Introduction to R Shiny

What Shiny does, how it fits into the R ecosystem, and common use cases (apps, dashboards, internal tools, data products)

Differences between static R outputs (plots, reports) and interactive Shiny applications

The roles of ui and server components

How shinyApp() brings the UI and server together

File structures for a multi-file Shiny app

Using layout functions such as fluidPage(), sidebarLayout(), sidebarPanel(), and mainPanel()

Organising content with rows, columns, tabs, and panels

Adding titles, text, and spacing for clean, readable app design

Common inputs (sliders, dropdowns, text inputs, buttons, checkboxes)

Displaying outputs such as plots, tables, and text

Connecting inputs to outputs through the server logic

What reactivity is and why it matters in interactive apps

How Shiny automatically updates outputs when inputs change

Combining UI layouts, inputs, outputs, and reactivity into a functional application

Running and testing apps locally

Leave with a foundation app, ready to learn more advanced content to build upon.

Understanding next steps, such as theming, modules, and deployment options