{
  "id": 22930,
  "title": "Missing demand data",
  "url": "/competitions/grupo-bimbo-inventory-demand/discussion/22930",
  "author_name": "",
  "post_date": "2016-08-18T10:42:52.633Z",
  "votes": null,
  "comment_count": 3,
  "views": 412,
  "content": "<p>What should we do about the demand data that is missing?  <a href=\"https://www.kaggle.com/wordsforthewise/grupo-bimbo-inventory-demand/check-out-missing-data/output\">For example, most Cliente_ID/Producto_ID combinations in the training data only have one week's worth of data</a>.  Do we assume the rest of the weeks they didn't order anything?  Or that they ordered the average amount based on the data that is there?</p>",
  "messages": [
    {
      "id": "131581",
      "postDate": "08/18/2016 10:42:52",
      "content": "<p>What should we do about the demand data that is missing?  <a href=\"https://www.kaggle.com/wordsforthewise/grupo-bimbo-inventory-demand/check-out-missing-data/output\">For example, most Cliente_ID/Producto_ID combinations in the training data only have one week's worth of data</a>.  Do we assume the rest of the weeks they didn't order anything?  Or that they ordered the average amount based on the data that is there?</p>",
      "rawMarkdown": "What should we do about the demand data that is missing?  [For example, most Cliente_ID/Producto_ID combinations in the training data only have one week's worth of data][1].  Do we assume the rest of the weeks they didn't order anything?  Or that they ordered the average amount based on the data that is there?\r\n\r\n\r\n  [1]: https://www.kaggle.com/wordsforthewise/grupo-bimbo-inventory-demand/check-out-missing-data/output",
      "votes": null
    },
    {
      "id": "131615",
      "postDate": "08/18/2016 16:15:49",
      "content": "<p>Roll with it. :)</p>",
      "rawMarkdown": "Roll with it. :)",
      "votes": null
    },
    {
      "id": "131630",
      "postDate": "08/18/2016 18:42:14",
      "content": "<p>There are entries in the dataset that list 0 demand.  I would guess that most of the missing values are due to no demand, but you probably shouldn't assume that universally.</p>",
      "rawMarkdown": "There are entries in the dataset that list 0 demand.  I would guess that most of the missing values are due to no demand, but you probably shouldn't assume that universally.",
      "votes": null
    },
    {
      "id": "131660",
      "postDate": "08/18/2016 22:19:21",
      "content": "<p>Ok, thanks.  I was thinking if the weeks weren't even listed in the data that they were 0 demand, but still am not super sure.</p>",
      "rawMarkdown": "Ok, thanks.  I was thinking if the weeks weren't even listed in the data that they were 0 demand, but still am not super sure.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 131615,
      "author_name": "crimeprophet",
      "author_url": "",
      "post_date": "08/18/2016 16:15:49",
      "content": "<p>Roll with it. :)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 131630,
      "author_name": "bveber",
      "author_url": "",
      "post_date": "08/18/2016 18:42:14",
      "content": "<p>There are entries in the dataset that list 0 demand.  I would guess that most of the missing values are due to no demand, but you probably shouldn't assume that universally.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 131660,
      "author_name": "wordsforthewise",
      "author_url": "",
      "post_date": "08/18/2016 22:19:21",
      "content": "<p>Ok, thanks.  I was thinking if the weeks weren't even listed in the data that they were 0 demand, but still am not super sure.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "131581": "What should we do about the demand data that is missing?  [For example, most Cliente_ID/Producto_ID combinations in the training data only have one week's worth of data][1].  Do we assume the rest of the weeks they didn't order anything?  Or that they ordered the average amount based on the data that is there?\r\n\r\n\r\n  [1]: https://www.kaggle.com/wordsforthewise/grupo-bimbo-inventory-demand/check-out-missing-data/output",
    "131615": "Roll with it. :)",
    "131630": "There are entries in the dataset that list 0 demand.  I would guess that most of the missing values are due to no demand, but you probably shouldn't assume that universally.",
    "131660": "Ok, thanks.  I was thinking if the weeks weren't even listed in the data that they were 0 demand, but still am not super sure."
  },
  "source": "meta"
}