Summary
If I was to start a course on data visualisation, this book would be one of the readings that I would assign to my learners. This book covered the basics of making good charts from understanding to presenting and from creating to refining them. However, "good charts" in the context of this book does not mean data viz that are complex or unconventional. Much of the book focuses on every dataviz that managers will use for presentations at work. Kicking off with a history of data visualisation, the book walks readers into the world of creating good charts almost like a checklist.
Things I like
1. The book offers a balanced view. The book does not dictate readers to use certain versions of charts outright, but it respects readers' agency and understands the different situations at the hands of readers. To add, it provides step-by-step instructions to readers on how to better their charts.
2. The summary at the end of each chapter is good as a quick refresher. With easy to understand summary, readers know what to take away from each chapter. The summaries not only provide a condensed version of the chapters but also reinforce the content that readers shall have when they produce their next charts, i.e. a checklist or sort.
Final Verdict: A primer to making good charts.