{
  "id": 438155,
  "title": " Exploratory Data Analysis (EDA) using ydata-profiling (previously pandas-profiling)",
  "url": "/competitions/stanford-ribonanza-rna-folding/discussion/438155",
  "author_name": "",
  "post_date": "2023-09-09T18:28:37.778226100Z",
  "votes": 4,
  "comment_count": 2,
  "views": 0,
  "content": "<p>We can do exploratory data analysis using Pandas with only few lines of code. The output from the EDA can also be exported in different formats such as html and json</p>\n<blockquote>\n  <p>import pandas as pd</p>\n  <p>import ydata_profiling as pp</p>\n  <p>train_data = pd.read_csv(\"/kaggle/input/stanford-ribonanza-rna-folding/train_data.csv\")</p>\n  <p>profile = pp.ProfileReport(train_data, title = \"Train Data Exploration\")</p>\n  <p>profile.to_file(\"output.html\")</p>\n</blockquote>",
  "messages": [
    {
      "id": "2431041",
      "postDate": "09/09/2023 18:28:37",
      "content": "<p>We can do exploratory data analysis using Pandas with only few lines of code. The output from the EDA can also be exported in different formats such as html and json</p>\n<blockquote>\n  <p>import pandas as pd</p>\n  <p>import ydata_profiling as pp</p>\n  <p>train_data = pd.read_csv(\"/kaggle/input/stanford-ribonanza-rna-folding/train_data.csv\")</p>\n  <p>profile = pp.ProfileReport(train_data, title = \"Train Data Exploration\")</p>\n  <p>profile.to_file(\"output.html\")</p>\n</blockquote>",
      "rawMarkdown": "We can do exploratory data analysis using Pandas with only few lines of code. The output from the EDA can also be exported in different formats such as html and json\n\n>import pandas as pd\n\n>import ydata_profiling as pp\n\n>train_data = pd.read_csv(\"/kaggle/input/stanford-ribonanza-rna-folding/train_data.csv\")\n\n>profile = pp.ProfileReport(train_data, title = \"Train Data Exploration\")\n\n>profile.to_file(\"output.html\")",
      "votes": null
    },
    {
      "id": "2431207",
      "postDate": "09/09/2023 22:18:38",
      "content": "<p>nice work!!!!!!</p>",
      "rawMarkdown": "nice work!!!!!!",
      "votes": null
    },
    {
      "id": "2431874",
      "postDate": "09/10/2023 13:26:13",
      "content": "<p>I often use this to get an overview of data to start with.<br>\nOne can also try dataprep.  Here are <a href=\"https://medium.com/geekculture/10-automated-eda-libraries-at-one-place-ea5d4c162bbb\" target=\"_blank\">10 auto EDA tools</a>.</p>",
      "rawMarkdown": "I often use this to get an overview of data to start with.\nOne can also try dataprep.  Here are [10 auto EDA tools](https://medium.com/geekculture/10-automated-eda-libraries-at-one-place-ea5d4c162bbb).",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2431207,
      "author_name": "mayarmohamedswilam",
      "author_url": "",
      "post_date": "09/09/2023 22:18:38",
      "content": "<p>nice work!!!!!!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2431874,
      "author_name": "ddosad",
      "author_url": "",
      "post_date": "09/10/2023 13:26:13",
      "content": "<p>I often use this to get an overview of data to start with.<br>\nOne can also try dataprep.  Here are <a href=\"https://medium.com/geekculture/10-automated-eda-libraries-at-one-place-ea5d4c162bbb\" target=\"_blank\">10 auto EDA tools</a>.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2431041": "We can do exploratory data analysis using Pandas with only few lines of code. The output from the EDA can also be exported in different formats such as html and json\n\n>import pandas as pd\n\n>import ydata_profiling as pp\n\n>train_data = pd.read_csv(\"/kaggle/input/stanford-ribonanza-rna-folding/train_data.csv\")\n\n>profile = pp.ProfileReport(train_data, title = \"Train Data Exploration\")\n\n>profile.to_file(\"output.html\")",
    "2431207": "nice work!!!!!!",
    "2431874": "I often use this to get an overview of data to start with.\nOne can also try dataprep.  Here are [10 auto EDA tools](https://medium.com/geekculture/10-automated-eda-libraries-at-one-place-ea5d4c162bbb)."
  },
  "source": "meta"
}