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Learn D3.js

You're reading from   Learn D3.js Create interactive data-driven visualizations for the web with the D3.js library

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838645571
Length 650 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Helder da Rocha Helder da Rocha
Author Profile Icon Helder da Rocha
Helder da Rocha
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Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Technical Fundamentals 3. Quick Start 4. Data Binding 5. Manipulating Data and Formatting 6. Scales, Axes, and Colors 7. Shape and Layout Generators 8. Animation and Interactivity 9. Visualizing Hierarchical Data 10. Visualizing Flows and Networks 11. Visualizing Geographical Data 12. Other Books You May Enjoy

HTML5 Canvas

Most of your D3 applications will render graphics using SVG, but several shape generators in SVG can also generate Canvas, and you may choose to use Canvas in all or part of your application to improve performance if you have memory problems due to excessive objects created in the DOM.

This section provides a brief overview of the Canvas API, listing the methods you are most likely to use and some examples that can be compared to the ones created for SVG.

To draw using Canvas you need to create a <canvas> element in your page. You can do that using plain HTML:

<body>
<canvas id="canvas" width="400" height="300"></canvas>
</body>

Or using D3:

d3.select("body").append("canvas").attr("width", 400).attr("height", 300);

If you declare the Canvas element in HTML, you can...

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