Merge branch 'master' of https://github.com/bspeice/betterwithdata_cleaning_4

shiny-app/server.R

@@ -1,11 +1,28 @@
 library(shiny)
+library(ggplot2)
 
 # Define server logic required to draw a histogram
 shinyServer(function(input, output) {
   emergency2013 <- read.csv("./data/emergency2013.csv")
   
   output$distPlot <- renderPlot({
+    plot(emergency2013$duid, emergency2013$vstctgry)
+  })
+  
+  output$mytable1 <- renderDataTable({
+      emergency2013[, input$show_vars, drop = FALSE]
+  })
+    
+  output$mytable2 <- renderDataTable({
+      summary(emergency2013[, input$show_vars, drop = FALSE])
+    
+  })
+  output$myplot <- renderPlot({
+    library(ggplot2)
+    library(corrplot)
+    pairs(emergency2013[, input$show_vars, drop = FALSE])
+
+    emergency2013[, input$show_vars, drop = FALSE]
 
-    plot(emergency2013$erdatemm, emergency2013$vstctgry)
   })
 })

shiny-app/ui.R

@@ -9,13 +9,15 @@ shinyUI(fluidPage(
   # Sidebar with a slider input for the number of bins
   sidebarLayout(
     sidebarPanel(
-      checkboxGroupInput('show_vars', 'Columns in dataset to show:',
-                         names(emergency2013), selected = names(emergency2013))
-    ),
-    
-    # Show a plot of the generated distribution
+      checkboxGroupInput('show_vars', 'Columns in dataset to show:', names(emergency2013), selected = NULL)),
+  # Show a summary table of the selected variables
     mainPanel(
-      plotOutput("distPlot")
+      tabsetPanel(
+        id = 'dataset',
+        tabPanel('emergency2013', dataTableOutput('mytable1')),
+        tabPanel('emergency2013', dataTableOutput('mytable2')),
+        tabPanel('emergency2013', plotOutput('myplot')))
     )
   )
-))
+)
+)