{
  "id": 149866,
  "title": "Visualization of data distribution through Donut, Pie graphs",
  "url": "/competitions/prostate-cancer-grade-assessment/discussion/149866",
  "author_name": "Raibek",
  "post_date": "2020-05-10T09:20:32.991000",
  "votes": 21,
  "comment_count": 12,
  "views": 0,
  "content": "<p>While playing with different ways to visualize data distribution by <a href=\"https://matplotlib.org/\">matplotlib</a> I've liked these variants most.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F28fc35d8086f7ee93c15d36d7a9293fd%2FPANDA%20ISUP%20data%20distribution.png?generation=1589102041211031&amp;alt=media\" alt=\"\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F8aa09b39909647bb15d8af46f8ee783d%2FPANDA%20Gleason%20data%20distribution.png?generation=1589102112603834&amp;alt=media\" alt=\"\"></p>\n\n<p><strong>See my notebook <a href=\"https://www.kaggle.com/raibektussupbekov/panda-eda?scriptVersionId=33684653\">PANDA EDA</a> for more details.</strong></p>",
  "messages": [
    {
      "id": 840690,
      "postDate": "2020-05-10T09:20:32.990Z",
      "content": "<p>While playing with different ways to visualize data distribution by <a href=\"https://matplotlib.org/\">matplotlib</a> I've liked these variants most.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F28fc35d8086f7ee93c15d36d7a9293fd%2FPANDA%20ISUP%20data%20distribution.png?generation=1589102041211031&amp;alt=media\" alt=\"\"></p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F8aa09b39909647bb15d8af46f8ee783d%2FPANDA%20Gleason%20data%20distribution.png?generation=1589102112603834&amp;alt=media\" alt=\"\"></p>\n\n<p><strong>See my notebook <a href=\"https://www.kaggle.com/raibektussupbekov/panda-eda?scriptVersionId=33684653\">PANDA EDA</a> for more details.</strong></p>",
      "rawMarkdown": "While playing with different ways to visualize data distribution by [matplotlib](https://matplotlib.org/) I've liked these variants most.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F28fc35d8086f7ee93c15d36d7a9293fd%2FPANDA%20ISUP%20data%20distribution.png?generation=1589102041211031&amp;alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F8aa09b39909647bb15d8af46f8ee783d%2FPANDA%20Gleason%20data%20distribution.png?generation=1589102112603834&amp;alt=media)\n\n**See my notebook [PANDA EDA](https://www.kaggle.com/raibektussupbekov/panda-eda?scriptVersionId=33684653) for more details.**\n  ",
      "votes": 21
    },
    {
      "id": 850921,
      "postDate": "2020-05-17T07:02:05.440Z",
      "content": "<p>This is very impressive. Would you care to share the code used to create these plots?</p>",
      "rawMarkdown": "This is very impressive. Would you care to share the code used to create these plots?",
      "replies": [
        {
          "id": 851264,
          "postDate": "2020-05-17T13:44:49.633Z",
          "content": "<p>Thank you, please see my notebook for code <a href=\"https://www.kaggle.com/raibektussupbekov/panda-eda?scriptVersionId=33684653\">PANDA EDA</a></p>",
          "rawMarkdown": "Thank you, please see my notebook for code [PANDA EDA](https://www.kaggle.com/raibektussupbekov/panda-eda?scriptVersionId=33684653)\n"
        }
      ]
    },
    {
      "id": 845288,
      "postDate": "2020-05-13T06:17:18.497Z",
      "content": "<p>i love  visual representation provided by your plot.</p>",
      "rawMarkdown": "i love  visual representation provided by your plot."
    },
    {
      "id": 844637,
      "postDate": "2020-05-12T18:22:30.427Z",
      "content": "<p>Good visualisations keep it up</p>",
      "rawMarkdown": "Good visualisations keep it up\n"
    },
    {
      "id": 844437,
      "postDate": "2020-05-12T15:49:04.477Z",
      "content": "<p>Good visualisations keep it up</p>",
      "rawMarkdown": "Good visualisations keep it up"
    },
    {
      "id": 842754,
      "postDate": "2020-05-11T16:07:30.633Z",
      "content": "<p>Really beautiful visuals mate :)\nCheck me out too, maybe you find something you like.</p>",
      "rawMarkdown": "Really beautiful visuals mate :)\nCheck me out too, maybe you find something you like."
    },
    {
      "id": 841760,
      "postDate": "2020-05-11T02:23:41.187Z",
      "content": "<p>Helpful visualizations </p>",
      "rawMarkdown": "Helpful visualizations ",
      "replies": [
        {
          "id": 841767,
          "postDate": "2020-05-11T02:27:20.830Z",
          "content": "<p>Thanks😊 </p>",
          "rawMarkdown": "Thanks😊 "
        }
      ]
    },
    {
      "id": 841672,
      "postDate": "2020-05-11T00:16:34.243Z",
      "content": "<p>I really like the visual representation provided by your first plot.</p>",
      "rawMarkdown": "I really like the visual representation provided by your first plot.",
      "replies": [
        {
          "id": 841763,
          "postDate": "2020-05-11T02:26:03.803Z",
          "content": "<p>I'm really flattered😀 </p>",
          "rawMarkdown": "I'm really flattered😀 "
        }
      ]
    },
    {
      "id": 840757,
      "postDate": "2020-05-10T10:57:56.550Z",
      "content": "<p>Thanks :)</p>",
      "rawMarkdown": "Thanks :)",
      "replies": [
        {
          "id": 841765,
          "postDate": "2020-05-11T02:26:17.087Z",
          "content": "<p>You're welcome)</p>",
          "rawMarkdown": "You're welcome)"
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 850921,
      "author_name": "Shujun",
      "author_url": "",
      "post_date": "2020-05-17T07:02:05.440000",
      "content": "<p>This is very impressive. Would you care to share the code used to create these plots?</p>",
      "votes": 0,
      "replies": [
        {
          "id": 851264,
          "author_name": "Raibek",
          "author_url": "",
          "post_date": "2020-05-17T13:44:49.633000",
          "content": "<p>Thank you, please see my notebook for code <a href=\"https://www.kaggle.com/raibektussupbekov/panda-eda?scriptVersionId=33684653\">PANDA EDA</a></p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 845288,
      "author_name": "Santosh Kumar",
      "author_url": "",
      "post_date": "2020-05-13T06:17:18.497000",
      "content": "<p>i love  visual representation provided by your plot.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 844637,
      "author_name": "Mohsin Raza",
      "author_url": "",
      "post_date": "2020-05-12T18:22:30.427000",
      "content": "<p>Good visualisations keep it up</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 844437,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-05-12T15:49:04.477000",
      "content": "<p>Good visualisations keep it up</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 842754,
      "author_name": "Alin Cijov",
      "author_url": "",
      "post_date": "2020-05-11T16:07:30.633000",
      "content": "<p>Really beautiful visuals mate :)\nCheck me out too, maybe you find something you like.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 841760,
      "author_name": "Amit Hasan Shuvo",
      "author_url": "",
      "post_date": "2020-05-11T02:23:41.187000",
      "content": "<p>Helpful visualizations </p>",
      "votes": 0,
      "replies": [
        {
          "id": 841767,
          "author_name": "Raibek",
          "author_url": "",
          "post_date": "2020-05-11T02:27:20.830000",
          "content": "<p>Thanks😊 </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 841672,
      "author_name": "Iafoss",
      "author_url": "",
      "post_date": "2020-05-11T00:16:34.243000",
      "content": "<p>I really like the visual representation provided by your first plot.</p>",
      "votes": 0,
      "replies": [
        {
          "id": 841763,
          "author_name": "Raibek",
          "author_url": "",
          "post_date": "2020-05-11T02:26:03.803000",
          "content": "<p>I'm really flattered😀 </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 840757,
      "author_name": "Alberto Maria Falletta",
      "author_url": "",
      "post_date": "2020-05-10T10:57:56.550000",
      "content": "<p>Thanks :)</p>",
      "votes": 0,
      "replies": [
        {
          "id": 841765,
          "author_name": "Raibek",
          "author_url": "",
          "post_date": "2020-05-11T02:26:17.087000",
          "content": "<p>You're welcome)</p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "840690": "While playing with different ways to visualize data distribution by [matplotlib](https://matplotlib.org/) I've liked these variants most.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F28fc35d8086f7ee93c15d36d7a9293fd%2FPANDA%20ISUP%20data%20distribution.png?generation=1589102041211031&amp;alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3962172%2F8aa09b39909647bb15d8af46f8ee783d%2FPANDA%20Gleason%20data%20distribution.png?generation=1589102112603834&amp;alt=media)\n\n**See my notebook [PANDA EDA](https://www.kaggle.com/raibektussupbekov/panda-eda?scriptVersionId=33684653) for more details.**\n  ",
    "850921": "This is very impressive. Would you care to share the code used to create these plots?",
    "845288": "i love  visual representation provided by your plot.",
    "844637": "Good visualisations keep it up\n",
    "844437": "Good visualisations keep it up",
    "842754": "Really beautiful visuals mate :)\nCheck me out too, maybe you find something you like.",
    "841760": "Helpful visualizations ",
    "841672": "I really like the visual representation provided by your first plot.",
    "840757": "Thanks :)"
  }
}