Book Image

D3.js 4.x Data Visualization - Third Edition

By : Aendrew Rininsland, Swizec Teller
Book Image

D3.js 4.x Data Visualization - Third Edition

By: Aendrew Rininsland, Swizec Teller

Overview of this book

Want to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization. This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and technique You will start by setting up the D3 environment and making your first basic bar chart. You will then build stunning SVG and Canvas-based data visualizations while writing testable, extensible code,as accurate and informative as it is visually stimulating. Step-by-step examples walk you through creating, integrating, and debugging different types of visualization and will have you building basic visualizations (such as bar, line, and scatter graphs) in no time. By the end of this book, you will have mastered the techniques necessary to successfully visualize data and will be ready to use D3 to transform any data into an engaging and sophisticated visualization.
Table of Contents (18 chapters)
Title Page
About the Authors
About the Author2
About the Reviewer
Customer Feedback
Shape Primitives of D3

Chapter 9. Having Confidence in Your Visualizations

When you're building things for the huge audience the Web allows, a very real fear that you have is a software glitch that prevents data from displaying correctly. When developing projects on a tight timeline, testing is an aspect that often gets neglected as the deadline gets closer and closer, and often things need to be viewed by other people (editors, managers, and the like) even earlier, emphasizing output over process in turn. Let me be clear--if you want to ensure that your visualizations are high-quality, you need to take steps to ensure that they are well-tested and functioning properly. On some level, doing this is an exercise in managing complexity.

The following chart depicts project complexity over time. As you can see, complexity increases somewhat exponentially as time goes on. Adding more team members, more lines of code, and/or more dependencies increases the project's complexity dramatically. Meanwhile, the step-chart depicts...