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: 5 months 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 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-06T07:36:50.000Z (almost 7 years ago)
- Last Synced: 2025-02-27T05:51:48.191Z (10 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
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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)