{
  "id": 113108,
  "title": "Series missing dates",
  "url": "/competitions/ashrae-energy-prediction/discussion/113108",
  "author_name": "",
  "post_date": "2019-10-17T03:12:10.519089200Z",
  "votes": -1,
  "comment_count": 5,
  "views": 0,
  "content": "<p>Did you notice that some series have missing dates values, do you think that predicting this missing values to oversample your training set can be a good solution. Uploading my eda soon. Cheers</p>",
  "messages": [
    {
      "id": "651087",
      "postDate": "10/17/2019 03:12:10",
      "content": "<p>Did you notice that some series have missing dates values, do you think that predicting this missing values to oversample your training set can be a good solution. Uploading my eda soon. Cheers</p>",
      "rawMarkdown": "Did you notice that some series have missing dates values, do you think that predicting this missing values to oversample your training set can be a good solution. Uploading my eda soon. Cheers",
      "votes": null
    },
    {
      "id": "651222",
      "postDate": "10/17/2019 07:42:10",
      "content": "<p>```\nyear_built column missing values: 12127645/20216100\nfloor_count column missing values: 16709167/20216100\nair_temperature column missing values: 96658/20216100\ncloud_coverage column missing values: 8825365/20216100\ndew_temperature column missing values: 100140/20216100\nprecip_depth_1_hr column missing values: 3749023/20216100\nsea_level_pressure column missing values: 1231669/20216100\nwind_direction column missing values: 1449048/20216100\nwind_speed column missing values: 143676/20216100</p>\n\n<p>year_built column missing values: 24598080/41697600\nfloor_count column missing values: 34444320/41697600\nair_temperature column missing values: 221901/41697600\ncloud_coverage column missing values: 19542180/41697600\ndew_temperature column missing values: 260799/41697600\nprecip_depth_1_hr column missing values: 7801563/41697600\nsea_level_pressure column missing values: 2516826/41697600\nwind_direction column missing values: 2978663/41697600\nwind_speed column missing values: 302089/41697600\n```</p>\n\n<p>These are the missing values in features for me. You probably did something wrong while merging data sets.</p>",
      "rawMarkdown": "```\nyear_built column missing values: 12127645/20216100\nfloor_count column missing values: 16709167/20216100\nair_temperature column missing values: 96658/20216100\ncloud_coverage column missing values: 8825365/20216100\ndew_temperature column missing values: 100140/20216100\nprecip_depth_1_hr column missing values: 3749023/20216100\nsea_level_pressure column missing values: 1231669/20216100\nwind_direction column missing values: 1449048/20216100\nwind_speed column missing values: 143676/20216100\n\n\nyear_built column missing values: 24598080/41697600\nfloor_count column missing values: 34444320/41697600\nair_temperature column missing values: 221901/41697600\ncloud_coverage column missing values: 19542180/41697600\ndew_temperature column missing values: 260799/41697600\nprecip_depth_1_hr column missing values: 7801563/41697600\nsea_level_pressure column missing values: 2516826/41697600\nwind_direction column missing values: 2978663/41697600\nwind_speed column missing values: 302089/41697600\n```\n\nThese are the missing values in features for me. You probably did something wrong while merging data sets.",
      "votes": null
    },
    {
      "id": "651227",
      "postDate": "10/17/2019 07:53:36",
      "content": "<p>Nope, no missing date values.</p>",
      "rawMarkdown": "Nope, no missing date values.",
      "votes": null
    },
    {
      "id": "651376",
      "postDate": "10/17/2019 12:32:41",
      "content": "<p>Ohhh i diden't make the idea clear, some series (when i talk about series is a building_id +  meter). Each building_id in combination with a meter is a series.</p>\n\n<p>Some series dont have data for some dates. </p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1231596%2Fd44edd431519ef89e4b5f72d13663135%2Fbuilding_id.png?generation=1571315552784076&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Ohhh i diden't make the idea clear, some series (when i talk about series is a building_id +  meter). Each building_id in combination with a meter is a series.\n\nSome series dont have data for some dates. \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1231596%2Fd44edd431519ef89e4b5f72d13663135%2Fbuilding_id.png?generation=1571315552784076&amp;alt=media)",
      "votes": null
    },
    {
      "id": "651377",
      "postDate": "10/17/2019 12:36:36",
      "content": "<p>In the picture above, in y-axis you have each building_id and in the x-axis you have the days of the February. You can see that top builiding_ids dont have observations for days 11-29.</p>",
      "rawMarkdown": "In the picture above, in y-axis you have each building_id and in the x-axis you have the days of the February. You can see that top builiding_ids dont have observations for days 11-29.",
      "votes": null
    },
    {
      "id": "651378",
      "postDate": "10/17/2019 12:37:28",
      "content": "<p>This is for the electricity meter. </p>",
      "rawMarkdown": "This is for the electricity meter.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 651222,
      "author_name": "gunesevitan",
      "author_url": "",
      "post_date": "10/17/2019 07:42:10",
      "content": "<p>```\nyear_built column missing values: 12127645/20216100\nfloor_count column missing values: 16709167/20216100\nair_temperature column missing values: 96658/20216100\ncloud_coverage column missing values: 8825365/20216100\ndew_temperature column missing values: 100140/20216100\nprecip_depth_1_hr column missing values: 3749023/20216100\nsea_level_pressure column missing values: 1231669/20216100\nwind_direction column missing values: 1449048/20216100\nwind_speed column missing values: 143676/20216100</p>\n\n<p>year_built column missing values: 24598080/41697600\nfloor_count column missing values: 34444320/41697600\nair_temperature column missing values: 221901/41697600\ncloud_coverage column missing values: 19542180/41697600\ndew_temperature column missing values: 260799/41697600\nprecip_depth_1_hr column missing values: 7801563/41697600\nsea_level_pressure column missing values: 2516826/41697600\nwind_direction column missing values: 2978663/41697600\nwind_speed column missing values: 302089/41697600\n```</p>\n\n<p>These are the missing values in features for me. You probably did something wrong while merging data sets.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 651227,
      "author_name": "tiannnn",
      "author_url": "",
      "post_date": "10/17/2019 07:53:36",
      "content": "<p>Nope, no missing date values.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 651376,
      "author_name": "ragnar123",
      "author_url": "",
      "post_date": "10/17/2019 12:32:41",
      "content": "<p>Ohhh i diden't make the idea clear, some series (when i talk about series is a building_id +  meter). Each building_id in combination with a meter is a series.</p>\n\n<p>Some series dont have data for some dates. </p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1231596%2Fd44edd431519ef89e4b5f72d13663135%2Fbuilding_id.png?generation=1571315552784076&amp;alt=media\" alt=\"\"></p>",
      "votes": null,
      "replies": [
        {
          "id": 651377,
          "author_name": "ragnar123",
          "author_url": "",
          "post_date": "10/17/2019 12:36:36",
          "content": "<p>In the picture above, in y-axis you have each building_id and in the x-axis you have the days of the February. You can see that top builiding_ids dont have observations for days 11-29.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 651378,
          "author_name": "ragnar123",
          "author_url": "",
          "post_date": "10/17/2019 12:37:28",
          "content": "<p>This is for the electricity meter. </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "651087": "Did you notice that some series have missing dates values, do you think that predicting this missing values to oversample your training set can be a good solution. Uploading my eda soon. Cheers",
    "651222": "```\nyear_built column missing values: 12127645/20216100\nfloor_count column missing values: 16709167/20216100\nair_temperature column missing values: 96658/20216100\ncloud_coverage column missing values: 8825365/20216100\ndew_temperature column missing values: 100140/20216100\nprecip_depth_1_hr column missing values: 3749023/20216100\nsea_level_pressure column missing values: 1231669/20216100\nwind_direction column missing values: 1449048/20216100\nwind_speed column missing values: 143676/20216100\n\n\nyear_built column missing values: 24598080/41697600\nfloor_count column missing values: 34444320/41697600\nair_temperature column missing values: 221901/41697600\ncloud_coverage column missing values: 19542180/41697600\ndew_temperature column missing values: 260799/41697600\nprecip_depth_1_hr column missing values: 7801563/41697600\nsea_level_pressure column missing values: 2516826/41697600\nwind_direction column missing values: 2978663/41697600\nwind_speed column missing values: 302089/41697600\n```\n\nThese are the missing values in features for me. You probably did something wrong while merging data sets.",
    "651227": "Nope, no missing date values.",
    "651376": "Ohhh i diden't make the idea clear, some series (when i talk about series is a building_id +  meter). Each building_id in combination with a meter is a series.\n\nSome series dont have data for some dates. \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1231596%2Fd44edd431519ef89e4b5f72d13663135%2Fbuilding_id.png?generation=1571315552784076&amp;alt=media)",
    "651377": "In the picture above, in y-axis you have each building_id and in the x-axis you have the days of the February. You can see that top builiding_ids dont have observations for days 11-29.",
    "651378": "This is for the electricity meter."
  },
  "source": "meta"
}