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Learn Chart.js

Learn Chart.js

By : Helder da Rocha
4 (2)
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Learn Chart.js

Learn Chart.js

4 (2)
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 (9 chapters)
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What this book covers

Chapter 1, Introduction, introduces Chart.js and explains the basic concepts.

Chapter 2, Technology Fundamentals, explains the various fundamentals and setups needed for Chart.js

Chapter 3, Chart.js - Quick Start, provides a quick start to creating web-based data visualizations with Chart.js. It will show you how to set up the library and configure a basic web page on which you can place a chart. We will walk through a complete step-by-step example, describing how to create a bar chart and configure it with labels, tooltips, titles, interactions, colors, animations, and more.

Chapter 4, Creating Charts, 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.

Chapter 5, Scales and Grid Configuration, explains how to configure the look and feel of a chart so it reflects a desired layout or style, follow good practices of chart design, and tune its interactive and responsive behavior.

Chapter 6, Configuring Styles and Interactivity, explores configuration topics that you won't use as frequently and that may require additional coding, extensions, and integration with other libraries, such as tooltip behavior configuration, label generation, scripting, creating mixed charts, creating plugins, using the Chart.js API, and using HTML Canvas with Chart.js.

Chapter 7, Advanced Chart.js, will explore fonts, padding, axes, screen resizing, and responsiveness.

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