{
  "id": 3682,
  "title": "departure_airport_code in flighthistory.csv",
  "url": "/competitions/flight/discussion/3682",
  "author_name": "",
  "post_date": "2013-01-24T12:37:44.937Z",
  "votes": null,
  "comment_count": 1,
  "views": 2098,
  "content": "<p>The departure_airport_code in flighthistory.csv is expected to be 3 characters long, isn't it? In few cases it's 4 characters long and equals the icao code. Same for arrival_airport_code.</p>",
  "messages": [
    {
      "id": "19656",
      "postDate": "01/24/2013 12:37:44",
      "content": "<p>The departure_airport_code in flighthistory.csv is expected to be 3 characters long, isn't it? In few cases it's 4 characters long and equals the icao code. Same for arrival_airport_code.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "19926",
      "postDate": "02/01/2013 14:59:29",
      "content": "<p>Hi Martin,</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>I think departure_airport_code is not relevant. &nbsp; Try to extract only 3 requested variables from flighthistory.csv;&nbsp; flight_history_id,&nbsp; actual_runway_arrival, actual_gate_arrival. &nbsp; You can use MS Excel (data, import, text). &nbsp;&nbsp; There are many fields with\r\n missings and hiddens.&nbsp;&nbsp; You can try to estimate missing and hidden fields (a bit difficult),&nbsp; or&nbsp; put&nbsp; 0s&nbsp; (errors in predictions wil be high).\r\n</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>regards,</p>\r\n<p>&nbsp;</p>\r\n<p>I. Jaganjac.</p>\r\n<p>&nbsp;</p>",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 19926,
      "author_name": "ijaganjac",
      "author_url": "",
      "post_date": "02/01/2013 14:59:29",
      "content": "<p>Hi Martin,</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>I think departure_airport_code is not relevant. &nbsp; Try to extract only 3 requested variables from flighthistory.csv;&nbsp; flight_history_id,&nbsp; actual_runway_arrival, actual_gate_arrival. &nbsp; You can use MS Excel (data, import, text). &nbsp;&nbsp; There are many fields with\r\n missings and hiddens.&nbsp;&nbsp; You can try to estimate missing and hidden fields (a bit difficult),&nbsp; or&nbsp; put&nbsp; 0s&nbsp; (errors in predictions wil be high).\r\n</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>&nbsp;</p>\r\n<p>regards,</p>\r\n<p>&nbsp;</p>\r\n<p>I. Jaganjac.</p>\r\n<p>&nbsp;</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "19656": "",
    "19926": ""
  },
  "source": "meta"
}