I apologize for a very novice question.
I'm learning to use R shiny dashboard to display live infographics of polls performed through google forms.
This is the trial form: https://forms.gle/pixQ2pui5Qmgh9A4A
And this is the url that may be used to extract the .csv output of its responses:
https://docs.google.com/spreadsheets/d/1yS1l3Scvw98ueg5ZZe4021a3y5gMqe6FOP-ZrQIvHBo/export?format=csv&id=1yS1l3Scvw98ueg5ZZe4021a3y5gMqe6FOP-ZrQIvHBo&gid=1120079968
I understand that the reactiveFileReader() function should update the data continuously, but this does not seem to work, and the plot does not get updated unless the page is refreshed manually. How can the data be made to update itself continuously instead?
Thanks all!
library(shiny)
library(shinydashboard)
ui <- shinyUI(
dashboardPage(
dashboardHeader(title = "Data streaming"),
dashboardSidebar(
menuItem("Plot")
),
dashboardBody(
fluidRow(
box(plotOutput("histogram"))
)
)
)
)
server <-
shinyServer(function(input, output, session){
form.url = "https://docs.google.com/spreadsheets/d/1yS1l3Scvw98ueg5ZZe4021a3y5gMqe6FOP-ZrQIvHBo/export?format=csv&id=1yS1l3Scvw98ueg5ZZe4021a3y5gMqe6FOP-ZrQIvHBo&gid=1120079968"
dat <- reactiveFileReader(1000,
session,
filePath=form.url,
readFunc = function(filePath) {
read.csv(url(filePath))
})
output$histogram <- renderPlot({
hist(dat()$N, cex.main="", xlab="Poll", breaks=5)
})
})
shinyApp(ui, server)
formr is a free solution to live poll visualisation with R. They can host your polls but you can also host your own.
Related
I'm trying to plot the outcomes of EDA on to Shiny App, I have been using DataExplorer library for the same and i'm able to perform operations on rmarkdown notebook. I was thinking to integrate the plots to shiny app using the below code but i'm running into errors,Can you please assist me in this regard and also suggest me if there is a way possible to achieve this.
UI part
library(shiny)
library(DataExplorer)
fluidRow(width=12,
column(12,plotOutput("struct"))
)
Server block
df<-read.csv("/path/to/csv/file.csv")
output$struct<-renderPlot({
req(df)
plot_str(df)
})
Thanks for the help in advance
DataExplorer::plot_str by default prints a networkD3::diagonalNetwork, however, it returns a list.
If you want to render the diagonalNetwork object in shiny you'll need to use networkD3::renderDiagonalNetwork. Please check the following:
library(shiny)
library(DataExplorer)
library(datasets)
library(networkD3)
# DF <- read.csv("/path/to/csv/file.csv")
DF <- mtcars
ui <- fluidPage(
fluidRow(column(12, diagonalNetworkOutput("struct")))
)
server <- function(input, output, session) {
output$struct <- renderDiagonalNetwork({
req(DF)
diagonalNetwork(plot_str(DF, print_network = FALSE))
})
}
shinyApp(ui, server)
I have followed previous posts regarding embedding MP4 files into Shiny.
Here is what I have:
library(shiny)
ui <- shinyUI(fluidPage(
tags$video(id="video2", type = "video/mp4",src = "slide1a.mp4",controls = "controls")
)
)
server <- shinyServer(function(input, output, session) {
}
)
shinyApp(ui, server)
I have the file "slide4a.mp4" in the www folder.
When I run it, the controls appear but nothing else.
Any help much appreciated.
Sincerely,
Erin
I am finally trying to make a Shiny app. I am trying to upload a .xlsx file to the app, and then apply some analysis and download the output as a separate .xlsx file. The code for analysis and taking output works when run directly outside Shiny and I use it on daily, so I am simply trying to call it via source and save the duplicated work. Here is what I am trying with Shiny.
I was having problems in calling the file from the W2S.R script, while avoiding errors. I found a way to avoid the errors. The below code is a barebones model of that. However, now I cannot get the actual input to work (Output works fine, one table output on-screen and one XLSX output off-screen).
I am using W2S <- input$W2S1 inside W2S.R script, but it is not recognising the variable input, which it does if used in the server function directly. How do I get it to work inside the script? Or is there any other workaround?
library(shiny)
ui <- fluidPage(
titlePanel(h1("Goods In Transit Analysis", align="center")),
sidebarLayout(
sidebarPanel(
fileInput("W2S1", label="Select GIT W2S file")
),
mainPanel(
tableOutput("contents")
)
)
)
server <- function(input, output) {
output$contents <- renderTable(if(is.null(input$W2S1)){return(NULL)}
else{source("./W2S.R")})
}
shinyApp(ui = ui, server = server)
I will update once I get the input to work. Please help.
EDIT: Made some progress, as noted above. So updated the new code.
Finally nailed it. I needed an observe function and use the $datapath argument.
library(shiny)
ui <- fluidPage(
# Application title
titlePanel(h1("Goods In Transit Analysis", align="center")),
# Sidebar iputs
sidebarLayout(
sidebarPanel(
fileInput(inputId="W2S", label="Select GIT W2S file")
),
# On Screen output
mainPanel(
h3(textOutput("filePath")),
tableOutput("contents")
)
)
)
# Underlining code for output
server <- function(input, output) {
observe({
source("./Code/W2S.R")
W2S <- input$W2S
output$contents <- renderTable(if(is.null(W2S)){return(NULL)}
else{W2S_F(W2S$datapath)})
})
}
# Run the application
shinyApp(ui = ui, server = server)
I want to create a shiny application that has an input for writing some R function or Command, reads it through the ui.R then passes it to the server.R that executes that R command to display the results.
I spent hours searching about some example but couldn't find anything, I already know how to create Shiny apps using ui and server and pass the input values to server and work with them, but I have no idea if it's possible to create a shiny app like R where you can write the commands and return the results, any example or help would be appreciated.
Letting users run code in your app is bad practice, since it comes with great security risks. However, for development you might want to check this function from the shinyjs package by Dean Attali.
Example from the link:
library(shiny)
library(shinyjs)
shinyApp(
ui = fluidPage(
useShinyjs(), # Set up shinyjs
runcodeUI(code = "shinyjs::alert('Hello!')")
),
server = function(input, output) {
runcodeServer()
}
)
Some examples of why it is not such a good idea to include when deploying your app:
Try the input:
shinyjs::alert(ls(globalenv()))
or
shinyjs::alert(list.files())
I was able to find an alternative solution that doesn't require shinyjs -- wanted to restate Florian's concern that in general it is not a good thing (not secure) to let users run code in your Shiny app. Here is the alternative:
library(shiny)
library(dplyr)
ui <- fluidPage(
mainPanel(
h3("Data (mtcars): "), verbatimTextOutput("displayData"),
textInput("testcode", "Try filtering the dataset in different ways: ",
"mtcars %>% filter(cyl>6)", width="600px"),
h3("Results: "), verbatimTextOutput("codeResults"))
)
server <- function(input, output) {
shinyEnv <- environment()
output$displayData <- renderPrint({ head(mtcars) }) # prepare head(mtcars) for display on the UI
# create codeInput variable to capture what the user entered; store results to codeResults
codeInput <- reactive({ input$testcode })
output$codeResults <- renderPrint({
eval(parse(text=codeInput()), envir=shinyEnv)
})
}
shinyApp(ui, server)
I'm trying to get a Shiny reactive UI running. It is getting quite complex (in terms of lines of code) so I thought refactoring was a good idea. To put it short, this is my server code:
require(ggplot2)
require(h2o)
shinyServer(function(input, output, session) {
#stop()
localH2o <<- h2o.init(nthreads = 3) #Global variable
source("BuilderServer.R", local = TRUE)[1]
source("ReviewerServer.R", local = TRUE)[1]
# CleanupFUnctions
session$onSessionEnded(function() {
rm(list=ls())
})
})
where I assumed source with local = TRUE was just like copy-paste the content of the R files. So they contain functions of the form output$functionName <- renderUI({code}). The ui code depends on these functions, most of them are reactive, the ui code looks like this:
shinyUI(navbarPage("Metamodel",
tabPanel("Build Custom Model",
fluidRow(
column(12,align="center",
uiOutput("BuilderUpTitle")
)
),
fluidRow(
column(3,
uiOutput("BuilderAxisSelector")
)
)
)
))
In this particular case, the "BuilderUpTitle" function looks like this:
output$BuilderUpTitle <- renderUI({
inFile <- input$BuilderInputFile
if(is.null(input$BuilderInputFile)){
fileInput("BuilderInputFile", "Upload a xlsx file")
} else {
#R Stuff done here with the file
textInput("text", label = h3("Model Title"), value = "Enter text...")
}
})
I wrote the code yesterday and it was working. Today I turned on the computer again, and when launching the app, not even the dependencies from the server.R appear to load (ggplot2 and h2o). The download button from the "BuilderUpTitle" function doesn't appear at all and shiny appears to only execute the ui.R code. I set the workspace to the folder of the sourcefiles and it doesn't help. Even if I uncomment the stop() function from the server, nothing seems to change. Setting breakpoints in RStudio doesn't stop the code inside the server, so that is why I think shiny is not calling the server function. However, the code was working before and I did not modify a single file. I even copied the content of the source files to the server.R code and still they do not load. Is there something obvious that I'm missing? Thank you in advance!
Ok, once again, I found myself what the problem is, and none of the things I said would've made anyone find what was wrong. Here is the tiniest possible code that reproduces the problem:
ui.R
shinyUI(fluidPage(
fluidRow(
uiOutput("itWillLock"),
uiOutput("itWillLock")
)
))
server.R
shinyServer(function(input, output) {
output$itWillLock <- renderUI({
sliderInput("slider","Slider",min=0,max=1,value=0)
})
})
I guess R gets stuck in an infinite loop and never reaches the server.R file. Is this a bug that I should report? Or just common sense will keep people out of this trouble. Thank you!