{
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      "cell_type": "markdown",
      "metadata": {
        "_cell_guid": "98abb9f0-4245-a4e7-1c9a-f035fb22ec20"
      },
      "source": [
        "# Exploring the data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "96a30068-3f42-9b45-a9be-17be76c89bde"
      },
      "outputs": [],
      "source": [
        "import numpy as np \n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "%matplotlib inline\n",
        "\n",
        "p = sns.color_palette()\n",
        "\n",
        "# Import Document files for exploration\n",
        "documents_categories = pd.read_csv('../input/documents_categories.csv')\n",
        "documents_entities = pd.read_csv('../input/documents_entities.csv')\n",
        "documents_meta = pd.read_csv('../input/documents_meta.csv')\n",
        "documents_topics = pd.read_csv('../input/documents_topics.csv')\n",
        "\n",
        "documents_categories.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "8e70fbd8-4a7f-8748-5b8a-1704417214d6"
      },
      "outputs": [],
      "source": [
        "documents_categories.head()\n"
      ]
    }
  ],
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      "pygments_lexer": "ipython3",
      "version": "3.5.2"
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