{
  "id": 76207,
  "title": "Elo Data Explanation",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/76207",
  "author_name": "koderakan",
  "post_date": "2018-12-30T13:10:17.657000",
  "votes": 0,
  "comment_count": 5,
  "views": 0,
  "content": "<p>Hi Guys,\nI am new to Kaggle(joined just a few days ago) and am having trouble understanding the data for the competition. For example, what do the fields like Category_1, Numerical_1, Category_4 etc mean.\nAre we required to make sense of it ourselves or is there an explanation provided somewhere?</p>",
  "messages": [
    {
      "id": 448045,
      "postDate": "2018-12-31T06:01:24.383Z",
      "content": "<p>You can refer to the data dictionary to understand at least the meaning behind some of them, even thought a lot of them are normalised </p>",
      "rawMarkdown": "You can refer to the data dictionary to understand at least the meaning behind some of them, even thought a lot of them are normalised "
    },
    {
      "id": 447839,
      "postDate": "2018-12-30T17:43:08.020Z",
      "content": "<p>They're unfortunately left for us to make sense of.</p>",
      "rawMarkdown": "They're unfortunately left for us to make sense of.",
      "replies": [
        {
          "id": 447918,
          "postDate": "2018-12-30T20:51:34.097Z",
          "rawMarkdown": "",
          "isDeleted": true
        },
        {
          "id": 448036,
          "postDate": "2018-12-31T05:34:51.800Z",
          "content": "<p>Thanks a lot Peter; had been wondering if I was missing out some link or something.</p>",
          "rawMarkdown": "Thanks a lot Peter; had been wondering if I was missing out some link or something."
        }
      ]
    },
    {
      "id": 447746,
      "postDate": "2018-12-30T13:10:17.657Z",
      "content": "<p>Hi Guys,\nI am new to Kaggle(joined just a few days ago) and am having trouble understanding the data for the competition. For example, what do the fields like Category_1, Numerical_1, Category_4 etc mean.\nAre we required to make sense of it ourselves or is there an explanation provided somewhere?</p>",
      "rawMarkdown": "Hi Guys,\nI am new to Kaggle(joined just a few days ago) and am having trouble understanding the data for the competition. For example, what do the fields like Category_1, Numerical_1, Category_4 etc mean.\nAre we required to make sense of it ourselves or is there an explanation provided somewhere?"
    },
    {
      "id": 448059,
      "postDate": "2018-12-31T06:46:00.967Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 448045,
      "author_name": "Yifan Xie",
      "author_url": "",
      "post_date": "2018-12-31T06:01:24.383000",
      "content": "<p>You can refer to the data dictionary to understand at least the meaning behind some of them, even thought a lot of them are normalised </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 447839,
      "author_name": "Peter Hurford",
      "author_url": "",
      "post_date": "2018-12-30T17:43:08.020000",
      "content": "<p>They're unfortunately left for us to make sense of.</p>",
      "votes": 0,
      "replies": [
        {
          "id": 447918,
          "author_name": "",
          "author_url": "",
          "post_date": "2018-12-30T20:51:34.097000",
          "content": "",
          "votes": 0,
          "replies": []
        },
        {
          "id": 448036,
          "author_name": "koderakan",
          "author_url": "",
          "post_date": "2018-12-31T05:34:51.800000",
          "content": "<p>Thanks a lot Peter; had been wondering if I was missing out some link or something.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 448059,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-12-31T06:46:00.967000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "448045": "You can refer to the data dictionary to understand at least the meaning behind some of them, even thought a lot of them are normalised ",
    "447839": "They're unfortunately left for us to make sense of.",
    "447746": "Hi Guys,\nI am new to Kaggle(joined just a few days ago) and am having trouble understanding the data for the competition. For example, what do the fields like Category_1, Numerical_1, Category_4 etc mean.\nAre we required to make sense of it ourselves or is there an explanation provided somewhere?",
    "448059": ""
  }
}