R发光仪表板的堆叠条形图

时间:2018-09-19 01:09:34

标签: r shiny shinydashboard

如何为Shiny Dashboard制作堆栈条形图? 例如,我想要一个2016年的栏,其中包含应用程序数量,接受的应用程序数量和注册数量,但是所有这些值都放在一栏中-堆叠在一起。

this is my dataset

1 个答案:

答案 0 :(得分:0)

您可以使用ggplot2包与geom_bar(stat = "identity")创建堆叠的条形图。但是,要将wide data.frame格式转换为ggplot2要求的narrow格式,必须使用melt软件包的reshape2函数。

请在下面的代码中查看“闪亮的仪表板”环境中的条形图:

# load the required packages
library(shiny)
require(shinydashboard)
library(ggplot2)
library(dplyr)

df <- read.table(text = "
Enrolment Applications Accepted Students Enrolled 
                 3 2017 30 25 5 20 
                 2 2016 24 21 3 20 
                 1 2015 22 20 2 17") 


#Dashboard header carrying the title of the dashboard
header <- dashboardHeader(title = "Basic Dashboard")  

#Sidebar content of the dashboard
sidebar <- dashboardSidebar(
  sidebarMenu(
    menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard"))
    )
)


frow2 <- fluidRow(

  box(
    title = "Enrollement"
    ,status = "primary"
    ,solidHeader = TRUE 
    ,collapsible = TRUE 
    ,plotOutput("enrollement", height = "300px")
  )

)



# combine the two fluid rows to make the body
body <- dashboardBody(frow2)

#completing the ui part with dashboardPage
ui <- dashboardPage(title = 'This is my Page title', header, sidebar, body, skin='red')

# create the server functions for the dashboard  
server <- function(input, output) { 
  #creating the plotOutput content

  output$enrollement <- renderPlot({
    df$Enrolment <- factor(df$Enrolment)
    df$Not_Accepted <- df$Applications - df$Accepted
    df$Not_Enrolled <- df$Accepted - df$Enrolled
    df2 <- melt(df[, c("Enrolment", "Enrolled", "Not_Enrolled", "Not_Accepted")])

    ggplot(df2, aes(Enrolment, y = value, fill = variable)) +
      geom_bar(stat = "identity")
  })
}


shinyApp(ui, server)

输出:

shiny dashboard