A rich ecosystem of extension packages for more custom widgets, input validation, unit testing, and more.(Don’t worry if you don’t have a shiny app yet. First, open up an Rstudio Session and chatgpt I have them stacked sideways here. Let’s have some fun Step 1: Open Up Rstudio & Chatgpt.
Time to build a shiny app with AI assistance from chatgpt.
An ability to bookmark application state and/or generate code to reproduce output(s). Tutorial: How to Make a Shiny App in 10 Minutes with ChatGPT. Modules: a framework for reducing code duplication and complexity. Tools for improving and monitoring performance, including native support for async programming, caching, load testing, and more. Seamless integration with R Markdown, making it easy to embed numerous applications natively within a larger dynamic document. An attractive default look based on Bootstrap which can also be easily customized with the bslib package or avoided entirely with more direct R bindings to HTML/CSS/JavaScript. A prebuilt set of highly sophisticated, customizable, and easy-to-use widgets (e.g., plots, tables, sliders, dropdowns, date pickers, and more). Compared to event-based programming, reactivity allows Shiny to do the minimum amount of work when input(s) change, and allows humans to more easily reason about complex MVC logic. An intuitive and extensible reactive programming model which makes it easy to transform existing R code into a “live app” where outputs automatically react to new user input.
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