{
  "id": 69837,
  "title": "Where are the v2 data files?",
  "url": "/competitions/ga-customer-revenue-prediction/discussion/69837",
  "author_name": "",
  "post_date": "2018-10-27T21:54:08.301183200Z",
  "votes": null,
  "comment_count": 5,
  "views": 0,
  "content": "<p>Can someone please advise where to download the updated version of data files? </p>",
  "messages": [
    {
      "id": "411334",
      "postDate": "10/27/2018 21:54:08",
      "content": "<p>Can someone please advise where to download the updated version of data files? </p>",
      "rawMarkdown": "Can someone please advise where to download the updated version of data files?",
      "votes": null
    },
    {
      "id": "411515",
      "postDate": "10/28/2018 10:59:41",
      "content": "<p>Have you noticed that the full visitorId in sample_submission.csv are different from the IDs in the test.csv?</p>",
      "rawMarkdown": "Have you noticed that the full visitorId in sample_submission.csv are different from the IDs in the test.csv?",
      "votes": null
    },
    {
      "id": "411781",
      "postDate": "10/29/2018 02:28:08",
      "content": "<p>I found there are 650489 unique fullVisitorId in test data, but only there are 617242 ids in sample_submission.csv. How to deal with this problem?</p>",
      "rawMarkdown": "I found there are 650489 unique fullVisitorId in test data, but only there are 617242 ids in sample_submission.csv. How to deal with this problem?",
      "votes": null
    },
    {
      "id": "411835",
      "postDate": "10/29/2018 05:09:22",
      "content": "<p>I didn't find the v2 file too.</p>",
      "rawMarkdown": "I didn't find the v2 file too.",
      "votes": null
    },
    {
      "id": "411839",
      "postDate": "10/29/2018 05:20:57",
      "content": "<p>There are leading zeros in fullVisitorId which are stripped by default. Forcing read_csv to assign string will keep the leading zeros and the number of unique visitors in test.csv will be 617242. (I force visitId too for good measure). IE. <code>test = pd.read_csv(\"../input/test.csv\", dtype={'fullVisitorId': 'str', 'visitId': 'str'})</code></p>",
      "rawMarkdown": "There are leading zeros in fullVisitorId which are stripped by default. Forcing read_csv to assign string will keep the leading zeros and the number of unique visitors in test.csv will be 617242. (I force visitId too for good measure). IE. `test = pd.read_csv(\"../input/test.csv\", dtype={'fullVisitorId': 'str', 'visitId': 'str'})`",
      "votes": null
    },
    {
      "id": "412007",
      "postDate": "10/29/2018 11:49:59",
      "content": "<p>It's not there yet - read <a href=\"https://www.kaggle.com/c/ga-customer-revenue-prediction/discussion/68353#404989\">https://www.kaggle.com/c/ga-customer-revenue-prediction/discussion/68353#404989</a> to get the details.</p>",
      "rawMarkdown": "It's not there yet - read https://www.kaggle.com/c/ga-customer-revenue-prediction/discussion/68353#404989 to get the details.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 411515,
      "author_name": "xhorxshen",
      "author_url": "",
      "post_date": "10/28/2018 10:59:41",
      "content": "<p>Have you noticed that the full visitorId in sample_submission.csv are different from the IDs in the test.csv?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 411781,
      "author_name": "rachel115",
      "author_url": "",
      "post_date": "10/29/2018 02:28:08",
      "content": "<p>I found there are 650489 unique fullVisitorId in test data, but only there are 617242 ids in sample_submission.csv. How to deal with this problem?</p>",
      "votes": null,
      "replies": [
        {
          "id": 411839,
          "author_name": "colinpearse",
          "author_url": "",
          "post_date": "10/29/2018 05:20:57",
          "content": "<p>There are leading zeros in fullVisitorId which are stripped by default. Forcing read_csv to assign string will keep the leading zeros and the number of unique visitors in test.csv will be 617242. (I force visitId too for good measure). IE. <code>test = pd.read_csv(\"../input/test.csv\", dtype={'fullVisitorId': 'str', 'visitId': 'str'})</code></p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 411835,
      "author_name": "oopsai",
      "author_url": "",
      "post_date": "10/29/2018 05:09:22",
      "content": "<p>I didn't find the v2 file too.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 412007,
      "author_name": "konradb",
      "author_url": "",
      "post_date": "10/29/2018 11:49:59",
      "content": "<p>It's not there yet - read <a href=\"https://www.kaggle.com/c/ga-customer-revenue-prediction/discussion/68353#404989\">https://www.kaggle.com/c/ga-customer-revenue-prediction/discussion/68353#404989</a> to get the details.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "411334": "Can someone please advise where to download the updated version of data files?",
    "411515": "Have you noticed that the full visitorId in sample_submission.csv are different from the IDs in the test.csv?",
    "411781": "I found there are 650489 unique fullVisitorId in test data, but only there are 617242 ids in sample_submission.csv. How to deal with this problem?",
    "411835": "I didn't find the v2 file too.",
    "411839": "There are leading zeros in fullVisitorId which are stripped by default. Forcing read_csv to assign string will keep the leading zeros and the number of unique visitors in test.csv will be 617242. (I force visitId too for good measure). IE. `test = pd.read_csv(\"../input/test.csv\", dtype={'fullVisitorId': 'str', 'visitId': 'str'})`",
    "412007": "It's not there yet - read https://www.kaggle.com/c/ga-customer-revenue-prediction/discussion/68353#404989 to get the details."
  },
  "source": "meta"
}