Shiny APP

#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
#    http://shiny.rstudio.com/
#

library(shiny)
library(DT)
server <- function(input,output, session) {
    
    library(ggplot2)
    library(shiny)
    library(DT)
    # library(stringr)
    
    #setwd("C:/Users/kli4/Downloads/Shiny_HW")
    
    dataset = read.csv("dataset.csv")
    dataset$AGE_Bin = cut(dataset$AGE,5,include.lowest = TRUE)
    dataset$INCOME_Bin = cut(dataset$INCOME,5,include.lowest = TRUE,dig.lab = 6)
    # dataset$INCOME_Bin <- lapply(strsplit(gsub("]|[[(]", "", levels(dataset$INCOME_Bin)), ","),
    #           prettyNum, big.mark=".", decimal.mark=",", input.d.mark=".", preserve.width="individual")
    
    
    plot_var <- eventReactive(input$gobutton,{
        
        selection <- input$option
        
        data_agg <-aggregate(x=dataset$Customer, by=list(SELECTION=dataset[,c(selection)],TREATMENT = dataset[,"TREATMENT"]),length)
        names(data_agg) = c("SELECTION","TREATMENT", "Customer")
        
        return(data_agg)
        
    })
    
    
    output$disPlot <- renderPlot({
        displot = ggplot(plot_var(), aes(x=SELECTION,y=Customer,fill=TREATMENT)) + geom_bar(position="stack",stat="identity")
        
        output$disPlot_download <- downloadHandler(
            filename = function() { paste(input$option, '.jpg', sep='') },
            content = function(file){
                ggsave(file,plot=displot)
            })
        displot
    })
    
    
    
    
    output$table <- DT::renderDataTable(datatable(dataset))
    
    
    
    
    scatter_plot <- ggplot(dataset, aes(x=AGE,y=INCOME)) + geom_point()
    
    scatter_plot = scatter_plot + facet_grid(GENDER ~ TREATMENT)
    
    output$Scatter <- renderPlot({
        scatter_plot
    })
    
    scatter_brushed <- reactive({
        
        my_brush <- input$selected_range
        sel_range <- brushedPoints(dataset, my_brush)
        return(sel_range)
        
    })
    output$brushed_table <- DT::renderDataTable(DT::datatable(scatter_brushed()))
    
    
    
    displot2 <- ggplot(dataset, aes(online.Activity.A)) + geom_histogram(aes(fill=AGE_Bin), bins = 5)
    
    displot2 = displot2 + facet_grid(GENDER ~ TREATMENT)
    
    displot3 <- ggplot(dataset, aes(online.ACTIVITY.B)) + geom_histogram(aes(fill=AGE_Bin), bins = 5)
    
    displot3 = displot3 + facet_grid(GENDER ~ TREATMENT)
    
    output$displot2 <- renderPlot({
        displot2
    })
    
    output$displot3 <- renderPlot({
        displot3
    })
    # 
    # scatter_brushed2 <- reactive({
    #   
    #   my_brush <- input$selected_range2
    #   sel_range <- brushedPoints(dataset, my_brush)
    #   return(sel_range)
    #   
    # })
    # output$brushed_table2 <- DT::renderDataTable(DT::datatable(scatter_brushed2()))
    
    data_agg2 <-aggregate(list(Activity_A=dataset$online.Activity.A), by=list(DAY=dataset$DAY,TREATMENT=dataset$TREATMENT,GENDER=dataset$GENDER),mean)
    
    lineplot <- ggplot(data_agg2, aes(x=DAY, y=Activity_A, group=c(TREATMENT))) + geom_line(aes(color=TREATMENT)) + geom_point()
    lineplot = lineplot + facet_grid(GENDER ~ TREATMENT)
    
    output$lineplot <- renderPlot({
        lineplot
    })
    
    data_agg2 <-aggregate(list(Activity_B=dataset$online.ACTIVITY.B), by=list(DAY=dataset$DAY,TREATMENT=dataset$TREATMENT, GENDER=dataset$GENDER),mean)
    
    lineplot2 <- ggplot(data_agg2, aes(x=DAY, y=Activity_B, group=c(TREATMENT))) + geom_line(aes(color=TREATMENT)) + geom_point()
    lineplot2 = lineplot2 + facet_grid(GENDER ~ TREATMENT)
    
    output$lineplot2 <- renderPlot({
        lineplot2
    })
    
    #Downloads
    
    output$lineplot2_download <- downloadHandler(
        filename = "Activity_B Line.jpg",
        content = function(file){
            ggsave(file,plot=lineplot2)
        })
    
    output$lineplot_download <- downloadHandler(
        filename = "Activity_A Line.jpg",
        content = function(file){
            ggsave(file,plot=lineplot)
        })
    
    output$displot2_download <- downloadHandler(
        filename = "ActivityA_Dist.jpg",
        content = function(file){
            ggsave(file,plot=displot2)
        })
    output$displot3_download <- downloadHandler(
        filename = "ActivityB_Dist.jpg",
        content = function(file){
            ggsave(file,plot=displot3)
        })
    
    output$scatter_download <- downloadHandler(
        filename = "Age_Income.jpg",
        content = function(file){
            ggsave(file,plot=scatter_plot)
        })
    
    
    
}





ui <-   fluidPage(
    
    h1("Rshiny Homework"),
    h2("Demographic Exploartion"),
    h3("Filterable Table"),
    DT::dataTableOutput("table"),
    br(),
    h3("Charts"),
    selectInput(
        "option",
        "Demography",
        c("AGE_Bin","INCOME_Bin","GENDER"),
        selected = NULL,
        multiple = FALSE,
        selectize = TRUE,
        width = NULL,
        size = NULL
    ),
    
    actionButton("gobutton", "View Chart", class = "btn-success"),
    plotOutput("disPlot"),
    downloadButton(outputId = "disPlot_download", label = "Download Chart",class = "btn-success"),
    
    br(),
    hr(),
    br(),
    h3("Relationship Between Variables"),
    
    tabsetPanel(
        tabPanel("Scatter", 
                 plotOutput("Scatter", brush="selected_range"),
                 br(),
                 downloadButton(outputId = "scatter_download", label = "Download Chart",class = "btn-success"),
                 br(),
                 br(),
                 DT::dataTableOutput("brushed_table")
        ),
        tabPanel("Distribution", 
                 plotOutput("displot2"),
                 downloadButton(outputId = "displot2_download", label = "Download Chart",class = "btn-success"),
                 br(),
                 plotOutput("displot3"),
                 downloadButton(outputId = "displot3_download", label = "Download Chart",class = "btn-success")
                 
        )
    ),
    
    br(),
    hr(),
    br(),
    h3("Line Plot"),
    plotOutput("lineplot"),
    downloadButton(outputId = "lineplot_download", label = "Download Chart",class = "btn-success"),
    br(),
    plotOutput("lineplot2"),
    downloadButton(outputId = "lineplot2_download", label = "Download Chart",class = "btn-success")
    
    
)


shinyApp(ui = ui, server = server)