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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

Visualizing flight paths with Canvas and D3

Data can come with a great many number of individual data points. Maps especially can be the playground for large datasets. While it might be tempting to visualize features of a dataset as individual elements, in explanatory data visualization especially it often makes sense to aggregate data to bring across a single point well. While Canvas allows you to show and animate many points, it is power you might want to use responsibly.

Having said that, it can often be mesmerizing to watch dynamic data unfold as well as bringing across a specific point. Combining user engagement with concise learnings is of course a great plus you should leverage if possible. Considering map data, there are a great many examples of dynamic visualizations with numerous animated elements, such as natural elements like winds or ocean currents, cultural elements...

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