Welcome to the tidyverse

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?

Slides

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