Shiny is an R framework for building interactive web applications and dashboards directly from R, without requiring JavaScript or frontend development.
Core idea
Shiny allows you to:
- define a UI (user interface)
- define a server function (logic and computation)
- connect them through reactivity
Reactivity means outputs automatically update when inputs change.
What it enables
- Interactive dashboards (filters, sliders, selectors)
- Data exploration tools
- Real-time model outputs
- Internal tools for analysts or stakeholders
- Lightweight web apps for sharing analysis
Typical components
- Inputs → user controls (dropdowns, sliders, date ranges)
- Outputs → plots, tables, text
- Reactive expressions → computations that update automatically
Relation to tidyverse
- tidyverse → data preparation and transformation
- Shiny → presentation and interaction layer
They are often used together:
- tidyverse prepares and aggregates the data
- Shiny exposes it through an interactive interface
Conceptual view
Shiny acts as a wrapper around analytical workflows, turning static R analysis into interactive systems.
Comparison to Python ecosystem
R Shiny is similar to:
When to use Shiny
- You need to share analysis interactively without building a full web app
- Stakeholders need self-service exploration
- You want a fast path from analysis → dashboard
Free hosting options
1. Local (development)
- Runs on your machine
- Access via browser (
localhost) - Not shareable externally
2. shinyapps.io (free tier)
- Managed hosting platform by Posit
- Deploy directly from RStudio
- No infrastructure required
Characteristics:
- Public URL for sharing
- Limited compute and usage hours
- Apps may sleep when inactive
Conceptual summary
Shiny provides a lightweight path from R analysis to interactive dashboards, and the free tier (shinyapps.io) allows simple deployment and sharing via a public URL without managing infrastructure.