Explore pull requests data from GitHub repository and try to get some insights using R.

Some of the questions I was pondering about:

• What's my cycle time? - How long it takes to the merge a pull request into master (start_date is the date of first commit)
• Number of pull request per contributor
• Mean/Median number of commits per PR
• Mean/Median number of commits per contributor
• Mean/Median number of comments per PR
• Mean/Median number of comments per contributor
• Number of changed files per PR
• Number of changed files per contributor
• Pull requests trend over a period of time
• ...

You need to set up .netrc file in your home directory:

machine api.github.com
  login ....
  password ....

and then:

  bundle install
  bundle exec import.rb "user/repo_name"

Depending on the amount of pull requests in the repository, it might take some time.

It might happen that your rate limit will exceed, in that case script will wait 1 hour, and resume the import.

All requests are cached, so even if we the script is started again it won't re-use the rate limit for already cached PRs.

(If you willing to add a new field to CSV, you just need to modify PullRequestRecord::ATTRIBUTES)

To install rstudio and r on Mac:

  brew tap homebrew/science
  brew install r
  # install brew cask
  brew cask install rstudio

...