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The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures |  |
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The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures | |
The definitive guide to the graphic presentation of information.
In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn: to choose the best chart that fits your data;the most effective way to communicate with decision makers when you have five minutes of their time;how to chart currency fluctuations that affect global business;how to use color effectively;how to make a graphic “colorful” even if only black and white are available.The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.
2-color; 500+ illustrations, 16 pages of color 媒体推荐“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)
“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)
“Dona Wong’s professional advice advances the art of information graphics.” (Gene Zelazny, director of visual communications, McKinsey & Company)
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.
网友对The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures的评论
如果认同WSJ的图表，这本书没错！
字体，字间距，坐标轴，配色等等，把图表分解到最小单元。
另，这本书会告诉你WSJ的图表应该做成什么样，但是不会告诉如何去实现每一个效果。可以考虑配合刘万祥老师的图表之道。那本书是针对WJS这类图表讲“How”的。
不是我买的，不过这也太贵了。能多好啊！不过既然有人买还是说明有市场，有需求。但是应该不能报销的人不会买这书
This short easy read is a beautiful introduction to how to make professional graphics. Because the WSJ is featured in the title, I was a bit nervous that the entire book would be focused on visualizing financial data but it has great advice for anyone who needs to visualize numeric data. I really enjoyed it because there is unique advice that adds to other practical books on visualization like Creating More Effective Graphs, and it nicely complements or leads into classics like The Visual Display of Quantitative Information, 2nd edition or Visualizing Data.
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.
There is a huge difference between someone who is great at working with data versus someone who is great with working at data who ALSO has the ability to concisely communicate their findings to the end user. Before I bought this book I thought that I was pretty good at making deliverables look nice and clean. Then I bought this book and realized that while I had a few good habits, most of my practices add no value and really just were likely distracting whoever was reviewing my charts/graphs/etc. I can't say enough good things about the book, highly recommended.
Excellent introduction to conveying information in concise, easy to understand graphics and pictures. This book is written concisely almost like a style guide for anyone who wants to learn these effective tools for presenting data. This book is highly useful and very practical as both an introduction to the proper ways to present data and also as a reference guide for anyone that would like to add graphic representations of information to their work. The charts, graphs, and timelines shown in this book are both elegant and direct for readers to fully comprehend the way infographics impact our understanding of otherwise complicated data and add to a reader's experience in a beneficial way.
For what it is, I enjoyed this book.
It's straight to the point, full of solid information, and is designed to reflect what it preaches.
I'm assuming that if you've been working with graphics and figures and tables for awhile, much of this won't be new. But for those like me, who have a basic understanding of why some things work and some things don't, this deepened my knowledge and gave me concrete items to list when something simply felt "off."
Again, this probably isn't for graphic designers or those who've been dealing with such figure making for years, but for any novice and / or those of us who deal with this content enough to need to understand them on a deeper-than-surface level, this is a perfect book to read and reference.
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