Readings

Skim chapter 2: Workflow: basics of R for Data Science (2e)
Skim chapter 3: Data transformation of R for Data Science (2e)
Revisit chapter 28: Quarto of R for Data Science (2e) as needed

Optional readings

Chapter 4: Workflow: code style of R for Data Science (2e)
Chapter 6: Workflow: scripts and projects of R for Data Science (2e)
Hands-On Programming with R, by Garrett Grolemund, is a more detailed introduction to the nuts and bolts of programming in R
FiveThirtyEight: The Economic Guide To Picking A College Major

Guiding questions

What do the key verbs of dplyr do?
What class of objects do dplyr verbs operate on?
How can you use dplyr to summarize data by group?
What are pipes and what are they used for?