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Data Visualization with D3 4.x Cookbook

You're reading from   Data Visualization with D3 4.x Cookbook Visualization Strategies for Tackling Dirty Data

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786468253
Length 380 pages
Edition 2nd 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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Table of Contents (15) 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. Knowing Your Map 13. Test Drive Your Visualization Appendix. Building Interactive Analytics in Minutes

Building a pie chart


A pie chart or a circle graph is a circular graph that contains 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 became 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.pie is designed for. In this recipe, we will see how a pie layout can be used to implement a fully functional pie chart.

Getting ready

Open your local...

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