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


This chapter was all about tooling. We started with linting using ESLint, then moved up to static typing using TypeScript, then finished with some testing in Mocha. That's a lot of ground to cover! Don't feel bad if you're a bit overwhelmed by it all right now, this was meant to be a really shallow overview of these tools and how to use them with D3. There are lots of resources you can pursue now that you know the basics; I highly recommended reading a little more about testing because that's really probably the biggest and most important of all of them.

We will close this book by looking at some particularly impressive examples of data visualization. Don't worry, we're done with coding now; sit back, relax, and enjoy the show as we take a quick look at what makes for a quality data visualization.