Reputation: 451
I am trying to develop a application, where the user can upload the file and prepare the file.
Therefore, I designed the dashboard with 2 sub menu items called Load and Prepare as you could see below.
In the first tab, I am trying to upload the file by the user.
In the second tab, Prepare I wanted to display the column names from the file selected by the user. for examples, if my data frame has column names (ID,Date,Accepeted,Rejected), then I want them to be listed in the prep tab.
Once listed, User should be able to select the datatype he wants.
Below is the snapshot of the dashboard I have created.
Here is the UI code :
ui<-dashboardPage(
dashboardHeader(title = "Model"),
dashboardSidebar(
sidebarMenu(id="tabs",
menuItem("Data", tabName = "data", icon = icon("table"),startExpanded = TRUE,
menuSubItem("Load", tabName = "data1"),
menuSubItem("Prep", tabName = "prep")
),
menuItem("Visualisation",icon=icon("bar-chart-o"), tabName = "vis"),
menuItem("Result", icon=icon("cog"), tabName = "result")
)
),
dashboardBody(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
tabItems(
tabItem(tabName = "data1",
fluidPage(
fluidRow(
fileInput("file1","Choose CSV File",
accept = c("text/csv",
"text/comma-seperated-values, text/plain",
".csv")
),
tags$hr(),
checkboxInput("header", "Header", TRUE),
radioButtons("sep","Separator",
choices=c(Comma=",",
semicolon=";",
Tab="\t"),
selected = ";")
),
mainPanel(
uiOutput("tb")
)
)),
#--------Sub menu Item 2-----------
tabItem(tabName = "prep",
h1("Preprocessing"),
fluidPage(
fluidRow(
uiOutput("loaded_tb"),
selectInput('data_option','Select Option',
label="Select the Variable",
list(
"Variable Attributes"="var_attr",
"Data Summary ='data_summary"
))
),
radioButtons("class_selection", label="Variables Modeification",
choices = list(Numeric="numeric",Factor="factor",
Character ="character",
Date="date"),
selected = "numeric"),
selectInput('date_format', "Select the Date Format",
list(
YMD ="ymd",
YDM ="ydm",
MYD ="myd",
DMY ="dmy",
DYM ="dym"
)),
tags$h5("Date Preview"),
verbatimTextOutput('date_preview'),
actionButton("var_modify", "Modify")
),
mainPanel(
uiOutput("Pre")
)
))
)
)
Here is the server code:
server <- shinyServer(function(input,output){
data <- reactive({
file1 <- input$file1
if(is.null(file1)){return()}
read.csv(file = file1$datapath, sep=input$sep)
})
output$filedf <- renderTable({
if(is.null(data())){return()}
input$file1
})
output$sum <- renderTable({
if(is.null(data())){return()}
summary(data())
})
output$table <- renderTable({
if(is.null(data())){return()}
data()
})
output$tb <- renderUI({
if(is.null(data())){return()}
tabsetPanel(tabPanel("About file", tableOutput("filedf")),tabPanel("Data", tableOutput("table")),tabPanel("Summary", tableOutput("sum")))
})
#----- Data Preparation------
output$Pre <- renderUI({checkboxGroupInput(inputId = "select_vars",
choices = names(data))
})
data_sel <- reactive({
req(input$select_vars)
data_sel<- data()%>% select(input$select_var)
})
})
shinyApp(ui,server)
Upvotes: 1
Views: 852
Reputation: 2995
It's not quite an answer, since we don't understand what you really want to do. But here's a couple of tips that could help you move on hopefully.
data()
Do not use data
as a variable name. Checking if data()
is null or using names(data())
can result in bad surprises.
As suggested by @Florian, in case you want to directly edit your data, you could use reactiveValues
. A nice answer has been posted here, and below is the relevant piece of code for your case.
values <- reactiveValues(df_data = NULL)
observeEvent(input$file1, {
values$df_data <- read.csv(input$file1$datapath, sep = input$sep)
})
Now instead of using data()
to retrieve the data frame, you will have to use values$df_data
instead.
You made good use of renderUI
, since you want your input selectors to depend on your data variables, except that your uiOutput
are never linked to your uploaded file variables. Here's a way to edit your uiOutput
for the variable selectors.
output$Pre <- renderUI({
checkboxGroupInput(inputId = "select_vars",
label = "foo",
selected = names(values$df_data),
choices = names(values$df_data))
})
output$ui_data_option <- renderUI({
selectInput('data_option',
choices = names(values$df_data),
label = "Select the Variable")
})
Hope this helps you a little.
Upvotes: 1