Loading message for slow downloadhandler()
I would like to ask if there is a way to display a loading message before the file is finally downloaded in my shiny app. My original dataset is big and I guess this is the reason for this delay. Below I attach a toy example in case someone can apply the reuested solution on this.
#ui.r
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
r shiny
add a comment |
I would like to ask if there is a way to display a loading message before the file is finally downloaded in my shiny app. My original dataset is big and I guess this is the reason for this delay. Below I attach a toy example in case someone can apply the reuested solution on this.
#ui.r
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
r shiny
add a comment |
I would like to ask if there is a way to display a loading message before the file is finally downloaded in my shiny app. My original dataset is big and I guess this is the reason for this delay. Below I attach a toy example in case someone can apply the reuested solution on this.
#ui.r
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
r shiny
I would like to ask if there is a way to display a loading message before the file is finally downloaded in my shiny app. My original dataset is big and I guess this is the reason for this delay. Below I attach a toy example in case someone can apply the reuested solution on this.
#ui.r
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
r shiny
r shiny
asked Jan 20 at 15:22
firmo23firmo23
818414
818414
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
I have implemented a solution based on your code. What you need to do is add a progress bar inside your downloadhandler()
.
library(shiny)
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
shiny::withProgress(
message = paste0("Downloading", input$dataset, " Data"),
value = 0,
{
shiny::incProgress(1/10)
Sys.sleep(1)
shiny::incProgress(5/10)
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
)
}
shiny::shinyApp(ui = ui, server = server)
You can tailor this solution to your requirements (customize message, add loop etc). I hope this helps :-)
sure great answer
– firmo23
Jan 21 at 13:56
add a comment |
Your Answer
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I have implemented a solution based on your code. What you need to do is add a progress bar inside your downloadhandler()
.
library(shiny)
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
shiny::withProgress(
message = paste0("Downloading", input$dataset, " Data"),
value = 0,
{
shiny::incProgress(1/10)
Sys.sleep(1)
shiny::incProgress(5/10)
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
)
}
shiny::shinyApp(ui = ui, server = server)
You can tailor this solution to your requirements (customize message, add loop etc). I hope this helps :-)
sure great answer
– firmo23
Jan 21 at 13:56
add a comment |
I have implemented a solution based on your code. What you need to do is add a progress bar inside your downloadhandler()
.
library(shiny)
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
shiny::withProgress(
message = paste0("Downloading", input$dataset, " Data"),
value = 0,
{
shiny::incProgress(1/10)
Sys.sleep(1)
shiny::incProgress(5/10)
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
)
}
shiny::shinyApp(ui = ui, server = server)
You can tailor this solution to your requirements (customize message, add loop etc). I hope this helps :-)
sure great answer
– firmo23
Jan 21 at 13:56
add a comment |
I have implemented a solution based on your code. What you need to do is add a progress bar inside your downloadhandler()
.
library(shiny)
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
shiny::withProgress(
message = paste0("Downloading", input$dataset, " Data"),
value = 0,
{
shiny::incProgress(1/10)
Sys.sleep(1)
shiny::incProgress(5/10)
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
)
}
shiny::shinyApp(ui = ui, server = server)
You can tailor this solution to your requirements (customize message, add loop etc). I hope this helps :-)
I have implemented a solution based on your code. What you need to do is add a progress bar inside your downloadhandler()
.
library(shiny)
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
#server.r
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
shiny::withProgress(
message = paste0("Downloading", input$dataset, " Data"),
value = 0,
{
shiny::incProgress(1/10)
Sys.sleep(1)
shiny::incProgress(5/10)
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
)
}
shiny::shinyApp(ui = ui, server = server)
You can tailor this solution to your requirements (customize message, add loop etc). I hope this helps :-)
answered Jan 21 at 13:48
RickTasticRickTastic
486
486
sure great answer
– firmo23
Jan 21 at 13:56
add a comment |
sure great answer
– firmo23
Jan 21 at 13:56
sure great answer
– firmo23
Jan 21 at 13:56
sure great answer
– firmo23
Jan 21 at 13:56
add a comment |
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