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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


One of the most fundamental tasks that you need to perform with any data visualization project using D3 is selection. Selection helps you target certain visual elements on the page. If you are already familiar with the W3C standardized CSS selector or other similar selector APIs provided by popular JavaScript libraries, such as jQuery and Zepto.js, then you will find yourself right at home with D3's selection API. Don't worry if you haven't used selector API before, this chapter is designed to cover this topic in steps with the help of some very visual recipes; it will cover pretty much all common use cases for your data visualization needs.

Introducing selection: Selector support has been standardized by W3C so all modern web browsers have built-in support for the selector API. However the basic W3C selector API has its limitations when it comes to web development, especially in the data visualization realm. The standard W3C selector API only provides selector but not selection...

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