- Paperback: 160 pages
- Publisher: W. W. Norton & Company; 1 edition (December 16, 2013)
- Language: English
- ISBN-10: 0393347281
- ISBN-13: 978-0393347289
- Product Dimensions: 7.1 x 0.5 x 9.3 inches
- Shipping Weight: 10.6 ounces (View shipping rates and policies)
- Average Customer Review: 95 customer reviews
- Amazon Best Sellers Rank: #15,725 in Books (See Top 100 in Books)
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The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures Paperback – December 16, 2013
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“An essential reference for anyone who needs to effectively convey quantitative information using graphs. Everyone will learn something from reading this book.”
- Joseph Tracy, executive vice president and director of research, Federal Reserve Bank of New York
“Dona Wong’s outstanding new book artfully blends lessons on data analysis and graphic design. She shows us how to make our complex, confusing graphs and presentations both simple and powerful.”
- Peter Tufano, Coleman Professor of Financial Management, Harvard Business School
“Dona Wong’s professional advice advances the art of information graphics.”
- Gene Zelazny, director of visual communications, McKinsey & Company
“We live in an increasingly data-driven world, and Dona Wong does a masterful job of explaining how to make data come alive and tell the truth in an engaging way.”
- Mark Zandi, chief economist, Moody’s Economy.com
About the Author
Dona Wong began her career in visual journalism at The New York Times, became the graphics director for The Wall Street Journal in 2001, and was previously the strategy director for information design at the global consulting firm Siegel+Gale. Today she is Vice President, Digital and Multimedia Communications, at the Federal Reserve Bank of New York. Wong holds an MFA from Yale University and lives in New York City. The views expressed here are her own and do not necessarily represent those of the Federal Reserve Bank of New York.
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the book is presented in a succinct and easy to understand manner, no clutter what so ever.
just do yourself a favor and buy it!
The first chapter covers basic issues like how many colors, what colors, how many lines, etc.. The second, which is the bulk of the book, contrasts effective and poor graphics on side by side pages. There is concise useful advice on truncating ranges, breaking axes, using broken bar graphs, how many pie pieces, etc. The advice is beyond simple do or do not break a bar, it discusses how much of a discrepancy in the height of a bar chart merits a break. While other books have advice that ends with "do or do not use some graphics" (like pie charts), this one has great advice on when it makes sense to do things like break graphics into sets of pictures, use broken bars in bar charts, how and when to set scales (so that graphics afford meaningful comparisons) and how to make the best use of pie charts. There is a short section on descriptive statistics, when to use means, medians, plotting percentages vs actual changes, etc. and there is a surprisingly nice section on the algebra for setting axes which I have never seen written up. The final two chapters deal with specialize topics like plotting financial matters or plotting time series and relations among groups.
The only real down side is there is no discussion of what tools to use to make the graphics or how the graphics in this book were rendered. Despite this, the book is superb because it covers the material in adequate detail and it gives insights that are either not covered at all or are scattered across many sources.
Great book for the basics and basic mistakes when showing data clearly. It's a MUST pre-requisite for people that are going to show data dynamically. Very persuasive.
Instead, this is one of the most pragmatic and useful primers for creating clear and accessible data visualisations – and far more concise than say Stephen Few or Edward Tufte.