{
  "id": 67787,
  "title": "Read File",
  "url": "/competitions/ga-customer-revenue-prediction/discussion/67787",
  "author_name": "",
  "post_date": "2018-10-05T12:13:47.328973900Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi, I'm a beginner for data analytics. I'm trying to do this competition but I have a problem here.</p>\n\n<p>I tried to read the file, but my computer couldn't do it because it was too big. As a solution, I want to skip some rows reading, so I don't need to use such a big memory, but I think it will ruin the data itself.</p>\n\n<p>Does anyone know what method should I use for reading a whole file? Or does anyone have some advice about rules of skipping rows so it doesn't ruin the data itself?</p>\n\n<p>Thanks</p>",
  "messages": [
    {
      "id": "399210",
      "postDate": "10/05/2018 12:13:47",
      "content": "<p>Hi, I'm a beginner for data analytics. I'm trying to do this competition but I have a problem here.</p>\n\n<p>I tried to read the file, but my computer couldn't do it because it was too big. As a solution, I want to skip some rows reading, so I don't need to use such a big memory, but I think it will ruin the data itself.</p>\n\n<p>Does anyone know what method should I use for reading a whole file? Or does anyone have some advice about rules of skipping rows so it doesn't ruin the data itself?</p>\n\n<p>Thanks</p>",
      "rawMarkdown": "Hi, I'm a beginner for data analytics. I'm trying to do this competition but I have a problem here.\n\nI tried to read the file, but my computer couldn't do it because it was too big. As a solution, I want to skip some rows reading, so I don't need to use such a big memory, but I think it will ruin the data itself.\n\nDoes anyone know what method should I use for reading a whole file? Or does anyone have some advice about rules of skipping rows so it doesn't ruin the data itself?\n\nThanks",
      "votes": null
    },
    {
      "id": "399219",
      "postDate": "10/05/2018 12:43:20",
      "content": "<p>welcome on board! You do not have to use your computer.  You can do all the work in kaggle kernels (although I did not use it much.) You may want to have a look at <a href=\"https://www.kaggle.com/ravann/1-step-by-step-format-data-to-columnar-format\">https://www.kaggle.com/ravann/1-step-by-step-format-data-to-columnar-format</a> . </p>",
      "rawMarkdown": "welcome on board! You do not have to use your computer.  You can do all the work in kaggle kernels (although I did not use it much.) You may want to have a look at https://www.kaggle.com/ravann/1-step-by-step-format-data-to-columnar-format .",
      "votes": null
    },
    {
      "id": "399248",
      "postDate": "10/05/2018 13:42:41",
      "content": "<p>Thanks</p>",
      "rawMarkdown": "Thanks",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 399219,
      "author_name": "echowuhao",
      "author_url": "",
      "post_date": "10/05/2018 12:43:20",
      "content": "<p>welcome on board! You do not have to use your computer.  You can do all the work in kaggle kernels (although I did not use it much.) You may want to have a look at <a href=\"https://www.kaggle.com/ravann/1-step-by-step-format-data-to-columnar-format\">https://www.kaggle.com/ravann/1-step-by-step-format-data-to-columnar-format</a> . </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 399248,
      "author_name": "dominiquejeffrey",
      "author_url": "",
      "post_date": "10/05/2018 13:42:41",
      "content": "<p>Thanks</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "399210": "Hi, I'm a beginner for data analytics. I'm trying to do this competition but I have a problem here.\n\nI tried to read the file, but my computer couldn't do it because it was too big. As a solution, I want to skip some rows reading, so I don't need to use such a big memory, but I think it will ruin the data itself.\n\nDoes anyone know what method should I use for reading a whole file? Or does anyone have some advice about rules of skipping rows so it doesn't ruin the data itself?\n\nThanks",
    "399219": "welcome on board! You do not have to use your computer.  You can do all the work in kaggle kernels (although I did not use it much.) You may want to have a look at https://www.kaggle.com/ravann/1-step-by-step-format-data-to-columnar-format .",
    "399248": "Thanks"
  },
  "source": "meta"
}