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


In this chapter, we learned how to install Chart.js in a web application and how to quickly create a simple interactive and responsive bar chart, which can be included in a web page. We also learned how to configure the default look and feel of a chart, by changing basic properties, such as colors, fonts, responsiveness, animation duration, and tooltips. With this knowledge, you can already start using Chart.js to display simple data visualizations in your web pages.

This chapter also explored some real-world issues, such as loading external files, and how to deal with larger datasets, by filtering data and configuring the chart in order to display the information more efficiently.

In the following chapters, we will explore Chart.js in greater detail, create all eight different types of charts, learn how to configure several other properties, and deal with more complex datasets.