Tutorial on integrating Git and Github into your data analysis workflow

We will rely heavily on materials developed by others:

• Leon Eyrich Jessen's diagram on program organization: [https://twitter.com/jessenleon/status/964236119658418176]
• Git for humans slide deck: [https://speakerdeck.com/alicebartlett/git-for-humans]
• Happy Git and GitHub for the useR: [http://happygitwithr.com/]
• Jenny Bryan’s workshop from RStudio::conf 2017: https://www.rstudio.com/resources/videos/happy-git-and-gihub-for-the-user-tutorial/]
  • This link is broken and I am not sure where this is posted anymore!
• Good Enough Practices in Scientific Computing: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510

The file Good Enough Git and GitHub Workflow describes how to use Git + GitHub in your day-to-day analysis life.

This post about workflow is also very useful: https://andrewbtran.github.io/NICAR/2018/workflow/docs/01-workflow_intro.html?utm_content=buffer858fd&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer