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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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Toc

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

Striking a chord


The chord layout creates a circular diagram showing relations in a dataset. We will use yet another dataset here, found in the data/ directory stormofswords.csv, from the Network of Thrones dataset available at https://www.macalester.edu/~abeverid/thrones.html.

This dataset was created by looking at the proximity of character names in the text of the book series in order to find the weight of each character's connection to the other characters. It is an ideal dataset for the next two examples, which look at arbitrary nonhierarchical connections between data.

Start by doing the comment out the last example and add this dance in main.js:

westerosChart.init('chord', 'data/stormofswords.csv');

Go back to chapter7/index and scaffold out the new chart method:

westerosChart.chord = function Chord(_data) {};

Nothing new. We will create an array of sources and links between them, assuming the strength of the connection is greater than 20. Add this to the Chord function:

  const minimumWeight...
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