/exploring-hacker-news-posts

An analysis of Hacker news posts, which posts are most active and most active times of the day for online users.

Primary LanguageJupyter Notebook

exploring-hacker-news-posts

Requirements:

  • Standard Python modules and Libraries (csv and datetime)

This is a data analysis project which gives insights on which hacker news posts receives the most comments. The analysis gives an emphasis on the Ask HN and Show HN posts. The analysis also provides insight on which times of the day has the most online activity, in this analysis we use average comments per post on each time of the day.

The analysis may also give a glimpse on the times of the day where online users are the most active.