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Learning D3.js 5 Mapping

You're reading from   Learning D3.js 5 Mapping Build cutting-edge maps and visualizations with JavaScript

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781787280175
Length 298 pages
Edition 2nd Edition
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Authors (3):
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Thomas Newton Thomas Newton
Author Profile Icon Thomas Newton
Thomas Newton
Oscar Villarreal Oscar Villarreal
Author Profile Icon Oscar Villarreal
Oscar Villarreal
Lars Verspohl Lars Verspohl
Author Profile Icon Lars Verspohl
Lars Verspohl
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Table of Contents (13) Chapters Close

Preface 1. Gathering Your Cartography Toolbox FREE CHAPTER 2. Creating Images from Simple Text 3. Producing Graphics from Data - the Foundations of D3 4. Creating a Map 5. Click-Click Boom! Applying Interactivity to Your Map 6. Finding and Working with Geographic Data 7. Testing 8. Drawing with Canvas and D3 9. Mapping with Canvas and D3 10. Adding Interactivity to Your Canvas Map 11. Shaping Maps with Data - Hexbin Maps 12. Publishing Your Visualization with GitHub Pages

Producing Graphics from Data - the Foundations of D3

We have acquired our toolbox and reviewed the basics of SVG. It is now time to explore D3.js. D3 is the evolution of the Protovis (http://mbostock.github.io/protovis/) library. If you have already delved into data visualization have been interested in making charts for your web application, you might have already used this library. Additional libraries also exist that can be differentiated by how quickly they rendered graphics and their compatibility with different browsers. For example, Internet Explorer did not support SVG but used its own implementation, VML. This made the Raphaël.js library an excellent option because it automatically mapped to either VML or SVG. On the other hand, jqPlot was easy to use, and its simplistic jQuery plugin interface allowed developers to adopt it very quickly.

However, Protovis had something...

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