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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


In this chapter, we will turn our attention to one of the oldest and well trusted companions in data visualization—charts. Charts are a well defined and well understood graphical representation of data; the following definition just confirms it:

(In charts) the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart.

Jensen C. & Anderson L. (1991)

When charts are used in data visualization, their well understood graphical semantics and syntax relieve the audience of your visualization from the burden of learning the meaning of the graphical metaphor. Hence they can focus on the data itself and the information generated through visualization. The goal of this chapter is not only to introduce some of the commonly used chart types but also demonstrate how the various topics and techniques we have learned so far can be combined and leveraged in producing sleek interactive charts using D3.

Recipes in this chapter are much longer...

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