1. Dashboards – Part Two
“I think, aesthetically, car design is so interesting - the dashboards, the steering wheels, and the beauty of the mechanics. I don't know how any of it works, I don't want to know, but it's inspirational.”
Paloma Picasso

2. Pick Up Where We Left
Today we will pick up where we left last time. More specifically, we will improve our dashboard illustrating the results (i.e., histogram) of the sentiment analysis we performed on Twitter. We will do so by adding content to our sidebar (table with text), by customizing our dashboard (color + infobox), by making it dynamic, and by adding a time series component!

3. Finally input @delta results to your dashboard (server)
library(shiny)
library(shinydashboard)
header <- dashboardHeader(title = on Twitter")
sidebar <- dashboardSidebar()
body <- dashboardBody(fluidRow(
box(plotOutput("plot1", height = 250)), box(
title = "Controls", sliderInput("Slider", "Number of Messages:", 1, 1500, 500))))
ui <- dashboardPage(header,sidebar,body)
server <- function(input, output) {
delta_scores <- score.sentiment(delta_text, pos.words, neg.words)
output$plot1 <- renderPlot({
delta <- delta_scores$score[seq_len(input$Slider)]
hist(delta) }) }
shinyApp(ui, server)

4. Finally input @delta results to your dashboard (server)

5. Add items to your sidebar
library(shiny)
library(shinydashboard)
header <- dashboardHeader(title = on Twitter")
sidebar <- dashboardSidebar(
sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Table", tabName = "sentiment", icon = icon("table")) )
body <- dashboardBody(fluidRow(
box(plotOutput("plot1", height = 250)), box(
title = "Controls", sliderInput("Slider", "Number of Messages:", 1, 1500, 500))))
ui <- dashboardPage(header,sidebar,body)
server <- function(input, output) {
delta_scores <- score.sentiment(delta_text, pos.words, neg.words)
output$plot1 <- renderPlot({
delta <- delta_scores$score[seq_len(input$Slider)]
hist(delta) }) }
shinyApp(ui, server)

6. Add items to your sidebar

7. Add table to your sidebar tab
library(shiny)
library(shinydashboard)
header <- dashboardHeader(title = on Twitter")
sidebar <- dashboardSidebar(sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Table", tabName = "sentiment", icon = icon("table")) ))
body <- dashboardBody(tabItems(
# First tab content
tabItem(tabName = "dashboard",
fluidRow(box(plotOutput("plot1", height = 250)),
box(title = "Controls", sliderInput("Slider", "Number of Messages:", 1, 1500, 500)))),
# Second tab content
tabItem(tabName = "sentiment", dataTableOutput("mytable") )))
ui <- dashboardPage(header,sidebar,body)
server <- function(input, output) {
delta_scores <- score.sentiment(delta_text, pos.words, neg.words)
output$plot1 <- renderPlot({
delta <- delta_scores$score[seq_len(input$Slider)]
hist(delta)
output$mytable <- renderDataTable({delta_scores})
}) }
shinyApp(ui, server)

8. Add items to your sidebar

9. Customizing dashboard
library(shiny)
library(shinydashboard)
header <- dashboardHeader(title = on Twitter")
sidebar <- dashboardSidebar(sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Table", tabName = "sentiment", icon = icon("table")) ))
body <- dashboardBody(tabItems(
# First tab content
tabItem(tabName = "dashboard",
fluidRow(box(title = "Histogram", status = "primary", solidHeader = TRUE, collapsible = TRUE,
plotOutput("plot1", height = 250)),
box(title = "Controls", status = "warning", solidHeader = TRUE, collapsible = TRUE, sliderInput("Slider", "Number of Messages:", 1, 1500, 500)))),
# Second tab content
tabItem(tabName = "sentiment", dataTableOutput("mytable") )))
ui <- dashboardPage(skin = "green", header,sidebar,body)
server <- function(input, output) {
delta_scores <- score.sentiment(delta_text, pos.words, neg.words)
output$plot1 <- renderPlot({
delta <- delta_scores$score[seq_len(input$Slider)]
hist(delta)
output$mytable <- renderDataTable({delta_scores})
}) }
shinyApp(ui, server)

10. Customize dashboard

11. Make it dynamic/add infobox
library(shiny)
library(shinydashboard)
library(quantmod)
header <- dashboardHeader(title = on Twitter")
sidebar <- dashboardSidebar(sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Table", tabName = "sentiment", icon = icon("table")) ,
menuItem("Stock", tabName = "stock", icon = icon("dollar")) ))
body <- dashboardBody(tabItems(
# First tab content
tabItem(tabName = "dashboard", fluidRow(box(title = "Histogram", status = "primary", solidHeader = TRUE, collapsible = TRUE, plotOutput("plot1", height = 250)), box(title = "Controls", status = "warning", solidHeader = TRUE, collapsible = TRUE, sliderInput("Slider", "Number of Messages:", 1, 1500, 500)))),
# Second tab content
tabItem(tabName = "sentiment", dataTableOutput("mytable")) ,
# Third tab content
tabItem(tabName = "stock", fluidRow(infoBox(title = "Latest", icon('dollar'), getQuote('DAL')$Last, color='red'), infoBoxOutput("deltaBox")) ) ))
ui <- dashboardPage(skin = "green", header,sidebar,body)
server <- function(input, output) {
delta_scores <- score.sentiment(delta_text, pos.words, neg.words)
output$plot1 <- renderPlot({
delta <- delta_scores$score[seq_len(input$Slider)]
hist(delta)
output$mytable <- renderDataTable({delta_scores})
output$deltaBox <- renderInfoBox({infoBox("Website", icon('plane'),
href = ' color='black')}) }) }
shinyApp(ui, server)

12. Make it dynamic/add infobox

13. Add times series library(shiny) library(shinydashboard)
library(quantmod)
library(dygraphs)
header <- dashboardHeader(title = on Twitter")
sidebar <- dashboardSidebar(sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Table", tabName = "sentiment", icon = icon("table")) ,
menuItem("Stock", tabName = "stock", icon = icon("dollar")) ))
body <- dashboardBody(tabItems(
# First tab content
tabItem(tabName = "dashboard",
fluidRow(box(title = "Histogram", status = "primary", solidHeader = TRUE, collapsible = TRUE,
plotOutput("plot1", height = 250)), box(title = "Controls", status = "warning", solidHeader = TRUE, collapsible = TRUE, sliderInput("Slider", "Number of Messages:", 1, 1500, 500)))),
# Second tab content
tabItem(tabName = "sentiment", dataTableOutput("mytable")) ,
# Third tab content
tabItem(tabName = "stock", fluidRow(infoBox(title = "Latest", icon('dollar'), getQuote('DAL')$Last, color='red'), infoBoxOutput("deltaBox"),
box(title = "Closing share price", width = 12, heigth = NULL, dygraphOutput('delta') )) ) ))
ui <- dashboardPage(skin = "green", header,sidebar,body)
server <- function(input, output) {
delta_scores <- score.sentiment(delta_text, pos.words, neg.words)
output$plot1 <- renderPlot({
delta <- delta_scores$score[seq_len(input$Slider)]
hist(delta)
output$mytable <- renderDataTable({delta_scores})
output$deltaBox <- renderInfoBox({infoBox("Website", icon('plane'),
href = ' color='black')})
output$delta <- renderDygraph({dygraph(Cl(get(getSymbols('DAL'))))})}) }
shinyApp(ui, server)

14. Add times series

15. Add times series

16. Conclusion
In the last two days you learned the basic structure and use of shinydashboard. It has many options, and you will need to consult the online documentation and examples to learn more about creating dashboards
Just know that shinydashboard is REALLY powerful!