Learn Chart.js: Create interactive visualizations for the Web with Chart.js 2 Helder da Rocha Author

Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.js data visualization library.Key FeaturesHarness the power of JavaScript, HTML, and CSS to create interactive visualizationsDisplay quantitative information efficiently in the form of attractive charts by using Chart.js A practical guide for creating data-driven applications using open-source JavaScript libraryBook DescriptionChart.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 learnLearn how to create interactive and responsive data visualizations using Chart.jsLearn how to create Canvas-based graphics without Canvas programmingCreate composite charts and configure animated data updates and transitionsEfficiently display quantitative information using bar and line charts, scatterplots, and pie chartsLearn how to load, parse, and filter external files in JSON and CSV formatsUnderstand the benefits of using a data visualization frameworkWho this book is forThe ideal target audience of this book includes web developers and designers, data journalists, data scientists and artists who wish to create interactive data visualizations for the Web. Basic knowledge of HTML, CSS, and JavaScript is required. No Canvas knowledge is necessary.Helder da Rocha has taught, written, and developed applications with Java and web technologies since 1995. In 1996 he wrote one of the first books in Portuguese about HTML and JavaScript. Since then he has created hundreds of presentations, tutorials, and course materials on Java, Java EE, programming tools, patterns, techniques, methodologies, HTML, CSS, JavaScript, SVG, XML, data visualization, Arduino, and Internet of Things. He holds a master’s degree in computer science. He also has a background in the visual arts and design and has some of his artwork in permanent museum exhibits. He lives in São Paulo, Brazil, where he works as an independent consultant, developer, and instructor, and is a frequent speaker at technological events.