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Mastering D3.js

You're reading from   Mastering D3.js Bring your data to life by creating and deploying complex data visualizations with D3.js

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Product type Paperback
Published in Aug 2014
Publisher Packt
ISBN-13 9781783286270
Length 352 pages
Edition 1st Edition
Tools
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Author (1):
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Pablo NAVARRO CASTILLO Pablo NAVARRO CASTILLO
Author Profile Icon Pablo NAVARRO CASTILLO
Pablo NAVARRO CASTILLO
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Table of Contents (14) Chapters Close

Preface 1. Data Visualization FREE CHAPTER 2. Reusable Charts 3. Creating Visualizations without SVG 4. Creating a Color Picker with D3 5. Creating User Interface Elements 6. Interaction between Charts 7. Creating a Charting Package 8. Data-driven Applications 9. Creating a Dashboard 10. Creating Maps 11. Creating Advanced Maps 12. Creating a Real-time Application Index

Using canvas and D3

Until now, we have used D3 to create visualizations by manipulating SVG elements and divs. In some cases, it can be more convenient to render the visualizations using the canvas elements, for performance reasons or if we need to transform and render raster images. In this section, we will learn how to create figures with the HTML5 canvas element and how to use D3 to render figures with the canvas element.

Creating figures with canvas

The HTML canvas element allows you to create raster graphics using JavaScript. It was first introduced in HTML5. It enjoys more widespread support than SVG and can be used as a fallback option. Before diving deeper into integrating canvas and D3, we will construct a small example with canvas.

The canvas element should have the width and height attributes. This alone will create an invisible figure of the specified size:

<!— Canvas Element -->
<canvas id="canvas-demo" width="650px" height="60px"&gt...
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