app.R

library(shiny)
library(shinydashboard)
library(palmerpenguins)
library(tidyverse)

ui <- dashboardPage(
  skin = "yellow",
  dashboardHeader(title = "Example Palmer Penguins Dashboard",
                  titleWidth = 360),
  dashboardSidebar(
    width = 300,
    sidebarMenu(
      h3(HTML("&nbsp;&nbsp;&nbsp;Palmer Penguins dataset")),
      br(),
      h4(HTML("&nbsp;&nbsp;The goal of palmerpenguins is to<br/>&nbsp;&nbsp;provide a great dataset for<br/>&nbsp;&nbsp;data exploration & visualization,<br/>&nbsp;&nbsp;as an alternative to `iris`.")),
      br(),
      h4(HTML("&nbsp;&nbsp;&nbsp;&nbsp;Data:")),
      HTML('&nbsp;&nbsp;&nbsp;&nbsp;<a href="https://allisonhorst.github.io/palmerpenguins/" target = "_blank">https://allisonhorst.github.io/palmerpenguins/</a>'),
      br(),
      h4(HTML("&nbsp;&nbsp;&nbsp;&nbsp;Artwork:")),
      HTML('&nbsp;&nbsp;&nbsp;&nbsp;Allison Horst, <a href="https://www.allisonhorst.com/" target = "_blank">https://www.allisonhorst.com/</a>')
  )),
  dashboardBody(
    fluidRow(
      box(
        title = "Number of Penguins", width = 4, solidHeader = TRUE, status = "primary",
        "344"
      ),
      box(
        title = "Number of Species", width = 4, solidHeader = TRUE,
        "3"
      ),
      box(
        title = "Number of Islands", width = 4, solidHeader = TRUE, status = "warning",
        "3"
      )
    ),
    fluidRow(
      box(plotOutput("plot1", height = 300),
          status = "warning",
          solidHeader = TRUE),
      box(plotOutput("plot2",
                     height = 300))
    ),
    fluidRow(
      img(src='https://allisonhorst.github.io/palmerpenguins/reference/figures/lter_penguins.png', align = "center", width = 500),
      box(plotOutput("plot3",
                     height = 300))
    )
  )
)

server <- function(input, output) {
  output$plot1 <- renderPlot({
    ggplot(data = penguins,
           aes(x = flipper_length_mm,
               y = bill_length_mm)) +
      geom_point(aes(color = species, 
                     shape = species),
                 size = 3,
                 alpha = 0.8) +
      geom_smooth(method = "lm", se = FALSE, aes(color = species)) +
      theme_minimal() +
      scale_color_manual(values = c("darkorange","purple","cyan4")) +
      labs(title = "Flipper and bill length",
           subtitle = "Dimensions for Adelie, Chinstrap and Gentoo Penguins at Palmer Station LTER",
           x = "Flipper length (mm)",
           y = "Bill length (mm)",
           color = "Penguin species",
           shape = "Penguin species") +
      theme(legend.position = c(0.85, 0.15),
            legend.background = element_rect(fill = "white", color = NA),
            plot.title.position = "plot",
            plot.caption = element_text(hjust = 0, face= "italic"),
            plot.caption.position = "plot")
  })
  
  output$plot2 <- renderPlot({
    ggplot(data = penguins, aes(x = flipper_length_mm)) +
      geom_histogram(aes(fill = species),
                     alpha = 0.5,
                     position = "identity") +
      scale_fill_manual(values = c("darkorange", "purple", "cyan4")) +
      theme_minimal() +
      labs(x = "Flipper length (mm)",
           y = "Frequency",
           title = "Penguin flipper lengths")
  })
  
  output$plot3 <- renderPlot({
    ggplot(data = penguins, 
           aes(x = flipper_length_mm,
               y = body_mass_g)) +
      geom_point(aes(color = species, 
                     shape = species),
                 size = 3,
                 alpha = 0.8) +
      theme_minimal() +
      scale_color_manual(values = c("darkorange","purple","cyan4")) +
      labs(title = "Penguin size, Palmer Station LTER",
           subtitle = "Flipper length and body mass for Adelie, Chinstrap, and Gentoo Penguins",
           x = "Flipper length (mm)",
           y = "Body mass (g)",
           color = "Penguin species",
           shape = "Penguin species") +
      theme(legend.position = c(0.2, 0.7),
            legend.background = element_rect(fill = "white", color = NA),
            plot.title.position = "plot",
            plot.caption = element_text(hjust = 0, face= "italic"),
            plot.caption.position = "plot")
  })
  
}

shinyApp(ui, server)