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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 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

Rendering in Canvas on the server


How about we do another one of those things right now? As mentioned before, the output from our little server app is pretty dull. Let's render a map using Canvas.

We haven't really talked about it much, but Canvas is another cool way D3 can be used to render data. Instead of writing a bunch of elements into a DOM tree format like SVG, Canvas renders pixels in a 2D plane, which can be much better for performance. It's a much different workflow than what we're used to, and I don't focus on it too much in this book because it tends to be harder to debug for beginners, but let's give it a shot and deep dive into it for one example.

By the way, it's worth noting this is a super weird way to use Canvas compared to how we can in the browser; normally, we'd just rely on the browser's built-in Canvas renderer, but we don't have that luxury on the server. Note, however, that the Canvas code we're writing for node-canvas will work the same way in the browser, in case...

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