Optimizing Shiny Apps for Performance
Learn techniques for improving the performance and user experience of your R Shiny applications.
RShinyPerformanceWeb Development
Introduction
Performance optimization is crucial for creating responsive Shiny applications. This guide covers key strategies for improving app performance.
Reactive Programming
R
# Use reactive expressions for computation caching
server <- function(input, output) {
# Cached computation
filtered_data <- reactive({
req(input$filter)
dplyr::filter(data, category == input$filter)
})
# Use cached result
output$plot <- renderPlot({
ggplot(filtered_data(), aes(x, y)) +
geom_point()
})
}Memory Management
Discover techniques for efficient memory usage and data handling in Shiny apps.