Core Resources

The purpose of this post is to collect “core” resources, meaning those articles/books which are of the highest quality and which I personally rely on. They are:


R for Data Science by Garrett Grolemund and Hadley Wickham
Data Visualization: A practical introduction by Kieran Healy
Happy Git and GitHub for the useR by Jenny Bryan
What They Forgot to Teach You About R by Jennifer Bryan and Jim Hester
R Graphics Cookbook, 2nd edition by Winston Chang


Mastering Shiny by Hadley Wickham
ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham
The Unix Workbench by Sean Kross
R Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, Garrett Grolemund
Pro Git by Scott Chacon and Ben Straub

David Kane
Data Scientist
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