Data visualization II

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, 2.5–2.9
• Robert Kosara, “Understanding Pie Charts,” EagerEyes, January 12, 2010, https://eagereyes.org/blog/2010/pie-charts
• Nick Desbarats, “I’ve Stopped Using Box Plots. Should You?” Nightingale, November 4, 2021, https://nightingaledvs.com/ive-stopped-using-box-plots-should-you/
• Stephen Few, Dual-Scaled Axes in Graphs: Are They Ever the Best Solution?, Visual Business Intelligence Newsletter (Perceptual Edge, 2008), https://www.perceptualedge.com/articles/visual_business_intelligence/dual-scaled_axes.pdf

Slides

Materials for class today

• In-class intro to R .zip file (this is the same project we did last time—you don’t need to redownload it if you already have it on your computer)
• Posit.cloud project (only if you’re using an iPad! Join the workspace here first)