{
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "98f9e97c-104b-ea6f-794b-319c606b6e7e"
      },
      "outputs": [],
      "source": [
        "# This Python 3 environment comes with many helpful analytics libraries installed\n",
        "# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
        "# For example, here's several helpful packages to load in \n",
        "\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "\n",
        "# Input data files are available in the \"../input/\" directory.\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
        "\n",
        "from subprocess import check_output\n",
        "print(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n",
        "\n",
        "# Any results you write to the current directory are saved as output."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "65e07603-866b-03c6-5a3c-2512942ae195"
      },
      "outputs": [],
      "source": [
        "\n",
        "open(\"../input/documents_meta.csv\",'r').readlines()[:10]\n",
        "    "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "d66afab8-43ee-314e-5572-b30ce35be5e8"
      },
      "outputs": [],
      "source": [
        "open(\"../input/events.csv\",'r').readlines()[:10]\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "15b2d4f9-cd4c-f5b5-94c3-88a8358d8b0c"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "dataSet = pd.read_csv(\"../input/documents_meta.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "8d29e4f1-f7f0-abd2-dff1-fef95def6176"
      },
      "outputs": [],
      "source": [
        "dataSet.head()\n",
        "dataSet.tail(10)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "07900d92-ad21-1e2b-dae1-4aedc9ac40b9"
      },
      "outputs": [],
      "source": ""
    }
  ],
  "metadata": {
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
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