Salah satu keunggulan yang dimiliki
R adalah Shiny(Python tidak memiliki). Shiny adalah paket R yang membuatnya
mudah untuk membangun aplikasi web interaktif langsung dari R. Dasbor sangat
populer karena bagus dalam membantu bisnis
menampilkan insights out (wawasan), dari data yang ada.
require(shiny)
require(shinydashboard)
header <- dashboardHeader(title = "my heading")
sidebar <- dashboardSidebar(uiOutput("sidebarpanel"))
body <- dashboardBody(uiOutput("body"))
server <- function(input, output, session) {
# To logout back to login page
login.page = paste(
isolate(session$clientData$url_protocol),
"//",
isolate(session$clientData$url_hostname),
":",
isolate(session$clientData$url_port),
sep = ""
)
histdata <- rnorm(500)
USER <- reactiveValues(Logged = F)
observe({
if (USER$Logged == FALSE) {
if (!is.null(input$Login)) {
if (input$Login > 0) {
Username <- isolate(input$userName)
Password <- isolate(input$passwd)
Id.username <- which(login_details$user %in% Username)
Id.password <- which(login_details$pswd %in% Password)
if (length(Id.username) > 0 & length(Id.password) > 0){
if (Id.username == Id.password) {
USER$Logged <- TRUE
}
}
}
}
}
})
output$sidebarpanel <- renderUI({
if (USER$Logged == TRUE) {
div(
sidebarUserPanel(
isolate(input$userName),
subtitle = a(icon("usr"), "Logout", href = login.page)
),
selectInput(
"in_var",
"myvar",
multiple = FALSE,
choices = c("option 1", "option 2")
),
sidebarMenu(
menuItem(
"Item 1",
tabName = "t_item1",
icon = icon("line-chart")
),
menuItem("Item 2",
tabName = "t_item2",
icon = icon("dollar"))
)
)
}
})
output$body <- renderUI({
if (USER$Logged == TRUE) {
tabItems(
# First tab content
tabItem(tabName = "t_item1",
fluidRow(
output$plot1 <- renderPlot({
data <- histdata[seq_len(input$slider)]
hist(data)
}, height = 300, width = 300) ,
box(
title = "Controls",
sliderInput("slider", "observations:", 1, 100, 50)
)
)),
# Second tab content
tabItem(
tabName = "t_item2",
fluidRow(
output$table1 <- renderDataTable({
iris
}),
box(
title = "Controls",
sliderInput("slider", "observations:", 1, 100, 50)
)
)
)
)
} else {
login
}
})
}
require(shinydashboard)
header <- dashboardHeader(title = "my heading")
sidebar <- dashboardSidebar(uiOutput("sidebarpanel"))
body <- dashboardBody(uiOutput("body"))
server <- function(input, output, session) {
# To logout back to login page
login.page = paste(
isolate(session$clientData$url_protocol),
"//",
isolate(session$clientData$url_hostname),
":",
isolate(session$clientData$url_port),
sep = ""
)
histdata <- rnorm(500)
USER <- reactiveValues(Logged = F)
observe({
if (USER$Logged == FALSE) {
if (!is.null(input$Login)) {
if (input$Login > 0) {
Username <- isolate(input$userName)
Password <- isolate(input$passwd)
Id.username <- which(login_details$user %in% Username)
Id.password <- which(login_details$pswd %in% Password)
if (length(Id.username) > 0 & length(Id.password) > 0){
if (Id.username == Id.password) {
USER$Logged <- TRUE
}
}
}
}
}
})
output$sidebarpanel <- renderUI({
if (USER$Logged == TRUE) {
div(
sidebarUserPanel(
isolate(input$userName),
subtitle = a(icon("usr"), "Logout", href = login.page)
),
selectInput(
"in_var",
"myvar",
multiple = FALSE,
choices = c("option 1", "option 2")
),
sidebarMenu(
menuItem(
"Item 1",
tabName = "t_item1",
icon = icon("line-chart")
),
menuItem("Item 2",
tabName = "t_item2",
icon = icon("dollar"))
)
)
}
})
output$body <- renderUI({
if (USER$Logged == TRUE) {
tabItems(
# First tab content
tabItem(tabName = "t_item1",
fluidRow(
output$plot1 <- renderPlot({
data <- histdata[seq_len(input$slider)]
hist(data)
}, height = 300, width = 300) ,
box(
title = "Controls",
sliderInput("slider", "observations:", 1, 100, 50)
)
)),
# Second tab content
tabItem(
tabName = "t_item2",
fluidRow(
output$table1 <- renderDataTable({
iris
}),
box(
title = "Controls",
sliderInput("slider", "observations:", 1, 100, 50)
)
)
)
)
} else {
login
}
})
}
Dasbor R Shiny canggih membutuhkan otentikasi
pengguna. Saya ingin berbagi dengan Anda bagaimana kami menerapkan manajemen
pengguna - akun pengguna, proses otorisasi dan mengumpulkan statistik
penggunaan untuk memiliki pemahaman yang lebih baik tentang bagaimana
penggunaan aplikasi R Shiny.
require(shiny)
require(shinydashboard)
ui <- dashboardPage(header, sidebar, body)
#server.r
login_details <- data.frame(user = c("sam", "pam", "ron", "jon", "cyn"),
pswd = c("111", "222", "333", "444", "555"))
login <- box(
title = "Login",
textInput("userName", "Username"),
passwordInput("passwd", "Password"),
br(),
actionButton("Login", "Log in")
)
require(shinydashboard)
ui <- dashboardPage(header, sidebar, body)
#server.r
login_details <- data.frame(user = c("sam", "pam", "ron", "jon", "cyn"),
pswd = c("111", "222", "333", "444", "555"))
login <- box(
title = "Login",
textInput("userName", "Username"),
passwordInput("passwd", "Password"),
br(),
actionButton("Login", "Log in")
)
Ini
adalah demo sederhana dengan pengguna yang ditentukan dalam daftar. Dalam
skenario dunia nyata, Anda akan menyimpan kredensial pengguna di database atau
mengotentikasi pengguna dengan API eksternal. Ini juga tercakup dalam pengguna
Shiny application.
Referensi:
Shiny R Studio
Stack overflow
Referensi:
Shiny R Studio
Stack overflow
Tidak ada komentar:
Posting Komentar