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D3.js 4.x Data Visualization - Third Edition

You're reading from  D3.js 4.x Data Visualization - Third Edition

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Pages 308 pages
Edition 3rd Edition
Languages
Authors (2):
Aendrew Rininsland Aendrew Rininsland
Profile icon Aendrew Rininsland
Swizec Teller Swizec Teller
Profile icon Swizec Teller
View More author details

Table of Contents (18) Chapters

Title Page
Credits
About the Authors
About the Author2
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with D3, ES2017, and Node.js 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

Scalable Vector Graphics


Scalable Vector Graphics (SVG) is a vector graphics format that describes images with XML. It has been around since 1999 and is supported by all major browsers nowadays.

Vector images can be rendered in any size without becoming fuzzy. This means that you can render the same image on a large retina display or a small mobile phone, and it will look great in both cases. SVG images are made up of shapes you can create from scratch using paths or put together from basic shapes (for example, lines and circles) defined in the standard. The format itself represents shapes with XML elements and attributes. Since it's an XML-style standard like HTML, quite a lot of what you may already know about HTML also applies to SVG.

As such, SVG code is just a bunch of text you can edit manually, inspect with your browser's normal debugging tools, and compress with standard text compression algorithms. Being text based also means that you can use D3 to create an image in your browser...

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