Book Image

Learn D3.js

By : Helder da Rocha
2 (1)
Book Image

Learn D3.js

2 (1)
By: Helder da Rocha

Overview of this book

This book is a practical hands-on introduction to D3 (Data-driven Documents): the most popular open-source JavaScript library for creating interactive web-based data visualizations. Based entirely on open web standards, D3 provides an integrated collection of tools for efficiently binding data to graphical elements. If you have basic knowledge of HTML, CSS and JavaScript you can use D3.js to create beautiful interactive web-based data visualizations. D3 is not a charting library. It doesn’t contain any pre-defined chart types, but can be used to create whatever visual representations of data you can imagine. The goal of this book is to introduce D3 and provide a learning path so that you obtain a solid understanding of its fundamental concepts, learn to use most of its modules and functions, and gain enough experience to create your own D3 visualizations. You will learn how to create bar, line, pie and scatter charts, trees, dendograms, treemaps, circle packs, chord/ribbon diagrams, sankey diagrams, animated network diagrams, and maps using different geographical projections. Fundamental concepts are explained in each chapter and then applied to a larger example in step-by-step tutorials, complete with full code, from hundreds of examples you can download and run. This book covers D3 version 5 and is based on ES2015 JavaScript.
Table of Contents (13 chapters)

Visualizing Hierarchical Data

Efficient data visualizations benefit from different views of the same data, and fields sometimes can be organized in such a way as to reveal relationships with other data, forming hierarchical structures. In this chapter, you will learn how to prepare a dataset so that it can be used to represent a hierarchy, using nesting techniques and tools provided by the d3-hierarchy module.

There are many ways to represent hierarchies. In this module you will learn how to use generator functions that prepare hierarchical data so that it can be rendered as a tree or dendograms, but you can use the same data to generate other popular hierarchical visualizations, such as treemaps, circle packs, and partitions. You will learn how to create each one of them in this chapter through simple examples that are based on the same hierarchical dataset.

In this chapter...