Learn Chart.js: Create interactive visualizations for the Web with Chart.js 2

Learn Chart.js: Create interactive visualizations for the Web with Chart.js 2
Learn Chart.js: Create interactive visualizations for the Web with Chart.js 2 by Helder da Rocha
English | 2019 | ISBN: 1789342482 | 284 Pages | EPUB | 10 MB

Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.js data visualization library.
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.
What you will learn

  • Learn how to create interactive and responsive data visualizations using Chart.js
  • Learn how to create Canvas-based graphics without Canvas programming
  • Create composite charts and configure animated data updates and transitions
  • Efficiently display quantitative information using bar and line charts, scatterplots, and pie charts
  • Learn how to load, parse, and filter external files in JSON and CSV formats
  • Understand the benefits of using a data visualization framework