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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
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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

Smitten with partition


These next few charts are just going to fly by; they're really similar and we don't have anything else in terms of common functions to write.

Adjacency diagrams are similar to treemaps, but are intended to fill the available space. They tend to be useful for visualizing things such as disk usage. They are created by the partition layout.

Here's our example code in full:

westerosChart.partition = function Partition(_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(heightOrValueComparator); 

  const layout = d3.partition() 
    .size([ 
      this.innerWidth - 100, 
      this.innerHeight, 
    ]) 
    .padding(2) 
    .round(true); 

  layout(root); 

  const nodes = this.container.selectAll('.node') 
    .data(root.descendants().slice(1)) 
    .enter() 
    .append('g') 
      .attr('class', 'node...
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