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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

Getting Jasmine and setting up the test environment

Before we start writing our unit test cases we need to set up an environment where our test cases can be executed to verify our implementation. In this recipe, we will show how this environment and necessary libraries can be set up for a visualization project.

Getting ready

Jasmine (http://pivotal.github.io/jasmine/) is a behavior-driven development (BDD) framework for testing JavaScript code.

Note

BDD is a software development technique that combines Test Driven Development (TDD) with domain driven design.

We chose Jasmine as our testing framework because of its popularity in JavaScript community as well as its nice BDD syntax. You can download the Jasmine library from:

https://github.com/pivotal/jasmine/downloads

Once downloaded you need to unzip it into the lib folder. Besides the lib folder we also need to create the src and spec folders for storing source files as well as test cases (in BDD terminology test cases are called specification...

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