Book Image

Data Visualization with D3.js Cookbook

By : Nick Zhu
Book Image

Data Visualization with D3.js Cookbook

By: Nick Zhu

Overview of this book

D3.js is a JavaScript library designed to display digital data in dynamic graphical form. It helps you bring data to life using HTML, SVG, and CSS. D3 allows great control over the final visual result, and it is the hottest and most powerful web-based data visualization technology on the market today. "Data Visualization with D3.js Cookbook" is packed with practical recipes to help you learn every aspect of data visualization with D3. "Data Visualization with D3.js Cookbook" is designed to provide you with all the guidance you need to get to grips with data visualization with D3. With this book, you will create breathtaking data visualization with professional efficiency and precision with the help of practical recipes, illustrations, and code samples. "Data Visualization with D3.js Cookbook" starts off by touching upon data visualization and D3 basics before gradually taking you through a number of practical recipes covering a wide range of topics you need to know about D3. You will learn the fundamental concepts of data visualization, functional JavaScript, and D3 fundamentals including element selection, data binding, animation, and SVG generation. You will also learn how to leverage more advanced techniques such as custom interpolators, custom tweening, timers, the layout manager, force manipulation, and so on. This book also provides a number of pre-built chart recipes with ready-to-go sample code to help you bootstrap quickly.
Table of Contents (21 chapters)
Data Visualization with D3.js Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Building a treemap


Treemaps were introduced by Ben Shneiderman in 1991. A treemap displays hierarchical tree-structured data as a set of recursively subdivided rectangles. In other words, it displays each branch of the tree as a large rectangle which is then tiled with smaller rectangles representing sub-branches. This process continuously repeats itself till it reaches the leaves of the tree.

Note

For more information on treemaps, see this paper by Ben Shneiderman at http://www.cs.umd.edu/hcil/treemap-history/

Before we dive into the code example, let's first define what we mean by hierarchical data .

So far we have learned many types of visualizations capable of representing flat data structure usually stored in one or two dimensional arrays. In the rest of this chapter, we will switch our focus onto another common type of data structure in data visualization—the hierarchical data structure. Instead of using arrays, as in the case of flat data structures, hierarchical data are usually structured...