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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
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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

Using Canvas

You may have noticed that dragging and zooming are sometimes slow and choppy. One of the main reasons this happens is the large amount of objects in memory. A large dataset can create hundreds of thousands of objects, draining your memory resources and freezing your animations.

But if you configure a path with the context() method and an HTML Canvas context, it will no longer generate an SVG path string, but a sequence of calls to HTML Canvas path methods.

The same dataset that creates thousands of SVG objects creates a single Canvas, which uses much less resources. On the other hand it's much harder to select object in a Canvas, apply styles and create interactive maps.

The following example is a Canvas-version of the map you created in the beginning of this chapter. Replace the code that creates and configures the SVG for one that creates and configures a Canvas...

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