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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

Readying the environment


Ever written server apps in PHP? If so, you're in for a treat. JavaScript web applications are a million times easier to deploy thanks to Platform-as-a-Service (PaaS) web hosting providers, and you can manage an entire fleet of servers using a few simple tools. Instead of fighting with a huge monolithic Apache or Nginx configuration, you can deploy a new instance for every app you create, which sandboxes them and allows for much more compact infrastructure. We'll discuss how to deploy to Heroku later in the chapter; for now, we will just test everything locally.

Note

What is Heroku, and do you have to use it? Heroku is a way of deploying applications that use 12-factor app principles (for the specifics, visit http://12factor.net). Without going too deep into the 12-factor app philosophy, the idea is that you try to create stateless applications that use web services in the place of a large, monolithic piece of server infrastructure (for instance, a Linux-based virtual...

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