{
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "3aebb37a-04f5-0636-0061-52713df579af"
      },
      "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": "cb6027ca-fff2-2a49-ecbb-f383b4f404cf"
      },
      "outputs": [],
      "source": [
        "test = pd.read_csv('../input/clicks_test.csv')\n",
        "train = pd.read_csv('../input/clicks_train.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "9edf6122-e52b-8854-508d-92ebddb59212"
      },
      "outputs": [],
      "source": [
        "test.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "31034289-58e6-499b-9bd0-c08aa3de4f13"
      },
      "outputs": [],
      "source": [
        "train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "6c3bd279-ea88-ff12-d98a-660bc227aeeb"
      },
      "outputs": [],
      "source": [
        "test.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "8712b9d2-4216-3ee0-f6aa-0db810c0755e"
      },
      "outputs": [],
      "source": [
        "train.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "bc176207-3282-4224-5205-689721fa2f2d"
      },
      "outputs": [],
      "source": [
        "train.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "73775911-5e37-3adb-b18e-71277aa1a134"
      },
      "outputs": [],
      "source": ""
    }
  ],
  "metadata": {
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
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