We have created an example to illustrate our best practices in shiny development. These are important because when a shiny app grows, the complexity of the code increases, and avoidable sources of error arise. Instead, here are INWT's Best Practices for developing robust and automatically-testable shiny dashboards. This blog article won't be another beginner tutorial.

shows an overview of sample apps for inspiration.presents articles that describe advanced functions and development opportunities.provides comprehensive material that is suitable as an entry into shiny app development.To get started, the following pages are useful: The large and active R community offers many tutorials for learning shiny. So, the use of shiny dashboards is attractive for companies of all sizes. Both simple and fast-to-develop applications, as well as complex interactive apps with custom CSS and Javascript elements, are possible to create. The popularity of shiny is based on its flexibility. In addition to the basic development features of R and shiny for dashboards, there are thousands of R packages serving this purpose - with users from a wide range of fields. With shiny you can create apps that act as a standalone web page, or interactive elements that can be included in reports. When developing software solutions with R, we at INWT use the shiny package by RStudio. Dashboards are an excellent interactive tool for visualizing raw data, aggregated information, and analytical results.

This blog article is dedicated to creating dashboards.

Shiny rstudio tutorial