Upload Interactive_dashboard_UI.R

Interactive_dashboard_UI.R

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+library(shiny)
+library(shinythemes)
+library(readxl)
+library(ggplot2)
+motor_data <- read_excel("D:/DS/R/Zygote_R/india_vehicle_sales_trends.xlsx")
+ui <- fluidPage(
+  theme = shinytheme("cyborg"),
+  #shinythemes::themeSelector(),
+               navbarPage(
+                  "Wikki Zygote",
+                  tabPanel("Home",
+                              sidebarPanel(
+                                tags$h3("Input:"),
+                                textInput("txt1", "Given Name:", ""),
+                                textInput("txt2", "Surname:", ""),
+                                tags$p("Play around this input boxes, its fun which covers concept of Reactive expressions in Shiny R")
+                              ), #sidebar panel
+                              mainPanel(
+                                h1("Welcome to Wikki Zygote"),
+                                verbatimTextOutput("txtout"),
+                              ) #main panel
+                  ), #panel 1 end 
+                  tabPanel("Motor Sales India",
+                           sidebarLayout(
+                             sidebarPanel(
+                               tags$p("This is a bar plot against Indian Motor sales from 2010 to 2019 using Shiny R library")
+                             ),
+                             mainPanel(
+                               plotOutput(outputId = "distPlot")
+                           ),
+                           
+                           )
+                           ),
+                  tabPanel("Dashboard", "This panel is under development"),
+                  tabPanel("About me", 
+                           "Wikki Zygote Web application using Shiny R")
+                )
+)
+
+server <- function(input, output){
+  output$txtout <- renderText({
+    paste(input$txt1, input$txt2, sep = " ")
+  })
+  output$distPlot <- renderPlot({
+    
+#    x <- motor_data$`Total (million)`
+#    bins <- seq(min(x), max(x), length.out = input$bins + 1)
+    
+#    hist(x, breaks = bins, col = "blue", border = "black",
+#         xlab = "Sales",
+#         main = "Histogram of Indian Motor Sales")
+    
+#    hist(x, 
+#         main = "Histogram of Total Vehicle Production",
+#         xlab = "Total Vehicle Production (Millions)",
+#         col = "lightblue",
+#         border = "black")
+    
+    #bar plot
+    ggplot(motor_data, aes(x = Year, y = `Total (million)`)) +
+      geom_bar(stat = "identity", fill = "steelblue") +
+      scale_y_continuous(breaks = seq(0, 26, by = 2), labels = seq(0, 26, by = 2)) +
+      labs(title = "Passenger Vehicle Production Over the Years",
+           x = "Year",
+           y = "Production (Millions)")
+  })
+}
+
+shinyApp(ui = ui, server = server)