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)

Data formats

Data used in visualizations are usually distributed in a standard format that can be shared. Even when the data is served from a database, the data is usually delivered in some standard format. Popular proprietary formats such as Excel spreadsheets are common, but most statistical data is stored or delivered in CSV, XML or JSON formats.

CSV

CSV stands for Comma-Separated Values. It's a very popular data format for public data. A CSV file is a text file that emulates a table. It usually contains one header row with names of the columns, and one or more data rows containing value fields. Rows are separated by line breaks, and the comma-separated fields in each row form columns. It maps perfectly to an HTML...