{
  "id": 399179,
  "title": "Submissions with R?",
  "url": "/competitions/predict-student-performance-from-game-play/discussion/399179",
  "author_name": "",
  "post_date": "2023-04-02T22:22:35.242185600Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p>I'll try to keep the question as simple as possible. Is it possible to make a submission using R for this competition or is python a must?</p>\n<p>I am new to kaggle, and have tried to search in both the general forum and in this competition forum about everything related to submissions pretty much but I can't find anything relevant. How do people even know how to submit to start with? I can't for example find any information regarding the \"Kaggle's time series API\" mentioned in the \"Data\" tab for this competition. Am I just very bad at finding the right documentation?</p>",
  "messages": [
    {
      "id": "2206816",
      "postDate": "04/02/2023 22:22:35",
      "content": "<p>I'll try to keep the question as simple as possible. Is it possible to make a submission using R for this competition or is python a must?</p>\n<p>I am new to kaggle, and have tried to search in both the general forum and in this competition forum about everything related to submissions pretty much but I can't find anything relevant. How do people even know how to submit to start with? I can't for example find any information regarding the \"Kaggle's time series API\" mentioned in the \"Data\" tab for this competition. Am I just very bad at finding the right documentation?</p>",
      "rawMarkdown": "I'll try to keep the question as simple as possible. Is it possible to make a submission using R for this competition or is python a must?\n\nI am new to kaggle, and have tried to search in both the general forum and in this competition forum about everything related to submissions pretty much but I can't find anything relevant. How do people even know how to submit to start with? I can't for example find any information regarding the \"Kaggle's time series API\" mentioned in the \"Data\" tab for this competition. Am I just very bad at finding the right documentation?",
      "votes": null
    },
    {
      "id": "2207465",
      "postDate": "04/03/2023 12:49:32",
      "content": "<p>I am new to Kaggle as well and have been in your situtation. I have attempted the module you listed, but would suggest re-reading the lesson. I had similiar reactions only to find I have missed something in the reading. Good luck !</p>",
      "rawMarkdown": "I am new to Kaggle as well and have been in your situtation. I have attempted the module you listed, but would suggest re-reading the lesson. I had similiar reactions only to find I have missed something in the reading. Good luck !",
      "votes": null
    },
    {
      "id": "2208077",
      "postDate": "04/03/2023 19:26:18",
      "content": "<p>Hey Kushal, </p>\n<p>Thank you for your reply. What lesson are you refering to?</p>\n<p>Regards,<br>\nElias</p>",
      "rawMarkdown": "Hey Kushal, \n\nThank you for your reply. What lesson are you refering to?\n\nRegards,\nElias",
      "votes": null
    },
    {
      "id": "2208317",
      "postDate": "04/04/2023 00:54:37",
      "content": "<p>I've successfully submitted with R.<br>\n<a href=\"https://www.kaggle.com/code/igjit1/submission-using-time-series-api-with-r\" target=\"_blank\">https://www.kaggle.com/code/igjit1/submission-using-time-series-api-with-r</a></p>",
      "rawMarkdown": "I've successfully submitted with R.\nhttps://www.kaggle.com/code/igjit1/submission-using-time-series-api-with-r",
      "votes": null
    },
    {
      "id": "2208575",
      "postDate": "04/04/2023 06:58:01",
      "content": "<p>Thank you very much! I really appriciate it.</p>",
      "rawMarkdown": "Thank you very much! I really appriciate it.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2207465,
      "author_name": "kmukherjeenj",
      "author_url": "",
      "post_date": "04/03/2023 12:49:32",
      "content": "<p>I am new to Kaggle as well and have been in your situtation. I have attempted the module you listed, but would suggest re-reading the lesson. I had similiar reactions only to find I have missed something in the reading. Good luck !</p>",
      "votes": null,
      "replies": [
        {
          "id": 2208077,
          "author_name": "eliasforsblom",
          "author_url": "",
          "post_date": "04/03/2023 19:26:18",
          "content": "<p>Hey Kushal, </p>\n<p>Thank you for your reply. What lesson are you refering to?</p>\n<p>Regards,<br>\nElias</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2208317,
      "author_name": "igjit1",
      "author_url": "",
      "post_date": "04/04/2023 00:54:37",
      "content": "<p>I've successfully submitted with R.<br>\n<a href=\"https://www.kaggle.com/code/igjit1/submission-using-time-series-api-with-r\" target=\"_blank\">https://www.kaggle.com/code/igjit1/submission-using-time-series-api-with-r</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 2208575,
          "author_name": "eliasforsblom",
          "author_url": "",
          "post_date": "04/04/2023 06:58:01",
          "content": "<p>Thank you very much! I really appriciate it.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2206816": "I'll try to keep the question as simple as possible. Is it possible to make a submission using R for this competition or is python a must?\n\nI am new to kaggle, and have tried to search in both the general forum and in this competition forum about everything related to submissions pretty much but I can't find anything relevant. How do people even know how to submit to start with? I can't for example find any information regarding the \"Kaggle's time series API\" mentioned in the \"Data\" tab for this competition. Am I just very bad at finding the right documentation?",
    "2207465": "I am new to Kaggle as well and have been in your situtation. I have attempted the module you listed, but would suggest re-reading the lesson. I had similiar reactions only to find I have missed something in the reading. Good luck !",
    "2208077": "Hey Kushal, \n\nThank you for your reply. What lesson are you refering to?\n\nRegards,\nElias",
    "2208317": "I've successfully submitted with R.\nhttps://www.kaggle.com/code/igjit1/submission-using-time-series-api-with-r",
    "2208575": "Thank you very much! I really appriciate it."
  },
  "source": "meta"
}