https://github.com/akshayreddykotha/exploring-hacker-news-posts

Which hours are receiving higher average number of comments, points?
https://github.com/akshayreddykotha/exploring-hacker-news-posts

jupyter-notebook lists-python python3

Last synced: about 1 month ago
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Which hours are receiving higher average number of comments, points?

• Host: GitHub
• URL: https://github.com/akshayreddykotha/exploring-hacker-news-posts
• Owner: akshayreddykotha
• Created: 2019-03-06T06:38:15.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-06T07:36:50.000Z (almost 6 years ago)
• Last Synced: 2024-11-11T17:35:17.099Z (3 months ago)
• Topics: jupyter-notebook, lists-python, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 1.39 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Main aim was to determine which posts received more comments, points on average and an hour-wise analysis of the average number of comments, points.

Data source: [Hacker News Posts](https://www.kaggle.com/hacker-news/hacker-news-posts) via [Dataquest](https://www.dataquest.io/course/python-for-data-science-intermediate)