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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

Loading data


Quite often, you won't have the benefit of being able to create data using the Math random number generator functions, you'll need to load it from an external source. While sometimes it's easier to have your code generate your dataset, most of the time you'll be mapping real data to what you create with D3.

You can get data in a number of ways. I'll cover the main ones here:

  • Make some sort of manual HTTP request: We already did this in earlier chapters. We supply a URL to a function that causes the browser to make a request. Both XMLHttpRequest and Fetch fall into this category. To import JSON, the server needs to have Cross-Origin Resource Sharing (CORS) enabled, meaning that it sends a header resembling Access-Control-Allow-Origin: *. This is due to the browser's security model, but it doesn't apply if we're loading data off the same domain, so we're able to do that without any extra work.
  • Import it as a module: Some datasets are available as modules via npm. A good example of...
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