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Data Visualization with D3.js Cookbook

You're reading from  Data Visualization with D3.js Cookbook

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Pages 338 pages
Edition 1st Edition
Languages
Author (1):
Nick Zhu Nick Zhu
Profile icon Nick Zhu

Table of Contents (21) Chapters

Data Visualization with D3.js Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Getting Started with D3.js Be Selective Dealing with Data Tipping the Scales Playing with Axes Transition with Style Getting into Shape Chart Them Up Lay Them Out Interacting with your Visualization Using Force Know your Map Test Drive your Visualization Building Interactive Analytics in Minutes Index

Building a choropleth map


Choropleth map is a thematic map, in other words, a specially designed map not a general purpose one, which is designed to show measurement of statistical variable on the map using different color shades or patterns; or sometimes referred as geographic heat-map in simpler terms. We have already seen in the previous two recipes that geographic projection in D3 consists of a group of svg:path elements, therefore, they can be manipulated as any other svg elements including coloring. We will explore this feature in geo-projection and implement a Choropleth map in this recipe.

Getting ready

Open your local copy of the following file in your web browser hosted on your local HTTP server:

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter12/choropleth.html

How to do it...

In a choropleth map different geographic regions are colored according to their corresponding variables, in this case based on 2008 unemployment rate in US by county. Now, let's see how to do...

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