17 Oct '13, 2pm

Analyzing GitHub Trends

Analyzing GitHub Trends

joannethoughtbot October 17, 2013 github data It seems like language popularity is constantly fluctuating in the tech world. I tried to prove this by visualizing GitHub pushes and looking for trends. The GitHub Archive is a project that records forks, watches, pushes, pulls, and various other events on public GitHub repositories and archives it for public use. With this data, we can look at the programming community’s history and trends. The GitHub Archive only has push data since March 2012, so I only looked for trends during the past 18 months. I first queried daily PushEvent counts on GitHub Archive’s Google BigQuery Database *. SELECT STRFTIME_UTC_USEC(TIMESTAMP(repository_pushed_at), "%Y-%m-%d") as days, repository_language, count(repository_language) as lang_count FROM [githubarchive:github.timeline] WHERE type="PushEvent" AND PARSE_UTC_USEC(created_at) >= PARSE_UTC_...

Full article: http://robots.thoughtbot.com/post/64295204032/analyzing-g...

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