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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

Hierarchical layouts


All hierarchical layouts are based on an abstract hierarchy layout designed for representing hierarchical data: a recursive parent-child structure. As mentioned earlier, imagine a tree or an organization chart.

All the code for the partition, tree, cluster, pack, and treemap layouts are defined in the d3-hierarchy module, and they all follow similar design patterns. The layouts are very similar and share lots of common aspects; so, to avoid repeating ourselves a whole bunch, we'll look at the common stuff first, and then focus on the differences.

First of all, we need some hierarchical data. In the book repository, I've provided a file called GoT-lineages-screentimes.json that contains all the character lineages (by father), the amount of time spent on screen, and the number of episodes a character is in. We'll use genealogies of each character as a way of creating a hierarchy, then time on screen to size various page elements in layouts that necessarily need them (I don...

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