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D3.js 4.x Data Visualization

You're reading from   D3.js 4.x Data Visualization Learn to visualize your data with JavaScript

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787120358
Length 308 pages
Edition 3rd Edition
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Aendrew Rininsland Aendrew Rininsland
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Table of Contents (18) Chapters Close

Title Page
Credits
About the Authors
About the Author2
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with D3, ES2017, and Node.js FREE CHAPTER 2. A Primer on DOM, SVG, and CSS 3. Shape Primitives of D3 4. Making Data Useful 5. Defining the User Experience - Animation and Interaction 6. Hierarchical Layouts of D3 7. The Other Layouts 8. D3 on the Server with Canvas, Koa 2, and Node.js 9. Having Confidence in Your Visualizations 10. Designing Good Data Visualizations

Geography


Geospatial data types are used for weather or population data; anything where you want to draw a map. Converting real-world coordinates into something representable on a 2D plane is a complex mathematical problem that has spanned centuries of human history (and still isn't really solved in any way if the huge number of projections that ship with d3-geo-projection is any indication).

D3 gives us three tools for geographic data:

  • Paths produce the final pixels
  • Projections turn sphere coordinates into Cartesian coordinates
  • Streams speed things up

The main data format we'll use is TopoJSON, a more compact extension of GeoJSON, created by Mike Bostock. In a way, TopoJSON is to GeoJSON what DivX is to video. While GeoJSON uses the JSON format to encode geographical data with points, lines, and polygons, TopoJSON instead encodes basic features with arcs and re-uses them to build more and more complex features. As a result, files can be as much as 80 percent smaller than when we use GeoJSON...

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