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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

Behaviors


In the last section, we made an explanatory graphic that used interaction to guide the user through the data. Often, however, the goal is just to make a dataset interactive and give the user some way of manipulating it, in other words, an exploratory graphic.

D3's behaviors save a boatload of time setting up the more complex interactions in a chart. Additionally, they're designed to handle differences in input devices, so you only have to implement a behavior once to have it work with both a mouse and touch device. The two currently supported behaviors are drag and zoom, which will get you pretty far.

Drag

Instead of having the user click buttons in the last example, what if we just let them drag the chart area to see the UK's prison population change? It involves a bit more work on the user's behalf, but it also gives them the ability to freely navigate through the chart, which may be desirable in some circumstances.

Let's extend our prisonChart object again. Comment out everything...

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