Movie_Recommender_System_Content_Base.ipynb

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      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/ImeshaDilshani/Movie-Recommender-System/blob/main/Movie_Recommender_System_Content_Base.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vZcmrMc_bAz-"
      },
      "source": [
        "# Movie Recommender System | Content Base"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hIkUsWzmcMH-"
      },
      "source": [
        "# Data Collection"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 213,
      "metadata": {
        "id": "iHL6tiLIggmm"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vDASjLO5hAgM"
      },
      "source": [
        "Data Set from Kaggle\n",
        "\n",
        "*   Link here - https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lq_ITHtwebMX"
      },
      "source": [
        "To open a dataset on Google Colab\n",
        "\n",
        "1.   Upload Dataset from Local System\n",
        "2.   Load Dataset from Google Drive\n",
        "3.   Download Dataset from a URL\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UK5r3RYxfEQG"
      },
      "source": [
        "Method 2: Load Dataset from Google Drive"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 214,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jCFbJNbjcQEN",
        "outputId": "77814f35-8794-4cf3-f210-3a1be8f63f72"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 215,
      "metadata": {
        "id": "nwFVH4OinsYd"
      },
      "outputs": [],
      "source": [
        "movies_file_path = '/content/drive/My Drive/data science/Movie Recommendation System/tmdb_5000_movies.csv'\n",
        "credit_file_path = '/content/drive/My Drive/data science/Movie Recommendation System/tmdb_5000_credits.csv'\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 216,
      "metadata": {
        "id": "9jzNNWbN5Qm5"
      },
      "outputs": [],
      "source": [
        "movies = pd.read_csv(movies_file_path)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 217,
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        "id": "x11cNwqB6AKT",
        "outputId": "d4c9202b-c4c3-49f5-c159-36a0b48e4bae"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      budget                                             genres  \\\n",
              "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
              "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "\n",
              "                                       homepage      id  \\\n",
              "0                   http://www.avatarmovie.com/   19995   \n",
              "1  http://disney.go.com/disneypictures/pirates/     285   \n",
              "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
              "3            http://www.thedarkknightrises.com/   49026   \n",
              "4          http://movies.disney.com/john-carter   49529   \n",
              "\n",
              "                                            keywords original_language  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
              "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
              "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
              "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
              "\n",
              "                             original_title  \\\n",
              "0                                    Avatar   \n",
              "1  Pirates of the Caribbean: At World's End   \n",
              "2                                   Spectre   \n",
              "3                     The Dark Knight Rises   \n",
              "4                               John Carter   \n",
              "\n",
              "                                            overview  popularity  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
              "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
              "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
              "3  Following the death of District Attorney Harve...  112.312950   \n",
              "4  John Carter is a war-weary, former military ca...   43.926995   \n",
              "\n",
              "                                production_companies  \\\n",
              "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
              "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
              "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
              "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   \n",
              "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   \n",
              "\n",
              "                                production_countries release_date     revenue  \\\n",
              "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087   \n",
              "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   961000000   \n",
              "2  [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...   2015-10-26   880674609   \n",
              "3  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-07-16  1084939099   \n",
              "4  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-03-07   284139100   \n",
              "\n",
              "   runtime                                   spoken_languages    status  \\\n",
              "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
              "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
              "3    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "4    132.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "\n",
              "                                          tagline  \\\n",
              "0                     Enter the World of Pandora.   \n",
              "1  At the end of the world, the adventure begins.   \n",
              "2                           A Plan No One Escapes   \n",
              "3                                 The Legend Ends   \n",
              "4            Lost in our world, found in another.   \n",
              "\n",
              "                                      title  vote_average  vote_count  \n",
              "0                                    Avatar           7.2       11800  \n",
              "1  Pirates of the Caribbean: At World's End           6.9        4500  \n",
              "2                                   Spectre           6.3        4466  \n",
              "3                     The Dark Knight Rises           7.6        9106  \n",
              "4                               John Carter           6.1        2124  "
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              "\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-3f8a03ee-ee3e-452d-847c-6f72ac02863e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4803,\n  \"fields\": [\n    {\n      \"column\": \"budget\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 40722391,\n        \"min\": 0,\n        \"max\": 380000000,\n        \"num_unique_values\": 436,\n        \"samples\": [\n          439000,\n          68000000,\n          700000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1175,\n        \"samples\": [\n          \"[{\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 12, \\\"name\\\": \\\"Adventure\\\"}, {\\\"id\\\": 16, \\\"name\\\": \\\"Animation\\\"}]\",\n          \"[{\\\"id\\\": 28, \\\"name\\\": \\\"Action\\\"}, {\\\"id\\\": 35, \\\"name\\\": \\\"Comedy\\\"}, {\\\"id\\\": 80, \\\"name\\\": \\\"Crime\\\"}, {\\\"id\\\": 18, \\\"name\\\": \\\"Drama\\\"}]\",\n          \"[{\\\"id\\\": 12, \\\"name\\\": \\\"Adventure\\\"}, {\\\"id\\\": 16, \\\"name\\\": \\\"Animation\\\"}, {\\\"id\\\": 10751, \\\"name\\\": \\\"Family\\\"}, {\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 878, \\\"name\\\": \\\"Science Fiction\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"homepage\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1691,\n        \"samples\": [\n          \"https://www.warnerbros.com/running-scared\",\n          \"http://www.51birchstreet.com/index.php\",\n          \"http://movies2.foxjapan.com/glee/\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88694,\n        \"min\": 5,\n        \"max\": 459488,\n        \"num_unique_values\": 4803,\n        \"samples\": [\n          8427,\n          13006,\n          18041\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4222,\n        \"samples\": [\n          \"[{\\\"id\\\": 782, \\\"name\\\": \\\"assassin\\\"}, {\\\"id\\\": 1872, \\\"name\\\": \\\"loss of father\\\"}, {\\\"id\\\": 2908, \\\"name\\\": \\\"secret society\\\"}, {\\\"id\\\": 3045, \\\"name\\\": \\\"mission of murder\\\"}, {\\\"id\\\": 9748, \\\"name\\\": \\\"revenge\\\"}]\",\n          \"[{\\\"id\\\": 2987, \\\"name\\\": \\\"gang war\\\"}, {\\\"id\\\": 4942, \\\"name\\\": \\\"victim of murder\\\"}, {\\\"id\\\": 5332, \\\"name\\\": \\\"greed\\\"}, {\\\"id\\\": 6062, \\\"name\\\": \\\"hostility\\\"}, {\\\"id\\\": 156212, \\\"name\\\": \\\"spaghetti western\\\"}]\",\n          \"[{\\\"id\\\": 703, \\\"name\\\": \\\"detective\\\"}, {\\\"id\\\": 1299, \\\"name\\\": \\\"monster\\\"}, {\\\"id\\\": 6101, \\\"name\\\": \\\"engine\\\"}, {\\\"id\\\": 10988, \\\"name\\\": \\\"based on tv series\\\"}, {\\\"id\\\": 15162, \\\"name\\\": \\\"dog\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_language\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 37,\n        \"samples\": [\n          \"xx\",\n          \"ta\",\n          \"es\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4801,\n        \"samples\": [\n          \"I Spy\",\n          \"Love Letters\",\n          \"Sleepover\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"When \\\"street smart\\\" rapper Christopher \\\"C-Note\\\" Hawkins (Big Boi) applies for a membership to all-white Carolina Pines Country Club, the establishment's proprietors are hardly ready to oblige him.\",\n          \"As their first year of high school looms ahead, best friends Julie, Hannah, Yancy and Farrah have one last summer sleepover. Little do they know they're about to embark on the adventure of a lifetime. Desperate to shed their nerdy status, they take part in a night-long scavenger hunt that pits them against their popular archrivals. Everything under the sun goes on -- from taking Yancy's father's car to sneaking into nightclubs!\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"popularity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.816649749537774,\n        \"min\": 0.0,\n        \"max\": 875.581305,\n        \"num_unique_values\": 4802,\n        \"samples\": [\n          13.267631,\n          0.010909,\n          5.842299\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"production_companies\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3697,\n        \"samples\": [\n          \"[{\\\"name\\\": \\\"Paramount Pictures\\\", \\\"id\\\": 4}, {\\\"name\\\": \\\"Cherry Alley Productions\\\", \\\"id\\\": 2232}]\",\n          \"[{\\\"name\\\": \\\"Twentieth Century Fox Film Corporation\\\", \\\"id\\\": 306}, {\\\"name\\\": \\\"Dune Entertainment\\\", \\\"id\\\": 444}, {\\\"name\\\": \\\"Regency Enterprises\\\", \\\"id\\\": 508}, {\\\"name\\\": \\\"Guy Walks into a Bar Productions\\\", \\\"id\\\": 2645}, {\\\"name\\\": \\\"Deep River Productions\\\", \\\"id\\\": 2646}, {\\\"name\\\": \\\"Friendly Films (II)\\\", \\\"id\\\": 81136}]\",\n          \"[{\\\"name\\\": \\\"Twentieth Century Fox Film Corporation\\\", \\\"id\\\": 306}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"production_countries\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 469,\n        \"samples\": [\n          \"[{\\\"iso_3166_1\\\": \\\"ES\\\", \\\"name\\\": \\\"Spain\\\"}, {\\\"iso_3166_1\\\": \\\"GB\\\", \\\"name\\\": \\\"United Kingdom\\\"}, {\\\"iso_3166_1\\\": \\\"US\\\", \\\"name\\\": \\\"United States of America\\\"}, {\\\"iso_3166_1\\\": \\\"FR\\\", \\\"name\\\": \\\"France\\\"}]\",\n          \"[{\\\"iso_3166_1\\\": \\\"US\\\", \\\"name\\\": \\\"United States of America\\\"}, {\\\"iso_3166_1\\\": \\\"CA\\\", \\\"name\\\": \\\"Canada\\\"}, {\\\"iso_3166_1\\\": \\\"DE\\\", \\\"name\\\": \\\"Germany\\\"}]\",\n          \"[{\\\"iso_3166_1\\\": \\\"DE\\\", \\\"name\\\": \\\"Germany\\\"}, {\\\"iso_3166_1\\\": \\\"ES\\\", \\\"name\\\": \\\"Spain\\\"}, {\\\"iso_3166_1\\\": \\\"GB\\\", \\\"name\\\": \\\"United Kingdom\\\"}, {\\\"iso_3166_1\\\": \\\"US\\\", \\\"name\\\": \\\"United States of America\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 3280,\n        \"samples\": [\n          \"1966-10-16\",\n          \"1987-07-31\",\n          \"1993-09-23\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"revenue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 162857100,\n        \"min\": 0,\n        \"max\": 2787965087,\n        \"num_unique_values\": 3297,\n        \"samples\": [\n          11833696,\n          10462500,\n          17807569\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"runtime\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22.611934588844232,\n        \"min\": 0.0,\n        \"max\": 338.0,\n        \"num_unique_values\": 156,\n        \"samples\": [\n          74.0,\n          85.0,\n          170.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spoken_languages\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 544,\n        \"samples\": [\n          \"[{\\\"iso_639_1\\\": \\\"es\\\", \\\"name\\\": \\\"Espa\\\\u00f1ol\\\"}, {\\\"iso_639_1\\\": \\\"en\\\", \\\"name\\\": \\\"English\\\"}, {\\\"iso_639_1\\\": \\\"fr\\\", \\\"name\\\": \\\"Fran\\\\u00e7ais\\\"}, {\\\"iso_639_1\\\": \\\"hu\\\", \\\"name\\\": \\\"Magyar\\\"}]\",\n          \"[{\\\"iso_639_1\\\": \\\"en\\\", \\\"name\\\": \\\"English\\\"}, {\\\"iso_639_1\\\": \\\"it\\\", \\\"name\\\": \\\"Italiano\\\"}, {\\\"iso_639_1\\\": \\\"pt\\\", \\\"name\\\": \\\"Portugu\\\\u00eas\\\"}]\",\n          \"[{\\\"iso_639_1\\\": \\\"de\\\", \\\"name\\\": \\\"Deutsch\\\"}, {\\\"iso_639_1\\\": \\\"it\\\", \\\"name\\\": \\\"Italiano\\\"}, {\\\"iso_639_1\\\": \\\"la\\\", \\\"name\\\": \\\"Latin\\\"}, {\\\"iso_639_1\\\": \\\"pl\\\", \\\"name\\\": \\\"Polski\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Released\",\n          \"Post Production\",\n          \"Rumored\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tagline\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3944,\n        \"samples\": [\n          \"When you're 17, every day is war.\",\n          \"An Unspeakable Horror. A Creative Genius. Captured For Eternity.\",\n          \"May the schwartz be with you\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"I Spy\",\n          \"Who's Your Caddy?\",\n          \"Sleepover\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_average\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1946121628478923,\n        \"min\": 0.0,\n        \"max\": 10.0,\n        \"num_unique_values\": 71,\n        \"samples\": [\n          5.1,\n          7.2,\n          4.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1234,\n        \"min\": 0,\n        \"max\": 13752,\n        \"num_unique_values\": 1609,\n        \"samples\": [\n          7604,\n          3428,\n          225\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 217
        }
      ],
      "source": [
        "movies.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 218,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kGgyYEeVnRLS",
        "outputId": "7f47c220-49ed-4cd8-b4f6-97218ef0cc88"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4803, 20)"
            ]
          },
          "metadata": {},
          "execution_count": 218
        }
      ],
      "source": [
        "movies.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 219,
      "metadata": {
        "id": "c6kFc5rxm7Hp"
      },
      "outputs": [],
      "source": [
        "credits = pd.read_csv(credit_file_path)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 220,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "rhMwuDT0nHB9",
        "outputId": "d5aef283-9893-463b-e075-3dfa4dbbcb26"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
              "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
              "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c07248c7-b092-40fd-b5d2-72667f60fc7f\" 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",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>movie_id</th>\n",
              "      <th>title</th>\n",
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              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
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              "      <th>2</th>\n",
              "      <td>206647</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
              "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>49026</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
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              "    .colab-df-convert:hover {\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c07248c7-b092-40fd-b5d2-72667f60fc7f');\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",
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              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-cb41fd8c-96e4-4aaa-9b9a-c20547418e29')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "  </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-cb41fd8c-96e4-4aaa-9b9a-c20547418e29 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
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Marsh\\\"}, {\\\"credit_id\\\": \\\"58dd10b2c3a368228300b588\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1763970, \\\"job\\\": \\\"Casting Assistant\\\", \\\"name\\\": \\\"Nadia Lubbe Simon\\\"}, {\\\"credit_id\\\": \\\"58dd1052925141413c00beac\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786614, \\\"job\\\": \\\"Casting Associate\\\", \\\"name\\\": \\\"Diana Jaher\\\"}, {\\\"credit_id\\\": \\\"58dd11d5c3a368229d00b6a0\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1786616, \\\"job\\\": \\\"Location Manager\\\", \\\"name\\\": \\\"Craig W. van Gundy\\\"}, {\\\"credit_id\\\": \\\"58dd1254c3a368227300c1e6\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786618, \\\"job\\\": \\\"Production Coordinator\\\", \\\"name\\\": \\\"Kris Fullan Martinez\\\"}, {\\\"credit_id\\\": \\\"599042f4c3a368744202aefa\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1868861, \\\"job\\\": \\\"Painter\\\", \\\"name\\\": \\\"Joe A. Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"52fe44479251416c7502f0c3\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 20953, \\\"job\\\": \\\"Original Music Composer\\\", \\\"name\\\": \\\"Harry Manfredini\\\"}, {\\\"credit_id\\\": \\\"534a8875c3a3682df60016a4\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 23545, \\\"job\\\": \\\"Casting\\\", \\\"name\\\": \\\"Robin D. Cook\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0ed\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 35475, \\\"job\\\": \\\"Executive Producer\\\", \\\"name\\\": \\\"Sean S. Cunningham\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0cf\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 2, \\\"id\\\": 55642, \\\"job\\\": \\\"Director of Photography\\\", \\\"name\\\": \\\"Derick V. Underschultz\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0b7\\\", \\\"department\\\": \\\"Writing\\\", \\\"gender\\\": 2, \\\"id\\\": 61117, \\\"job\\\": \\\"Screenplay\\\", \\\"name\\\": \\\"Todd Farmer\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0c9\\\", \\\"department\\\": \\\"Editing\\\", \\\"gender\\\": 2, \\\"id\\\": 64748, \\\"job\\\": \\\"Editor\\\", \\\"name\\\": \\\"David Handman\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0b1\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 2, \\\"id\\\": 69579, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"James Isaac\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0bd\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 69585, \\\"job\\\": \\\"Producer\\\", \\\"name\\\": \\\"Noel Cunningham\\\"}, {\\\"credit_id\\\": \\\"534a888cc3a3682df60016a8\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 958703, \\\"job\\\": \\\"Costume Design\\\", \\\"name\\\": \\\"Maxyne Baker\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 220
        }
      ],
      "source": [
        "credits.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 221,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j9hfz6X7ipU_",
        "outputId": "b80aba55-7e88-4eb4-c142-253888cf0804"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4803, 4)"
            ]
          },
          "metadata": {},
          "execution_count": 221
        }
      ],
      "source": [
        "credits.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kpkteRwDrDS-"
      },
      "source": [
        "Now merge these two data frame"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 222,
      "metadata": {
        "id": "UE3t_4ZWqzln"
      },
      "outputs": [],
      "source": [
        "movies = movies.merge(credits, on=\"title\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 223,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "LPCQoQiFrb0L",
        "outputId": "a1fe5536-95be-44a1-9f19-5a888d4ae2be"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      budget                                             genres  \\\n",
              "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "\n",
              "                                       homepage     id  \\\n",
              "0                   http://www.avatarmovie.com/  19995   \n",
              "1  http://disney.go.com/disneypictures/pirates/    285   \n",
              "\n",
              "                                            keywords original_language  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
              "\n",
              "                             original_title  \\\n",
              "0                                    Avatar   \n",
              "1  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  popularity  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
              "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
              "\n",
              "                                production_companies  ... runtime  \\\n",
              "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
              "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   169.0   \n",
              "\n",
              "                                    spoken_languages    status  \\\n",
              "0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
              "1           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "\n",
              "                                          tagline  \\\n",
              "0                     Enter the World of Pandora.   \n",
              "1  At the end of the world, the adventure begins.   \n",
              "\n",
              "                                      title vote_average vote_count movie_id  \\\n",
              "0                                    Avatar          7.2      11800    19995   \n",
              "1  Pirates of the Caribbean: At World's End          6.9       4500      285   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "\n",
              "[2 rows x 23 columns]"
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>id</th>\n",
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              "      <th>production_companies</th>\n",
              "      <th>...</th>\n",
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              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>vote_average</th>\n",
              "      <th>vote_count</th>\n",
              "      <th>movie_id</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
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              "  </thead>\n",
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              "      <th>0</th>\n",
              "      <td>237000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
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              "      <td>19995</td>\n",
              "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
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              "      <td>Pirates of the Caribbean: At World's End</td>\n",
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              "      <td>139.082615</td>\n",
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              "      <td>...</td>\n",
              "      <td>169.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>At the end of the world, the adventure begins.</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>6.9</td>\n",
              "      <td>4500</td>\n",
              "      <td>285</td>\n",
              "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 23 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "\n",
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              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
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              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "    .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",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "        document.querySelector('#df-c859c8cc-9ac9-454f-ab3e-b172c7aff56a 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-c859c8cc-9ac9-454f-ab3e-b172c7aff56a');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  .colab-df-quickchart:hover {\n",
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              "  }\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",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "    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",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies"
            }
          },
          "metadata": {},
          "execution_count": 223
        }
      ],
      "source": [
        "movies.head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 224,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3BH49IH9ro9g",
        "outputId": "08422b47-1c30-4f3a-f95c-2b27da8c856e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4809, 23)"
            ]
          },
          "metadata": {},
          "execution_count": 224
        }
      ],
      "source": [
        "movies.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 225,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T6texXYQuh3p",
        "outputId": "2abbab22-1c98-426e-a334-ac12c28ef5b9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['budget', 'genres', 'homepage', 'id', 'keywords', 'original_language',\n",
              "       'original_title', 'overview', 'popularity', 'production_companies',\n",
              "       'production_countries', 'release_date', 'revenue', 'runtime',\n",
              "       'spoken_languages', 'status', 'tagline', 'title', 'vote_average',\n",
              "       'vote_count', 'movie_id', 'cast', 'crew'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 225
        }
      ],
      "source": [
        "movies.columns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4UJ9U5_WucI_"
      },
      "source": [
        "**Importants columns used in sysytem**\n",
        "\n",
        "* movie_id\n",
        "* title\n",
        "* overview\n",
        "* genres\n",
        "* keywords\n",
        "* cast\n",
        "* crew\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 226,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WAOo_VDursD0",
        "outputId": "19421dce-7cf9-4fa8-9050-267538624494"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "original_language\n",
              "en    4510\n",
              "fr      70\n",
              "es      32\n",
              "zh      27\n",
              "de      27\n",
              "hi      19\n",
              "ja      16\n",
              "it      14\n",
              "ko      12\n",
              "cn      12\n",
              "ru      11\n",
              "pt       9\n",
              "da       7\n",
              "sv       5\n",
              "nl       4\n",
              "fa       4\n",
              "th       3\n",
              "he       3\n",
              "ta       2\n",
              "cs       2\n",
              "ro       2\n",
              "id       2\n",
              "ar       2\n",
              "vi       1\n",
              "sl       1\n",
              "ps       1\n",
              "no       1\n",
              "ky       1\n",
              "hu       1\n",
              "pl       1\n",
              "af       1\n",
              "nb       1\n",
              "tr       1\n",
              "is       1\n",
              "xx       1\n",
              "te       1\n",
              "el       1\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 226
        }
      ],
      "source": [
        "movies['original_language'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 227,
      "metadata": {
        "id": "0M95RtfXvBrH"
      },
      "outputs": [],
      "source": [
        "movies = movies[['id','title','overview','genres','keywords','cast','crew']]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 228,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "J9Y1ENcsv6_R",
        "outputId": "b8cb8dbc-9bce-47c1-d2a0-21ef708e5df4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "\n",
              "                                              genres  \\\n",
              "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  "
            ],
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      buttonEl.style.display =\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0c0fb668-b3ee-4afd-b749-dd1a37b6e21d');\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",
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              "\n",
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              "\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",
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              "\n",
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              "            'suggestCharts', [key], {});\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
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Lorimer\\\"}, {\\\"credit_id\\\": \\\"59904427925141675902acc6\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1451398, \\\"job\\\": \\\"Greensman\\\", \\\"name\\\": \\\"Bryan McBrien\\\"}, {\\\"credit_id\\\": \\\"59904629c3a368744202b2d6\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1453276, \\\"job\\\": \\\"Construction Coordinator\\\", \\\"name\\\": \\\"Butch West\\\"}, {\\\"credit_id\\\": \\\"599034bcc3a3687493027d17\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1454647, \\\"job\\\": \\\"Creator\\\", \\\"name\\\": \\\"Hugh Lofting\\\"}, {\\\"credit_id\\\": \\\"58dd11f1c3a36822ae00bc75\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 1, \\\"id\\\": 1457729, \\\"job\\\": \\\"Script Supervisor\\\", \\\"name\\\": \\\"Nancy Karlin\\\"}, {\\\"credit_id\\\": \\\"59904a8d925141675f02b6d8\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 1496418, \\\"job\\\": \\\"Visual Effects Coordinator\\\", \\\"name\\\": \\\"Mitchell Ferm\\\"}, {\\\"credit_id\\\": \\\"599050e6925141674c02beef\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 1550058, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Jim Harrison\\\"}, {\\\"credit_id\\\": \\\"58dd11b0c3a368223e00b7db\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1585159, \\\"job\\\": \\\"Location Scout\\\", \\\"name\\\": \\\"Jasan Sherman\\\"}, {\\\"credit_id\\\": \\\"5990453a925141673902a8ec\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1586888, \\\"job\\\": \\\"Sculptor\\\", \\\"name\\\": \\\"Thomas Meikle\\\"}, {\\\"credit_id\\\": \\\"5990506dc3a368747302c6e3\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1587383, \\\"job\\\": \\\"Music Supervisor\\\", \\\"name\\\": \\\"Spring Aspers\\\"}, {\\\"credit_id\\\": \\\"59904fbb925141672302c9ed\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1610228, \\\"job\\\": \\\"Key Costumer\\\", \\\"name\\\": \\\"Craig Anthony\\\"}, {\\\"credit_id\\\": \\\"599047e3925141674c02b4cf\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 1737829, \\\"job\\\": \\\"Boom Operator\\\", \\\"name\\\": \\\"Harrison D. Marsh\\\"}, {\\\"credit_id\\\": \\\"58dd10b2c3a368228300b588\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1763970, \\\"job\\\": \\\"Casting Assistant\\\", \\\"name\\\": \\\"Nadia Lubbe Simon\\\"}, {\\\"credit_id\\\": \\\"58dd1052925141413c00beac\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786614, \\\"job\\\": \\\"Casting Associate\\\", \\\"name\\\": \\\"Diana Jaher\\\"}, {\\\"credit_id\\\": \\\"58dd11d5c3a368229d00b6a0\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1786616, \\\"job\\\": \\\"Location Manager\\\", \\\"name\\\": \\\"Craig W. van Gundy\\\"}, {\\\"credit_id\\\": \\\"58dd1254c3a368227300c1e6\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786618, \\\"job\\\": \\\"Production Coordinator\\\", \\\"name\\\": \\\"Kris Fullan Martinez\\\"}, {\\\"credit_id\\\": \\\"599042f4c3a368744202aefa\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1868861, \\\"job\\\": \\\"Painter\\\", \\\"name\\\": \\\"Joe A. Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"52fe45589251416c9102f1af\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 2, \\\"id\\\": 5281, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Spike Lee\\\"}, {\\\"credit_id\\\": \\\"578525bd92514137c20047ee\\\", \\\"department\\\": \\\"Writing\\\", \\\"gender\\\": 1, \\\"id\\\": 13602, \\\"job\\\": \\\"Writer\\\", \\\"name\\\": \\\"Joie Lee\\\"}, {\\\"credit_id\\\": \\\"52fe45589251416c9102f1b5\\\", \\\"department\\\": \\\"Writing\\\", \\\"gender\\\": 2, \\\"id\\\": 13603, \\\"job\\\": \\\"Writer\\\", \\\"name\\\": \\\"Cinqu\\\\u00e9 Lee\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 228
        }
      ],
      "source": [
        "movies.head(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 229,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p2-94hAZwF-e",
        "outputId": "5621291a-5726-4071-dd10-6cd5cf38de40"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4809, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 229
        }
      ],
      "source": [
        "movies.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "28haqmi0HAh2"
      },
      "source": [
        "# Data Preprocessing\n",
        "\n",
        " Removing missing values and duplicated values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 230,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g18pfOruHW7Q",
        "outputId": "c0df5ef4-018b-47fb-81ef-4f35844b264d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id          0\n",
              "title       0\n",
              "overview    3\n",
              "genres      0\n",
              "keywords    0\n",
              "cast        0\n",
              "crew        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 230
        }
      ],
      "source": [
        "movies.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 231,
      "metadata": {
        "id": "jDK0oZS4JaYC"
      },
      "outputs": [],
      "source": [
        "movies.dropna(inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 232,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "04lZXdzSJgcl",
        "outputId": "c2dee198-96b8-4b2e-a7b4-a13646f0afa2"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4806, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 232
        }
      ],
      "source": [
        "movies.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 233,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a1vZ6s6DJlfk",
        "outputId": "85848eb0-2066-461c-9f22-36e9c73f2484"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 233
        }
      ],
      "source": [
        "movies.duplicated().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 234,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "Fwf8iP_XKBT2",
        "outputId": "60495951-76ec-45c3-c536-944a28bc4328"
      },
      "outputs": [
        {
          "output_type": "execute_result",
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              "       id                                     title  \\\n",
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              "1     285  Pirates of the Caribbean: At World's End   \n",
              "2  206647                                   Spectre   \n",
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              "\n",
              "                                            overview  \\\n",
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              "2  A cryptic message from Bond’s past sends him o...   \n",
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              "\n",
              "                                              genres  \\\n",
              "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
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              "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "\n",
              "                                            keywords  \\\n",
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              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
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              "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
              "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
              "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
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              "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
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              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
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              "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
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              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
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              "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
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              "      <td>49529</td>\n",
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              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
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              "\n",
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              "        <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-35071669-de84-42c3-a0fc-1c891ac79ffa button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. And that's just the first of the bodies to pile up before Kyle can walk down the aisle...\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1175,\n        \"samples\": [\n          \"[{\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 18, \\\"name\\\": \\\"Drama\\\"}, {\\\"id\\\": 28, \\\"name\\\": \\\"Action\\\"}, {\\\"id\\\": 53, \\\"name\\\": \\\"Thriller\\\"}, {\\\"id\\\": 10749, \\\"name\\\": \\\"Romance\\\"}]\",\n          \"[{\\\"id\\\": 28, \\\"name\\\": \\\"Action\\\"}, {\\\"id\\\": 35, \\\"name\\\": \\\"Comedy\\\"}, {\\\"id\\\": 80, \\\"name\\\": \\\"Crime\\\"}, {\\\"id\\\": 18, \\\"name\\\": \\\"Drama\\\"}]\",\n          \"[{\\\"id\\\": 12, \\\"name\\\": \\\"Adventure\\\"}, {\\\"id\\\": 16, \\\"name\\\": \\\"Animation\\\"}, {\\\"id\\\": 10751, \\\"name\\\": \\\"Family\\\"}, {\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 878, \\\"name\\\": \\\"Science Fiction\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4220,\n        \"samples\": [\n          \"[{\\\"id\\\": 387, \\\"name\\\": \\\"california\\\"}, {\\\"id\\\": 2702, \\\"name\\\": \\\"golf\\\"}, {\\\"id\\\": 3089, \\\"name\\\": \\\"oscar award\\\"}, {\\\"id\\\": 6563, \\\"name\\\": \\\"wine\\\"}, {\\\"id\\\": 8070, \\\"name\\\": \\\"stag night\\\"}, {\\\"id\\\": 10776, \\\"name\\\": \\\"marijuana\\\"}, {\\\"id\\\": 13028, \\\"name\\\": \\\"writer\\\"}]\",\n          \"[{\\\"id\\\": 3036, \\\"name\\\": \\\"bible\\\"}, {\\\"id\\\": 9649, \\\"name\\\": \\\"god\\\"}, {\\\"id\\\": 195790, \\\"name\\\": \\\"noah\\\"}, {\\\"id\\\": 209714, \\\"name\\\": \\\"3d\\\"}]\",\n          \"[{\\\"id\\\": 305, \\\"name\\\": \\\"moon\\\"}, {\\\"id\\\": 345, \\\"name\\\": \\\"monk\\\"}, {\\\"id\\\": 1400, \\\"name\\\": \\\"swordplay\\\"}, {\\\"id\\\": 2637, \\\"name\\\": \\\"bishop\\\"}, {\\\"id\\\": 2638, \\\"name\\\": \\\"cathedral\\\"}, {\\\"id\\\": 2639, \\\"name\\\": \\\"falcon\\\"}, {\\\"id\\\": 2640, \\\"name\\\": \\\"twilight\\\"}, {\\\"id\\\": 2642, \\\"name\\\": \\\"solar eclipse\\\"}, {\\\"id\\\": 9727, \\\"name\\\": \\\"thief\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4759,\n        \"samples\": [\n          \"[{\\\"cast_id\\\": 1, \\\"character\\\": \\\"Mac Radner\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a20b\\\", \\\"gender\\\": 2, \\\"id\\\": 19274, \\\"name\\\": \\\"Seth Rogen\\\", \\\"order\\\": 0}, {\\\"cast_id\\\": 3, \\\"character\\\": \\\"Teddy Sanders\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a213\\\", 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\\\"Makeup Department Head\\\", \\\"name\\\": \\\"Kris Evans\\\"}, {\\\"credit_id\\\": \\\"58dd11a2c3a368227300c14b\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1113659, \\\"job\\\": \\\"Location Manager\\\", \\\"name\\\": \\\"Iddo Lampton Enochs Jr.\\\"}, {\\\"credit_id\\\": \\\"59904b71925141675f02b7e7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1178615, \\\"job\\\": \\\"CG Supervisor\\\", \\\"name\\\": \\\"Liz Radley\\\"}, {\\\"credit_id\\\": \\\"59904fe5c3a368744202bf0c\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1319193, \\\"job\\\": \\\"Costume Supervisor\\\", \\\"name\\\": \\\"Donna Marcione Pollack\\\"}, {\\\"credit_id\\\": \\\"599044c4925141672302bc97\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1364403, \\\"job\\\": \\\"Greensman\\\", \\\"name\\\": \\\"Frank McEldowney\\\"}, {\\\"credit_id\\\": \\\"59904694925141673e02cfd2\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1367505, \\\"job\\\": \\\"Dialogue Editor\\\", \\\"name\\\": \\\"Ted Caplan\\\"}, {\\\"credit_id\\\": \\\"5990439d925141675902ac1b\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1377216, \\\"job\\\": \\\"Art Department Coordinator\\\", \\\"name\\\": \\\"Gerald Lehtola\\\"}, {\\\"credit_id\\\": \\\"599045fb925141675f02b16c\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1378165, \\\"job\\\": \\\"Property Master\\\", \\\"name\\\": \\\"Mark Wade\\\"}, {\\\"credit_id\\\": \\\"58dd0fd0c3a368228a00abfb\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 1, \\\"id\\\": 1378749, \\\"job\\\": \\\"Set Designer\\\", \\\"name\\\": \\\"Patricia Klawonn\\\"}, {\\\"credit_id\\\": \\\"58dd1023c3a368227300c025\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1389585, \\\"job\\\": \\\"Set Designer\\\", \\\"name\\\": \\\"Bill Taliaferro\\\"}, {\\\"credit_id\\\": \\\"59904785c3a3687493029126\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1390527, \\\"job\\\": \\\"Sound Effects Editor\\\", \\\"name\\\": \\\"Dave Kulczycki\\\"}, {\\\"credit_id\\\": \\\"59905010925141675f02bd38\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1399322, \\\"job\\\": \\\"Set Costumer\\\", \\\"name\\\": \\\"Elizabeth Frank\\\"}, {\\\"credit_id\\\": \\\"59904d81925141670b02cf99\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 2, \\\"id\\\": 1400374, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Casey Hotchkiss\\\"}, {\\\"credit_id\\\": \\\"599046d2c3a3687493029074\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1404841, \\\"job\\\": \\\"ADR Editor\\\", \\\"name\\\": \\\"Zack Davis\\\"}, {\\\"credit_id\\\": \\\"59904214c3a368746102979f\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1408278, \\\"job\\\": \\\"Hair Department Head\\\", \\\"name\\\": \\\"Erma Kent\\\"}, {\\\"credit_id\\\": \\\"599048b2925141670b02c97f\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1416153, \\\"job\\\": \\\"Supervising Sound Editor\\\", \\\"name\\\": \\\"Donald Sylvester\\\"}, {\\\"credit_id\\\": \\\"59904ad6c3a36874b402a1cc\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 1416167, \\\"job\\\": \\\"Visual Effects Producer\\\", \\\"name\\\": \\\"John Kilkenny\\\"}, {\\\"credit_id\\\": \\\"56ae7d849251416357002915\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 1, \\\"id\\\": 1424894, \\\"job\\\": \\\"Hairstylist\\\", \\\"name\\\": \\\"Camille Friend\\\"}, {\\\"credit_id\\\": \\\"599047ab925141674c02b48e\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1425343, \\\"job\\\": \\\"ADR Editor\\\", \\\"name\\\": \\\"Vanessa Lapato\\\"}, {\\\"credit_id\\\": \\\"59904951925141673902ae4e\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1442509, \\\"job\\\": \\\"Special Effects Coordinator\\\", \\\"name\\\": \\\"Alan E. Lorimer\\\"}, {\\\"credit_id\\\": \\\"59904427925141675902acc6\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1451398, \\\"job\\\": \\\"Greensman\\\", \\\"name\\\": \\\"Bryan McBrien\\\"}, {\\\"credit_id\\\": \\\"59904629c3a368744202b2d6\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1453276, \\\"job\\\": \\\"Construction Coordinator\\\", \\\"name\\\": \\\"Butch West\\\"}, {\\\"credit_id\\\": \\\"599034bcc3a3687493027d17\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1454647, \\\"job\\\": \\\"Creator\\\", \\\"name\\\": \\\"Hugh Lofting\\\"}, {\\\"credit_id\\\": \\\"58dd11f1c3a36822ae00bc75\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 1, \\\"id\\\": 1457729, \\\"job\\\": \\\"Script Supervisor\\\", \\\"name\\\": \\\"Nancy Karlin\\\"}, {\\\"credit_id\\\": \\\"59904a8d925141675f02b6d8\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 1496418, \\\"job\\\": \\\"Visual Effects Coordinator\\\", \\\"name\\\": \\\"Mitchell Ferm\\\"}, {\\\"credit_id\\\": \\\"599050e6925141674c02beef\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 1550058, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Jim Harrison\\\"}, {\\\"credit_id\\\": \\\"58dd11b0c3a368223e00b7db\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1585159, \\\"job\\\": \\\"Location Scout\\\", \\\"name\\\": \\\"Jasan Sherman\\\"}, {\\\"credit_id\\\": \\\"5990453a925141673902a8ec\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1586888, \\\"job\\\": \\\"Sculptor\\\", \\\"name\\\": \\\"Thomas Meikle\\\"}, {\\\"credit_id\\\": \\\"5990506dc3a368747302c6e3\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1587383, \\\"job\\\": \\\"Music Supervisor\\\", \\\"name\\\": \\\"Spring Aspers\\\"}, {\\\"credit_id\\\": \\\"59904fbb925141672302c9ed\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1610228, \\\"job\\\": \\\"Key Costumer\\\", \\\"name\\\": \\\"Craig Anthony\\\"}, {\\\"credit_id\\\": \\\"599047e3925141674c02b4cf\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 1737829, \\\"job\\\": \\\"Boom Operator\\\", \\\"name\\\": \\\"Harrison D. Marsh\\\"}, {\\\"credit_id\\\": \\\"58dd10b2c3a368228300b588\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1763970, \\\"job\\\": \\\"Casting Assistant\\\", \\\"name\\\": \\\"Nadia Lubbe Simon\\\"}, {\\\"credit_id\\\": \\\"58dd1052925141413c00beac\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786614, \\\"job\\\": \\\"Casting Associate\\\", \\\"name\\\": \\\"Diana Jaher\\\"}, {\\\"credit_id\\\": \\\"58dd11d5c3a368229d00b6a0\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1786616, \\\"job\\\": \\\"Location Manager\\\", \\\"name\\\": \\\"Craig W. van Gundy\\\"}, {\\\"credit_id\\\": \\\"58dd1254c3a368227300c1e6\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786618, \\\"job\\\": \\\"Production Coordinator\\\", \\\"name\\\": \\\"Kris Fullan Martinez\\\"}, {\\\"credit_id\\\": \\\"599042f4c3a368744202aefa\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1868861, \\\"job\\\": \\\"Painter\\\", \\\"name\\\": \\\"Joe A. Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"535c348b0e0a264fe1001e9f\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 0, \\\"id\\\": 1314011, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Nathan Smith Jones\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 234
        }
      ],
      "source": [
        "movies.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 235,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "r8GjrlvnKK29",
        "outputId": "b1141d8f-21e6-4efe-f246-a7b18ad1096e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 235
        }
      ],
      "source": [
        "movies.iloc[0]['genres']"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(movies.iloc[0]['genres'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5I-DKPC7lsyK",
        "outputId": "34be6958-ce54-4ade-a7ef-0f1546b35563"
      },
      "execution_count": 236,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {},
          "execution_count": 236
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now Convert string to list"
      ],
      "metadata": {
        "id": "GTevbz4zl3uN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import ast\n",
        "ast.literal_eval('[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KTPsCy9Tl1mH",
        "outputId": "334c5218-cde8-4cad-f796-c035f1627c0f"
      },
      "execution_count": 237,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'id': 28, 'name': 'Action'},\n",
              " {'id': 12, 'name': 'Adventure'},\n",
              " {'id': 14, 'name': 'Fantasy'},\n",
              " {'id': 878, 'name': 'Science Fiction'}]"
            ]
          },
          "metadata": {},
          "execution_count": 237
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import ast\n",
        "\n",
        "def convert(text):\n",
        "  l = []\n",
        "  for i in ast.literal_eval(text):\n",
        "    l.append(i['name'])\n",
        "  return l"
      ],
      "metadata": {
        "id": "4lIfLnKemKEJ"
      },
      "execution_count": 238,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# movies['genres'].apply(convert)"
      ],
      "metadata": {
        "id": "HDVcC8OEmexr"
      },
      "execution_count": 239,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['genres'] = movies['genres'].apply(convert)"
      ],
      "metadata": {
        "id": "PN4G8DL_mnPP"
      },
      "execution_count": 240,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "KBhKJrZxmq3g",
        "outputId": "4da92811-9d5a-41c5-f2da-06479b99aa12"
      },
      "execution_count": 241,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ee4afa22-20aa-484a-875f-cf408b3c2efc\" 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",
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              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>title</th>\n",
              "      <th>overview</th>\n",
              "      <th>genres</th>\n",
              "      <th>keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>19995</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
              "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
              "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
              "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
              "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
              "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
              "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ee4afa22-20aa-484a-875f-cf408b3c2efc')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      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-ee4afa22-20aa-484a-875f-cf408b3c2efc 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-ee4afa22-20aa-484a-875f-cf408b3c2efc');\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-2416c67a-801d-41f4-842f-b064945f09c6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2416c67a-801d-41f4-842f-b064945f09c6')\"\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",
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              "    </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-2416c67a-801d-41f4-842f-b064945f09c6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. And that's just the first of the bodies to pile up before Kyle can walk down the aisle...\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4220,\n        \"samples\": [\n          \"[{\\\"id\\\": 387, \\\"name\\\": \\\"california\\\"}, {\\\"id\\\": 2702, \\\"name\\\": \\\"golf\\\"}, {\\\"id\\\": 3089, \\\"name\\\": \\\"oscar award\\\"}, {\\\"id\\\": 6563, \\\"name\\\": \\\"wine\\\"}, {\\\"id\\\": 8070, \\\"name\\\": \\\"stag night\\\"}, {\\\"id\\\": 10776, \\\"name\\\": \\\"marijuana\\\"}, {\\\"id\\\": 13028, \\\"name\\\": \\\"writer\\\"}]\",\n          \"[{\\\"id\\\": 3036, \\\"name\\\": \\\"bible\\\"}, {\\\"id\\\": 9649, \\\"name\\\": \\\"god\\\"}, {\\\"id\\\": 195790, \\\"name\\\": \\\"noah\\\"}, {\\\"id\\\": 209714, \\\"name\\\": \\\"3d\\\"}]\",\n          \"[{\\\"id\\\": 305, \\\"name\\\": \\\"moon\\\"}, {\\\"id\\\": 345, \\\"name\\\": \\\"monk\\\"}, {\\\"id\\\": 1400, \\\"name\\\": \\\"swordplay\\\"}, {\\\"id\\\": 2637, \\\"name\\\": \\\"bishop\\\"}, {\\\"id\\\": 2638, \\\"name\\\": \\\"cathedral\\\"}, {\\\"id\\\": 2639, \\\"name\\\": \\\"falcon\\\"}, {\\\"id\\\": 2640, \\\"name\\\": \\\"twilight\\\"}, {\\\"id\\\": 2642, \\\"name\\\": \\\"solar eclipse\\\"}, {\\\"id\\\": 9727, \\\"name\\\": \\\"thief\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4759,\n        \"samples\": [\n          \"[{\\\"cast_id\\\": 1, \\\"character\\\": \\\"Mac Radner\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a20b\\\", \\\"gender\\\": 2, \\\"id\\\": 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\\\"52fe4d169251416c9110a21b\\\", \\\"gender\\\": 2, \\\"id\\\": 54691, \\\"name\\\": \\\"Christopher Mintz-Plasse\\\", \\\"order\\\": 5}, {\\\"cast_id\\\": 11, \\\"character\\\": \\\"Paula Faldt\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a239\\\", \\\"gender\\\": 1, \\\"id\\\": 54708, \\\"name\\\": \\\"Carla Gallo\\\", \\\"order\\\": 6}, {\\\"cast_id\\\": 20, \\\"character\\\": \\\"Brooke Shy\\\", \\\"credit_id\\\": \\\"5326a290c3a3683dbf003e48\\\", \\\"gender\\\": 1, \\\"id\\\": 934243, \\\"name\\\": \\\"Halston Sage\\\", \\\"order\\\": 7}, {\\\"cast_id\\\": 15, \\\"character\\\": \\\"Assjuice\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a249\\\", \\\"gender\\\": 2, \\\"id\\\": 104561, \\\"name\\\": \\\"Craig Roberts\\\", \\\"order\\\": 8}, {\\\"cast_id\\\": 21, \\\"character\\\": \\\"Officer Watkins\\\", \\\"credit_id\\\": \\\"5326a2b3c3a3682378003f42\\\", \\\"gender\\\": 0, \\\"id\\\": 500427, \\\"name\\\": \\\"Hannibal Buress\\\", \\\"order\\\": 9}, {\\\"cast_id\\\": 9, \\\"character\\\": \\\"Carol Gladstone\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a231\\\", \\\"gender\\\": 1, \\\"id\\\": 14406, \\\"name\\\": \\\"Lisa Kudrow\\\", \\\"order\\\": 10}, {\\\"cast_id\\\": 16, \\\"character\\\": \\\"Dr. Theodorakis\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a24d\\\", \\\"gender\\\": 0, \\\"id\\\": 111683, \\\"name\\\": \\\"Jason Mantzoukas\\\", \\\"order\\\": 11}, {\\\"cast_id\\\": 42, \\\"character\\\": \\\"Garf\\\", \\\"credit_id\\\": \\\"54cf6fef92514147570082cf\\\", \\\"gender\\\": 2, \\\"id\\\": 1400880, \\\"name\\\": \\\"Jerrod Carmichael\\\", \\\"order\\\": 12}, {\\\"cast_id\\\": 40, \\\"character\\\": \\\"Whitney\\\", \\\"credit_id\\\": \\\"53fd31e7c3a3684c8c0004da\\\", \\\"gender\\\": 1, \\\"id\\\": 496731, \\\"name\\\": \\\"Ali Cobrin\\\", \\\"order\\\": 13}, {\\\"cast_id\\\": 65, \\\"character\\\": \\\"Stella Radner\\\", \\\"credit_id\\\": \\\"56ca131e92514102ad003abd\\\", \\\"gender\\\": 1, \\\"id\\\": 1581096, \\\"name\\\": 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Marsh\\\"}, {\\\"credit_id\\\": \\\"58dd10b2c3a368228300b588\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1763970, \\\"job\\\": \\\"Casting Assistant\\\", \\\"name\\\": \\\"Nadia Lubbe Simon\\\"}, {\\\"credit_id\\\": \\\"58dd1052925141413c00beac\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786614, \\\"job\\\": \\\"Casting Associate\\\", \\\"name\\\": \\\"Diana Jaher\\\"}, {\\\"credit_id\\\": \\\"58dd11d5c3a368229d00b6a0\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1786616, \\\"job\\\": \\\"Location Manager\\\", \\\"name\\\": \\\"Craig W. van Gundy\\\"}, {\\\"credit_id\\\": \\\"58dd1254c3a368227300c1e6\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786618, \\\"job\\\": \\\"Production Coordinator\\\", \\\"name\\\": \\\"Kris Fullan Martinez\\\"}, {\\\"credit_id\\\": \\\"599042f4c3a368744202aefa\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1868861, \\\"job\\\": \\\"Painter\\\", \\\"name\\\": \\\"Joe A. 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            }
          },
          "metadata": {},
          "execution_count": 241
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies.iloc[0]['keywords']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 91
        },
        "id": "unW5ebptmtkK",
        "outputId": "bf9a0358-6740-4f4a-b834-f535d52ede6b"
      },
      "execution_count": 242,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\": 2964, \"name\": \"future\"}, {\"id\": 3386, \"name\": \"space war\"}, {\"id\": 3388, \"name\": \"space colony\"}, {\"id\": 3679, \"name\": \"society\"}, {\"id\": 3801, \"name\": \"space travel\"}, {\"id\": 9685, \"name\": \"futuristic\"}, {\"id\": 9840, \"name\": \"romance\"}, {\"id\": 9882, \"name\": \"space\"}, {\"id\": 9951, \"name\": \"alien\"}, {\"id\": 10148, \"name\": \"tribe\"}, {\"id\": 10158, \"name\": \"alien planet\"}, {\"id\": 10987, \"name\": \"cgi\"}, {\"id\": 11399, \"name\": \"marine\"}, {\"id\": 13065, \"name\": \"soldier\"}, {\"id\": 14643, \"name\": \"battle\"}, {\"id\": 14720, \"name\": \"love affair\"}, {\"id\": 165431, \"name\": \"anti war\"}, {\"id\": 193554, \"name\": \"power relations\"}, {\"id\": 206690, \"name\": \"mind and soul\"}, {\"id\": 209714, \"name\": \"3d\"}]'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 242
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies['keywords'] = movies['keywords'].apply(convert)"
      ],
      "metadata": {
        "id": "kdAr7JDnniRV"
      },
      "execution_count": 243,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "slYU308enqKw",
        "outputId": "9c7e3a30-257b-4eaf-a66b-e4e02ee5a2ea"
      },
      "execution_count": 244,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
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              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [culture clash, future, space war, space colon...   \n",
              "1  [ocean, drug abuse, exotic island, east india ...   \n",
              "\n",
              "                                                cast  \\\n",
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              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "\n",
              "                                                crew  \n",
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              "        document.querySelector('#df-908ecc58-1f1b-47cc-b242-107e35461029 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-908ecc58-1f1b-47cc-b242-107e35461029');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  .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",
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              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
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              "  .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",
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              "    20% {\n",
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              "      border-top-color: var(--fill-color);\n",
              "    }\n",
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              "      border-left-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\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-f53c04a3-4491-4b38-ab0c-2dbc6f419ff8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
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Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"535c348b0e0a264fe1001e9f\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 0, \\\"id\\\": 1314011, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Nathan Smith Jones\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 244
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies.iloc[0]['cast']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 109
        },
        "id": "32vy50KFntXg",
        "outputId": "f50478d1-73b6-4cf5-b788-eea102dbe53f"
      },
      "execution_count": 245,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"credit_id\": \"5602a8a7c3a3685532001c9a\", \"gender\": 2, \"id\": 65731, \"name\": \"Sam Worthington\", \"order\": 0}, {\"cast_id\": 3, \"character\": \"Neytiri\", \"credit_id\": \"52fe48009251416c750ac9cb\", \"gender\": 1, \"id\": 8691, \"name\": \"Zoe Saldana\", \"order\": 1}, {\"cast_id\": 25, \"character\": \"Dr. Grace Augustine\", \"credit_id\": \"52fe48009251416c750aca39\", \"gender\": 1, \"id\": 10205, \"name\": \"Sigourney Weaver\", \"order\": 2}, {\"cast_id\": 4, \"character\": \"Col. 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\"id\": 1207254, \"name\": \"Julie Lamm\", \"order\": 37}, {\"cast_id\": 59, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acac3\", \"gender\": 0, \"id\": 1207257, \"name\": \"Cullen B. Madden\", \"order\": 38}, {\"cast_id\": 60, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acac7\", \"gender\": 0, \"id\": 1207259, \"name\": \"Joseph Brady Madden\", \"order\": 39}, {\"cast_id\": 61, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acacb\", \"gender\": 0, \"id\": 1207262, \"name\": \"Frankie Torres\", \"order\": 40}, {\"cast_id\": 62, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acacf\", \"gender\": 1, \"id\": 1158600, \"name\": \"Austin Wilson\", \"order\": 41}, {\"cast_id\": 63, \"character\": \"Troupe\", \"credit_id\": \"52fe48019251416c750acad3\", \"gender\": 1, \"id\": 983705, \"name\": \"Sara Wilson\", \"order\": 42}, {\"cast_id\": 64, \"character\": \"Troupe\", \"credit_id\": \"52fe48019251416c750acad7\", \"gender\": 0, \"id\": 1207263, \"name\": \"Tamica Washington-Miller\", \"order\": 43}, {\"cast_id\": 65, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acadb\", \"gender\": 1, \"id\": 1145098, \"name\": \"Lucy Briant\", \"order\": 44}, {\"cast_id\": 66, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acadf\", \"gender\": 2, \"id\": 33305, \"name\": \"Nathan Meister\", \"order\": 45}, {\"cast_id\": 67, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acae3\", \"gender\": 0, \"id\": 1207264, \"name\": \"Gerry Blair\", \"order\": 46}, {\"cast_id\": 68, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acae7\", \"gender\": 2, \"id\": 33311, \"name\": \"Matthew Chamberlain\", \"order\": 47}, {\"cast_id\": 69, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acaeb\", \"gender\": 0, \"id\": 1207265, \"name\": \"Paul Yates\", \"order\": 48}, {\"cast_id\": 70, \"character\": \"Op Center Duty Officer\", \"credit_id\": \"52fe48019251416c750acaef\", \"gender\": 0, \"id\": 1207266, \"name\": \"Wray Wilson\", \"order\": 49}, {\"cast_id\": 71, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acaf3\", \"gender\": 2, \"id\": 54492, \"name\": \"James Gaylyn\", \"order\": 50}, {\"cast_id\": 72, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acaf7\", \"gender\": 0, \"id\": 1207267, \"name\": \"Melvin Leno Clark III\", \"order\": 51}, {\"cast_id\": 73, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acafb\", \"gender\": 0, \"id\": 1207268, \"name\": \"Carvon Futrell\", \"order\": 52}, {\"cast_id\": 74, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acaff\", \"gender\": 0, \"id\": 1207269, \"name\": \"Brandon Jelkes\", \"order\": 53}, {\"cast_id\": 75, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb03\", \"gender\": 0, \"id\": 1207270, \"name\": \"Micah Moch\", \"order\": 54}, {\"cast_id\": 76, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb07\", \"gender\": 0, \"id\": 1207271, \"name\": \"Hanniyah Muhammad\", \"order\": 55}, {\"cast_id\": 77, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb0b\", \"gender\": 0, \"id\": 1207272, \"name\": \"Christopher Nolen\", \"order\": 56}, {\"cast_id\": 78, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb0f\", \"gender\": 0, \"id\": 1207273, \"name\": \"Christa Oliver\", \"order\": 57}, {\"cast_id\": 79, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb13\", \"gender\": 0, \"id\": 1207274, \"name\": \"April Marie Thomas\", \"order\": 58}, {\"cast_id\": 80, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb17\", \"gender\": 0, \"id\": 1207275, \"name\": \"Bravita A. Threatt\", \"order\": 59}, {\"cast_id\": 81, \"character\": \"Mining Chief (uncredited)\", \"credit_id\": \"52fe48019251416c750acb1b\", \"gender\": 0, \"id\": 1207276, \"name\": \"Colin Bleasdale\", \"order\": 60}, {\"cast_id\": 82, \"character\": \"Veteran Miner (uncredited)\", \"credit_id\": \"52fe48019251416c750acb1f\", \"gender\": 0, \"id\": 107969, \"name\": \"Mike Bodnar\", \"order\": 61}, {\"cast_id\": 83, \"character\": \"Richard (uncredited)\", \"credit_id\": \"52fe48019251416c750acb23\", \"gender\": 0, \"id\": 1207278, \"name\": \"Matt Clayton\", \"order\": 62}, {\"cast_id\": 84, \"character\": \"Nav\\'i (uncredited)\", \"credit_id\": \"52fe48019251416c750acb27\", \"gender\": 1, \"id\": 147898, \"name\": \"Nicole Dionne\", \"order\": 63}, {\"cast_id\": 85, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb2b\", \"gender\": 0, \"id\": 1207280, \"name\": \"Jamie Harrison\", \"order\": 64}, {\"cast_id\": 86, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb2f\", \"gender\": 0, \"id\": 1207281, \"name\": \"Allan Henry\", \"order\": 65}, {\"cast_id\": 87, \"character\": \"Ground Technician (uncredited)\", \"credit_id\": \"52fe48019251416c750acb33\", \"gender\": 2, \"id\": 1207282, \"name\": \"Anthony Ingruber\", \"order\": 66}, {\"cast_id\": 88, \"character\": \"Flight Crew Mechanic (uncredited)\", \"credit_id\": \"52fe48019251416c750acb37\", \"gender\": 0, \"id\": 1207283, \"name\": \"Ashley Jeffery\", \"order\": 67}, {\"cast_id\": 14, \"character\": \"Samson Pilot\", \"credit_id\": \"52fe48009251416c750ac9f9\", \"gender\": 0, \"id\": 98216, \"name\": \"Dean Knowsley\", \"order\": 68}, {\"cast_id\": 89, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb3b\", \"gender\": 0, \"id\": 1201399, \"name\": \"Joseph Mika-Hunt\", \"order\": 69}, {\"cast_id\": 90, \"character\": \"Banshee (uncredited)\", \"credit_id\": \"52fe48019251416c750acb3f\", \"gender\": 0, \"id\": 236696, \"name\": \"Terry Notary\", \"order\": 70}, {\"cast_id\": 91, \"character\": \"Soldier (uncredited)\", \"credit_id\": \"52fe48019251416c750acb43\", \"gender\": 0, \"id\": 1207287, \"name\": \"Kai Pantano\", \"order\": 71}, {\"cast_id\": 92, \"character\": \"Blast Technician (uncredited)\", \"credit_id\": \"52fe48019251416c750acb47\", \"gender\": 0, \"id\": 1207288, \"name\": \"Logan Pithyou\", \"order\": 72}, {\"cast_id\": 93, \"character\": \"Vindum Raah (uncredited)\", \"credit_id\": \"52fe48019251416c750acb4b\", \"gender\": 0, \"id\": 1207289, \"name\": \"Stuart Pollock\", \"order\": 73}, {\"cast_id\": 94, \"character\": \"Hero (uncredited)\", \"credit_id\": \"52fe48019251416c750acb4f\", \"gender\": 0, \"id\": 584868, \"name\": \"Raja\", \"order\": 74}, {\"cast_id\": 95, \"character\": \"Ops Centreworker (uncredited)\", \"credit_id\": \"52fe48019251416c750acb53\", \"gender\": 0, \"id\": 1207290, \"name\": \"Gareth Ruck\", \"order\": 75}, {\"cast_id\": 96, \"character\": \"Engineer (uncredited)\", \"credit_id\": \"52fe48019251416c750acb57\", \"gender\": 0, \"id\": 1062463, \"name\": \"Rhian Sheehan\", \"order\": 76}, {\"cast_id\": 97, \"character\": \"Col. Quaritch\\'s Mech Suit (uncredited)\", \"credit_id\": \"52fe48019251416c750acb5b\", \"gender\": 0, \"id\": 60656, \"name\": \"T. J. Storm\", \"order\": 77}, {\"cast_id\": 98, \"character\": \"Female Marine (uncredited)\", \"credit_id\": \"52fe48019251416c750acb5f\", \"gender\": 0, \"id\": 1207291, \"name\": \"Jodie Taylor\", \"order\": 78}, {\"cast_id\": 99, \"character\": \"Ikran Clan Leader (uncredited)\", \"credit_id\": \"52fe48019251416c750acb63\", \"gender\": 1, \"id\": 1186027, \"name\": \"Alicia Vela-Bailey\", \"order\": 79}, {\"cast_id\": 100, \"character\": \"Geologist (uncredited)\", \"credit_id\": \"52fe48019251416c750acb67\", \"gender\": 0, \"id\": 1207292, \"name\": \"Richard Whiteside\", \"order\": 80}, {\"cast_id\": 101, \"character\": \"Na\\'vi (uncredited)\", \"credit_id\": \"52fe48019251416c750acb6b\", \"gender\": 0, \"id\": 103259, \"name\": \"Nikie Zambo\", \"order\": 81}, {\"cast_id\": 102, \"character\": \"Ambient Room Tech / Troupe\", \"credit_id\": \"52fe48019251416c750acb6f\", \"gender\": 1, \"id\": 42286, \"name\": \"Julene Renee\", \"order\": 82}]'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 245
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import ast\n",
        "\n",
        "def convert_cast(text):\n",
        "  l = []\n",
        "  counter = 0\n",
        "  for i in ast.literal_eval(text):\n",
        "    if counter < 3:\n",
        "      l.append(i['name'])\n",
        "    counter += 1\n",
        "  return l"
      ],
      "metadata": {
        "id": "zEPBui-_n0Mh"
      },
      "execution_count": 246,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['cast'] = movies['cast'].apply(convert_cast)"
      ],
      "metadata": {
        "id": "Xqhb-BFboYDt"
      },
      "execution_count": 247,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "psSOspxIol1A",
        "outputId": "c3fcba98-13b5-46fa-95de-32f1d9b8b2c1"
      },
      "execution_count": 248,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [culture clash, future, space war, space colon...   \n",
              "1  [ocean, drug abuse, exotic island, east india ...   \n",
              "\n",
              "                                               cast  \\\n",
              "0  [Sam Worthington, Zoe Saldana, Sigourney Weaver]   \n",
              "1     [Johnny Depp, Orlando Bloom, Keira Knightley]   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-53e8da4f-acfa-40c4-bbd4-8912e1e01624\" 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>id</th>\n",
              "      <th>title</th>\n",
              "      <th>overview</th>\n",
              "      <th>genres</th>\n",
              "      <th>keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>19995</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
              "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
              "      <td>[culture clash, future, space war, space colon...</td>\n",
              "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weaver]</td>\n",
              "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
              "      <td>[ocean, drug abuse, exotic island, east india ...</td>\n",
              "      <td>[Johnny Depp, Orlando Bloom, Keira Knightley]</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-53e8da4f-acfa-40c4-bbd4-8912e1e01624')\"\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",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      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-53e8da4f-acfa-40c4-bbd4-8912e1e01624 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-53e8da4f-acfa-40c4-bbd4-8912e1e01624');\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-a490a49e-cc77-4b9b-8c4a-365431cfc57b\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a490a49e-cc77-4b9b-8c4a-365431cfc57b')\"\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-a490a49e-cc77-4b9b-8c4a-365431cfc57b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
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            }
          },
          "metadata": {},
          "execution_count": 248
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies.iloc[0]['crew']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 109
        },
        "id": "a7b4H8KsoqKY",
        "outputId": "7c3893cd-5f18-4c1f-87b5-6f428d6ad15f"
      },
      "execution_count": 249,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 249
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import ast\n",
        "\n",
        "def fetch_director(text):\n",
        "  l = []\n",
        "\n",
        "  for i in ast.literal_eval(text):\n",
        "    if i['job'] == 'Director':\n",
        "      l.append(i['name'])\n",
        "      break\n",
        "  return l"
      ],
      "metadata": {
        "id": "awP3q1P9o0Cn"
      },
      "execution_count": 250,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['crew'] = movies['crew'].apply(fetch_director)"
      ],
      "metadata": {
        "id": "L3LHa-EapXF8"
      },
      "execution_count": 251,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "zT3lqGpapg0Y",
        "outputId": "a48b3f48-3067-4e75-c873-0cc4744427cf"
      },
      "execution_count": 252,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [culture clash, future, space war, space colon...   \n",
              "1  [ocean, drug abuse, exotic island, east india ...   \n",
              "\n",
              "                                               cast              crew  \n",
              "0  [Sam Worthington, Zoe Saldana, Sigourney Weaver]   [James Cameron]  \n",
              "1     [Johnny Depp, Orlando Bloom, Keira Knightley]  [Gore Verbinski]  "
            ],
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              "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
              "      <td>[culture clash, future, space war, space colon...</td>\n",
              "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weaver]</td>\n",
              "      <td>[James Cameron]</td>\n",
              "    </tr>\n",
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              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
              "      <td>[ocean, drug abuse, exotic island, east india ...</td>\n",
              "      <td>[Johnny Depp, Orlando Bloom, Keira Knightley]</td>\n",
              "      <td>[Gore Verbinski]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3adfe900-e9c2-4283-a2be-536dcaeee843')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      width: 32px;\n",
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              "\n",
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              "      fill: #FFFFFF;\n",
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              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-3adfe900-e9c2-4283-a2be-536dcaeee843 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-3adfe900-e9c2-4283-a2be-536dcaeee843');\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",
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              "\n",
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              "     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",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "    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-150c3f0e-4df4-4258-9fea-fd8d3c378139 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. And that's just the first of the bodies to pile up before Kyle can walk down the aisle...\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 252
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies.iloc[0]['overview']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "yKomNZQOpjsK",
        "outputId": "b746c42c-9c04-4eb7-b654-a04a6e2c828a"
      },
      "execution_count": 253,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'In the 22nd century, a paraplegic Marine is dispatched to the moon Pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization.'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 253
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(movies.iloc[0]['overview'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gx8TELIdqed0",
        "outputId": "c503b7be-06f0-4116-d60f-84b1bfe86fdf"
      },
      "execution_count": 254,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {},
          "execution_count": 254
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies['overview'] = movies['overview'].apply(lambda x:x.split() )"
      ],
      "metadata": {
        "id": "HLUHQmpDp66C"
      },
      "execution_count": 255,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "4wGcFxS_qXAk",
        "outputId": "32268b6a-9951-4139-ac4f-051a367ed838"
      },
      "execution_count": 256,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  [In, the, 22nd, century,, a, paraplegic, Marin...   \n",
              "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [culture clash, future, space war, space colon...   \n",
              "1  [ocean, drug abuse, exotic island, east india ...   \n",
              "\n",
              "                                               cast              crew  \n",
              "0  [Sam Worthington, Zoe Saldana, Sigourney Weaver]   [James Cameron]  \n",
              "1     [Johnny Depp, Orlando Bloom, Keira Knightley]  [Gore Verbinski]  "
            ],
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              "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weaver]</td>\n",
              "      <td>[James Cameron]</td>\n",
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              "      <th>1</th>\n",
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              "      <td>Pirates of the Caribbean: At World's End</td>\n",
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              "      <td>[Gore Verbinski]</td>\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e48dc3a7-051e-455d-bde1-75b813ca0951 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-e48dc3a7-051e-455d-bde1-75b813ca0951');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
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              "\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
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              "\n",
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              "    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-32d89a0a-5cb8-4453-a8e9-0ad50497c085 button');\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
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            }
          },
          "metadata": {},
          "execution_count": 256
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(movies.iloc[0]['overview'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qwIZGHIYqZWf",
        "outputId": "9a4b0254-4665-4f26-a9af-f38e7988722f"
      },
      "execution_count": 257,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "list"
            ]
          },
          "metadata": {},
          "execution_count": 257
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Concatinating\n",
        "eg : Sam Worthington to SamWorthington"
      ],
      "metadata": {
        "id": "OXff5NA4rPzJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def remove_space(word):\n",
        "  l = []\n",
        "  for i in word:\n",
        "    l.append(i.replace(\" \",\"\"))\n",
        "  return l"
      ],
      "metadata": {
        "id": "VuVMZ8pdq-f2"
      },
      "execution_count": 258,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['cast'] = movies['cast'].apply(remove_space)\n",
        "movies['crew'] = movies['crew'].apply(remove_space)\n",
        "movies['genres'] = movies['genres'].apply(remove_space)\n",
        "movies['keywords'] = movies['keywords'].apply(remove_space)"
      ],
      "metadata": {
        "id": "Ldi7dEaGrSe7"
      },
      "execution_count": 259,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "1qpgEDTysepY",
        "outputId": "fb339a50-59e3-4be7-95e6-72a2c076277c"
      },
      "execution_count": 260,
      "outputs": [
        {
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              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  [In, the, 22nd, century,, a, paraplegic, Marin...   \n",
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              "                                         genres  \\\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 260
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies.iloc[0]['cast']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yAnqcZrjs0Vw",
        "outputId": "95450135-be08-4220-adec-236d74b00f5a"
      },
      "execution_count": 261,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['SamWorthington', 'ZoeSaldana', 'SigourneyWeaver']"
            ]
          },
          "metadata": {},
          "execution_count": 261
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Concatinating all the colums to tag colum"
      ],
      "metadata": {
        "id": "dA3a1z8TuCts"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "movies['tags'] = movies['overview'] + movies['genres'] + movies['keywords'] + movies['cast'] + movies['crew']"
      ],
      "metadata": {
        "id": "IizEtOLes-Xr"
      },
      "execution_count": 262,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head(2)"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 147
        },
        "id": "XmQtIPjyuLo5",
        "outputId": "c75111a5-b2b9-4b0f-d222-46e40f424316"
      },
      "execution_count": 263,
      "outputs": [
        {
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              "      id                                     title  \\\n",
              "0  19995                                    Avatar   \n",
              "1    285  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  \\\n",
              "0  [In, the, 22nd, century,, a, paraplegic, Marin...   \n",
              "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
              "\n",
              "                                         genres  \\\n",
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              "1                  [Adventure, Fantasy, Action]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [cultureclash, future, spacewar, spacecolony, ...   \n",
              "1  [ocean, drugabuse, exoticisland, eastindiatrad...   \n",
              "\n",
              "                                            cast             crew  \\\n",
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              "1     [JohnnyDepp, OrlandoBloom, KeiraKnightley]  [GoreVerbinski]   \n",
              "\n",
              "                                                tags  \n",
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              "1  [Captain, Barbossa,, long, believed, to, be, d...  "
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              "      <td>[JamesCameron]</td>\n",
              "      <td>[In, the, 22nd, century,, a, paraplegic, Marin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>[Captain, Barbossa,, long, believed, to, be, d...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
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              "      <td>[JohnnyDepp, OrlandoBloom, KeiraKnightley]</td>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
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              "      background-color: #3B4455;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-7f6a6d70-c445-4eda-a66c-e0aaf4353ebd');\n",
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              "                                                    [key], {});\n",
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              "\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",
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              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "    </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",
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              "      --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",
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              "    20% {\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    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",
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              "    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-dac3f985-e4fc-4b35-b207-fc7f2ac2a1a1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tags\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 263
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies.iloc[0]['tags']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wMgQhgcHuyIk",
        "outputId": "810b86c4-17df-477f-8e87-e6a5593a85c5"
      },
      "execution_count": 264,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['In',\n",
              " 'the',\n",
              " '22nd',\n",
              " 'century,',\n",
              " 'a',\n",
              " 'paraplegic',\n",
              " 'Marine',\n",
              " 'is',\n",
              " 'dispatched',\n",
              " 'to',\n",
              " 'the',\n",
              " 'moon',\n",
              " 'Pandora',\n",
              " 'on',\n",
              " 'a',\n",
              " 'unique',\n",
              " 'mission,',\n",
              " 'but',\n",
              " 'becomes',\n",
              " 'torn',\n",
              " 'between',\n",
              " 'following',\n",
              " 'orders',\n",
              " 'and',\n",
              " 'protecting',\n",
              " 'an',\n",
              " 'alien',\n",
              " 'civilization.',\n",
              " 'Action',\n",
              " 'Adventure',\n",
              " 'Fantasy',\n",
              " 'ScienceFiction',\n",
              " 'cultureclash',\n",
              " 'future',\n",
              " 'spacewar',\n",
              " 'spacecolony',\n",
              " 'society',\n",
              " 'spacetravel',\n",
              " 'futuristic',\n",
              " 'romance',\n",
              " 'space',\n",
              " 'alien',\n",
              " 'tribe',\n",
              " 'alienplanet',\n",
              " 'cgi',\n",
              " 'marine',\n",
              " 'soldier',\n",
              " 'battle',\n",
              " 'loveaffair',\n",
              " 'antiwar',\n",
              " 'powerrelations',\n",
              " 'mindandsoul',\n",
              " '3d',\n",
              " 'SamWorthington',\n",
              " 'ZoeSaldana',\n",
              " 'SigourneyWeaver',\n",
              " 'JamesCameron']"
            ]
          },
          "metadata": {},
          "execution_count": 264
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df = movies[['id','title','tags']]"
      ],
      "metadata": {
        "id": "782JdNtau445"
      },
      "execution_count": 265,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "xj2aeAAevUrY",
        "outputId": "3ac53889-4ab4-40a9-8aae-0257795f89bc"
      },
      "execution_count": 266,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       id                                     title  \\\n",
              "0   19995                                    Avatar   \n",
              "1     285  Pirates of the Caribbean: At World's End   \n",
              "2  206647                                   Spectre   \n",
              "3   49026                     The Dark Knight Rises   \n",
              "4   49529                               John Carter   \n",
              "\n",
              "                                                tags  \n",
              "0  [In, the, 22nd, century,, a, paraplegic, Marin...  \n",
              "1  [Captain, Barbossa,, long, believed, to, be, d...  \n",
              "2  [A, cryptic, message, from, Bond’s, past, send...  \n",
              "3  [Following, the, death, of, District, Attorney...  \n",
              "4  [John, Carter, is, a, war-weary,, former, mili...  "
            ],
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        const element = document.querySelector('#df-a2e6288c-a728-41fe-b3c9-d954fb6395a6');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "        <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-d65c655e-5e27-432b-87fc-deb4a1c6c8c3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "new_df",
              "summary": "{\n  \"name\": \"new_df\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tags\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 266
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df['tags'] = new_df['tags'].apply(lambda x: \" \".join(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K1jpV2OgvnOZ",
        "outputId": "1b480bae-b0bb-4db6-eae9-cacc54aded35"
      },
      "execution_count": 267,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-267-e498c0e361a2>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  new_df['tags'] = new_df['tags'].apply(lambda x: \" \".join(x))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "oP5E-NPWv-7i",
        "outputId": "0fe5f917-aae7-4de1-a71c-befd391237cb"
      },
      "execution_count": 268,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       id                                     title  \\\n",
              "0   19995                                    Avatar   \n",
              "1     285  Pirates of the Caribbean: At World's End   \n",
              "2  206647                                   Spectre   \n",
              "3   49026                     The Dark Knight Rises   \n",
              "4   49529                               John Carter   \n",
              "\n",
              "                                                tags  \n",
              "0  In the 22nd century, a paraplegic Marine is di...  \n",
              "1  Captain Barbossa, long believed to be dead, ha...  \n",
              "2  A cryptic message from Bond’s past sends him o...  \n",
              "3  Following the death of District Attorney Harve...  \n",
              "4  John Carter is a war-weary, former military ca...  "
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              "      <th>2</th>\n",
              "      <td>206647</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>49026</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>Following the death of District Attorney Harve...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>John Carter is a war-weary, former military ca...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2ad525c1-98d4-4ed5-b2ed-29a5e7b01bd6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "\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-2ad525c1-98d4-4ed5-b2ed-29a5e7b01bd6 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-2ad525c1-98d4-4ed5-b2ed-29a5e7b01bd6');\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",
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              "\n",
              "\n",
              "<div id=\"df-37b19413-b4bd-4489-8537-758f21f5581a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-37b19413-b4bd-4489-8537-758f21f5581a')\"\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",
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              "    </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-37b19413-b4bd-4489-8537-758f21f5581a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "new_df",
              "summary": "{\n  \"name\": \"new_df\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tags\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4806,\n        \"samples\": [\n          \"An emotionally-beaten man with his young daughter moves to his ancestral home in Newfoundland to reclaim his life. Drama Romance sex adultery basedonnovel fishing isolation kidnapping newfoundland survival reporter drunk KevinSpacey JulianneMoore CateBlanchett LasseHallstr\\u00f6m\",\n          \"Special Agent Strahm is dead, and Detective Hoffman has emerged as the unchallenged successor to Jigsaw's legacy. However, when the FBI draws closer to Hoffman, he is forced to set a game into motion, and Jigsaw's grand scheme is finally understood. Horror Mystery aftercreditsstinger TobinBell CostasMandylor BetsyRussell KevinGreutert\",\n          \"Combat has taken its toll on Rambo, but he's finally begun to find inner peace in a monastery. When Rambo's friend and mentor Col. Trautman asks for his help on a top secret mission to Afghanistan, Rambo declines but must reconsider when Trautman is captured. Action Adventure Thriller War competition submachinegun sovietunion liberation russian soviettroops thailand freedomfighter afghanistan waronfreedom machinegun mujahid realityshow western japanesefood soapopera SylvesterStallone RichardCrenna KurtwoodSmith PeterMacDonald\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 268
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.iloc[0]['tags']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "id": "WdOk594UwJ_a",
        "outputId": "88b8c2ea-07b7-44d5-95fc-49700ec51790"
      },
      "execution_count": 269,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'In the 22nd century, a paraplegic Marine is dispatched to the moon Pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization. Action Adventure Fantasy ScienceFiction cultureclash future spacewar spacecolony society spacetravel futuristic romance space alien tribe alienplanet cgi marine soldier battle loveaffair antiwar powerrelations mindandsoul 3d SamWorthington ZoeSaldana SigourneyWeaver JamesCameron'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 269
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "converting all tags to lower case lettrs"
      ],
      "metadata": {
        "id": "hnCLciGawv8S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())\n",
        "new_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "id": "rRjWhuIuwT3L",
        "outputId": "5e5c208c-549c-4506-e17d-d1265b67d688"
      },
      "execution_count": 270,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-270-1f538ec4ed69>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       id                                     title  \\\n",
              "0   19995                                    Avatar   \n",
              "1     285  Pirates of the Caribbean: At World's End   \n",
              "2  206647                                   Spectre   \n",
              "3   49026                     The Dark Knight Rises   \n",
              "4   49529                               John Carter   \n",
              "\n",
              "                                                tags  \n",
              "0  in the 22nd century, a paraplegic marine is di...  \n",
              "1  captain barbossa, long believed to be dead, ha...  \n",
              "2  a cryptic message from bond’s past sends him o...  \n",
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              "      async function convertToInteractive(key) {\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --fill-color: #D2E3FC;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    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",
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              "    60% {\n",
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              "      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-809b3037-cc7f-4a02-b20b-746aed7c9dcc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "new_df",
              "summary": "{\n  \"name\": \"new_df\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tags\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4806,\n        \"samples\": [\n          \"an emotionally-beaten man with his young daughter moves to his ancestral home in newfoundland to reclaim his life. drama romance sex adultery basedonnovel fishing isolation kidnapping newfoundland survival reporter drunk kevinspacey juliannemoore cateblanchett lassehallstr\\u00f6m\",\n          \"special agent strahm is dead, and detective hoffman has emerged as the unchallenged successor to jigsaw's legacy. however, when the fbi draws closer to hoffman, he is forced to set a game into motion, and jigsaw's grand scheme is finally understood. horror mystery aftercreditsstinger tobinbell costasmandylor betsyrussell kevingreutert\",\n          \"combat has taken its toll on rambo, but he's finally begun to find inner peace in a monastery. when rambo's friend and mentor col. trautman asks for his help on a top secret mission to afghanistan, rambo declines but must reconsider when trautman is captured. action adventure thriller war competition submachinegun sovietunion liberation russian soviettroops thailand freedomfighter afghanistan waronfreedom machinegun mujahid realityshow western japanesefood soapopera sylvesterstallone richardcrenna kurtwoodsmith petermacdonald\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 270
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.iloc[0]['tags']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "id": "kYHyybvMwm2W",
        "outputId": "50244e86-3d00-4605-b676-415e2f99d8d0"
      },
      "execution_count": 271,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'in the 22nd century, a paraplegic marine is dispatched to the moon pandora on a unique mission, but becomes torn between following orders and protecting an alien civilization. action adventure fantasy sciencefiction cultureclash future spacewar spacecolony society spacetravel futuristic romance space alien tribe alienplanet cgi marine soldier battle loveaffair antiwar powerrelations mindandsoul 3d samworthington zoesaldana sigourneyweaver jamescameron'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 271
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mknMCS8rwsw7",
        "outputId": "67b13349-0963-4ac0-e05e-3a0b54f5cb94"
      },
      "execution_count": 272,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4806, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 272
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Stem Operation**\n",
        "eg: 'love', 'loved', 'loving' are same words. need to converts to one word 'love'"
      ],
      "metadata": {
        "id": "SaFX5OTb1l8F"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import nltk\n",
        "from nltk.stem import PorterStemmer"
      ],
      "metadata": {
        "id": "HVrOVABcz0wQ"
      },
      "execution_count": 273,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ps = PorterStemmer()"
      ],
      "metadata": {
        "id": "NpXX82Tu1ljl"
      },
      "execution_count": 274,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def stems(text):\n",
        "  l = []\n",
        "  for i in text.split():\n",
        "    l.append(ps.stem(i))\n",
        "\n",
        "  return \" \".join(l)\n"
      ],
      "metadata": {
        "id": "quUX-KwB56kz"
      },
      "execution_count": 282,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_df['tags'] = new_df['tags'].apply(stems)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_b93GhXc6nL8",
        "outputId": "e8a78dbc-eaf7-4adc-8d35-76fded40fd3f"
      },
      "execution_count": 283,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-283-ebce1bd97223>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  new_df['tags'] = new_df['tags'].apply(stems)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df.iloc[0]['tags']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "id": "BNQK-Ywy6pXb",
        "outputId": "bd943a19-f1e0-4956-c31f-1adf540cd4b7"
      },
      "execution_count": 284,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'in the 22nd century, a parapleg marin is dispatch to the moon pandora on a uniqu mission, but becom torn between follow order and protect an alien civilization. action adventur fantasi sciencefict cultureclash futur spacewar spacecoloni societi spacetravel futurist romanc space alien tribe alienplanet cgi marin soldier battl loveaffair antiwar powerrel mindandsoul 3d samworthington zoesaldana sigourneyweav jamescameron'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 284
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now text is ready to use. Next need to perform counter vectorizer\n",
        "and remove stop words\n",
        "\n",
        "When you use this cv object to fit and transform text data, it will:\n",
        "\n",
        "* Split the text into tokens (words or phrases).\n",
        "* Count the occurrences of each token in each document.\n",
        "* Filter out stop words.\n",
        "* Keep only the top 5000 most frequent tokens."
      ],
      "metadata": {
        "id": "d7aqKvKn7qS0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Perform CountVectorizer"
      ],
      "metadata": {
        "id": "8yLDWz3VIxQm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "cv = CountVectorizer(max_features = 5000, stop_words = 'english')"
      ],
      "metadata": {
        "id": "hlEwCcLs7cxh"
      },
      "execution_count": 289,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "vector = cv.fit_transform(new_df['tags']).toarray()"
      ],
      "metadata": {
        "id": "5Z1Bvk2Z9siJ"
      },
      "execution_count": 290,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "vector"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hCdKM6W1-U1F",
        "outputId": "9e6f33ba-5cfe-46bd-bdd1-679229ff8c17"
      },
      "execution_count": 291,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       ...,\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0],\n",
              "       [0, 0, 0, ..., 0, 0, 0]])"
            ]
          },
          "metadata": {},
          "execution_count": 291
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vector.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_Fe1Ynr3-WhN",
        "outputId": "83662c3f-1a0f-4148-99a6-705bf22b25ae"
      },
      "execution_count": 292,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4806, 5000)"
            ]
          },
          "metadata": {},
          "execution_count": 292
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics.pairwise import cosine_similarity"
      ],
      "metadata": {
        "id": "R7T2UEw6_HA9"
      },
      "execution_count": 293,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "similarity = cosine_similarity(vector)"
      ],
      "metadata": {
        "id": "kz5IAHQ4_3M3"
      },
      "execution_count": 294,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "similarity"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OGenvihQ__Vh",
        "outputId": "714d8b07-d6d3-4974-d6de-5f8f420f45ac"
      },
      "execution_count": 295,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.        , 0.08346223, 0.0860309 , ..., 0.04499213, 0.        ,\n",
              "        0.        ],\n",
              "       [0.08346223, 1.        , 0.06063391, ..., 0.02378257, 0.        ,\n",
              "        0.02615329],\n",
              "       [0.0860309 , 0.06063391, 1.        , ..., 0.02451452, 0.        ,\n",
              "        0.        ],\n",
              "       ...,\n",
              "       [0.04499213, 0.02378257, 0.02451452, ..., 1.        , 0.03962144,\n",
              "        0.04229549],\n",
              "       [0.        , 0.        , 0.        , ..., 0.03962144, 1.        ,\n",
              "        0.08714204],\n",
              "       [0.        , 0.02615329, 0.        , ..., 0.04229549, 0.08714204,\n",
              "        1.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 295
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "similarity.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wrcYq4ioAMSR",
        "outputId": "91b132bf-6883-4cc1-b232-93f8041a128b"
      },
      "execution_count": 297,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4806, 4806)"
            ]
          },
          "metadata": {},
          "execution_count": 297
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df[new_df['title']=='Spider-Man'].index[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "byyPHDTKAVgz",
        "outputId": "db65b59b-8662-4aba-9c8e-580b19b5b83a"
      },
      "execution_count": 298,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "159"
            ]
          },
          "metadata": {},
          "execution_count": 298
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def recommend(movie):\n",
        "  index = new_df[new_df['title']== movie].index[0]\n",
        "  distances = sorted(list(enumerate(similarity[index])), reverse = True, key = lambda x: x[1])\n",
        "  for i in distances[1:6]:\n",
        "    print(new_df.iloc[i[0]].title)"
      ],
      "metadata": {
        "id": "0SK6Nl83A3mb"
      },
      "execution_count": 301,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "recommend('Spider-Man')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NWy5Joz7DX5a",
        "outputId": "8e7798cf-d227-4acf-93ac-5eb3ab6c1aa6"
      },
      "execution_count": 303,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Spider-Man 3\n",
            "Spider-Man 2\n",
            "The Amazing Spider-Man 2\n",
            "Arachnophobia\n",
            "Kick-Ass\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "recommend('Spectre')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P36ED8PGDmE7",
        "outputId": "12ecb964-fa45-41c7-a0d1-98f2646ff247"
      },
      "execution_count": 304,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Quantum of Solace\n",
            "Skyfall\n",
            "Never Say Never Again\n",
            "From Russia with Love\n",
            "Octopussy\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "\n",
        "pickle.dump(new_df, open('/content/drive/My Drive/data science/Movie Recommendation System/artifacts/movie_list.pkl','wb'))\n",
        "pickle.dump(new_df, open('/content/drive/My Drive/data science/Movie Recommendation System/artifacts/similarity.pkl','wb'))"
      ],
      "metadata": {
        "id": "5TmJyRhQE4u6"
      },
      "execution_count": 305,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "DanTCzJWGucR"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "1b7AE-mvtbE5mmijCVNo6w8Ek_79kWXrl",
      "authorship_tag": "ABX9TyM0Db9eOsS6HJsQXedUzgU5",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}