Unless you have a very small or static dataset, it will usually not be embedded in your web page. You will probably use an asynchronous request to load it from a separate file after your HTML page is already loaded and then parse it. This section covers topics related to loading and parsing external files.
Learn Chart.js
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Learn Chart.js
By:
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 (9 chapters)
Preface
Free Chapter
Introduction
Technology Fundamentals
Chart.js - Quick Start
Creating Charts
Scales and Grid Configuration
Configuring Styles and Interactivity
Advanced Chart.js
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