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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

Summary


In this chapter, first we set up Webpack to produce a separate bundle for the server, then we wrote a simple webapp using Koa 2 that used D3's Voronoi geom to find the nearest airport to a particular latitude/longitude pair. We then upgraded our server app to draw a map using D3 and Canvas, which we then outputted to the user as a PNG via a base64-encoded string.

Wasn't that all really pretty weird, but also kind of fun? Writing server-side code is like that. However, it can also be really rather cathartic after spending a bunch of time doing frontend development, which tends to be really finicky due to having to support so many devices. Furthermore, although purely client-side single-page applications were popular for a while, webapps are increasingly pre-rendered via a server, then rehydrated once they arrive for the user. It's never been more important for frontend developers to have at least a passable understanding of what's going on behind the scenes.

There's clearly quite a...

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