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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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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 2. A Primer on DOM, SVG, and CSS FREE CHAPTER 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

Behavior-driven development with Mocha and Chai


All of these will get you pretty far toward, with more confidence in your visualizations, but another step you can take to be even more of a rockstar is to add automated testing to your projects.

There are many reasons to write automated tests: if you have a product that has to reliably render charts, and the chart is rendering merely a part of a much larger application, you likely want to use automated testing to ensure that changes to the application don't break your charts. Likewise, if you've created an open source project that receives a lot of pull requests from various people who use your library, you might want tests to ensure that none of this outside code causes regressive bugs. Beyond that, automated tests are great if you want to be able to show your editor proof that your chart is working and accurate, or if you merely want to have more confidence in your data visualization work.

There are fundamentally two ways you can approach...

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