# We'll save it in a variable `ui` so that we can preview it in the console
ui <- dashboardPage(
dashboardHeader(title = "Row layout"),
dashboardSidebar(),
dashboardBody()
)
server <- function(input, output) {
driver.csv <- read.csv("E:/RMARKDOWN/driver.csv.csv", fileEncoding = "UTF-8")
New_DataSet1<-data.frame(driver.csv$ï..Year_AG,driver.csv$Severity_Desc,driver.csv$Injury.Type)
New_DataSet1
latest <- New_DataSet1[1:100,]
latest
d <- aggregate(latest$driver.csv.Injury.Type, by=list(chkID = latest$driver.csv.Severity_Desc), FUN=sum)
#barplot(d)
renderplot(d$x)
#barplot(d$x, xlab = d$chkID)
# barplot(d$x, names.arg = d$chkID)
}
shinyApp(ui,server)
You may need to look at the Shiny gallery to understand the basic structure of a shiny app.
You can also look at this example to start.
# Global variables can go here
n <- 200
# Define the UI
ui <- bootstrapPage(
numericInput('n', 'Number of obs', n),
plotOutput('plot')
)
# Define the server code
server <- function(input, output) {
output$plot <- renderPlot({
hist(runif(input$n))
})
}
# Return a Shiny app object
shinyApp(ui = ui, server = server)
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