101 Data Visualization and Analytics Projects (Paperback)

I have read a lot of books on this subject and this is the clearest.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The author clearly knows the subject deeply and has thought hard about how to teach it. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. An easy five stars from me. I look forward to whatever the author writes next.

Recommended, with the caveat that it is not a gentle introduction.

I have been working with introductory & beginning for a few years now and I still found plenty here that was new to me. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Recommended, with the caveat that it is not a gentle introduction.

Worth every page. I have already recommended it to two colleagues.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. I particularly liked the way the author builds up from simple cases before introducing the harder material. The index and cross-references are surprisingly good, which matters for a book I will come back to. The book rewards careful reading. Skimming it would be a mistake. An easy five stars from me. I look forward to whatever the author writes next.