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1. Excellent book
   This was a textbook for one of my data visualization classes for my Master’s degree. It is one of two books I have enjoyed reading. It was helpful for my class and has been helpful in my work as a data analyst. I recommend checking out Cole Nussbaumer Knaflic’s blog, Storytelling With Data, as well. It will give you a nice idea of what the book is about.

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2. Mandatory Reference
   Very practical and straightforward guidance for data visualization. The book is fantastic . All that makes it a mandatory reference on storytelling

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3. Praise but a bit of pushback
   There is some good stuff in here.I like Knaflic’s focus on intentionality. For her, the defaults are something that should be avoided, or at least justified.I like how she looks at the presentation of graphic information as a story arc. There is one thing that you want to focus on to create actionable decisions. This is best, as she describes, if you are presenting. There are limitations if you have a static document that has information for multiple stakeholders.The book is accessibly written with a clean font and plenty of examples.However, I do have to push back a bit. She follows Tufte in trying to eliminate data ink. Part of the intentionality is that you have less and less information on the page and every thing you includes helps tell your story. For me though that leads to a sameness. You want your audience to not have to think so hard. You want to make sure they don’t have their eyes glaze over. But that means that everything is very simple with a muted palette. The author notes that some of these are just her preference, but the mode of thinking has become influential. Part of me wants my audience to do some work in understanding the text I put in front of them. It means a level of engagement that I worry a too-simple graph leaves out.

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4. Will teach you to make concise, impactful charts
   This is probably the best book on creating data visualizations I’ve come across to date.Amazing attention to detail: not a tick mark is out of place. The author doesn’t just copy and paste visualizations from other sources (unless used to illustrate common mistakes). Instead she carefully constructs each example putting thought into every bit of ink on the page. As a result, the charts are concise and get to the point without distracting you with details that don’t add information or emphasis. This book helps you understand what’s important in data visualization and helps you highlight the important thing in all the charts you create.Some examples of skills this book taught me:- how to use muted colors combined with a few highlights to drastically improve the storytelling aspect of a chart- add less: unnecessary grid lines, markers, et cetera, can detract from a chart’s storynits: I like pie charts. I think they make intuitive sense and I even think the pie chart on page 5 would be fine if the author applied the color scheme in the bar chart below that to the pie chart. I agree that 3D pie charts are bad, but 2D pie charts are OK in my book.I really liked the before and after charts on pages 4 – 6. Would have loved another appendix with a dozen more of these for future fast reference.

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5. Fantastic writing on how to build sets of images
   I am a university professor who teaches biostatistics and I find this to be one of the best books that bridges the gap between analytics and presentation. There are some excellent books around that show visualization (e.g., The Wall Street Journal Guide to Information Graphics: The Dos and Don’ts of Presenting Data, Facts, and Figures or books by Few Information Dashboard Design: Displaying Data for At-a-Glance Monitoring & Show Me the Numbers: Designing Tables and Graphs to Enlighten or Cairo The Truthful Art: Data, Charts, and Maps for Communication) and there are good books on presentation (in particular I love Duarte’s books Resonate: Present Visual Stories that Transform Audiences) but this book is unique in how well it blends the two topics. I have never seen such an excellent presentation on how to build a series of graphics. That is, with books by Few or Cairo you will know how to make *a* great graphic and with advice from Duarte, you can connect with your audience but with this book you will see how to build a series of interrelated graphics that highlight different parts of a dataset. Most of the examples are spun around business but the examples are easy to extend to any field.While I think the author wrote this for people who do presentations in any quantitative field for a living, this book should be required reading for graduate students preparing to defend a dissertation or thesis.

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6. Buen libro, algo corto se va rápido la lectura.buenos ejemplos. Si lo recomiendo.

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7. Must read for everyone in data world

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8. None of this is rocket science but sometimes you just need a book written by an author that makes it so easy to follow and understand. Great guidance and powerful, clear examples. I’ve been passing this round my colleagues to help the, up there game a bit too.

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9. This book was recommended by my company learning platform and is clearly leveraged heavily.It will immediately bring your data storytelling to a solid level and I’d wager, for most people, this will be all they ever need.Not too in-depth, but it also does not try to be.5/5: would buy, read, and recommend again

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10. best I’ve read on this topic. With concrete examples, comparisons & explanations of why certain things work while others – don’t. I also bought the next 2 books from the author o the same subject before I even finished this book which I never do. Highly recommended to both UX/UI designers but also to anyone who works with them (hello Product Managers) and by extension – anyone who ever has to give a presentation & wants to get their message across effectively.

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