{
  "id": 113226,
  "title": "Meter Type and Timestamp problem",
  "url": "/competitions/ashrae-energy-prediction/discussion/113226",
  "author_name": "",
  "post_date": "2019-10-17T23:36:40.090207400Z",
  "votes": 3,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Does it make sense to see the same meter type has huge difference rating across different site_id?\neg. for meter type 0, the average reading in site_id = 7 is around 2000 while all other site has average around 200. are they in different unit ?</p>\n\n<p>Also for the timestamp, is it possible that they are in different time zone with different site_id?\neg. the peak reading (same meter type , and on average) for some site_id are around 11 or 12 am , while some other site_id has peak hour around 4pm</p>",
  "messages": [
    {
      "id": "651783",
      "postDate": "10/17/2019 23:36:40",
      "content": "<p>Does it make sense to see the same meter type has huge difference rating across different site_id?\neg. for meter type 0, the average reading in site_id = 7 is around 2000 while all other site has average around 200. are they in different unit ?</p>\n\n<p>Also for the timestamp, is it possible that they are in different time zone with different site_id?\neg. the peak reading (same meter type , and on average) for some site_id are around 11 or 12 am , while some other site_id has peak hour around 4pm</p>",
      "rawMarkdown": "Does it make sense to see the same meter type has huge difference rating across different site_id?\neg. for meter type 0, the average reading in site_id = 7 is around 2000 while all other site has average around 200. are they in different unit ?\n\nAlso for the timestamp, is it possible that they are in different time zone with different site_id?\neg. the peak reading (same meter type , and on average) for some site_id are around 11 or 12 am , while some other site_id has peak hour around 4pm",
      "votes": null
    },
    {
      "id": "653324",
      "postDate": "10/20/2019 08:42:15",
      "content": "<pre><code>    The reason is  there are only 12 buildings for site_id 7  and they are all educational institutions with  average sqft are of 350,000+  as sumarised below.           \n                meter_reading_mean        square_feet       building_count\n</code></pre>\n\n<p>primary_use <br>\n Education      2050.665326           364178.583333                  12</p>",
      "rawMarkdown": "The reason is  there are only 12 buildings for site_id 7  and they are all educational institutions with  average sqft are of 350,000+  as sumarised below.           \n                    meter_reading_mean\t      square_feet  \t    building_count\nprimary_use\t\t\t\n Education\t    2050.665326\t          364178.583333\t                 12",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 653324,
      "author_name": "rajeshcv",
      "author_url": "",
      "post_date": "10/20/2019 08:42:15",
      "content": "<pre><code>    The reason is  there are only 12 buildings for site_id 7  and they are all educational institutions with  average sqft are of 350,000+  as sumarised below.           \n                meter_reading_mean        square_feet       building_count\n</code></pre>\n\n<p>primary_use <br>\n Education      2050.665326           364178.583333                  12</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "651783": "Does it make sense to see the same meter type has huge difference rating across different site_id?\neg. for meter type 0, the average reading in site_id = 7 is around 2000 while all other site has average around 200. are they in different unit ?\n\nAlso for the timestamp, is it possible that they are in different time zone with different site_id?\neg. the peak reading (same meter type , and on average) for some site_id are around 11 or 12 am , while some other site_id has peak hour around 4pm",
    "653324": "The reason is  there are only 12 buildings for site_id 7  and they are all educational institutions with  average sqft are of 350,000+  as sumarised below.           \n                    meter_reading_mean\t      square_feet  \t    building_count\nprimary_use\t\t\t\n Education\t    2050.665326\t          364178.583333\t                 12"
  },
  "source": "meta"
}