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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

Writing testable code

There are dozens of factors to consider when creating visualizations. Every design will have its own set of unique requirements and configuration capabilities to consider. If you build on the reusable pattern outlined by Mike Bostock, you will have a great framework to start with.

When working with data visualizations, we will have some form of data manipulation or logic that must be applied to incoming data. There are two notable best practices we can leverage to test and validate these operations. They are explained in the following sections.

Keeping methods/functions small

Small functions mean low cyclomatic complexity. This means there are fewer logic branches in each function and, therefore, fewer...

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