{
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "434521ee-8029-f857-cee9-452a2169401b"
      },
      "outputs": [],
      "source": [
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "3a3c2aeb-8e28-4dea-53f9-61fb7e2c2089"
      },
      "outputs": [],
      "source": [
        "df_doc_meta = pd.read_csv('../input/documents_meta.csv')\n",
        "df_doc_categories = pd.read_csv('../input/documents_categories.csv')\n",
        "df_doc_entities = pd.read_csv('../input/documents_entities.csv')\n",
        "df_doc_topics = pd.read_csv('../input/documents_topics.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "9b659a39-cae1-5c44-5076-7719b1395a4b"
      },
      "outputs": [],
      "source": [
        "df_doc_meta.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "81ffb0d0-41d2-9464-5921-83ef7e16d9b6"
      },
      "outputs": [],
      "source": [
        "df_doc_categories.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "5cf8c3cb-453e-9389-ad5f-0dc6aafb8e43"
      },
      "outputs": [],
      "source": [
        "category_count = df_doc_categories.groupby('category_id').category_id.count()\n",
        "plt.hist(category_count, bins=50)"
      ]
    }
  ],
  "metadata": {
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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      "codemirror_mode": {
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