Appendix C — Further resources

C.1 Companion tutorials

• Data Visualisation Using R, for Researchers Who Don’t Use R. Nordmann, McAleer, Toivo, Paterson & DeBruine (2022). The published article that accompanies this is at https://doi.org/10.1177/25152459221074654.
• Applied Data Skills. Nordmann & DeBruine (2025). A 10-week course covering Quarto reports, data visualisation, summaries, joins, tidying and wrangling.

C.2 Reference

• The ggplot2 cheat sheet is the single most useful one-page summary.
• The ggplot2 reference site has the canonical documentation for every function with worked examples.
• The dplyr cheat sheet and tidyr cheat sheet cover wrangling and reshaping.
• The R Graph Gallery is a searchable collection of nearly every chart type, with code.

C.3 Books

• R for Data Science (Wickham, Çetinkaya-Rundel & Grolemund). Free online. The standard introduction to tidyverse for data analysis.
• ggplot2: Elegant Graphics for Data Analysis (Wickham et al.). Free online. The definitive ggplot2 book.
• Fundamentals of Data Visualization (Wilke). Free online. Principles rather than code; pairs well with the others.

C.4 Quarto

• Quarto.org is the home of the format used by this book.
• The Quarto guide for books covers building multi-chapter projects like this one.
• ads-v3 chapter 2 is a gentle introduction to writing Quarto reports.

C.5 Data sources

• Slave Voyages. The Trans-Atlantic and Intra-American Slave Trade Databases. Includes documentation, maps and an estimates interface.