{
  "id": 23941,
  "title": "NaN meaning",
  "url": "/competitions/bosch-production-line-performance/discussion/23941",
  "author_name": "",
  "post_date": "2016-09-28T07:02:32.803Z",
  "votes": null,
  "comment_count": 3,
  "views": 616,
  "content": "<p>If I am looking at ID 2 for example, and it has a NaN value for a certain Station, does that mean it does not pass through it in the production line ?</p>",
  "messages": [
    {
      "id": "137100",
      "postDate": "09/28/2016 07:02:32",
      "content": "<p>If I am looking at ID 2 for example, and it has a NaN value for a certain Station, does that mean it does not pass through it in the production line ?</p>",
      "rawMarkdown": "If I am looking at ID 2 for example, and it has a NaN value for a certain Station, does that mean it does not pass through it in the production line ?",
      "votes": null
    },
    {
      "id": "137105",
      "postDate": "09/28/2016 08:20:18",
      "content": "<p>Probably so.</p>",
      "rawMarkdown": "Probably so.",
      "votes": null
    },
    {
      "id": "137135",
      "postDate": "09/28/2016 14:58:31",
      "content": "<p>If ALL features in a station are NaN, then I would assume it did not pass through that station. Some samples have a mix of NaN and and measured values at the station level, so just one NaN does not mean the part did not pass through that station. I ran an <a href=\"https://www.kaggle.com/jeffd23/bosch-production-line-performance/what-s-wrong-with-station-32\">analysis</a> on the numeric dataset that breaks down an answer to this question more clearly. </p>",
      "rawMarkdown": "If ALL features in a station are NaN, then I would assume it did not pass through that station. Some samples have a mix of NaN and and measured values at the station level, so just one NaN does not mean the part did not pass through that station. I ran an [analysis][1] on the numeric dataset that breaks down an answer to this question more clearly. \r\n\r\n\r\n  [1]: https://www.kaggle.com/jeffd23/bosch-production-line-performance/what-s-wrong-with-station-32",
      "votes": null
    },
    {
      "id": "137154",
      "postDate": "09/28/2016 18:00:27",
      "content": "<p>Yea that's what I was thinking too, So if for example all features for L0_S0 are NAN then the part does not pass through the station. However if L0_S1 has at least one non NAN value then it passes through Station 1, right ?</p>",
      "rawMarkdown": "Yea that's what I was thinking too, So if for example all features for L0_S0 are NAN then the part does not pass through the station. However if L0_S1 has at least one non NAN value then it passes through Station 1, right ?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 137105,
      "author_name": "nbdyz0",
      "author_url": "",
      "post_date": "09/28/2016 08:20:18",
      "content": "<p>Probably so.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 137135,
      "author_name": "jeffd23",
      "author_url": "",
      "post_date": "09/28/2016 14:58:31",
      "content": "<p>If ALL features in a station are NaN, then I would assume it did not pass through that station. Some samples have a mix of NaN and and measured values at the station level, so just one NaN does not mean the part did not pass through that station. I ran an <a href=\"https://www.kaggle.com/jeffd23/bosch-production-line-performance/what-s-wrong-with-station-32\">analysis</a> on the numeric dataset that breaks down an answer to this question more clearly. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 137154,
      "author_name": "abdelrahmanhammad",
      "author_url": "",
      "post_date": "09/28/2016 18:00:27",
      "content": "<p>Yea that's what I was thinking too, So if for example all features for L0_S0 are NAN then the part does not pass through the station. However if L0_S1 has at least one non NAN value then it passes through Station 1, right ?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "137100": "If I am looking at ID 2 for example, and it has a NaN value for a certain Station, does that mean it does not pass through it in the production line ?",
    "137105": "Probably so.",
    "137135": "If ALL features in a station are NaN, then I would assume it did not pass through that station. Some samples have a mix of NaN and and measured values at the station level, so just one NaN does not mean the part did not pass through that station. I ran an [analysis][1] on the numeric dataset that breaks down an answer to this question more clearly. \r\n\r\n\r\n  [1]: https://www.kaggle.com/jeffd23/bosch-production-line-performance/what-s-wrong-with-station-32",
    "137154": "Yea that's what I was thinking too, So if for example all features for L0_S0 are NAN then the part does not pass through the station. However if L0_S1 has at least one non NAN value then it passes through Station 1, right ?"
  },
  "source": "meta"
}