{
  "id": 416263,
  "title": "x-axis ground truth labeling for dot chart",
  "url": "/competitions/benetech-making-graphs-accessible/discussion/416263",
  "author_name": "Hamzah",
  "post_date": "2023-06-10T12:05:05.896000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>It is written in the graph convention of this competition that <strong>The x-axis values will be numeric if the tick labels can be parsed as Python floats; otherwise, they are categorical</strong>. But I discovered that is not correct. For example, this image (019eac010fe2.jpg) has been labeled as categorical x-axis, you can see that from the data-series column, however, it should be numerical because it can be parsed as float. People who is responsible for this competition, do you have any comment about that? because during evaluation, it gives me error because of that. <br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F1bf71d7bdb752a74c8c4e6f7d28da209%2F019eac010fe2.jpg?generation=1686398769369399&amp;alt=media\" alt=\"Dot Plot\"></p>\n<p>Another case: <br>\nDot charts with x-axis ticks which are years, e.g., 1991. This type of ticks can be parsed as float in python, however, they are labeled as categorical. For example, this image (003559e94816.jpg) below: </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F8628e69ebd1bae7ba64842a5c6148b77%2F003559e94816.jpg?generation=1686399001833329&amp;alt=media\" alt=\"Dot chart\"></p>",
  "messages": [
    {
      "id": 2294875,
      "postDate": "2023-06-10T12:05:05.897Z",
      "content": "<p>It is written in the graph convention of this competition that <strong>The x-axis values will be numeric if the tick labels can be parsed as Python floats; otherwise, they are categorical</strong>. But I discovered that is not correct. For example, this image (019eac010fe2.jpg) has been labeled as categorical x-axis, you can see that from the data-series column, however, it should be numerical because it can be parsed as float. People who is responsible for this competition, do you have any comment about that? because during evaluation, it gives me error because of that. <br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F1bf71d7bdb752a74c8c4e6f7d28da209%2F019eac010fe2.jpg?generation=1686398769369399&amp;alt=media\" alt=\"Dot Plot\"></p>\n<p>Another case: <br>\nDot charts with x-axis ticks which are years, e.g., 1991. This type of ticks can be parsed as float in python, however, they are labeled as categorical. For example, this image (003559e94816.jpg) below: </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F8628e69ebd1bae7ba64842a5c6148b77%2F003559e94816.jpg?generation=1686399001833329&amp;alt=media\" alt=\"Dot chart\"></p>",
      "rawMarkdown": "It is written in the graph convention of this competition that **The x-axis values will be numeric if the tick labels can be parsed as Python floats; otherwise, they are categorical**. But I discovered that is not correct. For example, this image (019eac010fe2.jpg) has been labeled as categorical x-axis, you can see that from the data-series column, however, it should be numerical because it can be parsed as float. People who is responsible for this competition, do you have any comment about that? because during evaluation, it gives me error because of that. \n![Dot Plot](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F1bf71d7bdb752a74c8c4e6f7d28da209%2F019eac010fe2.jpg?generation=1686398769369399&alt=media)\n\nAnother case: \nDot charts with x-axis ticks which are years, e.g., 1991. This type of ticks can be parsed as float in python, however, they are labeled as categorical. For example, this image (003559e94816.jpg) below: \n\n![Dot chart](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F8628e69ebd1bae7ba64842a5c6148b77%2F003559e94816.jpg?generation=1686399001833329&alt=media)"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2294875": "It is written in the graph convention of this competition that **The x-axis values will be numeric if the tick labels can be parsed as Python floats; otherwise, they are categorical**. But I discovered that is not correct. For example, this image (019eac010fe2.jpg) has been labeled as categorical x-axis, you can see that from the data-series column, however, it should be numerical because it can be parsed as float. People who is responsible for this competition, do you have any comment about that? because during evaluation, it gives me error because of that. \n![Dot Plot](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F1bf71d7bdb752a74c8c4e6f7d28da209%2F019eac010fe2.jpg?generation=1686398769369399&alt=media)\n\nAnother case: \nDot charts with x-axis ticks which are years, e.g., 1991. This type of ticks can be parsed as float in python, however, they are labeled as categorical. For example, this image (003559e94816.jpg) below: \n\n![Dot chart](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F14946445%2F8628e69ebd1bae7ba64842a5c6148b77%2F003559e94816.jpg?generation=1686399001833329&alt=media)"
  }
}