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

What are layouts and why should you care?

D3 layouts are modules that transform data into drawing rules. The simplest layout might only transform an array of objects into coordinates, like a scale.

However, we usually use layouts for more complex visualizations, such as drawing a force-directed graph or a tree, for instance. In these cases, layouts help us to separate calculating coordinates from putting pixels on the screen. This not only makes our code cleaner, but it also lets us reuse the same layouts for vastly different visualizations.

Built-in layouts

By default, D3 comes with around a dozen built-in layouts that cover most common visualizations. They can be split roughly into normal and hierarchical layouts. Normal layouts represent data in a flat hierarchy, whereas hierarchical layouts generally present data in a tree-like structure. 

The normal (non-hierarchical) layouts are as follows:

  • Histogram
  • Pie
  • Stack
  • Chord
  • Force

The hierarchical layouts are as follows:

  • Tree
  • Cluster
  • Tree map
  • Partition
  • Pack...