Data Science Best Practices

Resources

• Project setup and workflows:
  • https://rstats.wtf/project-oriented-workflow.html
  • https://mdneuzerling.com/post/data-science-workflows/
  • https://rstudio-ide-tips.netlify.app
  • https://rmd4sci.njtierney.com/workflow.html
• Naming files: https://speakerdeck.com/jennybc/how-to-name-files
• Saving files: https://rstats.wtf/save-source.html
• Working with Paths:
  • https://rstats.wtf/safe-paths.html
  • https://malco.io/2018/11/05/why-should-i-use-the-here-package-when-i-m-already-using-projects/
  • https://github.com/r-lib/here
• Environment setup: https://rstudio.github.io/renv/articles/renv.html
• Version Control with Git:
  • https://happygitwithr.com/
  • https://speakerdeck.com/jennybc/zen-and-the-art-of-workflow-maintenance?slide=64
  • https://peerj.com/preprints/3159/
• GUI (GitHub Desktop and RStudio) versus CLI (terminal)

Requirements

Session 1: RStudio

• RStudio: https://rstudio.com/products/rstudio/download/#download
• R: https://cloud.r-project.org/
• An extra monitor (one for WebEx, the other for RStudio)

Session 2: GitHub

• A GitHub account: https://github.com/join

• GitHub Desktop: https://desktop.github.com/

• Platform (OS) specific setup

• Windows software development tools:

  • Git for Windows: https://gitforwindows.org/
  • Rtools: http://cran.r-project.org/bin/windows/Rtools/

• MacOS software development tools:

  • Xcode Command Line Tools: https://rstats.wtf/set-up-an-r-dev-environment.html#macos-system-prep

• Linux

  • No setup required

Session 2 Attendance

• Martin
• Ian
• Andrew