Data wrangling I
Readings
- Chester Ismay, Albert Y. Kim, and Arturo Valdivia, Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, 2nd ed. (Chapman and Hall/CRC, 2025), https://doi.org/10.1201/9781032724546, 3.1–3.4
- “Working with tibbles” interactive primer, https://r-primers.andrewheiss.com/transform-data/01-tibbles/
- Andrew Heiss, “Visualizing {dplyr}’s mutate(), summarize(), group_by(), and ungroup() with Animations,” April 4, 2024, https://doi.org/10.59350/d2sz4-w4e25
- Recommended: “Data transformation” in Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund, R for Data Science, 2nd ed. (O’Reilly Media, 2023)
Slides
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Materials for class today
- Data wrangling
.zipproject - Posit.cloud project (only if you’re using an iPad!)