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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

Whenever we program as a professional programmer it is always important to test the program we write in order to make sure it functions as designed and produces the expected outcome. D3 data visualization mainly consists of JavaScript programs hence just like any other program we write, data visualization needs to be tested to make sure it represents the underlying data accurately. Obviously, we can perform our validation through visual examination and manual testing, which is always a critical part of the process of building data visualization since visual observation gives us a chance to verify not only the correctness, but also the aesthetics, usability, and many other useful aspects. However, manual visual inspection can be quite subjective, therefore, in this chapter we will focus our effort on automated unit testing. Visualization well covered by unit tests can free the creator from the manual labor of verifying correctness by hand additionally, allowing him/her to focus...

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