{
  "id": 44426,
  "title": "Data Cleaning",
  "url": "/competitions/favorita-grocery-sales-forecasting/discussion/44426",
  "author_name": "",
  "post_date": "2017-11-28T15:02:35.004641400Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>can any one  tell me how to check that data is dirty or clean?</p>",
  "messages": [
    {
      "id": "249472",
      "postDate": "11/28/2017 15:02:35",
      "content": "<p>can any one  tell me how to check that data is dirty or clean?</p>",
      "rawMarkdown": "can any one  tell me how to check that data is dirty or clean?",
      "votes": null
    },
    {
      "id": "249837",
      "postDate": "11/29/2017 09:50:48",
      "content": "<p>Assuming you are using DataFrame, you can use Pandas_Summary. It will describe most things very quick based on the type of data it infers from the dataframe.</p>\n\n<blockquote>\n  <p>from pandas_summary import DataFrameSummary</p>\n</blockquote>\n\n<p>Careful, it can be long to load if the dataset is large</p>",
      "rawMarkdown": "Assuming you are using DataFrame, you can use Pandas_Summary. It will describe most things very quick based on the type of data it infers from the dataframe.\n\n&gt; from pandas_summary import DataFrameSummary\n\nCareful, it can be long to load if the dataset is large",
      "votes": null
    },
    {
      "id": "259393",
      "postDate": "12/18/2017 09:28:13",
      "content": "<p>how to split large files into smaller files ? </p>",
      "rawMarkdown": "how to split large files into smaller files ?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 249837,
      "author_name": "louisguth",
      "author_url": "",
      "post_date": "11/29/2017 09:50:48",
      "content": "<p>Assuming you are using DataFrame, you can use Pandas_Summary. It will describe most things very quick based on the type of data it infers from the dataframe.</p>\n\n<blockquote>\n  <p>from pandas_summary import DataFrameSummary</p>\n</blockquote>\n\n<p>Careful, it can be long to load if the dataset is large</p>",
      "votes": null,
      "replies": [
        {
          "id": 259393,
          "author_name": "mehdibalghari",
          "author_url": "",
          "post_date": "12/18/2017 09:28:13",
          "content": "<p>how to split large files into smaller files ? </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "249472": "can any one  tell me how to check that data is dirty or clean?",
    "249837": "Assuming you are using DataFrame, you can use Pandas_Summary. It will describe most things very quick based on the type of data it infers from the dataframe.\n\n&gt; from pandas_summary import DataFrameSummary\n\nCareful, it can be long to load if the dataset is large",
    "259393": "how to split large files into smaller files ?"
  },
  "source": "meta"
}