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)

Summary

In this chapter, you learned how to use most of the methods of the d3-array module, which extend JavaScript with several tools for data manipulation, making it easier to prepare data for use in selections, and in layout and shape generators.

You learned about two strategies for grouping data. The d3.nest() function from d3-collection is the most popular and the simplest one to use, but it may be replaced in the near future with functions derived from d3.group() and d3.rollup(), which are used in recent versions of the d3-array module. A full example using multi-level grouping was explored in this chapter using d3.nest(). You might want to try and repeat the example using d3.group() or d3.rollup() as an exercise.

We also introduced four other modules: d3-random, which is used to generate random distributions that we displayed as histograms, d3-interpolate, for interpolation...