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Data Visualization with D3.js Cookbook

You're reading from   Data Visualization with D3.js Cookbook Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Length 338 pages
Edition 1st Edition
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Author (1):
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Nick Zhu Nick Zhu
Author Profile Icon Nick Zhu
Nick Zhu
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with D3.js FREE CHAPTER 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with your Visualization 11. Using Force 12. Know your Map 13. Test Drive your Visualization A. Building Interactive Analytics in Minutes Index

Introduction

The ability to project and correlate data points to geographic regions is crucial in many types of visualizations. Geographic visualization is a complex topic with many competing standards emerging and maturing for today's web technology. D3 provides few different ways to visualize geographic and cartographic data. In this chapter we will introduce basic D3 cartographic visualization techniques and how to implement a fully-functional choropleth map (a special purpose colored map) in D3.

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