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Learn Chart.js

By : Helder da Rocha

4 (2)

Buy this Book

Learn Chart.js

4 (2)

By: Helder da Rocha

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

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Free Chapter

Introduction

Data visualization

Why use a data visualization library?

How to use this book

Summary

References

Technology Fundamentals

Essential JavaScript for Chart.js

Other technologies

Data formats

Loading and parsing external data files

Extracting and transforming data

Summary

Chart.js - Quick Start

Introduction to Chart.js

Creating a simple bar chart

Creating a bar chart

Configuring colors, fonts, and responsiveness

Options configuration

Global defaults

Transitions, interactions, and tooltips

Updating charts

Working with larger and multiple datasets

Horizontal bar chart

Stacking bars

Summary

References

Creating Charts

Line and area charts

Stacked area charts

Radar charts

Pie and doughnut charts

Polar area charts

Scatter and bubble charts

Summary

References

Scales and Grid Configuration

Configuring scales

Cartesian configuration options

Cartesian axes, ticks, and grid lines

Numeric Cartesian scales

Category scales

Time scales

Radial scales

Configuring advanced scales

Summary

References

Configuring Styles and Interactivity

Default configuration

Fonts

Colors, gradients, patterns, and shadows

Gradients

Patterns

Shadows and bevels

Adding text elements and labels

Titles

Events

Summary

References

Advanced Chart.js

Tooltip configuration

Hovering interactions

Scriptable properties

Custom HTML tooltips

HTML legends

Displaying multiple charts

Mixed charts

Extending Chart.js

Creating plugins

Chart.js extensions

Summary

References

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Summary

This chapter provided a refresher on several fundamental technology concepts that will help you create visualizations with Chart.js. Even though Chart.js tries to hide all the underlying complexity from you, it is still a JavaScript library and basic knowledge of JavaScript, DOM, and CSS are important.

This chapter also described the main data formats used for statistical data: CSV, XML, and JSON. It also described how to load external files in these formats and how to parse them. Additionally, you learned some ways to obtain data not in these formats by extracting it from HTML pages.

In the next chapter, we will begin using Chart.js to create data visualizations.

Tech Concepts

Programming languages

Tech Tools