diff --git a/CustomerDashboard/app.R b/CustomerDashboard/app.R
new file mode 100644
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+++ b/CustomerDashboard/app.R
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+# A dashboard + demo for segmentation for Jajo Caribbean
+
+# Load Libraries shiny, shinydashboard, highcharter, dplyr, tidyr, shinycssloaders,DT
+library(shiny)
+library(shinydashboard)
+library(highcharter)
+library(dplyr)
+library(tidyr)
+library(shinycssloaders)
+library(DT)
+
+setwd(dirname(getwd()))
+#source helper
+source("helper.R")
+#source mod_revenueplot
+source("mod_revenueplot.R")
+#source dataimporter
+source("dataimporter.R")
+# source mod_datatable.R
+source("mod_datatable.R")
+
+source("mod_scatter.R")
+source("mod_histo.R")
+
+
+# Define UI for application that draws a histogram
+ui <- dashboardPage(
+  #Dashboard Title 'Segmentation'
+  dashboardHeader(title = "Segmentation"),
+  #add menu items
+  dashboardSidebar(
+    # sidebarMenu(
+    #   menuItem("revenue", tabName = "Revenue", icon = icon("dollar")),
+    #   menuItem("segments", tabName = "Segments", icon = icon("users"))
+    # )
+  ),
+  dashboardBody(
+    # tabItems(
+    #   # First tab content
+    #   tabItem(tabName = "Revenue",
+    #               revplotUI("revplot"),
+    #               datatableUI("datatable")
+    #   ),
+    #   # Second tab content
+    #   tabItem(tabName = "Segments",
+    #           h2("Segmentation"),
+    #           
+    #           h4("Traditional Approach - Location"),
+    #           
+    #           scatterUI("geosegment"),
+    #           
+    #           h4("Traditional Approach - Role"),
+    #           
+    #           scatterUI("rolesegment"),
+    #           
+    #           h4("Machine Learning Approach"),
+    #           
+    #           scatterUI("rolesegment")
+    #   )
+    # )
+    revplotUI("revplot"),
+    datatableUI("datatable"),
+    h2("Segmentation"),
+    
+    fluidRow(
+      column(6,
+             h5("Segment visualization"),
+             scatterUI("clustersegment")
+      ),
+      column(6,
+             h5("Revenue by segment"),
+             highchartOutput("revenuebysegment")
+      )
+    ),
+    
+    h2("Revenue Distribution"),
+    fluidRow(
+      #histoUI inside box
+      box(
+        title = "Segment 1",
+        status = "primary",
+        solidHeader = TRUE,
+        collapsible = F,
+        width = 6,
+        histoUI("segment1")
+      ),
+      box(
+        title = "Segment 2",
+        status = "primary",
+        solidHeader = TRUE,
+        collapsible = F,
+        width = 6,
+        histoUI("segment2")
+      )
+    ),
+    fluidRow(
+      #histoUI inside box
+      box(
+        title = "Segment 3",
+        status = "primary",
+        solidHeader = TRUE,
+        collapsible = F,
+        width = 6,
+        histoUI("segment3")
+      ),
+      box(
+        title = "Segment 4",
+        status = "primary",
+        solidHeader = TRUE,
+        collapsible = TRUE,
+        width = 6,
+        histoUI("segment4")
+      )
+    )
+    
+    
+  )
+)
+
+# Define server logic required to draw a histogram
+server <- function(input, output) {
+  
+  revplotServer("revplot", df = dat, xtitle = "Year", ytitle = "Revenue")
+  datatableServer("datatable", dat[,-10])
+  scatterServer("clustersegment", dat)
+  histoServer("segment1", dat, segment=1)
+  histoServer("segment2", dat, segment=2)
+  histoServer("segment3", dat, segment=3)
+  histoServer("segment4", dat, segment=4)
+  
+  output$revenuebysegment <- renderHighchart({
+    dat |> 
+      group_by(Cluster) |>
+      summarise(
+        self=sum(Self.Purchase1)+sum(Self.Purchase2)+sum(Self.Purchase3),
+        other=sum(Other.Purchase1)+sum(Other.Purchase2)+sum(Other.Purchase3)
+      ) |> 
+      pivot_longer(c(self,other)) |>
+      hchart("column", hcaes(x=Cluster, y=value, group=name), stacking="normal") |>
+      hc_colors(c("#0073C2FF", "#EFC000FF")) |>
+      hc_title(text="Revenue by segment") |>
+      hc_xAxis(title=list(text="Segment")) |>
+      hc_yAxis(title=list(text="Revenue"))
+  })
+}
+
+# Run the application 
+shinyApp(ui = ui, server = server)