Specifically, you’ll learn how you can use Shiny to ‘listen’ for certain inputs, and how they are connected to outputs displayed in your app.

The concept and practice of ‘reactive programming’, as implemented by Shiny applications.

The key layouts and design principles of the Shiny UI.

How to create a basic interactive Shiny application.

In the lesson, you will design and implement a simple application, consisting of a slider which allows a user to select a date range, which will then trigger some code in R, and display a set of corresponding points on an interactive map.

Its purpose is to facilitate the development of web applications, which allow a user to interact with R code using User Interface (UI) elements in a web browser, such as sliders, drop-down menus, and so forth. Shiny is a library (a set of additional functions) for the programming language R. This lesson demonstrates how to build a basic interactive web application using Shiny. Draw Points using the Reactive Dataframe.Create the reactive for the Leaflet map.Put the leafletOutput in the mainPanel Element.Add a ‘Widget’: the sliderInput Control.Setting up your Coding Environment and Creating the Shiny Application.

Advantages and Disadvantages of Using Shiny.Graphical User Interfaces and the Digital Humanities.First, you need to add menuItems to the sidebar, with appropriate tabNames. There are two parts that need to be done. These function similarly to Shiny’s tabPanels: when you click on one menu item, it shows a different set of content in the main body. For this example we’ll add menu items that behave like tabs.

Shiny rstudio tutorial