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Data Visualization with D3 4.x Cookbook

You're reading from   Data Visualization with D3 4.x Cookbook Visualization Strategies for Tackling Dirty Data

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786468253
Length 380 pages
Edition 2nd Edition
Languages
Tools
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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 (21) Chapters Close

Data Visualization with D3 4.x Cookbook - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
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. Knowing Your Map 13. Test Drive Your Visualization Building Interactive Analytics in Minutes

Introduction


The ultimate goal of visualization design is to optimize applications so that they help us perform cognitive work more efficiently.

Ware C. (2012)

The goal of data visualization is to help the audience gain information from a large quantity of raw data quickly and efficiently through metaphor, mental model alignment, and cognitive magnification. So far, in this book, we have introduced various techniques to leverage D3 library by implementing many types of visualization. However, we haven't touched a crucial aspect of visualization: human interaction. Various research have concluded the unique value of human interaction in information visualization.

Visualization combined with computational steering allows faster analyses of more sophisticated scenarios...This case study adequately demonstrate that the interaction of a complex model with steering and interactive visualization can extend the applicability of the modelling beyond research

Barrass I. & Leng J (2011)

In this...

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