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D3.js 4.x Data Visualization - Third Edition

You're reading from  D3.js 4.x Data Visualization - Third Edition

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Pages 308 pages
Edition 3rd Edition
Languages
Authors (2):
Aendrew Rininsland Aendrew Rininsland
Profile icon Aendrew Rininsland
Swizec Teller Swizec Teller
Profile icon Swizec Teller
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Table of Contents (18) Chapters

Title Page
Credits
About the Authors
About the Author2
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with D3, ES2017, and Node.js 2. A Primer on DOM, SVG, and CSS 3. Shape Primitives of D3 4. Making Data Useful 5. Defining the User Experience - Animation and Interaction 6. Hierarchical Layouts of D3 7. The Other Layouts 8. D3 on the Server with Canvas, Koa 2, and Node.js 9. Having Confidence in Your Visualizations 10. Designing Good Data Visualizations

Using color effectively


One of the biggest choices you'll make when building data visualizations is choosing which colors to use to represent what. While it's certainly possible to convey a lot of information through purely monochromatic charts, using the wide range of color representable through a digital display can be a very effective way of depicting another dimension of the data you're visualizing.

If you plan to use color to communicate information, there are a few things to consider. The first is whether a user will be able to discern the pattern necessary to understand what the colors mean. If you have a legend explaining what color corresponds to what, try turning it off and thinking about whether you're still able to understand what the color combination means. Is it intending to show increasing intensity, diverging values, or just that it has a particular quality (in which case, you'll definitely need a legend)?

Secondly, pay some attention to people who are colorblind. The most...

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