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

Cartesian configuration options


Cartesian grids are used in scatter, bubble, bar, and line charts, and contain two sets of scales, one for each perpendicular axis. They are configured in an object assigned to the options.scales property:

options: {
     scales: {
         xAxes: [{…}, ..., {…}], // array of x-axis objects
        yAxes: [{…}, ..., {…}]  // array of y-axis objects
    }
 }

You can have multiple axes of each type. They can be stacked, placed side by side, or positioned on opposite sides. Each axis may be linked to a specific dataset.

Polar area and radar charts use radial scales and configure a single options.scale property:

options: {
     scale: {
         {…} // axis object containing configuration for the radial axis
     }
 }

All axis configuration objects in Cartesian charts and the scale property in radial charts contain a display property, which receives a Boolean value (true or false), making it visible or not. The following code fragments hide all axes, grids and labels...