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Data Visualization with D3.js Cookbook

You're reading from   Data Visualization with D3.js Cookbook Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Length 338 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Nick Zhu Nick Zhu
Author Profile Icon Nick Zhu
Nick Zhu
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Toc

Table of Contents (16) Chapters Close

Preface 1. Getting Started with D3.js FREE CHAPTER 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with your Visualization 11. Using Force 12. Know your Map 13. Test Drive your Visualization A. Building Interactive Analytics in Minutes Index

Building a pie chart


A pie chart or a circle graph is a circular graph containing multiple sectors used to illustrate numerical proportion. We will explore techniques, involving D3 pie layout, to build a fully functional pie chart in this recipe. In Chapter 7, Getting into Shape, it becomes clear that using the D3 arc generator directly is a very tedious job. Each arc generator expects the following data format:

var data = [
  {startAngle: 0, endAngle: 0.6283185307179586}, 
  {startAngle: 0.6283185307179586, endAngle: 1.2566370614359172},
  ...
  {startAngle: 5.654866776461628, endAngle: 6.283185307179586}
];

This essentially requires the calculation of the angle partition for each slice out of an entire circle of 2 * Math.PI. Obviously this process can be automated by an algorithm which is exactly what d3.layout.pie is designed for. In this recipe, we will see how pie layout can be used to implement a fully functional pie chart.

Getting ready

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