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
Contributors
Preface
Index

Chapter 4. Creating Charts

This chapter covers several charts that can be created with Chart.js to efficiently communicate quantitative information and relationships. The choice of a chart depends on the type of data, how each set of values is related to one another, and what kind of relationships you want to show. In the previous chapter, we learned how to efficiently display data in bar charts and compare quantitative information related to different categories. In this chapter, you will create line and radar charts to compare sequences of one-dimensional data, pie and doughnut charts to compare proportions, scatterplots and bubble charts to represent two or more dimensions, and polar area charts to display quantitative data in a radial grid.

In this chapter, you will learn about the following topics:

  • Line and area charts
  • Radar and polar area charts
  • Pie and doughnut charts
  • Scatterplots and bubble charts