101 Data Visualization and Analytics Projects (Paperback)

Outstanding. I kept finding reasons to come back to it.

I have been working with introductory & beginning for a few years now and I still found plenty here that was new to me. The code samples assume a particular environment, which took a bit of fiddling to get running properly. It is denser than the page count suggests, and I found myself slowing down around the middle. One of those books that pays for itself within the first few chapters. Highly recommended.

Better than I expected. Rare to find a technical book this well judged.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. Some of the material is available elsewhere, but rarely presented this clearly. The author clearly knows the subject deeply and has thought hard about how to teach it. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. One of those books that pays for itself within the first few chapters. Highly recommended.

A worthwhile addition to my shelf, with realistic expectations.

I have been working with introductory & beginning for a few years now and I still found plenty here that was new to me. The balance between theory and practice is well judged; neither side dominates. The index and cross-references are surprisingly good, which matters for a book I will come back to. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Four stars, and I suspect a second edition could easily push it to five.