Data Visualization: A Practical Introduction
By Kieran Healy · Princeton University Press · 2018
Study guide: Exam PA
A hands-on primer that teaches the principles and practice of data visualization. Princeton University Press says it covers what makes some graphs succeed and others fail, how to make reproducible, high-quality figures in R using ggplot2, and how to visualize data honestly. Worked examples build from summaries of single variables to more complex graphics, including small multiples, layered information, maps and output from statistical models, using the tidyverse tools and a library of datasets, code and functions.
On the syllabus
- Exam PA — Chapters 1-4. The syllabus notes that this book may be available as web pages at socviz.co, that the web version can be viewed only on the web with no PDF to download, and that the author has indicated the web version may at some point be discontinued.
1 Look at Data
2 Get Started
3 Make a Plot
4 Show the Right Numbers
5 Graph Tables, Add Labels, Make Notes
6 Work with Models
7 Draw Maps
8 Refine Your Plots
Acknowledgments
Appendix
References
Index
Sources
- Data Visualization: A Practical Introduction (Princeton University Press) — the publisher's page: the description, the eight chapters and back matter listed above, publication date 18 December 2018 (copyright 2019), ISBN 9780691181622 and 296 pages
- Data Visualization: A Practical Introduction, second edition (socviz.co) — the author's website, which now carries a complete draft of the forthcoming second edition rather than the 2018 text; it confirms the chapter titles but nothing on this page is taken from it beyond them
- SOA Exam PA syllabus, October 2026 — the citation (Healy, 2018, Princeton University Press, ISBN 978-0-691-18162-2) and the chapters assigned