Data visualization, reporting, and processing with R and the tidyverse

About

This website contains exercises, solutions, and slides for the two-day workshop. The website and the associated resources will remain available after the workshop.

Resources

• This page: https://bit.ly/2JNxLov
  • Long URL: https://krlmlr.github.io/vistransrep/2019-04-zhr
• rstudio.cloud server: https://rstudio.cloud/project/271256
  • Sign up, or log in with Google or GitHub
  • Click the “Save a private copy” link next to the TEMPORARY label in red in the header
  • All necessary packages are preinstalled

• Main menu in header of this website

• GitHub repository: https://github.com/krlmlr/vistransrep-proj/tree/2019-04-zhr
  • Live code: https://github.com/krlmlr/vistransrep-proj/tree/2019-04-zhr/live

• Main reference: R for data science (r4ds) by Garrett Grolemund and Hadley Wickham

Last updated: 2019-04-01 14:35:00