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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

Axes

Now that we can make all these different shapes, let's use them to create something actually useful. One way we can do that is by using lines and text to create graph axes. It would be tedious though, so D3 makes our lives easier with axis generators. They take care of drawing a line, putting on some ticks, adding labels, evenly spacing them, and so on.

A D3 axis is just a combination of path generators configured for awesomeness. All we have to do for a simple linear axis is create a scale and tell the axis to use it.

In D3, it's worth remembering that a scale is a function that maps an input range to an output domain, whereas an axis is merely a visual representation of a scale.

Also, because we will be using scales a lot from now on, let's do that Scott Murray exercise from Chapter 1, Getting Started with D3, ES2017, and Node.js, again: Input! Domain! Output...

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