{
  "id": 41459,
  "title": "Outrageous outliers in bd column of members.csv",
  "url": "/competitions/kkbox-churn-prediction-challenge/discussion/41459",
  "author_name": "",
  "post_date": "2017-10-18T10:33:30.824696500Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I was wondering how to handle the outliers present in the <strong>bd</strong> column of the <strong>members.csv</strong> file? It is mentioned that this column has the ages of all the members. There are several instances of negative age!! The values range ridiculously from -6800 to 2015!!</p>\n\n<p>Does anyone know how to handle it?</p>",
  "messages": [
    {
      "id": "232753",
      "postDate": "10/18/2017 10:33:30",
      "content": "<p>I was wondering how to handle the outliers present in the <strong>bd</strong> column of the <strong>members.csv</strong> file? It is mentioned that this column has the ages of all the members. There are several instances of negative age!! The values range ridiculously from -6800 to 2015!!</p>\n\n<p>Does anyone know how to handle it?</p>",
      "rawMarkdown": "I was wondering how to handle the outliers present in the **bd** column of the **members.csv** file? It is mentioned that this column has the ages of all the members. There are several instances of negative age!! The values range ridiculously from -6800 to 2015!!\n\nDoes anyone know how to handle it?",
      "votes": null
    },
    {
      "id": "232791",
      "postDate": "10/18/2017 12:54:03",
      "content": "<p>Just drop it. : (</p>",
      "rawMarkdown": "Just drop it. : (",
      "votes": null
    },
    {
      "id": "233464",
      "postDate": "10/20/2017 09:29:25",
      "content": "<p>for those age &gt; 15 and age &lt; 60 , regard as normal user, otherwise,  as unormal , thus we create a feature....</p>",
      "rawMarkdown": "for those age &gt; 15 and age &lt; 60 , regard as normal user, otherwise,  as unormal , thus we create a feature....",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 232791,
      "author_name": "qinhui1999",
      "author_url": "",
      "post_date": "10/18/2017 12:54:03",
      "content": "<p>Just drop it. : (</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 233464,
      "author_name": "transwarp",
      "author_url": "",
      "post_date": "10/20/2017 09:29:25",
      "content": "<p>for those age &gt; 15 and age &lt; 60 , regard as normal user, otherwise,  as unormal , thus we create a feature....</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "232753": "I was wondering how to handle the outliers present in the **bd** column of the **members.csv** file? It is mentioned that this column has the ages of all the members. There are several instances of negative age!! The values range ridiculously from -6800 to 2015!!\n\nDoes anyone know how to handle it?",
    "232791": "Just drop it. : (",
    "233464": "for those age &gt; 15 and age &lt; 60 , regard as normal user, otherwise,  as unormal , thus we create a feature...."
  },
  "source": "meta"
}