- Paperback: 264 pages
- Publisher: SAGE Publications, Inc; 1 edition (May 18, 2016)
- Language: English
- ISBN-10: 1506303056
- ISBN-13: 978-1506303055
- Product Dimensions: 7.3 x 0.6 x 9.1 inches
- Shipping Weight: 15.5 ounces (View shipping rates and policies)
- Average Customer Review: 4.6 out of 5 stars See all reviews (31 customer reviews)
- Amazon Best Sellers Rank: #28,607 in Books (See Top 100 in Books)
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Effective Data Visualization: The Right Chart for the Right Data 1st Edition
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This text brings data visualization in to the twenty-first century. It is a definitive guide for students and practitioners in presenting data with clarity and lucidity.
Very approachable writing style, clear examples and instructions make this a “must-have” for anyone who has to present data. (Thomas Cappaert)
I love this book. It opened me up to so many possibilities that I didn’t know existed in Excel. The author really helps you build these skills though thoughtful exercises. She uses her real-world experience to open the “black-box” behind graphing techniques. I can’t wait to use these skills for my next batch of research projects. The competition at the professional conferences will be amazed by our ninja skills. (John O. Elliott)
This run-to-read and easy-to-use book can boost your visual presentation by making it right to the point! (Shun-Yung Kevin Wang)
Effective Data Visualization sets a new standard for the practical presentation data using Excel. It provides impressive graphics and hands on details on when and how to present them to various audiences. Any instructor who works with students seeking an advanced professional degree should consider adopting this text.(Brian Frederick)
This book is an excellent guide for creating innovative and intentional graphics that can frequently speak for themselves. Stephanie not only shows you how to create visually appealing charts and graphics, but she also explains why it matters.(Mindy Hightower King)
About the Author
Dr. Stephanie Evergreen is an internationally-recognized speaker, designer, and researcher. She is best known for bringing a research-based approach to helping researcher better communicate their work through more effective graphs, slides, and reports. She holds a PhD from Western Michigan University in interdisciplinary evaluation, which included a dissertation on the extent of graphic design use in written research reporting. Dr. Evergreen has trained researchers worldwide through keynote presentations and workshops, for clients including Time, Verizon, Head Start, American Institutes for Research, Rockefeller Foundation, Brookings Institute, and the United Nations. She is the 2015 recipient of the American Evaluation Association’s Guttentag award, given for notable accomplishments early in a career. Dr. Evergreen is co-editor and co-author of two issues of on data visualization. She writes a popular on data presentation at StephanieEvergreen.com. Her books Presenting Data Effectively, first edition, and Effective Data Visualization, both hit #1 on Amazon bestseller lists.
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Top Customer Reviews
What I like about this book is that it doesn’t assume you have data visualization knowledge apart from basic familiarity with Excel. That’s actually a plus for this book, as the author Stephanie Evergreen shows you how to make most of these charts IN EXCEL. I'm not always the biggest fan of Excel but it really is the first place most people start with data viz. So if we’re all going to start there, at least this book shows you how to make your Excel charts not suck. Even better, Evergreen tells you how difficult a chart will be to create in Excel by including a helpful Excel ninja rating.
The other thing that’s great about this book is that charts are organized by the type of data you want to present. Categories include: a single number, comparisons, beating a benchmark, survey results, parts of a whole, correlations, qualitative data, and data over time. Evergreen bases her selection of charts on research showing which chart types are more effective for information retention. It’s a different way to think about charts, but one that I’m finding really useful.
The range of covered charts includes the usual suspects, from bar charts to scatter plots, but Evergreen also details visuals that I haven’t used before. The ones I plan to immediately add to my graphing repertoire are: icon arrays, slopegraphs, dot plots, back-to-back bar charts, and small multiples graphs.
Beyond choosing the right chart and knowing how to make it in Excel (which, of themselves, are incredibly useful skills), this book gave me a framework for creating charts that are easy to read and convey a clear message. For example, I now understand how to write an effective chart title, select good colors, reduce data overload, and eliminate chart junk. It’s reached the point where I can’t even look at my old graphs without wanting to tweak them.
There is one downside of this book and it’s that it was done with two-color printing. All of the charts are limited to shades of blue and grey. While this makes for a visually cohesive (and cheaper) book, the printed figures occasionally do not fully convey the author’s point – most often when showing a bad chart. This is annoying but it’s not enough to detract from the many good things about this book.
I could barely work Excel well enough to do basic default charts back then, now Stephanie Evergreen has helped me develop a niche in my research group and she can help you too. Skeptical? Check out the photos I've attached on how we used to show data in charts and how we do it now.
Bottom line: Buy it!
The step by step processes are super easy for anyone to follow and result in some stunning visualizations!