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D3.js 4.x Data Visualization

You're reading from   D3.js 4.x Data Visualization Learn to visualize your data with JavaScript

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Length 308 pages
Edition 3rd Edition
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Authors (2):
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Aendrew Rininsland Aendrew Rininsland
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Aendrew Rininsland
Swizec Teller Swizec Teller
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Swizec Teller
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with D3, ES2017, and Node.js FREE CHAPTER 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

Animation


The first question worth asking is: Why would animation improve this project?

If you're making something that isn't really intended to communicate data and is just designed to trip people out at your local warehouse rave, then because it would make it look cool is a totally valid response. Don't let me discourage you from running rainbow color interpolators through your charts if you think it'd be fun (because, speaking from personal experience, creating crazy animated art with D3 is a rather enjoyable use of a Saturday afternoon).

If, however, you're rendering data, a bit more consideration is probably necessary. What is your data doing? If it's a value increasing over time, animating a line going upward from left-to-right makes more sense than fading in the line all at once.

Previously, we set attributes on our various SVG objects as we wanted them to appear once the image was finally rendered. Now, we'll use animation to guide viewers through our graphic, using the narrative focus...

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