week\": 1, \"weekly_views\": 3700000.0, \"runtime\": 1.4667}, {\"show_title\": \"Seasons\", \"week\": 3, \"weekly_views\": 1733333.3333333333, \"runtime\": 1.8167}, {\"show_title\": \"See You on Venus\", \"week\": 2, \"weekly_views\": 4800000.0, \"runtime\": 1.5833}, {\"show_title\": \"Shaolin Soccer\", \"week\": 1, \"weekly_views\": 1900000.0, \"runtime\": 1.8667}, {\"show_title\": \"Shark Bait\", \"week\": 2, \"weekly_views\": 4050000.0, \"runtime\": 1.4167}, {\"show_title\": \"Shirley\", \"week\": 2, \"weekly_views\": 3850000.0, \"runtime\": 1.9833}, {\"show_title\": \"Shooter\", \"week\": 2, \"weekly_views\": 3950000.0, \"runtime\": 2.0833}, {\"show_title\": \"Sim\\u00f3n\", \"week\": 1, \"weekly_views\": 1400000.0, \"runtime\": 1.6667}, {\"show_title\": \"Sing\", \"week\": 1, \"weekly_views\": 3600000.0, \"runtime\": 1.8}, {\"show_title\": \"Sister Death\", \"week\": 3, \"weekly_views\": 4533333.333333333, \"runtime\": 1.5167}, {\"show_title\": \"Sixty Minutes\", \"week\": 4, \"weekly_views\": 7650000.0, \"runtime\": 1.5}, {\"show_title\": \"Skyscraper\", \"week\": 1, \"weekly_views\": 4400000.0, \"runtime\": 1.7}, {\"show_title\": \"Sly\", \"week\": 2, \"weekly_views\": 5300000.0, \"runtime\": 1.6}, {\"show_title\": \"Sniper: Assassin's End\", \"week\": 3, \"weekly_views\": 4833333.333333333, \"runtime\": 1.5833000000000002}, {\"show_title\": \"Sniper: Ultimate Kill\", \"week\": 1, \"weekly_views\": 6100000.0, \"runtime\": 1.55}, {\"show_title\": \"Snitch\", \"week\": 2, \"weekly_views\": 3100000.0, \"runtime\": 1.7833}, {\"show_title\": \"Society of the Snow\", \"week\": 12, \"weekly_views\": 8066666.666666667, \"runtime\": 2.4333}, {\"show_title\": \"Sonic the Hedgehog 2\", \"week\": 1, \"weekly_views\": 4000000.0, \"runtime\": 2.0667}, {\"show_title\": \"Soulcatcher\", \"week\": 3, \"weekly_views\": 5833333.333333333, \"runtime\": 1.6666999999999998}, {\"show_title\": \"Spaceman\", \"week\": 3, \"weekly_views\": 7566666.666666667, \"runtime\": 1.8167}, {\"show_title\": \"Spider-Man: Across the Spider-Verse\", \"week\": 2, \"weekly_views\": 6500000.0, \"runtime\": 2.3333}, {\"show_title\": \"Spy Kids\", \"week\": 1, \"weekly_views\": 3700000.0, \"runtime\": 1.4667}, {\"show_title\": \"Spy Kids: Armageddon\", \"week\": 3, \"weekly_views\": 6666666.666666667, \"runtime\": 1.6333}, {\"show_title\": \"Squared Love Everlasting\", \"week\": 2, \"weekly_views\": 3750000.0, \"runtime\": 1.7}, {\"show_title\": \"Stillwater\", \"week\": 1, \"weekly_views\": 5500000.0, \"runtime\": 2.3167}, {\"show_title\": \"Stolen Vacation\", \"week\": 3, \"weekly_views\": 1866666.6666666667, \"runtime\": 1.5332999999999999}, {\"show_title\": \"Street Flow 2\", \"week\": 2, \"weekly_views\": 3050000.0, \"runtime\": 1.6333}, {\"show_title\": \"Street Kings\", \"week\": 1, \"weekly_views\": 5700000.0, \"runtime\": 1.8167}, {\"show_title\": \"Sukhee\", \"week\": 1, \"weekly_views\": 2300000.0, \"runtime\": 2.3}, {\"show_title\": \"Summer Vacation\", \"week\": 2, \"weekly_views\": 3800000.0, \"runtime\": 1.6667}, {\"show_title\": \"Sweet Family\", \"week\": 1, \"weekly_views\": 1800000.0, \"runtime\": 1.6833}, {\"show_title\": \"THE VILLAGE\", \"week\": 2, \"weekly_views\": 1300000.0, \"runtime\": 2.0167}, {\"show_title\": \"Take Care of Maya\", \"week\": 2, \"weekly_views\": 6900000.0, \"runtime\": 1.7333}, {\"show_title\": \"Tammy\", \"week\": 1, \"weekly_views\": 3800000.0, \"runtime\": 1.6}, {\"show_title\": \"Thank You for Coming\", \"week\": 1, \"weekly_views\": 1500000.0, \"runtime\": 1.9667}, {\"show_title\": \"Thank You, I'm Sorry\", \"week\": 3, \"weekly_views\": 2433333.3333333335, \"runtime\": 1.5167}, {\"show_title\": \"Thanksgiving\", \"week\": 1, \"weekly_views\": 4200000.0, \"runtime\": 1.7667}, {\"show_title\": \"The (Almost) Legends\", \"week\": 2, \"weekly_views\": 2850000.0, \"runtime\": 1.6167}, {\"show_title\": \"The Abandoned\", \"week\": 1, \"weekly_views\": 2500000.0, \"runtime\": 1.75}, {\"show_title\": \"The Abyss\", \"week\": 6, \"weekly_views\": 6733333.333333333, \"runtime\": 1.7167000000000001}, {\"show_title\": \"The Accountant\", \"week\": 1, \"weekly_views\": 6200000.0, \"runtime\": 2.1333}, {\"show_title\": \"The Angry Birds Movie\", \"week\": 1, \"weekly_views\": 2600000.0, \"runtime\": 1.6333}, {\"show_title\": \"The Archies\", \"week\": 2, \"weekly_views\": 1750000.0, \"runtime\": 2.4}, {\"show_title\": \"The Back-Up Plan\", \"week\": 1, \"weekly_views\": 3500000.0, \"runtime\": 1.7333}, {\"show_title\": \"The Beast\", \"week\": 1, \"weekly_views\": 1000000.0, \"runtime\": 1.6667}, {\"show_title\": \"The Black Book\", \"week\": 3, \"weekly_views\": 6833333.333333333, \"runtime\": 2.0667}, {\"show_title\": \"The Boss Baby\", \"week\": 6, \"weekly_views\": 3966666.6666666665, \"runtime\": 1.6333}, {\"show_title\": \"The Boss Baby: Family Business\", \"week\": 1, \"weekly_views\": 5900000.0, \"runtime\": 1.7833}, {\"show_title\": \"The Burning Sea\", \"week\": 1, \"weekly_views\": 2800000.0, \"runtime\": 1.7667}, {\"show_title\": \"The Casagrandes Movie\", \"week\": 2, \"weekly_views\": 4150000.0, \"runtime\": 1.4167}, {\"show_title\": \"The Christmas Chronicles\", \"week\": 2, \"weekly_views\": 3200000.0, \"runtime\": 1.75}, {\"show_title\": \"The Claus Family 3\", \"week\": 2, \"weekly_views\": 2100000.0, \"runtime\": 1.2167}, {\"show_title\": \"The Conference\", \"week\": 2, \"weekly_views\": 7050000.0, \"runtime\": 1.6667}, {\"show_title\": \"The Croods\", \"week\": 3, \"weekly_views\": 3733333.3333333335, \"runtime\": 1.6333}, {\"show_title\": \"The Croods: A New Age\", \"week\": 2, \"weekly_views\": 7200000.0, \"runtime\": 1.5833}, {\"show_title\": \"The Deep House\", \"week\": 1, \"weekly_views\": 2900000.0, \"runtime\": 1.3667}, {\"show_title\": \"The Deepest Breath\", \"week\": 2, \"weekly_views\": 4050000.0, \"runtime\": 1.8333}, {\"show_title\": \"The Devil Wears Prada\", \"week\": 2, \"weekly_views\": 3850000.0, \"runtime\": 1.8167}, {\"show_title\": \"The Devil on Trial\", \"week\": 1, \"weekly_views\": 8000000.0, \"runtime\": 1.3667}, {\"show_title\": \"The Equalizer 3\", \"week\": 4, \"weekly_views\": 7175000.0, \"runtime\": 1.8167}, {\"show_title\": \"The Fast and the Furious\", \"week\": 1, \"weekly_views\": 6300000.0, \"runtime\": 1.7667}, {\"show_title\": \"The Fate of the Furious\", \"week\": 1, \"weekly_views\": 6000000.0, \"runtime\": 2.2667}, {\"show_title\": \"The Favourite\", \"week\": 1, \"weekly_views\": 4300000.0, \"runtime\": 2.0167}, {\"show_title\": \"The Forever Purge\", \"week\": 1, \"weekly_views\": 4500000.0, \"runtime\": 1.7167}, {\"show_title\": \"The Great Seduction\", \"week\": 4, \"weekly_views\": 2775000.0, \"runtime\": 1.6}, {\"show_title\": \"The Greatest Night in Pop\", \"week\": 2, \"weekly_views\": 8500000.0, \"runtime\": 1.6167}, {\"show_title\": \"The Heartbreak Agency\", \"week\": 1, \"weekly_views\": 1600000.0, \"runtime\": 1.6}, {\"show_title\": \"The Hill\", \"week\": 2, \"weekly_views\": 4750000.0, \"runtime\": 2.1167}, {\"show_title\": \"The Killer\", \"week\": 4, \"weekly_views\": 15650000.0, \"runtime\": 2.0}, {\"show_title\": \"The Kitchen\", \"week\": 2, \"weekly_views\": 6650000.0, \"runtime\": 1.8167}, {\"show_title\": \"The Lady of Silence: The Mataviejitas Murders\", \"week\": 2, \"weekly_views\": 2100000.0, \"runtime\": 1.85}, {\"show_title\": \"The Legend of Tarzan\", \"week\": 2, \"weekly_views\": 6000000.0, \"runtime\": 1.8333}, {\"show_title\": \"The Lost City\", \"week\": 1, \"weekly_views\": 3100000.0, \"runtime\": 1.8667}, {\"show_title\": \"The Machine\", \"week\": 1, \"weekly_views\": 3100000.0, \"runtime\": 1.8667}, {\"show_title\": \"The Marine\", \"week\": 1, \"weekly_views\": 5000000.0, \"runtime\": 1.5167}, {\"show_title\": \"The Monkey King\", \"week\": 3, \"weekly_views\": 9700000.0, \"runtime\": 1.6167}, {\"show_title\": \"The Mother\", \"week\": 1, \"weekly_views\": 2800000.0, \"runtime\": 1.95}, {\"show_title\": \"The Mule\", \"week\": 1, \"weekly_views\": 5400000.0, \"runtime\": 1.7}, {\"show_title\": \"The Murderer\", \"week\": 1, \"weekly_views\": 1100000.0, \"runtime\": 2.0167}, {\"show_title\": \"The Out-Laws\", \"week\": 4, \"weekly_views\": 16450000.0, \"runtime\": 1.6167}, {\"show_title\": \"The Parades\", \"week\": 1, \"weekly_views\": 1100000.0, \"runtime\": 2.2167}, {\"show_title\": \"The Perfect Find\", \"week\": 2, \"weekly_views\": 9000000.0, \"runtime\": 1.6667}, {\"show_title\": \"The Pig, the Snake and the Pigeon\", \"week\": 2, \"weekly_views\": 1450000.0, \"runtime\": 2.2333}, {\"show_title\": \"The Pope's Exorcist\", \"week\": 3, \"weekly_views\": 4300000.0, \"runtime\": 1.7333}, {\"show_title\": \"The Postcard Killings\", \"week\": 1, \"weekly_views\": 4900000.0, \"runtime\": 1.7333}, {\"show_title\": \"The Proposal\", \"week\": 1, \"weekly_views\": 4900000.0, \"runtime\": 1.7833}, {\"show_title\": \"The Quake\", \"week\": 2, \"weekly_views\": 3650000.0, \"runtime\": 1.7167}, {\"show_title\": \"The Queenstown Kings\", \"week\": 1, \"weekly_views\": 1600000.0, \"runtime\": 2.2833}, {\"show_title\": \"The Raid: Redemption\", \"week\": 1, \"weekly_views\": 1200000.0, \"runtime\": 1.6833}, {\"show_title\": \"The Rope Curse 3\", \"week\": 1, \"weekly_views\": 800000.0, \"runtime\": 1.8167}, {\"show_title\": \"The Seven Deadly Sins: Grudge of Edinburgh Part 2\", \"week\": 1, \"weekly_views\": 3100000.0, \"runtime\": 0.9}, {\"show_title\": \"The Silencing\", \"week\": 1, \"weekly_views\": 3700000.0, \"runtime\": 1.5667}, {\"show_title\": \"The Super Mario Bros. Movie\", \"week\": 14, \"weekly_views\": 5357142.857142857, \"runtime\": 1.5333}, {\"show_title\": \"The Takedown\", \"week\": 1, \"weekly_views\": 1300000.0, \"runtime\": 2.0167}, {\"show_title\": \"The Taming of the Shrewd 2\", \"week\": 2, \"weekly_views\": 1650000.0, \"runtime\": 1.6667}, {\"show_title\": \"The Three Musketeers: D'Artagnan\", \"week\": 2, \"weekly_views\": 1750000.0, \"runtime\": 2.0167}, {\"show_title\": \"The Tutor\", \"week\": 1, \"weekly_views\": 3200000.0, \"runtime\": 1.55}, {\"show_title\": \"The Vow\", \"week\": 1, \"weekly_views\": 3800000.0, \"runtime\": 1.7333}, {\"show_title\": \"The Wages of Fear\", \"week\": 1, \"weekly_views\": 11000000.0, \"runtime\": 1.7667}, {\"show_title\": \"The Wolf of Wall Street\", \"week\": 1, \"weekly_views\": 3200000.0, \"runtime\": 3.0}, {\"show_title\": \"The Wonder Weeks\", \"week\": 2, \"weekly_views\": 2850000.0, \"runtime\": 1.5167}, {\"show_title\": \"There Is a What-If\", \"week\": 1, \"weekly_views\": 2000000.0, \"runtime\": 1.6}, {\"show_title\": \"They Cloned Tyrone\", \"week\": 3, \"weekly_views\": 7000000.0, \"runtime\": 2.0667}, {\"show_title\": \"Those Who Wish Me Dead\", \"week\": 1, \"weekly_views\": 5200000.0, \"runtime\": 1.6667}, {\"show_title\": \"Through My Window\", \"week\": 5, \"weekly_views\": 2060000.0, \"runtime\": 1.9}, {\"show_title\": \"Through My Window 2: Across the Sea\", \"week\": 6, \"weekly_views\": 5533333.333333333, \"runtime\": 1.8667}, {\"show_title\": \"Through My Window 3: Looking at You\", \"week\": 5, \"weekly_views\": 5540000.0, \"runtime\": 1.75}, {\"show_title\": \"Tin & Tina\", \"week\": 2, \"weekly_views\": 1950000.0, \"runtime\": 2.0}, {\"show_title\": \"To Kill a Tiger\", \"week\": 1, \"weekly_views\": 1100000.0, \"runtime\": 2.1333}, {\"show_title\": \"Top Gun: Maverick\", \"week\": 2, \"weekly_views\": 4700000.0, \"runtime\": 2.1667}, {\"show_title\": \"Transporter 2\", \"week\": 1, \"weekly_views\": 5800000.0, \"runtime\": 1.4667}, {\"show_title\": \"Triple Frontier\", \"week\": 1, \"weekly_views\": 3600000.0, \"runtime\": 2.1}, {\"show_title\": \"Turbo\", \"week\": 1, \"weekly_views\": 2700000.0, \"runtime\": 1.6}, {\"show_title\": \"Twenty-Something, Divorced and Fabulous\", \"week\": 2, \"weekly_views\": 2550000.0, \"runtime\": 1.5833}, {\"show_title\": \"Tyler Perry's The Single Moms Club\", \"week\": 1, \"weekly_views\": 4600000.0, \"runtime\": 1.85}, {\"show_title\": \"Tyson's Run\", \"week\": 1, \"weekly_views\": 3100000.0, \"runtime\": 1.7167}, {\"show_title\": \"Underwater\", \"week\": 1, \"weekly_views\": 5800000.0, \"runtime\": 1.5833}, {\"show_title\": \"Unknown: Cave of Bones\", \"week\": 1, \"weekly_views\": 6500000.0, \"runtime\": 1.5833}, {\"show_title\": \"Unknown: Cosmic Time Machine\", \"week\": 1, \"weekly_views\": 5200000.0, \"runtime\": 1.0833}, {\"show_title\": \"Unknown: Killer Robots\", \"week\": 1, \"weekly_views\": 2700000.0, \"runtime\": 1.1667}, {\"show_title\": \"Unknown: The Lost Pyramid\", \"week\": 1, \"weekly_views\": 5600000.0, \"runtime\": 1.4}, {\"show_title\": \"Untold: Hall of Shame\", \"week\": 1, \"weekly_views\": 3000000.0, \"runtime\": 1.3}, {\"show_title\": \"Untold: Jake Paul the Problem Child\", \"week\": 1, \"weekly_views\": 3300000.0, \"runtime\": 1.2}, {\"show_title\": \"Untold: Johnny Football\", \"week\": 2, \"weekly_views\": 5250000.0, \"runtime\": 1.2}, {\"show_title\": \"WHAM!\", \"week\": 1, \"weekly_views\": 4400000.0, \"runtime\": 1.5333}, {\"show_title\": \"WILL\", \"week\": 2, \"weekly_views\": 3000000.0, \"runtime\": 1.9}, {\"show_title\": \"What Happens in Vegas\", \"week\": 1, \"weekly_views\": 4600000.0, \"runtime\": 1.65}, {\"show_title\": \"What If\", \"week\": 1, \"weekly_views\": 800000.0, \"runtime\": 1.8667}, {\"show_title\": \"What Men Want\", \"week\": 2, \"weekly_views\": 4650000.0, \"runtime\": 1.95}, {\"show_title\": \"Wild\", \"week\": 1, \"weekly_views\": 3800000.0, \"runtime\": 1.9333}, {\"show_title\": \"Wingwomen\", \"week\": 4, \"weekly_views\": 9150000.0, \"runtime\": 1.9333}, {\"show_title\": \"Women on the Edge\", \"week\": 3, \"weekly_views\": 1500000.0, \"runtime\": 1.5833000000000002}, {\"show_title\": \"Woody Woodpecker\", \"week\": 2, \"weekly_views\": 3850000.0, \"runtime\": 1.5167}, {\"show_title\": \"Xtreme\", \"week\": 2, \"weekly_views\": 1200000.0, \"runtime\": 1.8667}, {\"show_title\": \"You Are Not Alone: Fighting the Wolf Pack\", \"week\": 2, \"weekly_views\": 1700000.0, \"runtime\": 1.7}, {\"show_title\": \"You Are So Not Invited to My Bat Mitzvah\", \"week\": 5, \"weekly_views\": 9960000.0, \"runtime\": 1.7333000000000003}, {\"show_title\": \"You Do You\", \"week\": 3, \"weekly_views\": 4133333.3333333335, \"runtime\": 1.6833}, {\"show_title\": \"Zom 100: Bucket List of the Dead\", \"week\": 4, \"weekly_views\": 3900000.0, \"runtime\": 2.15}, {\"show_title\": \"iNumber Number: Jozi Gold\", \"week\": 3, \"weekly_views\": 2733333.3333333335, \"runtime\": 1.8999999999999997}, {\"show_title\": \"maboroshi\", \"week\": 1, \"weekly_views\": 1300000.0, \"runtime\": 1.85}, {\"show_title\": \"\\u00ccj\\u1ecd\\u0300gb\\u1ecd\\u0300n\", \"week\": 2, \"weekly_views\": 2550000.0, \"runtime\": 1.9333}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ],
            "text/plain": [
              "alt.Chart(...)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Subquestion\n",
        "**Does the runtime of the top 50 Netflix films influence their weekly viewership?**"
      ],
      "metadata": {
        "id": "VESawNzjUDXS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Sort values from most to least appeared in the top 10 rankings\n",
        "longest_in_top_10 = films_grouped.sort_values('week', ascending=False)\n",
        "\n",
        "# Take the top 50 films that appeared the most in the top 10 rankings\n",
        "top_50 = longest_in_top_10.head(50)\n",
        "\n",
        "# Plot\n",
        "scatterplot = alt.Chart(top_50).mark_circle(size=100).encode(\n",
        "    x=alt.X('runtime', title='Runtime (in hours)'),\n",
        "    y=alt.Y('weekly_views', title='Weekly Views (in hours)'),\n",
        "    tooltip=[\n",
        "        alt.Tooltip('runtime:Q', title='Runtime (in hours)'),\n",
        "        alt.Tooltip('weekly_views:Q', title=\"Weekly Views (in hours)\", format=','),\n",
        "        alt.Tooltip('show_title:N', title='Film Title'),\n",
        "    ]\n",
        ").properties(\n",
        "    title='Runtime vs. Weekly Viewership of the Top 50 Netflix Films (2023-2024)',\n",
        "    width=600,\n",
        "    height=500\n",
        ").interactive()\n",
        "\n",
        "# View Plot\n",
        "scatterplot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 586
        },
        "id": "BRl8CxetVBrx",
        "outputId": "a2c1fc4b-4b9a-4359-f695-46b97fb89b0f"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "<div id=\"altair-viz-1e89b6f89cb74d4180215ec63dcc4b83\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-1e89b6f89cb74d4180215ec63dcc4b83\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-1e89b6f89cb74d4180215ec63dcc4b83\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function maybeLoadScript(lib, version) {\n",
              "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
              "      return (VEGA_DEBUG[key] == version) ?\n",
              "        Promise.resolve(paths[lib]) :\n",
              "        new Promise(function(resolve, reject) {\n",
              "          var s = document.createElement('script');\n",
              "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "          s.async = true;\n",
              "          s.onload = () => {\n",
              "            VEGA_DEBUG[key] = version;\n",
              "            return resolve(paths[lib]);\n",
              "          };\n",
              "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "          s.src = paths[lib];\n",
              "        });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else {\n",
              "      maybeLoadScript(\"vega\", \"5\")\n",
              "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
              "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-7299ed7c45a8b9225ee4812b683ed23f\"}, \"mark\": {\"type\": \"circle\", \"size\": 100}, \"encoding\": {\"tooltip\": [{\"field\": \"runtime\", \"title\": \"Runtime (in hours)\", \"type\": \"quantitative\"}, {\"field\": \"weekly_views\", \"format\": \",\", \"title\": \"Weekly Views (in hours)\", \"type\": \"quantitative\"}, {\"field\": \"show_title\", \"title\": \"Film Title\", \"type\": \"nominal\"}], \"x\": {\"field\": \"runtime\", \"title\": \"Runtime (in hours)\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"weekly_views\", \"title\": \"Weekly Views (in hours)\", \"type\": \"quantitative\"}}, \"height\": 500, \"selection\": {\"selector002\": {\"type\": \"interval\", \"bind\": \"scales\", \"encodings\": [\"x\", \"y\"]}}, \"title\": \"Runtime vs. Weekly Viewership of the Top 50 Netflix Films (2023-2024)\", \"width\": 600, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-7299ed7c45a8b9225ee4812b683ed23f\": [{\"show_title\": \"Nowhere\", \"week\": 15, \"weekly_views\": 5766666.666666667, \"runtime\": 1.8167}, {\"show_title\": \"The Super Mario Bros. Movie\", \"week\": 14, \"weekly_views\": 5357142.857142857, \"runtime\": 1.5333}, {\"show_title\": \"Society of the Snow\", \"week\": 12, \"weekly_views\": 8066666.666666667, \"runtime\": 2.4333}, {\"show_title\": \"Leo\", \"week\": 10, \"weekly_views\": 11140000.0, \"runtime\": 1.7833}, {\"show_title\": \"Forgotten Love\", \"week\": 8, \"weekly_views\": 4850000.0, \"runtime\": 2.3333}, {\"show_title\": \"Minions\", \"week\": 8, \"weekly_views\": 5075000.0, \"runtime\": 1.5167}, {\"show_title\": \"Paradise\", \"week\": 7, \"weekly_views\": 5442857.142857143, \"runtime\": 1.9833}, {\"show_title\": \"Extraction 2\", \"week\": 7, \"weekly_views\": 17614285.714285713, \"runtime\": 2.0667}, {\"show_title\": \"Dr. Seuss' The Grinch\", \"week\": 7, \"weekly_views\": 3771428.5714285714, \"runtime\": 1.4333000000000002}, {\"show_title\": \"The Abyss\", \"week\": 6, \"weekly_views\": 6733333.333333333, \"runtime\": 1.7167000000000001}, {\"show_title\": \"The Boss Baby\", \"week\": 6, \"weekly_views\": 3966666.6666666665, \"runtime\": 1.6333}, {\"show_title\": \"Ballerina\", \"week\": 6, \"weekly_views\": 5866666.666666667, \"runtime\": 1.5528000000000002}, {\"show_title\": \"Through My Window 2: Across the Sea\", \"week\": 6, \"weekly_views\": 5533333.333333333, \"runtime\": 1.8667}, {\"show_title\": \"Through My Window 3: Looking at You\", \"week\": 5, \"weekly_views\": 5540000.0, \"runtime\": 1.75}, {\"show_title\": \"Despicable Me 3\", \"week\": 5, \"weekly_views\": 8220000.0, \"runtime\": 1.5}, {\"show_title\": \"Reptile\", \"week\": 5, \"weekly_views\": 12460000.0, \"runtime\": 2.2667}, {\"show_title\": \"Paw Patrol: The Movie\", \"week\": 5, \"weekly_views\": 4640000.0, \"runtime\": 1.4333}, {\"show_title\": \"A Beautiful Life\", \"week\": 5, \"weekly_views\": 1880000.0, \"runtime\": 1.6667}, {\"show_title\": \"Heart of Stone\", \"week\": 5, \"weekly_views\": 18380000.0, \"runtime\": 2.1}, {\"show_title\": \"Through My Window\", \"week\": 5, \"weekly_views\": 2060000.0, \"runtime\": 1.9}, {\"show_title\": \"Lift\", \"week\": 5, \"weekly_views\": 19780000.0, \"runtime\": 1.7833}, {\"show_title\": \"Leave the World Behind\", \"week\": 5, \"weekly_views\": 25760000.0, \"runtime\": 2.3667}, {\"show_title\": \"You Are So Not Invited to My Bat Mitzvah\", \"week\": 5, \"weekly_views\": 9960000.0, \"runtime\": 1.7333000000000003}, {\"show_title\": \"Make Me Believe\", \"week\": 5, \"weekly_views\": 4480000.0, \"runtime\": 1.7333000000000003}, {\"show_title\": \"The Great Seduction\", \"week\": 4, \"weekly_views\": 2775000.0, \"runtime\": 1.6}, {\"show_title\": \"The Out-Laws\", \"week\": 4, \"weekly_views\": 16450000.0, \"runtime\": 1.6167}, {\"show_title\": \"Gold Brick\", \"week\": 4, \"weekly_views\": 3350000.0, \"runtime\": 1.6167}, {\"show_title\": \"Rebel Moon \\u2014 Part One: A Child of Fire\", \"week\": 4, \"weekly_views\": 18225000.0, \"runtime\": 2.2667}, {\"show_title\": \"Burning Betrayal\", \"week\": 4, \"weekly_views\": 6425000.0, \"runtime\": 1.65}, {\"show_title\": \"The Killer\", \"week\": 4, \"weekly_views\": 15650000.0, \"runtime\": 2.0}, {\"show_title\": \"Family Switch\", \"week\": 4, \"weekly_views\": 14150000.0, \"runtime\": 1.7667}, {\"show_title\": \"Chicken Run: Dawn of the Nugget\", \"week\": 4, \"weekly_views\": 9925000.0, \"runtime\": 1.7}, {\"show_title\": \"The Equalizer 3\", \"week\": 4, \"weekly_views\": 7175000.0, \"runtime\": 1.8167}, {\"show_title\": \"Sixty Minutes\", \"week\": 4, \"weekly_views\": 7650000.0, \"runtime\": 1.5}, {\"show_title\": \"Cold Pursuit\", \"week\": 4, \"weekly_views\": 5475000.0, \"runtime\": 1.9667}, {\"show_title\": \"A Deadly Invitation\", \"week\": 4, \"weekly_views\": 1800000.0, \"runtime\": 1.55}, {\"show_title\": \"Damsel\", \"week\": 4, \"weekly_views\": 28975000.0, \"runtime\": 1.8333}, {\"show_title\": \"Despicable Me 2\", \"week\": 4, \"weekly_views\": 5850000.0, \"runtime\": 1.6333}, {\"show_title\": \"Bird Box Barcelona\", \"week\": 4, \"weekly_views\": 10725000.0, \"runtime\": 1.8667}, {\"show_title\": \"Miraculous: Ladybug & Cat Noir, The Movie\", \"week\": 4, \"weekly_views\": 8500000.0, \"runtime\": 1.7}, {\"show_title\": \"Jawan: Extended Cut\", \"week\": 4, \"weekly_views\": 3150000.0, \"runtime\": 2.85}, {\"show_title\": \"Badland Hunters\", \"week\": 4, \"weekly_views\": 10250000.0, \"runtime\": 1.8167}, {\"show_title\": \"Zom 100: Bucket List of the Dead\", \"week\": 4, \"weekly_views\": 3900000.0, \"runtime\": 2.15}, {\"show_title\": \"Nimona\", \"week\": 4, \"weekly_views\": 4500000.0, \"runtime\": 1.7167}, {\"show_title\": \"Pain Hustlers\", \"week\": 4, \"weekly_views\": 9250000.0, \"runtime\": 2.0833}, {\"show_title\": \"Orion and the Dark\", \"week\": 4, \"weekly_views\": 8350000.0, \"runtime\": 1.55}, {\"show_title\": \"Hidden Strike\", \"week\": 4, \"weekly_views\": 14200000.0, \"runtime\": 1.7167}, {\"show_title\": \"Wingwomen\", \"week\": 4, \"weekly_views\": 9150000.0, \"runtime\": 1.9333}, {\"show_title\": \"Extraction\", \"week\": 3, \"weekly_views\": 9800000.0, \"runtime\": 1.9667000000000001}, {\"show_title\": \"Last Call for Istanbul\", \"week\": 3, \"weekly_views\": 7100000.0, \"runtime\": 1.5167}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ],
            "text/plain": [
              "alt.Chart(...)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Question 2"
      ],
      "metadata": {
        "id": "w6wYuyoPSTmA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Is viewership for Netflix films the highest during the winter compared to all other calendar seasons?**"
      ],
      "metadata": {
        "id": "vgKJ4pGyS7kC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert the 'week' column to datetime format\n",
        "films['week'] = pd.to_datetime(films['week'])\n",
        "\n",
        "# Define a dictionary mapping months to seasons\n",
        "seasons = {\n",
        "    'Winter': (12,1,2), # December, January, February\n",
        "    'Spring': (3,4,5),  # March, April, May\n",
        "    'Summer': (6,7,8),  # June, July, August\n",
        "    'Fall'  : (9,10,11) # September, October, November\n",
        "}\n",
        "\n",
        "# Function to determine the season based on the month\n",
        "def get_season(month):\n",
        "  for season, months in seasons.items():\n",
        "    if month in months:\n",
        "      return season\n",
        "\n",
        "# Create a new column 'season' based on the month, mapping it to its corresponding season\n",
        "films['season'] = films['week'].dt.month.map(get_season)\n",
        "\n",
        "# Calculate the total weekly viewership per season\n",
        "seasonal_viewership = films.groupby(['season'])['weekly_views'].sum().reset_index()\n",
        "\n",
        "# Plotting\n",
        "chart = alt.Chart(seasonal_viewership).mark_bar().encode(\n",
        "    x=alt.X('season', title='Calendar Season', axis=alt.Axis(labelAngle=0)),\n",
        "    y=alt.Y('weekly_views', title='Total Viewership'),\n",
        "    color=alt.condition(\n",
        "        alt.datum.season=='Winter',\n",
        "        alt.value('steelblue'),\n",
        "        alt.value('gray')\n",
        "    ),\n",
        "    tooltip=[\n",
        "        alt.Tooltip('season:N', title='Calendar Season'),\n",
        "        alt.Tooltip('weekly_views:Q', title=\"Total Viewership\", format=',')\n",
        "    ]\n",
        ").properties(\n",
        "    title='Total Viewership Per Calendar Season of Netflix Films (2021-)',\n",
        "    width=600,\n",
        "    height=500\n",
        ")\n",
        "\n",
        "# View plot\n",
        "chart"
      ],
      "metadata": {
        "id": "qxip7vUETeOd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 826
        },
        "outputId": "7c8f682e-701d-4047-dade-344b3c0008c0"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-6-3dff3bb77c88>:2: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  films['week'] = pd.to_datetime(films['week'])\n",
            "<ipython-input-6-3dff3bb77c88>:19: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  films['season'] = films['week'].dt.month.map(get_season)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "<div id=\"altair-viz-f2faea0a1a094a1a9bee4e4e5b856a14\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
              "  (function(spec, embedOpt){\n",
              "    let outputDiv = document.currentScript.previousElementSibling;\n",
              "    if (outputDiv.id !== \"altair-viz-f2faea0a1a094a1a9bee4e4e5b856a14\") {\n",
              "      outputDiv = document.getElementById(\"altair-viz-f2faea0a1a094a1a9bee4e4e5b856a14\");\n",
              "    }\n",
              "    const paths = {\n",
              "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
              "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
              "    };\n",
              "\n",
              "    function maybeLoadScript(lib, version) {\n",
              "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
              "      return (VEGA_DEBUG[key] == version) ?\n",
              "        Promise.resolve(paths[lib]) :\n",
              "        new Promise(function(resolve, reject) {\n",
              "          var s = document.createElement('script');\n",
              "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
              "          s.async = true;\n",
              "          s.onload = () => {\n",
              "            VEGA_DEBUG[key] = version;\n",
              "            return resolve(paths[lib]);\n",
              "          };\n",
              "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
              "          s.src = paths[lib];\n",
              "        });\n",
              "    }\n",
              "\n",
              "    function showError(err) {\n",
              "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
              "      throw err;\n",
              "    }\n",
              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
              "    }\n",
              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
              "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
              "    } else {\n",
              "      maybeLoadScript(\"vega\", \"5\")\n",
              "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
              "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-73cc2008d654d624121fa1545d365a8c\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"condition\": {\"value\": \"steelblue\", \"test\": \"(datum.season === 'Winter')\"}, \"value\": \"gray\"}, \"tooltip\": [{\"field\": \"season\", \"title\": \"Calendar Season\", \"type\": \"nominal\"}, {\"field\": \"weekly_views\", \"format\": \",\", \"title\": \"Total Viewership\", \"type\": \"quantitative\"}], \"x\": {\"axis\": {\"labelAngle\": 0}, \"field\": \"season\", \"title\": \"Calendar Season\", \"type\": \"nominal\"}, \"y\": {\"field\": \"weekly_views\", \"title\": \"Total Viewership\", \"type\": \"quantitative\"}}, \"height\": 500, \"title\": \"Total Viewership Per Calendar Season of Netflix Films (2021-)\", \"width\": 600, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-73cc2008d654d624121fa1545d365a8c\": [{\"season\": \"Fall\", \"weekly_views\": 1354000000.0}, {\"season\": \"Spring\", \"weekly_views\": 547600000.0}, {\"season\": \"Summer\", \"weekly_views\": 1180800000.0}, {\"season\": \"Winter\", \"weekly_views\": 1553100000.0}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ],
            "text/plain": [
              "alt.Chart(...)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "KkVsHkU3jnm3"
      },
      "execution_count": 6,
      "outputs": []
    }
  ]
}