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Mastering D3.js

You're reading from   Mastering D3.js Bring your data to life by creating and deploying complex data visualizations with D3.js

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Product type Paperback
Published in Aug 2014
Publisher Packt
ISBN-13 9781783286270
Length 352 pages
Edition 1st Edition
Tools
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Author (1):
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Pablo NAVARRO CASTILLO Pablo NAVARRO CASTILLO
Author Profile Icon Pablo NAVARRO CASTILLO
Pablo NAVARRO CASTILLO
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Table of Contents (14) Chapters Close

Preface 1. Data Visualization FREE CHAPTER 2. Reusable Charts 3. Creating Visualizations without SVG 4. Creating a Color Picker with D3 5. Creating User Interface Elements 6. Interaction between Charts 7. Creating a Charting Package 8. Data-driven Applications 9. Creating a Dashboard 10. Creating Maps 11. Creating Advanced Maps 12. Creating a Real-time Application Index

Creating maps with D3

In this section, we will create map-charts based on SVG. We will use the GeoJSON file with the countries to create a choropleth map that shows the distortions introduced by the Mercator projection.

We will also create maps using the more compact format, TopoJSON, and use topologic information contained in the file to find the neighbors and specific frontiers between countries.

Creating a choropleth map

In this section, we will create a choropleth map to compare the areas of different countries. We will paint each country according to its area; countries with greater areas will be colored with darker colors. In general, the Mercator projection is not suitable to create choropleth maps showing large areas, as this projection shows the regions near the poles bigger than they really are. For instance, Antarctica is smaller than Russia, but using the Mercator projection, it seems bigger. Brazil has a greater area than Greenland, but with this projection, it looks smaller.

In...

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