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Data Visualization with D3.js Cookbook

You're reading from  Data Visualization with D3.js Cookbook

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Pages 338 pages
Edition 1st Edition
Languages
Author (1):
Nick Zhu Nick Zhu
Profile icon Nick Zhu

Table of Contents (21) Chapters

Data Visualization with D3.js Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Getting Started with D3.js Be Selective Dealing with Data Tipping the Scales Playing with Axes Transition with Style Getting into Shape Chart Them Up Lay Them Out Interacting with your Visualization Using Force Know your Map Test Drive your Visualization 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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