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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

Pack it up, pack it in, let me begin...


The pack layout produces charts similar to treemaps, but using round nodes. This is probably the best of the last three charts in this section for representing this hierarchy -- remember how we needed to use a ludicrous amount of padding in our treemap to make the parent nodes more visible? Since circle packing diagrams use more space, the parent nodes are more visible and that relationship is more pronounced.

Like before, comment out the other westerosChart.init() lines in main.js and add this:

westerosChart.init('partition', 'data/GoT-lineages-screentimes.json');

Next, add the following to chapter6/index.js:

westerosChart.pack = function Pack(_data) { 
  const data = getMajorHouses(_data); 

  const stratify = d3.stratify() 
    .parentId(d => d.fatherLabel) 
    .id(d => d.itemLabel); 

  const root = stratify(data) 
    .sum(d => d.screentime) 
    .sort(valueComparator); 

  const houseColors = color.copy().domain(houseNames(root)); 
  fixateColors...
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