Book Image

Data Visualization with D3.js Cookbook

By : Nick Zhu
Book Image

Data Visualization with D3.js Cookbook

By: Nick Zhu

Overview of this book

D3.js is a JavaScript library designed to display digital data in dynamic graphical form. It helps you bring data to life using HTML, SVG, and CSS. D3 allows great control over the final visual result, and it is the hottest and most powerful web-based data visualization technology on the market today. "Data Visualization with D3.js Cookbook" is packed with practical recipes to help you learn every aspect of data visualization with D3. "Data Visualization with D3.js Cookbook" is designed to provide you with all the guidance you need to get to grips with data visualization with D3. With this book, you will create breathtaking data visualization with professional efficiency and precision with the help of practical recipes, illustrations, and code samples. "Data Visualization with D3.js Cookbook" starts off by touching upon data visualization and D3 basics before gradually taking you through a number of practical recipes covering a wide range of topics you need to know about D3. You will learn the fundamental concepts of data visualization, functional JavaScript, and D3 fundamentals including element selection, data binding, animation, and SVG generation. You will also learn how to leverage more advanced techniques such as custom interpolators, custom tweening, timers, the layout manager, force manipulation, and so on. This book also provides a number of pre-built chart recipes with ready-to-go sample code to help you bootstrap quickly.
Table of Contents (21 chapters)
Data Visualization with D3.js Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...