This book is designed to take you from knowing nothing about Shiny to being an expert developer who can write large complex apps that are still maintainable and performant. It’s used by Silicon Valley tech companies to set up realtime metrics dashboards that incorporate advanced analytics. It’s used by big pharma companies to speed collaboration between scientists and analysts during drug development. It’s used in academia as a teaching tool for statistical concepts, a way to get undergrads excited about learning to write code, a splashy medium for showing off novel statistical methods or models. Today, Shiny is used in almost as many niches and industries as R itself is. Shiny is designed to feel almost magically easy when you’re getting started, and yet the deeper you get into how it works, the more you realize it’s built out of general building blocks that have strong software engineering principles behind them. On the other hand, Shiny doesn’t limit you to creating trivial or prefabricated apps: its user interface components can be easily customized or extended, and its server uses reactive programming to let you create any type of back end logic you want. It is designed primarily with data scientists in mind, and to that end, you can create pretty complicated Shiny apps with no knowledge of HTML, CSS, or JavaScript. Shiny is a framework for creating web applications using R code. This is the online version of Mastering Shiny, a book currently under early development and intended for a late 2020 release by O’Reilly Media.
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