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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 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

Helping your audience understand scale

A big part of visualizing data is conveying scale and differences in magnitude. The following examples do this particularly well.

To start with, view John Burn-Murdoch's graphic on high-speed elevators for the Financial Times at http://www.ft.com/cms/s/2/1392ab72-64e2-11e4-ab2d-00144feabdc0.html.

The following screenshot doesn't really do it justice:

If the preceding screenshot were a live visualization, you would see the elevators at each building endlessly rise and fall, with a counter beneath tracking how many times the elevator has gone up and down while looking at the page. A nice bit of easing at the top and bottom makes you feel that the little magenta square travelling along the line is a real elevator, subject to physics in the same way a big metal cage rapidly moving up and down the world's tallest buildings would...

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