Table of Contents
Chapter 1 — Telling Stories with Data
Chapter 2 — Handling Data
Chapter 3 — Choosing Tools to Visualize Data
Chapter 4 — Visualizing Patterns over Time
Chapter 5 — Visualizing Proportions
Chapter 6 — Visualizing Relationships
Chapter 7 — Spotting Differences
Chapter 8 — Visualizing Spatial Relationships
Chapter 9 — Designing with a Purpose
There are lots of books on visualization that describe best practices and design concepts, but what do you do when it comes time for you to actually make something?
If you don’t know how to use the software in front of you, the abstract isn’t all that useful. And with growing amounts of data, it’s becoming more important to be able to make sense of and communicate with it all.
Yau draws from his experience as a graduate student in statistics and his work with major news organizations for an engaging, data-first approach. After all, visualization is about the data it’s based on.
Chapters group examples and tutorials by data type and take you through the process of data exploration and analysis, to visuals, and finally, to a graphic that is fit for publication for print and online.
Read the book cover-to-cover, or keep it on your desk as a reference for your data projects. Pages are in full color with tons of graphics to inspire and to help you learn visually.