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

Scatter and bubble charts


Scatter charts or scatterplots are very popular in data science and statistics. They can be used to explore various kinds of correlations between variables, revealing trends, clusters, linear, and non-linear relationships. It's an essential tool in problem solving procedures and decision-making.

Scatter charts display the correlation between two variables by plotting their points in a system of Cartesian coordinates. Additional variables can be displayed by using different shapes and/or colors for the points.

A bubble chart is a scatter chart that uses circles with different radii to display an additional variable. It's also common to overlap scatter charts with other charts, such as line and bar charts, as to emphasize patterns and compare raw data with estimates, such as trendlines (best-fit).

Creating a scatter chart

The type property should be scatter. Scatter charts support the same properties as line charts, but instead of an array of numbers, the data property...