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October 10, 2025 14:27
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Aplicación Shiny que muestra/oculta elementos según los datos de la app
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| library(shiny) | |
| library(bslib) | |
| library(shinyjs) | |
| library(dplyr) | |
| library(ggplot2) | |
| library(thematic) | |
| thematic_shiny() | |
| ui <- page_fluid( | |
| theme = bs_theme(bg = "#EAD1FA", | |
| fg = "#553A74", | |
| primary = "#8557AB"), | |
| # activar javascript | |
| useShinyjs(), | |
| h1("Mostrar/ocultar"), | |
| sliderInput("filtro", | |
| "Filtrar", | |
| min = 5, | |
| max = 10, | |
| value = 1), | |
| # contenedor con el elemento a mostrar u ocultar | |
| div(id = "grafico", | |
| plotOutput("grafico_barras", width = 320, height = 200) | |
| ), | |
| # otro contenedor con un aviso para mostrar | |
| div(id = "aviso", | |
| p(em("No hay datos para mostrar!")) | |
| ) | |
| ) | |
| server <- function(input, output, session) { | |
| datos <- reactive({ | |
| iris |> | |
| filter(Sepal.Length >= input$filtro) | |
| }) | |
| # generar un gráfico de barras | |
| output$grafico_barras <- renderPlot({ | |
| datos() |> | |
| ggplot() + | |
| aes(Sepal.Length, Sepal.Width) + | |
| geom_point() | |
| }) | |
| # mostrar y ocultar elementos en base a los datos | |
| observe({ | |
| if(nrow(datos()) == 0) { | |
| hide("grafico") | |
| show("aviso") | |
| } else { | |
| show("grafico") | |
| hide("aviso") | |
| } | |
| }) | |
| } | |
| shinyApp(ui, server) |
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