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

Choosing the right dimensions, choosing the right chart

The first step toward making a solid piece of data visualization is choosing the right type of chart for a project. Quite frequently, data will contain many, many dimensions. It's your job to choose which dimensions to visualize. Similarly, it's your job to choose how to visualize those dimensions.


It's very easy to get sucked into thinking that you need a map for everything. Nowhere is this more true than in the creation of content for elections; everyone thinks of the giant choropleths behind newscasters as they watch results come in, each region turning the hue of the party it voted for. However, maps are primarily beneficial for depicting geographic data and the proximity of things in a physical space. In an American election, Idaho and New Hampshire both have four electoral college seats, but the latter is a fraction of the former's size. New York state is geographically much smaller than Montana, but it has 29 electoral seats...