Data Points: Visualization That Means Something 1st Edition

by Nathan Yau (Author)

33 customer reviews

ISBN-13: 978-1118462195

ISBN-10: 111846219X

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A fresh look at visualization from the author of Visualize This

Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data.

Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers
Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table
Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more
Examines standard rules across all visualization applications, then explores when and where you can break those rules

Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

Data Points: Visualization That Means Something

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Editorial Reviews

Review

A detailed handbook, Data Points is espe-cially useful for those working on scientific data visualization, guiding the reader through fascinat-ing examples of data, graph-ics, context, presentation and analytics. But this is more than a mere how-to manual. Yau reminds us that the real purpose of most visualiza-tion work is to communicate data to pragmatic ends. (Nature, May 2013) Ultimately, I would recommend this book for anyone interested in the process of design and analysis. It is about making sense of data and that is becoming a crucial skill in this digital age. (Madia Information & Technology Journal, August 2013) Data Points opens an exciting view of information blending data analysis, visual interaction, and digital storytelling the visuals are stunning. (Managing Information, October 2013)

From the Back Cover

Reveal the story your data has to tell

To create effective data visualizations, you must be part statistician, part designer, and part storyteller. In his bestselling book Visualize This, Nathan Yau introduced you to the tools and programming techniques for visualization. Now, in Data Points, he explores the thinking process that helps you create original, meaningful visualizations that your audience will both understand and remember. Here's how to make your data mean something.

Discover what data is and what you can learn from it
Learn how to explore your data, find the story, and bring it to life
Understand visualization as a medium that lets you present and express meaning in data
Tap into your creative side and determine the most effective way to tell your story
Compare tools for exploration and analysis
Allow data, the story, and your goals to dictate visualization techniques with geometry, traditional charts, maps, color, art, and even humor

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Product details

Paperback: 320 pages
Publisher: Wiley; 1 edition (April 15, 2013)
Language: English
ISBN-10: 111846219X
ISBN-13: 978-1118462195
Product Dimensions: 7.3 x 0.7 x 9 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review: 33 customer reviews
Amazon Best Sellers Rank: #48,499 in Books (See Top 100 in Books)
- #43 in Books > Computers & Technology > Software > Mathematical & Statistical
- #800 in Books > Textbooks > Computer Science

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Helpful Book

ByL. M. KeeferTOP 500 REVIEWERVINE VOICEon December 26, 2013

Format: PaperbackVerified Purchase

Bought this book for my son who requested it. He is a game designer and uses data to discern information about players. He also uses data to present ideas to clients and his boss, co-workers, etc. so wanted something with ideas on different ways to do that. Primarily, he uses data to make other people care about what he's found, and make the data easier to digest, he says.

He found helpful ideas in this book. The graphics are wonderful, quality of the book visually is excellent. The author has a PhD in statistics from UCLA and has a site at FlowingData. Some of the content in this book includes: *discover what data is and what you can learn from it *learn how to explore your data, find the story, and bring it to life *understand visualization that lets you present and express meaning in data *tap into your creative side and determine the most effective way to tell your story *compare tools for exploration and analysis *allow data, the story, and your goals to dictate visualization techniques with geometry, charts, maps, color, art and humor.

This book was helpful for his needs, and he is pleased with it.

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Some good ideas and examples

ByKeith Aspinallon July 11, 2013

Format: Kindle EditionVerified Purchase

I enjoyed reading this book overall - it has some very good basics of graphic treatment for data, and studying it would greatly improve the average quality of data display. I had one smallish concern and one larger one. The smaller is that the quality of the kindle ebook graphics were not adequate to read many of the best examples included, however, many were sourced well so I could go to the original works on the web. The bigger one is that this is too much a journeymans book, and misses the opportunity to apply and perhaps go beyond some of the truly inspiring and thoughtful aspects of Edward Tufte's earlier works. Given the avalanche of data we are creating (referred to in this book), it is quite disappointing on new creative ways to deal with their display.

A solidly useful work, hence three stars, but misses its full potential

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A great book for beginners and intermediate learners of Visualization

Bygnomicon May 2, 2013

Format: PaperbackVerified Purchase

This book is packed with information. It starts with the big picture of Visualization and plenty of examples, but quickly focuses on practical information showing what works, what doesn't, and why. I've read it once and am going through it again to pick up the information that I missed the first time. I've had the book for a month, and already 2 people have borrowed it from me and plan to buy a copy for themself.

I also have Yau's first book. This is a better book, both from writing technique and organization and content perspective. The first book had specific code examples, where this book focuses more on high-level concepts that can be applied to all graphics.

I would like to see a one-page tear-out "cheat sheet" summary of the recommendations in future editions.

Obviously recommended. -- also check out flowingdata.com if you want to see excerpts and style.

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Great book that discusses how to represent the data

ByLFon May 6, 2017

Format: Kindle EditionVerified Purchase

Unlike a lot of other books on infographics this book discusses the thinking behind creating successful infographics and data representation.

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Great Introduction to Data Visualization

ByJim R. Wilsonon February 18, 2014

Format: Kindle EditionVerified Purchase

This is the first book that I've read on data visualization, and I'm glad I did. It explains the basic principles involved in creating effective visualizations along with a number of helpful tips. The language is approachable and easy to follow. It reads like a guide, not a textbook.

Data Points enumerates fundamental visual cues like position, area, shape and color (hue); detailing when each is useful and for what purpose. It also discusses coordinate systems (Cartesian, radial and geographic) and when each is appropriate.

As a novice just entering this field, this book gave me the fundamental vocabulary necessary to think about data visualization and information design.

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Not Intended for Any Audience

ByEasy Writeron August 11, 2013

Format: PaperbackVerified Purchase

I really wanted to like this book. Nathan Yau is a casual, likable guy. The full-color images in this book are beautiful. Yau's blog is a treat to visit.

But who was this book written for? Not for data analysts, whose primary tools is graphs and tables. The vast majority of the examples in this book are strange visualizations that you can't create easily in Excel or PowerPoint: chloropleth maps, sankey diagrams, astronomical maps.

Not for data visualization students. The commentary and analysis of each piece is poor, more like rambling banter than any serious attempt to break things down into their core principles that can be applied to their practical work.

Not for artists of infographics, again because there are few core principles shared (in fact, Yau seems to be saying "there are no hard and fast rules!", perhaps to distance himself from dogmatic writers like Tufte and Few) and no graphic design tips and tricks that would help you emulate these beautiful graphics.

So who is the audience? It reads like a series of lengthy blog posts, with Yau yammering on about something only he cares about. I finished the book and my primary thought was "what did I just learn?" The unfortunate answer - nothing.

0Comment 7 people found this helpful. Was this review helpful to you?YesNo

Most recent customer reviews

A solid guide to better presentations with data

If you're just starting out in business, our new product manager or a fresh MBA, this is a really good guide for building effective presentations and for new ways to think about...Read more

Published 1 year ago by David S. Saunders

Five Stars

One of my favorite textbooks! And that's saying something!

Published 1 year ago by Ellen

Five Stars

Great book its an easy read and helps understand data visualization in a way anyone can relate.

Published 1 year ago by Ivan

It was good. Better than expectations

It was good.Better than expectations

Published 1 year ago by Ankit

Don't read it on Kindle

Published on August 12, 2015 by A M

Three Stars

Good concepts, poorly written.

Published on January 8, 2015 by Luis M. Serrano

Good graphics examples

It's not a novel, although the author is trying to spice the data he graphically describes very hard. Maybe too hard ?
Good graphics examples.

Published on October 20, 2014 by dan amazon sukiennik

Yau did a great job explaining in layman's terms the complexities of data ...

This was assigned text for a class.

Yau did a great job explaining in layman's terms the complexities of data visualizations.Read more

Published on August 5, 2014 by Parker Petty

Five Stars

it so interesting in our lives

Published on July 8, 2014 by pablo

A good overview, but has some flaws

This book is a good summary and overview of the current state of data visualization. However, it is not as good as many others books on the topic: Tufte is my pick for the best...Read more

Published on April 17, 2014 by Evan

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