- Paperback: 224 pages
- Publisher: O'Reilly Media; 1 edition (January 1, 2006)
- Language: English
- ISBN-10: 0596100167
- ISBN-13: 978-0596100162
- Product Dimensions: 8.5 x 0.6 x 10 inches
- Shipping Weight: 1.9 pounds
- Average Customer Review: 105 customer reviews
- Amazon Best Sellers Rank: #226,767 in Books (See Top 100 in Books)
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Information Dashboard Design: The Effective Visual Communication of Data 1st Edition
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About the Author
Stephen Few is the author of Show Me the Numbers: Designing Tables and Graphs to Enlighten (2004), Information Dashboard Design: The Effective Visual Communication of Data (2006), and Now You See It: Simple Visualization Techniques for Quantitative Analysis (2009). Stephen is recognized as a world leader in the field of data visualization and he has worked for more than 25 years as an information technology innovator, educator, and consultant. As the principal of the consultancy Perceptual Edge, he focuses on practical uses of data visualization to explore, analyze, and present quantitative information. He also teaches in the MBA program at the University of California, Berkeley.
Top customer reviews
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If you have read Few's other work, Show Me The Numbers, then you will notice plenty of overlap in content (I actually prefer that book over this one). Therefore, you wont glean much new information from this work. Overall, I love the detail Few puts into this book since I am intrigued with Data Visualization. It's always good to hear from the experts in the field.
I recommend this for anyone interested in data visualization, dashboards, or design. This book is worth it!
In about 200 pages this book covers every aspect of usable and informative dashboard design. Because of its brevity and readability it's a great recommendation for your manager also!
Before starting any work on a dashboard read this book to learn about: 13 common dashboard mistakes; learning the limits of short-term memory; dashboard usability; and other essential aspects of dashboard design.
This book is worth buying for the four sample dashboard designs at the end of it. I can't recommend it highly enough.
Most of the book focuses on the visual aspects of info presentation with some useful forays into areas such as proper requirements/measurements gathering and different user types. Little of the book is on the "back-end" or deep business needs/uses of informational dashboards.
I think the book is well written, wise, and should be required reading for any developer who finds themselves working on an information dashboard or other data presentation project. Readers looking for more business case background or data-wrestling info will need other books but should consider reading this one to make sure all their hardwork doesn't result in a turd of a final presentation/project deliverable.
Remove waste and focus on important stuff. The author does present good concepts, however I feel it could have been better.
If you are an excel/ report monkey like myself :) This book could be valuable to you. I need to churn you daily, weekly and monthly reports and this would help to present to stakeholders and management who tend to have very little time. Presenting the crux of the issue is always important.
At the end of the day, you still need to invest a lot of time, figuring out what is important, kinda like sitting down to think of your cv.
Stephen Few provides a great overview of dashboard design in this book. Chapter three is particularly good. In it, he lists thirteen common mistakes of dashboard design. Business intelligence software vendors and consultants should definitely read this. Like Edward Tufte before him, Few promotes elegant simplicity as a design goal for visual interfaces. He goes deeper than Tufte, however, and provides many more specific examples.
This book, however, would've been excellent if for one significant literary flaw -- and that is the manner by which Stephen Few kinda whines through the whole book. While I appreciate the method by which ineffective dashboard designs are illustrated to give the reader an idea of how common flawed dashboard designs are, a good chunk of chapter 1, the whole of chapter 3, a few bits of chapters 5 and 7, and just when I thought it was over -- the first half of chapter 8, had been used illustrating bad dashboard design and why things went wrong.
While I do appreciate that there is a concerted effort here in terms of education via repetition, you do get that feeling that the book is also quite repetitive ugly dashboard design.
That being said it remains to be an excellent book, and is an invaluable resource for the study of effective data visualization and communication.