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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
Author Profile Icon Aendrew Rininsland
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

Flow control


JavaScript is a single-threaded asynchronous language, meaning that it doesn't really fork in the same way you would expect a multi-threaded language like C++ to, and thus a function blocking the main thread causes everything to grind to a halt. Luckily, the asynchronous part of that means functions generally won't do this, and functions can be written so that the next one can fire before the first one finishes.

On the one hand, this is one of the most interesting and powerful aspects of JavaScript as a language. On the other, it makes things somewhat more difficult to reason about, and adds a degree of complexity to organizing one's code. While you can do pretty much anything without getting too bogged down in the JavaScript event model, the one place where the asynchronous nature of JavaScript is particularly visible is when you make a request -- no matter how fast broadband Internet gets, so long as it conforms to the standard model of physics, there will always be some degree...

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