Book Image

Learn Chart.js

By : Helder da Rocha
Book Image

Learn Chart.js

By: Helder da Rocha

Overview of this book

Chart.js is a free, open-source data visualization library, maintained by an active community of developers in GitHub, where it rates as the second most popular data visualization library. If you want to quickly create responsive Web-based data visualizations for the Web, Chart.js is a great choice. This book guides the reader through dozens of practical examples, complete with code you can run and modify as you wish. It is a practical hands-on introduction to Chart.js. If you have basic knowledge of HTML, CSS and JavaScript you can learn to create beautiful interactive Web Canvas-based visualizations for your data using Chart.js. This book will help you set up Chart.js in a Web page and show how to create each one of the eight Chart.js chart types. You will also learn how to configure most properties that override Chart’s default styles and behaviors. Practical applications of Chart.js are exemplified using real data files obtained from public data portals. You will learn how to load, parse, filter and select the data you wish to display from those files. You will also learn how to create visualizations that reveal patterns in the data. This book is based on Chart.js version 2.7.3 and ES2015 JavaScript. By the end of the book, you will be able to create beautiful, efficient and interactive data visualizations for the Web using Chart.js.
Table of Contents (14 chapters)
Title Page
Copyright and Credits
About Packt

Configuring colors, fonts, and responsiveness

Charts created with Chart.js are born responsive and fit nicely into your screen, but they are also born gray. In this section, you will discover how to change some style properties.

Dataset configuration for bar charts

Besides the data and label properties, each dataset object can contain a number of optional configuration properties. Most of them are used to configure fill and border colors and widths. They are briefly described in the following table:






An array of numbers containing the data to display (this is mandatory)



A label for the dataset


String or String[]

The fill color of the bar


String or String[]

The color of the border


Number or Number[]

The width of the border


String or String[]

The fill when the mouse is over the bar


String or String[]

The border color when the mouse is over the bar


Number or Number[]

The border...