{
  "id": 115499,
  "title": "Deal with missing values on group level",
  "url": "/competitions/ashrae-energy-prediction/discussion/115499",
  "author_name": "",
  "post_date": "2019-11-03T07:35:11.809179200Z",
  "votes": 18,
  "comment_count": 5,
  "views": 0,
  "content": "<p>I just again went through several experiments with filling missing values in the building and weather data. </p>\n\n<p>I found this article to be quite helpful.</p>\n\n<p><a href=\"https://towardsdatascience.com/using-pandas-transform-and-apply-to-deal-with-missing-data-on-a-group-level-cb6ccf060531\">https://towardsdatascience.com/using-pandas-transform-and-apply-to-deal-with-missing-data-on-a-group-level-cb6ccf060531</a></p>",
  "messages": [
    {
      "id": "664123",
      "postDate": "11/03/2019 07:35:11",
      "content": "<p>I just again went through several experiments with filling missing values in the building and weather data. </p>\n\n<p>I found this article to be quite helpful.</p>\n\n<p><a href=\"https://towardsdatascience.com/using-pandas-transform-and-apply-to-deal-with-missing-data-on-a-group-level-cb6ccf060531\">https://towardsdatascience.com/using-pandas-transform-and-apply-to-deal-with-missing-data-on-a-group-level-cb6ccf060531</a></p>",
      "rawMarkdown": "I just again went through several experiments with filling missing values in the building and weather data. \n\nI found this article to be quite helpful.\n\nhttps://towardsdatascience.com/using-pandas-transform-and-apply-to-deal-with-missing-data-on-a-group-level-cb6ccf060531",
      "votes": null
    },
    {
      "id": "664220",
      "postDate": "11/03/2019 11:21:01",
      "content": "<p>Thanks. I don't know why people downvote stuff. </p>",
      "rawMarkdown": "Thanks. I don't know why people downvote stuff.",
      "votes": null
    },
    {
      "id": "665576",
      "postDate": "11/05/2019 06:14:16",
      "content": "<p>thanks for sharing!</p>",
      "rawMarkdown": "thanks for sharing!",
      "votes": null
    },
    {
      "id": "665664",
      "postDate": "11/05/2019 08:58:56",
      "content": "<p>thanks for sharing!</p>",
      "rawMarkdown": "thanks for sharing!",
      "votes": null
    },
    {
      "id": "667132",
      "postDate": "11/06/2019 21:14:55",
      "content": "<p>awesome, thanks</p>",
      "rawMarkdown": "awesome, thanks",
      "votes": null
    },
    {
      "id": "667309",
      "postDate": "11/07/2019 05:21:19",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 664220,
      "author_name": "themonologue",
      "author_url": "",
      "post_date": "11/03/2019 11:21:01",
      "content": "<p>Thanks. I don't know why people downvote stuff. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 665576,
      "author_name": "pratiksharma19",
      "author_url": "",
      "post_date": "11/05/2019 06:14:16",
      "content": "<p>thanks for sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 665664,
      "author_name": "longyin2",
      "author_url": "",
      "post_date": "11/05/2019 08:58:56",
      "content": "<p>thanks for sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 667132,
      "author_name": "felipemello",
      "author_url": "",
      "post_date": "11/06/2019 21:14:55",
      "content": "<p>awesome, thanks</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 667309,
      "author_name": "vikassingh1996",
      "author_url": "",
      "post_date": "11/07/2019 05:21:19",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "664123": "I just again went through several experiments with filling missing values in the building and weather data. \n\nI found this article to be quite helpful.\n\nhttps://towardsdatascience.com/using-pandas-transform-and-apply-to-deal-with-missing-data-on-a-group-level-cb6ccf060531",
    "664220": "Thanks. I don't know why people downvote stuff.",
    "665576": "thanks for sharing!",
    "665664": "thanks for sharing!",
    "667132": "awesome, thanks",
    "667309": "Thanks for sharing!"
  },
  "source": "meta"
}