{
  "id": 215464,
  "title": "Introduction to Indoor Location & Navigation (Exploratory Data Analysis)",
  "url": "/competitions/indoor-location-navigation/discussion/215464",
  "author_name": "ilovescience",
  "post_date": "2021-01-30T00:09:14.734000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I wrote my first in-depth exploratory data analysis notebook. It provides an overview of the data organization, features, processing, visualization, evaluation, and more. Hopefully it is a good resource for people who are starting this competition. I would also greatly appreciate any feedback you have for improving this notebook. </p>\n<h1>Indoor Location Navigation EDA</h1>\n<p><a href=\"https://www.kaggle.com/tanlikesmath/indoor-location-navigation-eda\" target=\"_blank\">https://www.kaggle.com/tanlikesmath/indoor-location-navigation-eda</a></p>",
  "messages": [
    {
      "id": 1176986,
      "postDate": "2021-01-30T00:09:14.733Z",
      "content": "<p>I wrote my first in-depth exploratory data analysis notebook. It provides an overview of the data organization, features, processing, visualization, evaluation, and more. Hopefully it is a good resource for people who are starting this competition. I would also greatly appreciate any feedback you have for improving this notebook. </p>\n<h1>Indoor Location Navigation EDA</h1>\n<p><a href=\"https://www.kaggle.com/tanlikesmath/indoor-location-navigation-eda\" target=\"_blank\">https://www.kaggle.com/tanlikesmath/indoor-location-navigation-eda</a></p>",
      "rawMarkdown": "I wrote my first in-depth exploratory data analysis notebook. It provides an overview of the data organization, features, processing, visualization, evaluation, and more. Hopefully it is a good resource for people who are starting this competition. I would also greatly appreciate any feedback you have for improving this notebook. \n\n# Indoor Location Navigation EDA\nhttps://www.kaggle.com/tanlikesmath/indoor-location-navigation-eda\n",
      "votes": 5
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1176986": "I wrote my first in-depth exploratory data analysis notebook. It provides an overview of the data organization, features, processing, visualization, evaluation, and more. Hopefully it is a good resource for people who are starting this competition. I would also greatly appreciate any feedback you have for improving this notebook. \n\n# Indoor Location Navigation EDA\nhttps://www.kaggle.com/tanlikesmath/indoor-location-navigation-eda\n"
  }
}