diff --git "a/tmdb/tmdb_fetcher.ipynb" "b/tmdb/tmdb_fetcher.ipynb"
new file mode 100644--- /dev/null
+++ "b/tmdb/tmdb_fetcher.ipynb"
@@ -0,0 +1,5830 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+  "colab": {
+   "provenance": [],
+   "authorship_tag": "ABX9TyOiIly2Sbqke2mc5VEtbooQ"
+  },
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# TMDB Dataset\n",
+    "\n",
+    "This notebook contains recipe to fetch raw data from tmdb API and convert it into useful Dataset.\n",
+    "\n",
+    "Date: 05.31, 2024\n",
+    "\n",
+    "Dataset Source: [The Movie Database (TMDB)](https://www.themoviedb.org/)\n",
+    "\n",
+    "API Documents: [TMDB API](https://developer.themoviedb.org/docs)\n",
+    "\n",
+    "Reference Notebook: [Creating dataset using tmdb API | Kaggle](https://www.kaggle.com/code/ursmaheshj/creating-dataset-using-tmdb-api/notebook)."
+   ],
+   "metadata": {
+    "id": "gFA3c2WvcgKj"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "from google.colab import drive\n",
+    "drive.mount('/content/drive/')"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "WpoKbmq7cqms",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717164311115,
+     "user_tz": -480,
+     "elapsed": 24007,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "ba1ae029-ae38-4cf6-c473-676595437619"
+   },
+   "execution_count": 1,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Mounted at /content/drive/\n"
+     ]
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "import os\n",
+    "path=\"/content/drive/MyDrive/TMDB\"\n",
+    "os.chdir(path)\n",
+    "os.listdir(path)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "_YNkB4M9cwxZ",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717164314809,
+     "user_tz": -480,
+     "elapsed": 398,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "1aa83767-1219-4f46-8eb9-afcba19c6df1"
+   },
+   "execution_count": 2,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "['TMDB_Dataset_Fetcher.ipynb',\n",
+       " 'ARTA.csv',\n",
+       " 'ARTA_en.csv',\n",
+       " 'credits.csv',\n",
+       " 'Movies.csv',\n",
+       " 'TMDB_Fetcher.ipynb',\n",
+       " 'TMDB_Builder.ipynb']"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 2
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "import pandas as pd\n",
+    "import requests"
+   ],
+   "metadata": {
+    "id": "PQ6rnhXTc1JG",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717164317964,
+     "user_tz": -480,
+     "elapsed": 991,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 3,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "# Your API Key\n",
+    "api_key = ''"
+   ],
+   "metadata": {
+    "id": "wkupFljNc3ZJ",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165357017,
+     "user_tz": -480,
+     "elapsed": 2,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 29,
+   "outputs": []
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Movies\n",
+    "\n",
+    "Selected genres and corresponding genre_ids.\n",
+    "\n",
+    "| Id    | Genre     |\n",
+    "| ----- | :-------- |\n",
+    "| 28    | Action    |\n",
+    "| 10749 | Romance   |\n",
+    "| 53    | Thriller  |\n",
+    "| 16    | Animation |\n"
+   ],
+   "metadata": {
+    "id": "6fIoGB_idPnp"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page=1&sort_by=popularity.desc\\\n",
+    "&with_genres=28&without_genres=10749%2C53%2C16\\\n",
+    "&api_key={api_key}\"\n",
+    "response = requests.get(url)\n",
+    "print(f\"Action {response.json()['total_pages']}pages, {response.json()['total_results']} results\")\n",
+    "\n",
+    "url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page=1&sort_by=popularity.desc\\\n",
+    "&with_genres=10749&without_genres=28%2C53%2C16\\\n",
+    "&api_key={api_key}\"\n",
+    "response = requests.get(url)\n",
+    "print(f\"Romance {response.json()['total_pages']}pages, {response.json()['total_results']} results\")\n",
+    "\n",
+    "url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page=1&sort_by=popularity.desc\\\n",
+    "&with_genres=53&without_genres=10749%2C28%2C16\\\n",
+    "&api_key={api_key}\"\n",
+    "response = requests.get(url)\n",
+    "print(f\"Thriller {response.json()['total_pages']}pages, {response.json()['total_results']} results\")\n",
+    "\n",
+    "url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page=1&sort_by=popularity.desc\\\n",
+    "&with_genres=16&without_genres=10749%2C53%2C28\\\n",
+    "&api_key={api_key}\"\n",
+    "response = requests.get(url)\n",
+    "print(f\"Animation {response.json()['total_pages']}pages, {response.json()['total_results']} results\")"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "UvOTuT_7h1FO",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717134670721,
+     "user_tz": -480,
+     "elapsed": 1786,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "8b9e0284-5b53-44bf-a59a-7e1021d606e2"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Action 1399pages, 27972 results\n",
+      "Romance 2267pages, 45325 results\n",
+      "Thriller 1768pages, 35354 results\n",
+      "Animation 2509pages, 50178 results\n"
+     ]
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Data Collection\n"
+   ],
+   "metadata": {
+    "id": "MxhK_wiShx9t"
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Action\n",
+    "\n",
+    "Action: 140 pages"
+   ],
+   "metadata": {
+    "id": "lB1_w50Am0pO"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "%%time\n",
+    "# We will first create an empty dataframe to store all the movie detail\n",
+    "actions = pd.DataFrame()\n",
+    "\n",
+    "# Our for loop will iterate through each page, get json data convert it into dataframe and append it to original dataframe\n",
+    "for i in range(1,141):\n",
+    "        url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page={i}&sort_by=popularity.desc\\\n",
+    "&with_genres=28&without_genres=10749%2C53%2C16\\\n",
+    "&api_key={api_key}\"\n",
+    "        response = requests.get(url)\n",
+    "        temporary_df = pd.DataFrame(response.json()['results'])\n",
+    "\n",
+    "        actions = pd.concat([actions,temporary_df],ignore_index=True)\n",
+    "actions.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "WmPwn-Fkj-VK",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717134825902,
+     "user_tz": -480,
+     "elapsed": 40535,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "c2809233-936d-48f1-e19c-d0bf5ee91068"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "CPU times: user 12.1 s, sys: 181 ms, total: 12.3 s\n",
+      "Wall time: 40.2 s\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(2800, 14)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 7
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Romance\n",
+    "\n",
+    "Romance: 227 pages"
+   ],
+   "metadata": {
+    "id": "oNz-T_TakU_q"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "%%time\n",
+    "# We will first create an empty dataframe to store all the movie detail\n",
+    "romances = pd.DataFrame()\n",
+    "\n",
+    "# Our for loop will iterate through each page, get json data convert it into dataframe and append it to original dataframe\n",
+    "for i in range(1,228):\n",
+    "        url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page={i}&sort_by=popularity.desc\\\n",
+    "&with_genres=10749&without_genres=28%2C53%2C16\\\n",
+    "&api_key={api_key}\"\n",
+    "        response = requests.get(url)\n",
+    "        temporary_df = pd.DataFrame(response.json()['results'])\n",
+    "\n",
+    "        romances = pd.concat([romances,temporary_df],ignore_index=True)\n",
+    "romances.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "0E26TM_gkihj",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717134901817,
+     "user_tz": -480,
+     "elapsed": 69491,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "39af37ca-66a1-47e1-9308-3ab5ceaec78f"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "CPU times: user 19.9 s, sys: 322 ms, total: 20.2 s\n",
+      "Wall time: 1min 8s\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(4540, 14)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 8
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Thriller\n",
+    "\n",
+    "Thriller: 177 pages"
+   ],
+   "metadata": {
+    "id": "W6I4GWtAk9Ii"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "%%time\n",
+    "# We will first create an empty dataframe to store all the movie detail\n",
+    "thrillers = pd.DataFrame()\n",
+    "\n",
+    "# Our for loop will iterate through each page, get json data convert it into dataframe and append it to original dataframe\n",
+    "for i in range(1,178):\n",
+    "        url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page={i}&sort_by=popularity.desc\\\n",
+    "&with_genres=53&without_genres=28%2C10749%2C16\\\n",
+    "&api_key={api_key}\"\n",
+    "        response = requests.get(url)\n",
+    "        temporary_df = pd.DataFrame(response.json()['results'])\n",
+    "\n",
+    "        thrillers = pd.concat([thrillers,temporary_df],ignore_index=True)\n",
+    "thrillers.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "UNTe3ibjk9u7",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717134976745,
+     "user_tz": -480,
+     "elapsed": 51897,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "adad773c-6b2f-443f-8202-d0e2b5e1d270"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "CPU times: user 15.5 s, sys: 273 ms, total: 15.8 s\n",
+      "Wall time: 51.5 s\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(3540, 14)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 9
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Animation\n",
+    "\n",
+    "Animation: 251 pages"
+   ],
+   "metadata": {
+    "id": "VIImiIUIlKnj"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "%%time\n",
+    "# We will first create an empty dataframe to store all the movie detail\n",
+    "animations = pd.DataFrame()\n",
+    "\n",
+    "# Our for loop will iterate through each page, get json data convert it into dataframe and append it to original dataframe\n",
+    "for i in range(1,252):\n",
+    "        url = f\"https://api.themoviedb.org/3/discover/movie?include_adult=false\\\n",
+    "&include_video=false&language=en-US&page={i}&sort_by=popularity.desc\\\n",
+    "&with_genres=16&without_genres=28%2C10749%2C53\\\n",
+    "&api_key={api_key}\"\n",
+    "        response = requests.get(url)\n",
+    "        temporary_df = pd.DataFrame(response.json()['results'])\n",
+    "\n",
+    "        animations = pd.concat([animations,temporary_df],ignore_index=True)\n",
+    "animations.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "nHFaxH5RlT16",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717135053509,
+     "user_tz": -480,
+     "elapsed": 76766,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "ce2d0847-2992-417d-cfb0-e4fa9cedb5bb"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "CPU times: user 21.4 s, sys: 387 ms, total: 21.8 s\n",
+      "Wall time: 1min 16s\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(5020, 14)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Data Preprocessing"
+   ],
+   "metadata": {
+    "id": "HU8zlHnqm5BE"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "actions.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 271
+    },
+    "id": "1MS4qpXXOY6r",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717135066622,
+     "user_tz": -480,
+     "elapsed": 505,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "a0e89df8-3998-4825-adce-2e8167751356"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "   adult                     backdrop_path        genre_ids      id  \\\n",
+       "0  False  /fqv8v6AycXKsivp1T5yKtLbGXce.jpg    [878, 12, 28]  653346   \n",
+       "1  False  /z121dSTR7PY9KxKuvwiIFSYW8cf.jpg  [10752, 28, 18]  929590   \n",
+       "\n",
+       "  original_language                     original_title  \\\n",
+       "0                en  Kingdom of the Planet of the Apes   \n",
+       "1                en                          Civil War   \n",
+       "\n",
+       "                                            overview  popularity  \\\n",
+       "0  Several generations in the future following Ca...    7113.603   \n",
+       "1  In the near future, a group of war journalists...    3151.038   \n",
+       "\n",
+       "                        poster_path release_date  \\\n",
+       "0  /gKkl37BQuKTanygYQG1pyYgLVgf.jpg   2024-05-08   \n",
+       "1  /sh7Rg8Er3tFcN9BpKIPOMvALgZd.jpg   2024-04-10   \n",
+       "\n",
+       "                               title  video  vote_average  vote_count  \n",
+       "0  Kingdom of the Planet of the Apes  False         7.012         694  \n",
+       "1                          Civil War  False         7.205        1062  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-a55e1959-1f53-4a0b-abce-68269349adfa\" 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>adult</th>\n",
+       "      <th>backdrop_path</th>\n",
+       "      <th>genre_ids</th>\n",
+       "      <th>id</th>\n",
+       "      <th>original_language</th>\n",
+       "      <th>original_title</th>\n",
+       "      <th>overview</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>poster_path</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>title</th>\n",
+       "      <th>video</th>\n",
+       "      <th>vote_average</th>\n",
+       "      <th>vote_count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>/fqv8v6AycXKsivp1T5yKtLbGXce.jpg</td>\n",
+       "      <td>[878, 12, 28]</td>\n",
+       "      <td>653346</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Kingdom of the Planet of the Apes</td>\n",
+       "      <td>Several generations in the future following Ca...</td>\n",
+       "      <td>7113.603</td>\n",
+       "      <td>/gKkl37BQuKTanygYQG1pyYgLVgf.jpg</td>\n",
+       "      <td>2024-05-08</td>\n",
+       "      <td>Kingdom of the Planet of the Apes</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7.012</td>\n",
+       "      <td>694</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>/z121dSTR7PY9KxKuvwiIFSYW8cf.jpg</td>\n",
+       "      <td>[10752, 28, 18]</td>\n",
+       "      <td>929590</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Civil War</td>\n",
+       "      <td>In the near future, a group of war journalists...</td>\n",
+       "      <td>3151.038</td>\n",
+       "      <td>/sh7Rg8Er3tFcN9BpKIPOMvALgZd.jpg</td>\n",
+       "      <td>2024-04-10</td>\n",
+       "      <td>Civil War</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7.205</td>\n",
+       "      <td>1062</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-a55e1959-1f53-4a0b-abce-68269349adfa')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-a55e1959-1f53-4a0b-abce-68269349adfa 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-a55e1959-1f53-4a0b-abce-68269349adfa');\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-fe6c8924-a2db-4f89-9d0e-0bfeb13f84e8\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fe6c8924-a2db-4f89-9d0e-0bfeb13f84e8')\"\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-fe6c8924-a2db-4f89-9d0e-0bfeb13f84e8 button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "actions",
+       "summary": "{\n  \"name\": \"actions\",\n  \"rows\": 2800,\n  \"fields\": [\n    {\n      \"column\": \"adult\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"backdrop_path\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2726,\n        \"samples\": [\n          \"/7pcS8bltNCczNHz8o60GV8Qfb3w.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 307920,\n        \"min\": 11,\n        \"max\": 1292801,\n        \"num_unique_values\": 2800,\n        \"samples\": [\n          598413\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_language\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 40,\n        \"samples\": [\n          \"ta\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2752,\n        \"samples\": [\n          \"Death Race 2050\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2792,\n        \"samples\": [\n          \"Taking place 4 years after the events of the Uchu Sentai Kyuranger TV series, the universe is at peace. But that changes when Hammie (Chameleon Green) attacks the Rebellion and steals the newly developed Neo Kyutama! Fearing its possible misuse once it falls into the wrong hands, Space Federation President Tsurugi Ohtori (Houou Soldier) declares Hammie wanted all across the universe. Lucky (Shishi Red) and some of the Kyurangers believe in Hammie, fighting against Tsurugi's decision, causing a rift amongst the Kyurangers. And where do Space Sheriff Gavan and Space Sheriff Shaider fit onto all this?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"popularity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 169.0615398088141,\n        \"min\": 6.887,\n        \"max\": 7113.603,\n        \"num_unique_values\": 2636,\n        \"samples\": [\n          8.003\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"poster_path\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2789,\n        \"samples\": [\n          \"/9iZjVn6Q5FJa92SQLcFMrskpES9.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2431,\n        \"samples\": [\n          \"2022-08-05\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2744,\n        \"samples\": [\n          \"Here Comes the Boom\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"video\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_average\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.2666812183599805,\n        \"min\": 0.0,\n        \"max\": 9.5,\n        \"num_unique_values\": 1418,\n        \"samples\": [\n          7.119\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3548,\n        \"min\": 0,\n        \"max\": 35776,\n        \"num_unique_values\": 1183,\n        \"samples\": [\n          876\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Merge DataFrames"
+   ],
+   "metadata": {
+    "id": "JddlznsRn3EM"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "actions['genre'] = 'Action'\n",
+    "romances['genre'] = 'Romance'\n",
+    "thrillers['genre'] = 'Thriller'\n",
+    "animations['genre'] = 'Animation'\n",
+    "\n",
+    "movies = pd.concat([actions, romances, thrillers, animations], ignore_index=True)\n",
+    "movies.to_csv('ARTA.csv',index=False)\n",
+    "movies.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "BUKSYLnPn8jy",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717135148061,
+     "user_tz": -480,
+     "elapsed": 1744,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "e45c5d37-eb5e-4500-f53f-a6b0b422d4cc"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(15900, 15)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 12
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies = pd.read_csv('ARTA.csv', lineterminator=\"\\n\")\n",
+    "movies.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 271
+    },
+    "id": "9TTf0JzHSUmd",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717136414056,
+     "user_tz": -480,
+     "elapsed": 857,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "4e816529-6936-4d8e-b179-27e1f9377a19"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "   adult                     backdrop_path        genre_ids      id  \\\n",
+       "0  False  /fqv8v6AycXKsivp1T5yKtLbGXce.jpg    [878, 12, 28]  653346   \n",
+       "1  False  /z121dSTR7PY9KxKuvwiIFSYW8cf.jpg  [10752, 28, 18]  929590   \n",
+       "\n",
+       "  original_language                     original_title  \\\n",
+       "0                en  Kingdom of the Planet of the Apes   \n",
+       "1                en                          Civil War   \n",
+       "\n",
+       "                                            overview  popularity  \\\n",
+       "0  Several generations in the future following Ca...    7113.603   \n",
+       "1  In the near future, a group of war journalists...    3151.038   \n",
+       "\n",
+       "                        poster_path release_date  \\\n",
+       "0  /gKkl37BQuKTanygYQG1pyYgLVgf.jpg   2024-05-08   \n",
+       "1  /sh7Rg8Er3tFcN9BpKIPOMvALgZd.jpg   2024-04-10   \n",
+       "\n",
+       "                               title  video  vote_average  vote_count   genre  \n",
+       "0  Kingdom of the Planet of the Apes  False         7.012         694  Action  \n",
+       "1                          Civil War  False         7.205        1062  Action  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-0e8c6703-012f-4efd-b68f-958f49b54374\" 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>adult</th>\n",
+       "      <th>backdrop_path</th>\n",
+       "      <th>genre_ids</th>\n",
+       "      <th>id</th>\n",
+       "      <th>original_language</th>\n",
+       "      <th>original_title</th>\n",
+       "      <th>overview</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>poster_path</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>title</th>\n",
+       "      <th>video</th>\n",
+       "      <th>vote_average</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>genre</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>/fqv8v6AycXKsivp1T5yKtLbGXce.jpg</td>\n",
+       "      <td>[878, 12, 28]</td>\n",
+       "      <td>653346</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Kingdom of the Planet of the Apes</td>\n",
+       "      <td>Several generations in the future following Ca...</td>\n",
+       "      <td>7113.603</td>\n",
+       "      <td>/gKkl37BQuKTanygYQG1pyYgLVgf.jpg</td>\n",
+       "      <td>2024-05-08</td>\n",
+       "      <td>Kingdom of the Planet of the Apes</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7.012</td>\n",
+       "      <td>694</td>\n",
+       "      <td>Action</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>/z121dSTR7PY9KxKuvwiIFSYW8cf.jpg</td>\n",
+       "      <td>[10752, 28, 18]</td>\n",
+       "      <td>929590</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Civil War</td>\n",
+       "      <td>In the near future, a group of war journalists...</td>\n",
+       "      <td>3151.038</td>\n",
+       "      <td>/sh7Rg8Er3tFcN9BpKIPOMvALgZd.jpg</td>\n",
+       "      <td>2024-04-10</td>\n",
+       "      <td>Civil War</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7.205</td>\n",
+       "      <td>1062</td>\n",
+       "      <td>Action</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-0e8c6703-012f-4efd-b68f-958f49b54374')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-0e8c6703-012f-4efd-b68f-958f49b54374 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-0e8c6703-012f-4efd-b68f-958f49b54374');\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-5ac40ac6-40c9-4a15-8b7e-ee07909c155b\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5ac40ac6-40c9-4a15-8b7e-ee07909c155b')\"\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-5ac40ac6-40c9-4a15-8b7e-ee07909c155b button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "movies",
+       "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 15900,\n  \"fields\": [\n    {\n      \"column\": \"adult\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"backdrop_path\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 14808,\n        \"samples\": [\n          \"/tQRmI2spaR2kAJocbGfBxzCtQGp.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre_ids\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2289,\n        \"samples\": [\n          \"[16, 35, 10751, 10770, 12, 14]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 336124,\n        \"min\": 2,\n        \"max\": 1295043,\n        \"num_unique_values\": 15900,\n        \"samples\": [\n          192\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_language\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 68,\n        \"samples\": [\n          \"ca\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15351,\n        \"samples\": [\n          \"Terror Train\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15752,\n        \"samples\": [\n          \"Elsa, Anna, Kristoff and Olaf head far into the forest to learn the truth about an ancient mystery of their kingdom.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"popularity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 75.70525926381225,\n        \"min\": 2.362,\n        \"max\": 7113.603,\n        \"num_unique_values\": 11585,\n        \"samples\": [\n          9.703\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"poster_path\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15681,\n        \"samples\": [\n          \"/q9fohCRpQ7m8OTyi82fxa3B86te.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 9292,\n        \"samples\": [\n          \"1976-08-01\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15153,\n        \"samples\": [\n          \"The Invisible Guest\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"video\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_average\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.663127034870564,\n        \"min\": 0.0,\n        \"max\": 10.0,\n        \"num_unique_values\": 3037,\n        \"samples\": [\n          6.421\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2084,\n        \"min\": 0,\n        \"max\": 35776,\n        \"num_unique_values\": 2630,\n        \"samples\": [\n          841\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Romance\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 32
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Filter Rows\n",
+    "\n",
+    "We select out only English movies."
+   ],
+   "metadata": {
+    "id": "I3962J2Ym_Js"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies = movies[movies['original_language']=='en']\n",
+    "movies.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "2vMuf4OOtK5X",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717136416216,
+     "user_tz": -480,
+     "elapsed": 340,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "05d66d7c-ac80-49aa-c8a3-3b9cd91e1eaa"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(10770, 15)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 33
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies = movies[movies['original_title'] == movies['title']]\n",
+    "movies.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "GVbdCqLHtgTY",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717136417492,
+     "user_tz": -480,
+     "elapsed": 2,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "98d4d0f5-b2a7-4bb0-9290-6ec57285411e"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(10691, 15)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 34
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Remove Columns\n"
+   ],
+   "metadata": {
+    "id": "oINbo6hkuT_U"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies = movies[['id', 'title', 'overview', 'genre', 'release_date']]\n",
+    "movies.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "mXbJYHrJuZkF",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717136421184,
+     "user_tz": -480,
+     "elapsed": 343,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "3b34b578-a1fe-48fb-9633-f3cefa84f235"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(10691, 5)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 35
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies = movies[movies['release_date'].notna()]\n",
+    "movies = movies[movies['overview'].notna()]\n",
+    "movies.to_csv('ARTA_en.csv',index=False)\n",
+    "movies.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 112
+    },
+    "id": "V-YurcWCudFL",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717136422977,
+     "user_tz": -480,
+     "elapsed": 495,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "54138598-d063-4b02-fce8-4266e96bd1bb"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "       id                              title  \\\n",
+       "0  653346  Kingdom of the Planet of the Apes   \n",
+       "1  929590                          Civil War   \n",
+       "\n",
+       "                                            overview   genre release_date  \n",
+       "0  Several generations in the future following Ca...  Action   2024-05-08  \n",
+       "1  In the near future, a group of war journalists...  Action   2024-04-10  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-02f3a500-edbd-4e74-8931-ebba87062dd2\" 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>genre</th>\n",
+       "      <th>release_date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>653346</td>\n",
+       "      <td>Kingdom of the Planet of the Apes</td>\n",
+       "      <td>Several generations in the future following Ca...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-05-08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>929590</td>\n",
+       "      <td>Civil War</td>\n",
+       "      <td>In the near future, a group of war journalists...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-04-10</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-02f3a500-edbd-4e74-8931-ebba87062dd2')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-02f3a500-edbd-4e74-8931-ebba87062dd2 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-02f3a500-edbd-4e74-8931-ebba87062dd2');\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-081fabf6-4f3a-4e00-9de1-3ee1c2f96ba4\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-081fabf6-4f3a-4e00-9de1-3ee1c2f96ba4')\"\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-081fabf6-4f3a-4e00-9de1-3ee1c2f96ba4 button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "movies",
+       "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 10691,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 318510,\n        \"min\": 11,\n        \"max\": 1293461,\n        \"num_unique_values\": 10691,\n        \"samples\": [\n          666277,\n          559969,\n          1017335\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10245,\n        \"samples\": [\n          \"The Quest\",\n          \"Music Box\",\n          \"Howard Lovecraft & the Frozen Kingdom\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10650,\n        \"samples\": [\n          \"A young writer begins an affair with an older woman from France whose open marriage to a diplomat dictates that they can meet only between the hours of 5 p.m. to 7 p.m.\",\n          \"A deranged prison warden with a nasty habit of killing escapees forces the boyfriends of his teenage twin daughters into a shotgun wedding, after they claim to be pregnant. All hope seems lost, until the husbands hatch a madcap plan to rob a money train to freedom.\",\n          \"A fussy celebrity caterer, a blind woman, a tour-bus guide and an inexperienced wedding planner search for love.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Romance\",\n          \"Animation\",\n          \"Action\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 7322,\n        \"samples\": [\n          \"2018-05-13\",\n          \"1980-05-09\",\n          \"1988-04-01\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 36
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Credits"
+   ],
+   "metadata": {
+    "id": "5Pnmn_g_5XE4"
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Data Collection"
+   ],
+   "metadata": {
+    "id": "yJn-yasFXtp6"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "from time import sleep\n",
+    "import traceback\n",
+    "import logging"
+   ],
+   "metadata": {
+    "id": "Q9r3MTQEB6Gg"
+   },
+   "execution_count": null,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "%%time\n",
+    "# Creating an empty database with required columns\n",
+    "credits = pd.DataFrame(columns=['id','cast','crew'])\n",
+    "\n",
+    "counter_to_sleep=1\n",
+    "\n",
+    "# We are using try,catch block to catch exceptions if anything goes wrong.\n",
+    "try:\n",
+    "    for i in movies.id.values:\n",
+    "        url = f\"https://api.themoviedb.org/3/movie/{i}/credits?language=en-US&api_key={api_key}\"\n",
+    "        response = requests.get(url)\n",
+    "        new_row = response.json()\n",
+    "        credits.loc[len(credits)] = new_row\n",
+    "\n",
+    "        counter_to_sleep+=1\n",
+    "\n",
+    "        # we ask thread to sleep after every 40 iterations\n",
+    "        if counter_to_sleep%40==0: sleep(1)\n",
+    "\n",
+    "except Exception as e:\n",
+    "    logging.error(traceback.format_exc())\n",
+    "\n",
+    "credits.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 146
+    },
+    "id": "csYjvhEhCBcA",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717138878764,
+     "user_tz": -480,
+     "elapsed": 2451065,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "e6a58970-5b6e-4cdc-e541-ee35fafe123e"
+   },
+   "execution_count": null,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "CPU times: user 16min 40s, sys: 16.9 s, total: 16min 57s\n",
+      "Wall time: 40min 50s\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "       id                                               cast  \\\n",
+       "0  653346  [{'adult': False, 'gender': 2, 'id': 1586047, ...   \n",
+       "1  929590  [{'adult': False, 'gender': 1, 'id': 205, 'kno...   \n",
+       "\n",
+       "                                                crew  \n",
+       "0  [{'adult': False, 'gender': 2, 'id': 1179066, ...  \n",
+       "1  [{'adult': False, 'gender': 2, 'id': 2035, 'kn...  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-f12c87c4-e462-4114-864a-272c337f9bba\" 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>cast</th>\n",
+       "      <th>crew</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>653346</td>\n",
+       "      <td>[{'adult': False, 'gender': 2, 'id': 1586047, ...</td>\n",
+       "      <td>[{'adult': False, 'gender': 2, 'id': 1179066, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>929590</td>\n",
+       "      <td>[{'adult': False, 'gender': 1, 'id': 205, 'kno...</td>\n",
+       "      <td>[{'adult': False, 'gender': 2, 'id': 2035, 'kn...</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-f12c87c4-e462-4114-864a-272c337f9bba')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-f12c87c4-e462-4114-864a-272c337f9bba 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-f12c87c4-e462-4114-864a-272c337f9bba');\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-300db381-6c39-4fd3-af50-3e9b2913e1fe\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-300db381-6c39-4fd3-af50-3e9b2913e1fe')\"\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-300db381-6c39-4fd3-af50-3e9b2913e1fe button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "summary": "{\n  \"name\": \"get_ipython()\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 195334,\n        \"min\": 653346,\n        \"max\": 929590,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          929590,\n          653346\n        ],\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": 38
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "credits.to_csv('credits.csv', index=False)"
+   ],
+   "metadata": {
+    "id": "RtFNqhz5WLme",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165233755,
+     "user_tz": -480,
+     "elapsed": 7004,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 19,
+   "outputs": []
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### EDA & Processing\n",
+    "\n",
+    "Exploratory Data Analysis and Processing"
+   ],
+   "metadata": {
+    "id": "tRNPzec3XzvT"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "credits = pd.read_csv('credits.csv')"
+   ],
+   "metadata": {
+    "id": "0zqklXGh-7Mu",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165277948,
+     "user_tz": -480,
+     "elapsed": 4159,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 21,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "credits.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "rE4TTXrb-7Pf",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165284346,
+     "user_tz": -480,
+     "elapsed": 3,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "dbaeab29-a81f-4c2f-a900-d5293c69856c"
+   },
+   "execution_count": 22,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(10621, 3)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 22
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "credits['cast'] = credits['cast'].apply(eval)\n",
+    "credits['crew'] = credits['crew'].apply(eval)\n",
+    "credits.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 112
+    },
+    "id": "HfBiwoi4Wv58",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165327725,
+     "user_tz": -480,
+     "elapsed": 31474,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "9fbd4b08-19e5-423a-e3cd-8137dcba35e5"
+   },
+   "execution_count": 24,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "       id                                               cast  \\\n",
+       "0  653346  [{'adult': False, 'gender': 2, 'id': 1586047, ...   \n",
+       "1  929590  [{'adult': False, 'gender': 1, 'id': 205, 'kno...   \n",
+       "\n",
+       "                                                crew  \n",
+       "0  [{'adult': False, 'gender': 2, 'id': 1179066, ...  \n",
+       "1  [{'adult': False, 'gender': 2, 'id': 2035, 'kn...  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-ac02b544-81a4-4df4-93e1-c958064c43cc\" 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>cast</th>\n",
+       "      <th>crew</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>653346</td>\n",
+       "      <td>[{'adult': False, 'gender': 2, 'id': 1586047, ...</td>\n",
+       "      <td>[{'adult': False, 'gender': 2, 'id': 1179066, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>929590</td>\n",
+       "      <td>[{'adult': False, 'gender': 1, 'id': 205, 'kno...</td>\n",
+       "      <td>[{'adult': False, 'gender': 2, 'id': 2035, 'kn...</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-ac02b544-81a4-4df4-93e1-c958064c43cc')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-ac02b544-81a4-4df4-93e1-c958064c43cc 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-ac02b544-81a4-4df4-93e1-c958064c43cc');\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-a6eea473-1083-4a1a-b05a-7a0a8de26420\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a6eea473-1083-4a1a-b05a-7a0a8de26420')\"\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-a6eea473-1083-4a1a-b05a-7a0a8de26420 button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "credits",
+       "summary": "{\n  \"name\": \"credits\",\n  \"rows\": 10621,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 315046,\n        \"min\": 11,\n        \"max\": 1293461,\n        \"num_unique_values\": 10621,\n        \"samples\": [\n          407445,\n          54179,\n          238713\n        ],\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": 24
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "credits['cast_len'] = credits['cast'].apply(len)\n",
+    "credits['crew_len'] = credits['crew'].apply(len)"
+   ],
+   "metadata": {
+    "id": "Wm4Rr-DifyMm",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165331397,
+     "user_tz": -480,
+     "elapsed": 307,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 25,
+   "outputs": []
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Drop movies without casts or crews"
+   ],
+   "metadata": {
+    "id": "ZwC8HHIspkfz"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "credits = credits[(credits['cast_len']!=0) & (credits['crew_len']!=0)]\n",
+    "credits.shape"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "Zcq3oJlwpt5F",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165333460,
+     "user_tz": -480,
+     "elapsed": 301,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "a071a7cf-f163-47a9-9df4-b08a3314df9b"
+   },
+   "execution_count": 26,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(10309, 5)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 26
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Crew Statistics\n",
+    "\n",
+    "Get the list of the departments used on TMDB."
+   ],
+   "metadata": {
+    "id": "aw4PSGFpaoWy"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "response = requests.get(f'https://api.themoviedb.org/3/configuration/jobs?api_key={api_key}')\n",
+    "departments = [e['department'] for e in response.json()]\n",
+    "departments"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "rTZTb0J2aozC",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165361353,
+     "user_tz": -480,
+     "elapsed": 348,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "839f1bde-baa2-4b00-a3bb-2bbd2d5e9c16"
+   },
+   "execution_count": 30,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "['Crew',\n",
+       " 'Lighting',\n",
+       " 'Camera',\n",
+       " 'Visual Effects',\n",
+       " 'Writing',\n",
+       " 'Sound',\n",
+       " 'Production',\n",
+       " 'Costume & Make-Up',\n",
+       " 'Actors',\n",
+       " 'Directing',\n",
+       " 'Art',\n",
+       " 'Editing']"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 30
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "def crew_statistics(crews):\n",
+    "  statistic = dict.fromkeys(departments, 0)\n",
+    "  for crew in crews:\n",
+    "    statistic[crew['department']] +=1\n",
+    "  return statistic"
+   ],
+   "metadata": {
+    "id": "kxTGnseXc5Zt",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165363135,
+     "user_tz": -480,
+     "elapsed": 352,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 31,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "credits[departments] = credits['crew'].apply(crew_statistics).apply(pd.Series)\n",
+    "credits.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 199
+    },
+    "id": "vYEUuz5AfZUD",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165368260,
+     "user_tz": -480,
+     "elapsed": 3873,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "d0f33c3e-9686-4ff5-810a-40f32f355ef3"
+   },
+   "execution_count": 32,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "       id                                               cast  \\\n",
+       "0  653346  [{'adult': False, 'gender': 2, 'id': 1586047, ...   \n",
+       "1  929590  [{'adult': False, 'gender': 1, 'id': 205, 'kno...   \n",
+       "\n",
+       "                                                crew  cast_len  crew_len  \\\n",
+       "0  [{'adult': False, 'gender': 2, 'id': 1179066, ...        29        26   \n",
+       "1  [{'adult': False, 'gender': 2, 'id': 2035, 'kn...        30       209   \n",
+       "\n",
+       "   Crew  Lighting  Camera  Visual Effects  Writing  Sound  Production  \\\n",
+       "0     1         0       1               3        3      1          10   \n",
+       "1    41        17      22               9        1     22          37   \n",
+       "\n",
+       "   Costume & Make-Up  Actors  Directing  Art  Editing  \n",
+       "0                  1       0          3    1        2  \n",
+       "1                 21       0          6   22       11  "
+      ],
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+       "      <td>[{'adult': False, 'gender': 2, 'id': 1586047, ...</td>\n",
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+       "      <td>[{'adult': False, 'gender': 1, 'id': 205, 'kno...</td>\n",
+       "      <td>[{'adult': False, 'gender': 2, 'id': 2035, 'kn...</td>\n",
+       "      <td>30</td>\n",
+       "      <td>209</td>\n",
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+       "      <td>17</td>\n",
+       "      <td>22</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>22</td>\n",
+       "      <td>37</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
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+       "  <style>\n",
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+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
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+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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+       "        document.querySelector('#df-627df053-de7b-4878-b5b1-15dd89d69640 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-627df053-de7b-4878-b5b1-15dd89d69640');\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",
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+       "  .colab-df-quickchart {\n",
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+       "\n",
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+       "        const charts = await google.colab.kernel.invokeFunction(\n",
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+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "credits",
+       "summary": "{\n  \"name\": \"credits\",\n  \"rows\": 10309,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 311347,\n        \"min\": 11,\n        \"max\": 1292801,\n        \"num_unique_values\": 10309,\n        \"samples\": [\n          57233,\n          242606,\n          365177\n        ],\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\": \"cast_len\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22,\n        \"min\": 1,\n        \"max\": 451,\n        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\"number\",\n        \"std\": 3,\n        \"min\": 0,\n        \"max\": 99,\n        \"num_unique_values\": 49,\n        \"samples\": [\n          15,\n          20,\n          99\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Camera\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 0,\n        \"max\": 75,\n        \"num_unique_values\": 58,\n        \"samples\": [\n          1,\n          10,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Visual Effects\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13,\n        \"min\": 0,\n        \"max\": 355,\n        \"num_unique_values\": 130,\n        \"samples\": [\n          203,\n          18,\n          26\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Writing\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 31,\n        \"num_unique_values\": 29,\n        \"samples\": [\n          27,\n          29,\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Sound\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 0,\n        \"max\": 94,\n        \"num_unique_values\": 62,\n        \"samples\": [\n          49,\n          54,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Production\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9,\n        \"min\": 0,\n        \"max\": 117,\n        \"num_unique_values\": 72,\n        \"samples\": [\n          9,\n          117,\n          31\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Costume & Make-Up\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6,\n        \"min\": 0,\n        \"max\": 161,\n        \"num_unique_values\": 70,\n        \"samples\": [\n          50,\n          1,\n          105\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Actors\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Directing\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 47,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          34\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Art\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7,\n        \"min\": 0,\n        \"max\": 110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Editing\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 31,\n        \"num_unique_values\": 24,\n        \"samples\": [\n          20\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 32
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Person-level Frequency"
+   ],
+   "metadata": {
+    "id": "wHlKexpG-kAe"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "from collections import Counter"
+   ],
+   "metadata": {
+    "id": "At4FfgcPzbxW",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165372715,
+     "user_tz": -480,
+     "elapsed": 350,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 33,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "person_department_map = {}"
+   ],
+   "metadata": {
+    "id": "wY5A0CGDienO",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165373809,
+     "user_tz": -480,
+     "elapsed": 648,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 34,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "cast_frequency = []\n",
+    "for casts in credits['cast']:\n",
+    "  counted_ids = set()\n",
+    "  for cast in casts:\n",
+    "    id = cast['id']\n",
+    "    department = cast['known_for_department']\n",
+    "    if department=='Acting' and id not in counted_ids:\n",
+    "      counted_ids.add(id)\n",
+    "      cast_frequency.append(id)\n",
+    "      person_department_map[id]='Acting'\n",
+    "\n",
+    "\n",
+    "cast_frequency = pd.Series(Counter(cast_frequency))\n",
+    "print('Number of Cast', cast_frequency.shape[0])\n",
+    "print('Cast whose frequency is 1|2|3|4|5:')\n",
+    "cast_frequency.value_counts().head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "4P-XFSYp-pEP",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165375845,
+     "user_tz": -480,
+     "elapsed": 435,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "2f0d5c97-0029-4c28-f3fb-b906ae91170d"
+   },
+   "execution_count": 35,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Number of Cast 121642\n",
+      "Cast whose frequency is 1|2|3|4|5:\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "1    84520\n",
+       "2    16935\n",
+       "3     7146\n",
+       "4     3786\n",
+       "5     2413\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 35
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "sound_frequency = []\n",
+    "directing_frequency = []\n",
+    "editing_frequency = []\n",
+    "writing_frequency = []\n",
+    "production_frequency = []\n",
+    "\n",
+    "\n",
+    "for crews in credits['crew']:\n",
+    "  counted_ids = set()\n",
+    "  for crew in crews:\n",
+    "    id = crew['id']\n",
+    "    department = crew['known_for_department']\n",
+    "    if department == crew['department'] and (id not in counted_ids):\n",
+    "      counted_ids.add(id)\n",
+    "      if department == 'Sound':\n",
+    "        sound_frequency.append(id)\n",
+    "        person_department_map[id]=department\n",
+    "      elif department == 'Directing':\n",
+    "        directing_frequency.append(id)\n",
+    "        person_department_map[id]=department\n",
+    "      elif department == 'Editing':\n",
+    "        editing_frequency.append(id)\n",
+    "        person_department_map[id]=department\n",
+    "      elif department == 'Writing':\n",
+    "        writing_frequency.append(id)\n",
+    "        person_department_map[id]=department\n",
+    "      elif department == 'Production':\n",
+    "        production_frequency.append(id)\n",
+    "        person_department_map[id]=department\n",
+    "\n",
+    "sound_frequency = pd.Series(Counter(sound_frequency))\n",
+    "directing_frequency = pd.Series(Counter(directing_frequency))\n",
+    "editing_frequency = pd.Series(Counter(editing_frequency))\n",
+    "writing_frequency = pd.Series(Counter(writing_frequency))\n",
+    "production_frequency = pd.Series(Counter(production_frequency))"
+   ],
+   "metadata": {
+    "id": "so5vtp_1zcRH",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165378667,
+     "user_tz": -480,
+     "elapsed": 640,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 36,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "print('Number of Sound', sound_frequency.shape[0])\n",
+    "print('Sound whose frequency is 1|2|3|4|5:')\n",
+    "sound_frequency.value_counts().head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "BVLJ3V3I1LId",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165380767,
+     "user_tz": -480,
+     "elapsed": 2,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "25f72dd7-96ec-4bcc-f168-d87ba6b7528e"
+   },
+   "execution_count": 37,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Number of Sound 15055\n",
+      "Sound whose frequency is 1|2|3|4|5:\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "1    7663\n",
+       "2    2220\n",
+       "3    1171\n",
+       "4     810\n",
+       "5     536\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 37
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "print('Number of Directing', directing_frequency.shape[0])\n",
+    "print('Directing whose frequency is 1|2|3|4|5:')\n",
+    "directing_frequency.value_counts().head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "SaEC4gzg1hAO",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165382514,
+     "user_tz": -480,
+     "elapsed": 548,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "9c06f3c7-b2ee-4bf7-ae11-90978447bbd7"
+   },
+   "execution_count": 38,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Number of Directing 9625\n",
+      "Directing whose frequency is 1|2|3|4|5:\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "1    5726\n",
+       "2    1619\n",
+       "3     787\n",
+       "4     469\n",
+       "5     322\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 38
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "print('Number of Editing', editing_frequency.shape[0])\n",
+    "print('Editing whose frequency is 1|2|3|4|5:')\n",
+    "editing_frequency.value_counts().head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "WQQY-RKQ1qAT",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165384063,
+     "user_tz": -480,
+     "elapsed": 3,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "66421164-0d2b-46ee-fe18-19f3b24136c1"
+   },
+   "execution_count": 39,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Number of Editing 6511\n",
+      "Editing whose frequency is 1|2|3|4|5:\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "1    3544\n",
+       "2    1089\n",
+       "3     535\n",
+       "4     380\n",
+       "5     237\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 39
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "print('Number of Writing', writing_frequency.shape[0])\n",
+    "print('Writing whose frequency is 1|2|3|4|5:')\n",
+    "writing_frequency.value_counts().head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "d2IUMuJF33__",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165386508,
+     "user_tz": -480,
+     "elapsed": 310,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "02fc76a3-7646-4c9f-89a1-9cac6220b0d7"
+   },
+   "execution_count": 40,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Number of Writing 8166\n",
+      "Writing whose frequency is 1|2|3|4|5:\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "1    5478\n",
+       "2    1213\n",
+       "3     593\n",
+       "4     301\n",
+       "5     206\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 40
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "print('Number of Production', production_frequency.shape[0])\n",
+    "print('Production whose frequency is 1|2|3|4|5:')\n",
+    "production_frequency.value_counts().head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "_06CcsU62LiA",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165388284,
+     "user_tz": -480,
+     "elapsed": 3,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "9529ca4a-cf6a-475c-b531-bbe63cf7daf4"
+   },
+   "execution_count": 41,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Number of Production 30085\n",
+      "Production whose frequency is 1|2|3|4|5:\n"
+     ]
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "1    19023\n",
+       "2     4487\n",
+       "3     2171\n",
+       "4     1257\n",
+       "5      777\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 41
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### People Selection\n",
+    "\n",
+    "Choose people who have participated in at least 3 movies."
+   ],
+   "metadata": {
+    "id": "gxItSu5I_c4n"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "min_freq = 3\n",
+    "\n",
+    "selected_cast_ids = cast_frequency[cast_frequency>=4].index\n",
+    "print('Cast', selected_cast_ids.shape[0])\n",
+    "\n",
+    "selected_sound_ids = sound_frequency[sound_frequency>=min_freq].index\n",
+    "print('Sound', selected_sound_ids.shape[0])\n",
+    "\n",
+    "selected_directing_ids = directing_frequency[directing_frequency>=2].index\n",
+    "print('Directing', selected_directing_ids.shape[0])\n",
+    "\n",
+    "selected_editing_ids = editing_frequency[editing_frequency>=min_freq].index\n",
+    "print('Editing', selected_editing_ids.shape[0])\n",
+    "\n",
+    "selected_writing_ids = writing_frequency[writing_frequency>=min_freq].index\n",
+    "print('Writing', selected_writing_ids.shape[0])\n",
+    "\n",
+    "selected_production_ids = production_frequency[production_frequency>=min_freq].index\n",
+    "print('Production', selected_production_ids.shape[0])"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "JksA5bk9ymaP",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165391344,
+     "user_tz": -480,
+     "elapsed": 312,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "dd486143-7167-4929-bb6f-66a71aa74641"
+   },
+   "execution_count": 42,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Cast 13041\n",
+      "Sound 5172\n",
+      "Directing 3899\n",
+      "Editing 1878\n",
+      "Writing 1475\n",
+      "Production 6575\n"
+     ]
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### People Details"
+   ],
+   "metadata": {
+    "id": "FAMRjjWJkZ3n"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "def select_casts(casts):\n",
+    "  return list({cast['id'] for cast in casts if cast['id'] in selected_cast_ids})\n",
+    "\n",
+    "def select_crews(crews):\n",
+    "  sound_ids = set()\n",
+    "  directing_ids = set()\n",
+    "  editing_ids = set()\n",
+    "  writing_ids = set()\n",
+    "  production_ids = set()\n",
+    "  for crew in crews:\n",
+    "    department = crew['known_for_department']\n",
+    "    id = crew['id']\n",
+    "    if department == 'Directing':\n",
+    "      if id in selected_directing_ids:\n",
+    "        directing_ids.add(id)\n",
+    "    # elif department == 'Sound':\n",
+    "    #   if id in selected_sound_ids:\n",
+    "    #     sound_ids.add(id)\n",
+    "    # elif department == 'Editing':\n",
+    "    #   if id in selected_editing_ids:\n",
+    "    #     editing_ids.add(id)\n",
+    "    # elif department == 'Writing':\n",
+    "    #   if id in selected_writing_ids:\n",
+    "    #     writing_ids.add(id)\n",
+    "    # elif department == 'Production':\n",
+    "    #   if id in selected_production_ids:\n",
+    "    #     production_ids.add(id)\n",
+    "  return {'sound_ids':list(sound_ids), 'directing_ids':list(directing_ids),\n",
+    "          'editing_ids':list(editing_ids),\n",
+    "          'writing_ids':list(writing_ids),\n",
+    "          'production_ids':list(production_ids)}"
+   ],
+   "metadata": {
+    "id": "KqFP4D52xnjN",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165393660,
+     "user_tz": -480,
+     "elapsed": 2,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 43,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "selected_credits = credits['crew'].apply(select_crews).apply(pd.Series)\n",
+    "selected_credits['cast_ids'] = credits['cast'].apply(select_casts)\n",
+    "selected_credits.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 112
+    },
+    "id": "wK_zWqdlDeib",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165401225,
+     "user_tz": -480,
+     "elapsed": 4246,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "19f93748-81b5-4203-b484-d151afd7954b"
+   },
+   "execution_count": 44,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "  sound_ids               directing_ids editing_ids writing_ids  \\\n",
+       "0        []            [2045537, 86599]          []          []   \n",
+       "1        []  [1560964, 1423005, 143894]          []          []   \n",
+       "\n",
+       "  production_ids                                           cast_ids  \n",
+       "0             []      [79072, 3905, 58395, 78962, 1394427, 1586047]  \n",
+       "1             []  [1431398, 52583, 205, 1683343, 17039, 2135069,...  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-efc25ba0-8563-4c2e-8b96-b4a5844c1645\" 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>sound_ids</th>\n",
+       "      <th>directing_ids</th>\n",
+       "      <th>editing_ids</th>\n",
+       "      <th>writing_ids</th>\n",
+       "      <th>production_ids</th>\n",
+       "      <th>cast_ids</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[2045537, 86599]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[79072, 3905, 58395, 78962, 1394427, 1586047]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1560964, 1423005, 143894]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1431398, 52583, 205, 1683343, 17039, 2135069,...</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-efc25ba0-8563-4c2e-8b96-b4a5844c1645')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-efc25ba0-8563-4c2e-8b96-b4a5844c1645 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-efc25ba0-8563-4c2e-8b96-b4a5844c1645');\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-ed12181a-d637-4ff3-8589-adbe4bd89230\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ed12181a-d637-4ff3-8589-adbe4bd89230')\"\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-ed12181a-d637-4ff3-8589-adbe4bd89230 button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "selected_credits",
+       "summary": "{\n  \"name\": \"selected_credits\",\n  \"rows\": 10309,\n  \"fields\": [\n    {\n      \"column\": \"sound_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"directing_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"editing_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"writing_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"production_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 44
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Drop movies without selected people"
+   ],
+   "metadata": {
+    "id": "i6hzntNoIAEH"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "selected_credits_len = pd.DataFrame(columns=selected_credits.columns)\n",
+    "\n",
+    "for col in selected_credits.columns:\n",
+    "  selected_credits_len[col] = selected_credits[col].apply(len)\n",
+    "\n",
+    "\n",
+    "selected_credits_len['crew_ids']=selected_credits_len.iloc[:,:-1].sum(axis=1)\n",
+    "selected_credits_len.head(2)"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 112
+    },
+    "id": "vfMYxfGHEtF_",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165404846,
+     "user_tz": -480,
+     "elapsed": 335,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "b760772a-3eb8-4cb2-fbec-080c0f86d25b"
+   },
+   "execution_count": 45,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "   sound_ids  directing_ids  editing_ids  writing_ids  production_ids  \\\n",
+       "0          0              2            0            0               0   \n",
+       "1          0              3            0            0               0   \n",
+       "\n",
+       "   cast_ids  crew_ids  \n",
+       "0         6         2  \n",
+       "1        10         3  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-6d0806ec-1a19-4b38-9d61-4d4760f7d0de\" 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>sound_ids</th>\n",
+       "      <th>directing_ids</th>\n",
+       "      <th>editing_ids</th>\n",
+       "      <th>writing_ids</th>\n",
+       "      <th>production_ids</th>\n",
+       "      <th>cast_ids</th>\n",
+       "      <th>crew_ids</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>3</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-6d0806ec-1a19-4b38-9d61-4d4760f7d0de')\"\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-6d0806ec-1a19-4b38-9d61-4d4760f7d0de 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-6d0806ec-1a19-4b38-9d61-4d4760f7d0de');\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-25a2cd55-a040-4e23-899b-811818307133\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-25a2cd55-a040-4e23-899b-811818307133')\"\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-25a2cd55-a040-4e23-899b-811818307133 button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "selected_credits_len",
+       "summary": "{\n  \"name\": \"selected_credits_len\",\n  \"rows\": 10309,\n  \"fields\": [\n    {\n      \"column\": \"sound_ids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"directing_ids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 28,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          18\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"editing_ids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"writing_ids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"production_ids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast_ids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 0,\n        \"max\": 162,\n        \"num_unique_values\": 70,\n        \"samples\": [\n          13\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew_ids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 28,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          18\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 45
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "print('Original number', selected_credits_len.shape[0])\n",
+    "selected_credits_len = selected_credits_len[(selected_credits_len['cast_ids']!=0) & (selected_credits_len['crew_ids']!=0)]\n",
+    "selected_credits = selected_credits.loc[selected_credits_len.index]\n",
+    "print('Now number', selected_credits_len.shape[0])"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "7fV-4pG8GMk1",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165411290,
+     "user_tz": -480,
+     "elapsed": 331,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "1331b8d5-1443-4811-8d37-73ee676f6623"
+   },
+   "execution_count": 46,
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Original number 10309\n",
+      "Now number 7505\n"
+     ]
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "selected_credits"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 423
+    },
+    "id": "uShsfFl2nPVT",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165416995,
+     "user_tz": -480,
+     "elapsed": 311,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "8a878b0d-6db4-489e-f1c0-5f5981eeede2"
+   },
+   "execution_count": 47,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "      sound_ids                       directing_ids editing_ids writing_ids  \\\n",
+       "0            []                    [2045537, 86599]          []          []   \n",
+       "1            []          [1560964, 1423005, 143894]          []          []   \n",
+       "2            []           [3034575, 1787802, 98631]          []          []   \n",
+       "3            []  [1127472, 1746249, 40684, 2301527]          []          []   \n",
+       "4            []                            [132876]          []          []   \n",
+       "...         ...                                 ...         ...         ...   \n",
+       "10609        []                             [89755]          []          []   \n",
+       "10611        []                  [1196347, 1431493]          []          []   \n",
+       "10613        []                            [124563]          []          []   \n",
+       "10616        []                            [132742]          []          []   \n",
+       "10619        []                   [2205321, 131242]          []          []   \n",
+       "\n",
+       "      production_ids                                           cast_ids  \n",
+       "0                 []      [79072, 3905, 58395, 78962, 1394427, 1586047]  \n",
+       "1                 []  [1431398, 52583, 205, 1683343, 17039, 2135069,...  \n",
+       "2                 []  [60416, 930817, 15298, 15556, 61782, 221018, 2...  \n",
+       "3                 []  [1381186, 27428, 1278487, 117642, 150030, 2037...  \n",
+       "4                 []     [1225953, 16866, 2983, 61831, 168140, 1489211]  \n",
+       "...              ...                                                ...  \n",
+       "10609             []                     [58530, 89756, 89757, 1004823]  \n",
+       "10611             []  [155397, 1099685, 105799, 2204522, 79051, 9729...  \n",
+       "10613             []                                      [6860, 84214]  \n",
+       "10616             []                                    [109969, 33923]  \n",
+       "10619             []  [37986, 1243017, 75821, 74359, 52283, 74364, 1...  \n",
+       "\n",
+       "[7505 rows x 6 columns]"
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-665ff93a-2583-44a6-a3ee-066a16991761\" 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>sound_ids</th>\n",
+       "      <th>directing_ids</th>\n",
+       "      <th>editing_ids</th>\n",
+       "      <th>writing_ids</th>\n",
+       "      <th>production_ids</th>\n",
+       "      <th>cast_ids</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[2045537, 86599]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[79072, 3905, 58395, 78962, 1394427, 1586047]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1560964, 1423005, 143894]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1431398, 52583, 205, 1683343, 17039, 2135069,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[3034575, 1787802, 98631]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[60416, 930817, 15298, 15556, 61782, 221018, 2...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1127472, 1746249, 40684, 2301527]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1381186, 27428, 1278487, 117642, 150030, 2037...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[132876]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1225953, 16866, 2983, 61831, 168140, 1489211]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10609</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[89755]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[58530, 89756, 89757, 1004823]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10611</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[1196347, 1431493]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[155397, 1099685, 105799, 2204522, 79051, 9729...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10613</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[124563]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[6860, 84214]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10616</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[132742]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[109969, 33923]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10619</th>\n",
+       "      <td>[]</td>\n",
+       "      <td>[2205321, 131242]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[37986, 1243017, 75821, 74359, 52283, 74364, 1...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>7505 rows × 6 columns</p>\n",
+       "</div>\n",
+       "    <div class=\"colab-df-buttons\">\n",
+       "\n",
+       "  <div class=\"colab-df-container\">\n",
+       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-665ff93a-2583-44a6-a3ee-066a16991761')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-665ff93a-2583-44a6-a3ee-066a16991761 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-665ff93a-2583-44a6-a3ee-066a16991761');\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-64039a28-0ba7-4add-a117-9ddae8093039\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-64039a28-0ba7-4add-a117-9ddae8093039')\"\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-64039a28-0ba7-4add-a117-9ddae8093039 button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "selected_credits",
+       "summary": "{\n  \"name\": \"selected_credits\",\n  \"rows\": 7505,\n  \"fields\": [\n    {\n      \"column\": \"sound_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"directing_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"editing_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"writing_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"production_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast_ids\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 47
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "#### Save People&Movies"
+   ],
+   "metadata": {
+    "id": "LnCD-3Wl311S"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies = pd.read_csv('ARTA_en.csv')"
+   ],
+   "metadata": {
+    "id": "tE_zNrDVoDUN",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165423446,
+     "user_tz": -480,
+     "elapsed": 294,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 48,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies = movies.iloc[selected_credits.index]\n",
+    "movies.head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 206
+    },
+    "id": "G8j7KDeuj2G7",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165426596,
+     "user_tz": -480,
+     "elapsed": 6,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "82a373ef-4d04-497d-8af0-4af07827fe70"
+   },
+   "execution_count": 49,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "       id                              title  \\\n",
+       "0  653346  Kingdom of the Planet of the Apes   \n",
+       "1  929590                          Civil War   \n",
+       "2  823464    Godzilla x Kong: The New Empire   \n",
+       "3  746036                       The Fall Guy   \n",
+       "4  614933                              Atlas   \n",
+       "\n",
+       "                                            overview   genre release_date  \n",
+       "0  Several generations in the future following Ca...  Action   2024-05-08  \n",
+       "1  In the near future, a group of war journalists...  Action   2024-04-10  \n",
+       "2  Following their explosive showdown, Godzilla a...  Action   2024-03-27  \n",
+       "3  Fresh off an almost career-ending accident, st...  Action   2024-04-24  \n",
+       "4  A brilliant counterterrorism analyst with a de...  Action   2024-05-23  "
+      ],
+      "text/html": [
+       "\n",
+       "  <div id=\"df-4312e75d-9546-44d7-9cb1-27a8c712a615\" 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>genre</th>\n",
+       "      <th>release_date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>653346</td>\n",
+       "      <td>Kingdom of the Planet of the Apes</td>\n",
+       "      <td>Several generations in the future following Ca...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-05-08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>929590</td>\n",
+       "      <td>Civil War</td>\n",
+       "      <td>In the near future, a group of war journalists...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-04-10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>823464</td>\n",
+       "      <td>Godzilla x Kong: The New Empire</td>\n",
+       "      <td>Following their explosive showdown, Godzilla a...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-03-27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>746036</td>\n",
+       "      <td>The Fall Guy</td>\n",
+       "      <td>Fresh off an almost career-ending accident, st...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-04-24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>614933</td>\n",
+       "      <td>Atlas</td>\n",
+       "      <td>A brilliant counterterrorism analyst with a de...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-05-23</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-4312e75d-9546-44d7-9cb1-27a8c712a615')\"\n",
+       "            title=\"Convert this dataframe to an interactive table.\"\n",
+       "            style=\"display:none;\">\n",
+       "\n",
+       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+       "  </svg>\n",
+       "    </button>\n",
+       "\n",
+       "  <style>\n",
+       "    .colab-df-container {\n",
+       "      display:flex;\n",
+       "      gap: 12px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert {\n",
+       "      background-color: #E8F0FE;\n",
+       "      border: none;\n",
+       "      border-radius: 50%;\n",
+       "      cursor: pointer;\n",
+       "      display: none;\n",
+       "      fill: #1967D2;\n",
+       "      height: 32px;\n",
+       "      padding: 0 0 0 0;\n",
+       "      width: 32px;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-convert:hover {\n",
+       "      background-color: #E2EBFA;\n",
+       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+       "      fill: #174EA6;\n",
+       "    }\n",
+       "\n",
+       "    .colab-df-buttons div {\n",
+       "      margin-bottom: 4px;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert {\n",
+       "      background-color: #3B4455;\n",
+       "      fill: #D2E3FC;\n",
+       "    }\n",
+       "\n",
+       "    [theme=dark] .colab-df-convert:hover {\n",
+       "      background-color: #434B5C;\n",
+       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+       "      fill: #FFFFFF;\n",
+       "    }\n",
+       "  </style>\n",
+       "\n",
+       "    <script>\n",
+       "      const buttonEl =\n",
+       "        document.querySelector('#df-4312e75d-9546-44d7-9cb1-27a8c712a615 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-4312e75d-9546-44d7-9cb1-27a8c712a615');\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-88cc9229-01d0-49b8-a92b-86af76b48c98\">\n",
+       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-88cc9229-01d0-49b8-a92b-86af76b48c98')\"\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-88cc9229-01d0-49b8-a92b-86af76b48c98 button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "movies",
+       "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 7505,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 274531,\n        \"min\": 11,\n        \"max\": 1288104,\n        \"num_unique_values\": 7505,\n        \"samples\": [\n          982752,\n          290714,\n          1052\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7270,\n        \"samples\": [\n          \"The Purge: Anarchy\",\n          \"Inside Out 2\",\n          \"Signs\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7500,\n        \"samples\": [\n          \"The Civil War has ended, but Colonel Morsman Carver is on one final mission \\u2013 to kill Gideon, no matter what it takes. Launched by a gunshot and propelled by rage, the relentless pursuit takes the two men through frigid snow-capped mountains and arid deserts, far from the comforts and codes of civilisation, into the bloodiest recesses of their own souls.\",\n          \"Peter makes good on another power outage at home by retelling Star Wars Episode V: The Empire Strikes Back.\",\n          \"Nine years later, Jesse travels across Europe giving readings from a book he wrote about the night he spent in Vienna with Celine. After his reading in Paris, Celine finds him, and they spend part of the day together before Jesse has to again leave for a flight. They are both in relationships now, and Jesse has a son, but as their strong feelings for each other start to return, both confess a longing for more.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Romance\",\n          \"Animation\",\n          \"Action\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 5777,\n        \"samples\": [\n          \"1950-08-05\",\n          \"1959-03-19\",\n          \"2019-08-05\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 49
+    }
+   ]
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "movies['actor'] = selected_credits['cast_ids']\n",
+    "movies['director'] = selected_credits['directing_ids']\n",
+    "movies.head()"
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 293
+    },
+    "id": "okTs7HPjkPJN",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165431909,
+     "user_tz": -480,
+     "elapsed": 314,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "5b767864-c20d-40ae-b1ea-f1489323b050"
+   },
+   "execution_count": 50,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "       id                              title  \\\n",
+       "0  653346  Kingdom of the Planet of the Apes   \n",
+       "1  929590                          Civil War   \n",
+       "2  823464    Godzilla x Kong: The New Empire   \n",
+       "3  746036                       The Fall Guy   \n",
+       "4  614933                              Atlas   \n",
+       "\n",
+       "                                            overview   genre release_date  \\\n",
+       "0  Several generations in the future following Ca...  Action   2024-05-08   \n",
+       "1  In the near future, a group of war journalists...  Action   2024-04-10   \n",
+       "2  Following their explosive showdown, Godzilla a...  Action   2024-03-27   \n",
+       "3  Fresh off an almost career-ending accident, st...  Action   2024-04-24   \n",
+       "4  A brilliant counterterrorism analyst with a de...  Action   2024-05-23   \n",
+       "\n",
+       "                                               actor  \\\n",
+       "0      [79072, 3905, 58395, 78962, 1394427, 1586047]   \n",
+       "1  [1431398, 52583, 205, 1683343, 17039, 2135069,...   \n",
+       "2  [60416, 930817, 15298, 15556, 61782, 221018, 2...   \n",
+       "3  [1381186, 27428, 1278487, 117642, 150030, 2037...   \n",
+       "4     [1225953, 16866, 2983, 61831, 168140, 1489211]   \n",
+       "\n",
+       "                             director  \n",
+       "0                    [2045537, 86599]  \n",
+       "1          [1560964, 1423005, 143894]  \n",
+       "2           [3034575, 1787802, 98631]  \n",
+       "3  [1127472, 1746249, 40684, 2301527]  \n",
+       "4                            [132876]  "
+      ],
+      "text/html": [
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+       "      <td>Kingdom of the Planet of the Apes</td>\n",
+       "      <td>Several generations in the future following Ca...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-05-08</td>\n",
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+       "      <td>929590</td>\n",
+       "      <td>Civil War</td>\n",
+       "      <td>In the near future, a group of war journalists...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-04-10</td>\n",
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+       "      <td>[1560964, 1423005, 143894]</td>\n",
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+       "      <td>823464</td>\n",
+       "      <td>Godzilla x Kong: The New Empire</td>\n",
+       "      <td>Following their explosive showdown, Godzilla a...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-03-27</td>\n",
+       "      <td>[60416, 930817, 15298, 15556, 61782, 221018, 2...</td>\n",
+       "      <td>[3034575, 1787802, 98631]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>746036</td>\n",
+       "      <td>The Fall Guy</td>\n",
+       "      <td>Fresh off an almost career-ending accident, st...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-04-24</td>\n",
+       "      <td>[1381186, 27428, 1278487, 117642, 150030, 2037...</td>\n",
+       "      <td>[1127472, 1746249, 40684, 2301527]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>614933</td>\n",
+       "      <td>Atlas</td>\n",
+       "      <td>A brilliant counterterrorism analyst with a de...</td>\n",
+       "      <td>Action</td>\n",
+       "      <td>2024-05-23</td>\n",
+       "      <td>[1225953, 16866, 2983, 61831, 168140, 1489211]</td>\n",
+       "      <td>[132876]</td>\n",
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+       "\n",
+       "    .colab-df-buttons div {\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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+       "        document.querySelector('#df-f53cde8d-f719-460f-9cf3-740004af83fb button.colab-df-convert');\n",
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+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "\n",
+       "      async function convertToInteractive(key) {\n",
+       "        const element = document.querySelector('#df-f53cde8d-f719-460f-9cf3-740004af83fb');\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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+       "</svg>\n",
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+       "\n",
+       "  [theme=dark] .colab-df-quickchart {\n",
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+       "\n",
+       "  .colab-df-quickchart {\n",
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+       "\n",
+       "  .colab-df-quickchart:hover {\n",
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+       "  }\n",
+       "\n",
+       "  .colab-df-quickchart-complete:disabled,\n",
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+       "    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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+       "      border-right-color: var(--fill-color);\n",
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+       "</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-3f48bb4e-4b8a-460b-bd13-d9cfda70079a button');\n",
+       "      quickchartButtonEl.style.display =\n",
+       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+       "    })();\n",
+       "  </script>\n",
+       "</div>\n",
+       "    </div>\n",
+       "  </div>\n"
+      ],
+      "application/vnd.google.colaboratory.intrinsic+json": {
+       "type": "dataframe",
+       "variable_name": "movies",
+       "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 7505,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 274531,\n        \"min\": 11,\n        \"max\": 1288104,\n        \"num_unique_values\": 7505,\n        \"samples\": [\n          982752,\n          290714,\n          1052\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7270,\n        \"samples\": [\n          \"The Purge: Anarchy\",\n          \"Inside Out 2\",\n          \"Signs\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7500,\n        \"samples\": [\n          \"The Civil War has ended, but Colonel Morsman Carver is on one final mission \\u2013 to kill Gideon, no matter what it takes. Launched by a gunshot and propelled by rage, the relentless pursuit takes the two men through frigid snow-capped mountains and arid deserts, far from the comforts and codes of civilisation, into the bloodiest recesses of their own souls.\",\n          \"Peter makes good on another power outage at home by retelling Star Wars Episode V: The Empire Strikes Back.\",\n          \"Nine years later, Jesse travels across Europe giving readings from a book he wrote about the night he spent in Vienna with Celine. After his reading in Paris, Celine finds him, and they spend part of the day together before Jesse has to again leave for a flight. They are both in relationships now, and Jesse has a son, but as their strong feelings for each other start to return, both confess a longing for more.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Romance\",\n          \"Animation\",\n          \"Action\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 5777,\n        \"samples\": [\n          \"1950-08-05\",\n          \"1959-03-19\",\n          \"2019-08-05\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"actor\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"director\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+      }
+     },
+     "metadata": {},
+     "execution_count": 50
+    }
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Random shuffle to prevent data leakage."
+   ],
+   "metadata": {
+    "id": "fwn9vMMWu83p"
+   }
+  },
+  {
+   "cell_type": "code",
+   "source": [
+    "seed = 1225\n",
+    "movies = movies.sample(frac=1.0, random_state=seed, ignore_index=True)"
+   ],
+   "metadata": {
+    "id": "5lrP6moBvH5Z",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165456491,
+     "user_tz": -480,
+     "elapsed": 1,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 51,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": "movies.to_csv('TMDB.csv', index=False)",
+   "metadata": {
+    "id": "X_RMQTp7wBwE",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165458821,
+     "user_tz": -480,
+     "elapsed": 3,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    }
+   },
+   "execution_count": 52,
+   "outputs": []
+  },
+  {
+   "cell_type": "code",
+   "source": "pd.read_csv('TMDB.csv')",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 597
+    },
+    "id": "PluExPPAlIF-",
+    "executionInfo": {
+     "status": "ok",
+     "timestamp": 1717165462243,
+     "user_tz": -480,
+     "elapsed": 498,
+     "user": {
+      "displayName": "Yunhui Liu",
+      "userId": "17327062528746877694"
+     }
+    },
+    "outputId": "50cbc6d0-766a-40f3-dc8b-c87e213fa02b"
+   },
+   "execution_count": 53,
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "           id                            title  \\\n",
+       "0      199753  Tom and Jerry's Giant Adventure   \n",
+       "1        9560             A Walk in the Clouds   \n",
+       "2       10875          The Fabulous Baker Boys   \n",
+       "3       67609         Three Blind Mouseketeers   \n",
+       "4       24021       The Twilight Saga: Eclipse   \n",
+       "...       ...                              ...   \n",
+       "7500   358148                The Smurfic Games   \n",
+       "7501  1001783                     LaRoy, Texas   \n",
+       "7502    43529                       Golden Boy   \n",
+       "7503    29884                     Ball of Fire   \n",
+       "7504    42745                        The Skull   \n",
+       "\n",
+       "                                               overview      genre  \\\n",
+       "0     Tom And Jerry are among the last animals livin...  Animation   \n",
+       "1     World War II vet Paul Sutton falls for a pregn...    Romance   \n",
+       "2     The lives of two struggling musicians, who hap...    Romance   \n",
+       "3     As the title implies, the three blind mice are...  Animation   \n",
+       "4     Bella once again finds herself surrounded by d...    Romance   \n",
+       "...                                                 ...        ...   \n",
+       "7500  The Smurfs engage in athletic competition to s...  Animation   \n",
+       "7501  A man named Ray discovers his wife is cheating...   Thriller   \n",
+       "7502  Despite his talent as a musician, a city boy d...    Romance   \n",
+       "7503  A group of academics have spent years shut up ...    Romance   \n",
+       "7504  An occult investigator buys the 150-year-old s...   Thriller   \n",
+       "\n",
+       "     release_date                                              actor  \\\n",
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+       "...           ...                                                ...   \n",
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+       "7504   1965-08-25  [5, 1847210, 67917, 113, 11028, 29909, 3796, 1...   \n",
+       "\n",
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+      }
+     },
+     "metadata": {},
+     "execution_count": 53
+    }
+   ]
+  }
+ ]
+}