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Mastering SVG

You're reading from   Mastering SVG Ace web animations, visualizations, and vector graphics with HTML, CSS, and JavaScript

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788626743
Length 312 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Rob Larsen Rob Larsen
Author Profile Icon Rob Larsen
Rob Larsen
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Table of Contents (13) Chapters Close

Preface 1. Introducing Scalable Vector Graphics 2. Getting Started with Authoring SVG FREE CHAPTER 3. Digging Deeper with SVG Authoring 4. Using SVG in HTML 5. Working with SVG and CSS 6. JavaScript and SVG 7. Common JavaScript Libraries and SVG 8. SVG Animation and Visualizations 9. Helper Libraries Snap.svg and SVG.js 10. Working with D3.js 11. Tools to Optimize Your SVG 12. Other Books You May Enjoy

Implementing a donut chart with D3


This next sample illustrates another basic data visualization: in this case, a donut chart. Slightly more complicated than a pie chart, this visualization illustrates some new features of D3. When complete, the visualization will look like the following screenshot.

 

 

 

 

 

 

It represents the distribution of individual comic books (referenced by title and issue number) among the top 50 comic book sales of all time (public sales, at the time of writing). There are a few comics that dominate lists like that and this chart will show which ones dominate the most:

 

The data looks like the following CSV:

title,numbers
"Action Comics #1",18
"All Star #8", 1
"Amazing Fantasy #15",4
"Batman #1",2
"Captain America Comics #1", 1
"Detective Comics #27",13
"Flash Comics #1", 2
"Incredible Hulk #1", 2
"Marvel Comics #1", 1
"Sensation Comics #1", 1
"Tales of Suspense #39", 1
"X-Men #1", 3

The HTML file is very simple. It includes, once again, Raleway, Bootstrap, d3-fetch, and...

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