{
  "id": 71101,
  "title": "Flattened v2 data in a single dataframe for train and test",
  "url": "/competitions/ga-customer-revenue-prediction/discussion/71101",
  "author_name": "Burrito Dan",
  "post_date": "2018-11-10T07:05:37.492000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>See this kernel. You can import the output data into Python or R using feather file format. See the instructions in the script.\n<a href=\"https://www.kaggle.com/burritodan/gstore-1-flatten\">https://www.kaggle.com/burritodan/gstore-1-flatten</a></p>",
  "messages": [
    {
      "id": 418577,
      "postDate": "2018-11-10T07:05:37.493Z",
      "content": "<p>See this kernel. You can import the output data into Python or R using feather file format. See the instructions in the script.\n<a href=\"https://www.kaggle.com/burritodan/gstore-1-flatten\">https://www.kaggle.com/burritodan/gstore-1-flatten</a></p>",
      "rawMarkdown": "See this kernel. You can import the output data into Python or R using feather file format. See the instructions in the script.\nhttps://www.kaggle.com/burritodan/gstore-1-flatten"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "418577": "See this kernel. You can import the output data into Python or R using feather file format. See the instructions in the script.\nhttps://www.kaggle.com/burritodan/gstore-1-flatten"
  }
}