101 Data Visualization and Analytics Projects (Paperback)

Good in places. I would borrow it before buying if you can.

I had been on the fence about this one for a while, and I should have bought it sooner. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The explanations are careful without being condescending, which is a difficult balance to strike. The progression from chapter to chapter is well thought out; nothing feels out of order. Useful as a reference, less so as a straight read from cover to cover.

Strong content, uneven pacing. I would still recommend it.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. There is a section near the end that ties several earlier ideas together in a way I had not seen before. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Four stars, and I suspect a second edition could easily push it to five.

A superb guide. The examples are small but complete.

This is the third book I have read on introductory & beginning this year, and it is comfortably the best of them. The chapters on introductory & beginning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. The author clearly knows the subject deeply and has thought hard about how to teach it. I particularly liked the way the author builds up from simple cases before introducing the harder material. Worth the money and the reading time, without hesitation.