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Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations

2017-09-16 
Datavizthe new language of businessA good visualization can communicate the nature and potential imp
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Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations 去商家看看

Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations

Dataviz—the new language of business

A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication.

For a long time “dataviz” was left to specialists—data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could.

What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success.

In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping.

This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice.

Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

媒体推荐

“This is an elegant volume illustrated with appealing graphic images that, taken together with the text, provide a user's manual to ‘dataviz.’ Good Charts provides an antidote for “death by PowerPoint,” but it also makes a powerful argument for the systematic use, study, and application of these new, technology-driven, visual forms of communication…comprehensive and attractive introduction to the subject. Berinato perhaps understates this accomplishment with the rather quaint title of the text. He’s accomplished much more than that!” — CHOICE, the publication of the American Library Association

“…it may just be the design book of the year.” — CO.DESIGN (Fast Company)

“It isn’t often that a book comes out and I say “I wish I’d written that book.” But if I could have double-clicked on the data section of slide:ology and had a book pop out, Good Charts would be the book!” — Nancy Duarte, LinkedIn Pulse

“Berinato takes dataviz back to the basics by providing information about how we see...Berinato shows hundreds of visual examples that help chart creators focus on the information they need to include and how to effectively present it.” — Hartford Business Journal

ADVANCE PRAISE for Good Charts:

Tim Brown, President and CEO, IDEO; author, Change by Design
“If you wish to be fluent in the modern world of data, then visualization is an essential language to be learned. Good Charts offers an in-depth approach to using that language to communicate clearly and effectively.”

Alex “Sandy” Pentland, cocreator, MIT Media Lab; author, Social Physics
“Data visualization isn’t a secret art, but a skill you can learn. In Good Charts, Scott Berinato demonstrates this, impressively distilling the history and mechanics of dataviz into a clear and powerful argument about the importance of understanding and making good charts in your own work. A must-have manual in today's workplace.”

Jack Parmer, CEO, Plotly—
“Static and busy Excel charts are a nonstarter in today's workforce. In this enlightening yet deeply practical book, Scott Berinato highlights the growing importance of data visualization literacy for a new generation of business intelligence. Written in an accessible style, Good Charts reveals new insights and best practices that will improve your understanding of visual data and help you create better charts yourself.”

Leland Wilkinson, Vice President, Statistics, Tableau Software—
“Berinato is not afraid to confront myths and conventional wisdom peddled by some popular visualization gurus. At the same time, he provides needed history and introduces us to some of the best thinkers in the field. Most important, he gives us clear guidelines for producing effective displays. This eloquent book should be the entry point for anyone wanting to learn about data visualization.”

Steve J. Martin, coauthor, Yes! 50 Scientifically Proven Ways to Be Persuasive
“In today’s information-overloaded, disruptive, and culturally diverse world, the new language of business and commerce is visual. In this smart, timely, and exceptionally lucid book, Scott Berinato shows how to create meaningful and persuasive visuals that cut through the noise and connect with your target audience. An essential guide no matter what business you’re in.”

网友对Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations的评论

The best I've seen yet. This wide-ranging book, in addition to what most other books cover, adds two nifty frameworks that, between them capture the essence of what took me years of experience to master, Firstly, while most other books focus on design execution, Berinato adds the dimension of contextual awareness as an essential element of a good chart, and devotes considerable space to elaborating how to create contextually aware charts. Secondly,his "Four types" framework covers both data driven and conceptual charts, which are not usually treated as related. It also makes a clear distinction between exploratory and explanatory charts, emphasizing how their requirements differ, a distinction which usually goes unappreciated. Hence it unifies, expands and at the same time differentiates the topic of charts in a remarkably useful way.

"Good Charts" has the clarity of thinking that makes it points clearly and simply, without clutter and without oversimplifying - the signature of a master. Highly recommended.

Years ago in a development program I was asked to draw something that "represented me." Drawing upon all of my visual, artistic and creative skills ... I drew a single vertical line down the center of the flip chart page. If you can relate, then this book is for you. To be clear, this is not a beginner's guide, per se; many of the example visualizations in the book are quite sophisticated, although the author's use of them to illustrate design points are easy to understand and implement. The beauty of this book is in the author's immensely readable writing style, the system of thinking visually to build better charts that he lays out in the book, and the use of many (many!) examples to make his points. On p. 12 the author states "I hope this book will become a well-worn, dog-eared companion." After just a few weeks my copy is already in that state.

I really enjoyed reading Good Charts. Although the book covers a lot more, I really enjoyed how it included examples of how to use data visualization to tell a persuasive story, examples of how companies are using it in an impactful way and what makes a "good" data visualization.

I would highly recommend this book for designers, marketers and MBA students who are hoping to learn how to better incorporate data visualization into their everyday lives in a meaningful way.

This is a fascinating book full of practical ideas you can start using right away to improve your charts; I love all the examples provided. It clearly explains the importance of thinking about the message you want to communicate before trying to select the type of chart you'll need.

This was our Analyst Community's Q3 Book Club selection, and it was a huge hit! We're even carrying the conversation into Q4 to focus on a few more of the chapters, and developing monthly 1-hour workshops so folks can practice the techniques. It's well written and contains excellent suggestions on how to effectively visualize data.

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