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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
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Table of Contents (18) Chapters Close

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 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

Chapter 9. Having Confidence in Your Visualizations

When you're building things for the huge audience the Web allows, a very real fear that you have is a software glitch that prevents data from displaying correctly. When developing projects on a tight timeline, testing is an aspect that often gets neglected as the deadline gets closer and closer, and often things need to be viewed by other people (editors, managers, and the like) even earlier, emphasizing output over process in turn. Let me be clear--if you want to ensure that your visualizations are high-quality, you need to take steps to ensure that they are well-tested and functioning properly. On some level, doing this is an exercise in managing complexity.

The following chart depicts project complexity over time. As you can see, complexity increases somewhat exponentially as time goes on. Adding more team members, more lines of code, and/or more dependencies increases the project's complexity dramatically. Meanwhile, the step-chart depicts...

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