# More info:
#   https://github.com/jcheng5/googleCharts
# Install:
#   devtools::install_github("jcheng5/googleCharts")
library(googleCharts)
library(shiny)
library(dplyr)

data <- readRDS("healthexp.Rds")
data$Region <- as.factor(data$Region)

# Use global max/min for axes so the view window stays
# constant as the user moves between years
xlim <- list(
  min = min(data$Health.Expenditure) - 500,
  max = max(data$Health.Expenditure) + 500
)
ylim <- list(
  min = min(data$Life.Expectancy),
  max = max(data$Life.Expectancy) + 3
)

ui <- fluidPage(
  # This line loads the Google Charts JS library
  googleChartsInit(),

  # Use the Google webfont "Source Sans Pro"
  tags$link(
    href=paste0("http://fonts.googleapis.com/css?",
                "family=Source+Sans+Pro:300,600,300italic"),
    rel="stylesheet", type="text/css"),
  tags$style(type="text/css",
    "body {font-family: 'Source Sans Pro'}"
  ),

  h2("Google Charts demo"),

  googleBubbleChart("chart",
    width="100%", height = "475px",
    # Set the default options for this chart; they can be
    # overridden in server.R on a per-update basis. See
    # https://developers.google.com/chart/interactive/docs/gallery/bubblechart
    # for option documentation.
    options = list(
      fontName = "Source Sans Pro",
      fontSize = 13,
      # Set axis labels and ranges
      hAxis = list(
        title = "Health expenditure, per capita ($USD)",
        viewWindow = xlim
      ),
      vAxis = list(
        title = "Life expectancy (years)",
        viewWindow = ylim
      ),
      # The default padding is a little too spaced out
      chartArea = list(
        top = 50, left = 75,
        height = "75%", width = "75%"
      ),
      # Allow pan/zoom
      explorer = list(),
      # Set bubble visual props
      bubble = list(
        opacity = 0.4, stroke = "none",
        # Hide bubble label
        textStyle = list(
          color = "none"
        )
      ),
      # Set fonts
      titleTextStyle = list(
        fontSize = 16
      ),
      tooltip = list(
        textStyle = list(
          fontSize = 12
        )
      )
    )
  ),
  fluidRow(
    shiny::column(4, offset = 4,
      sliderInput("year", "Year",
        min = min(data$Year), max = max(data$Year),
        value = min(data$Year), animate = TRUE)
    )
  )
)


server <- function(input, output, session) {

  # Provide explicit colors for regions, so they don't get recoded when the
  # different series happen to be ordered differently from year to year.
  # http://andrewgelman.com/2014/09/11/mysterious-shiny-things/
  defaultColors <- c("#3366cc", "#dc3912", "#ff9900", "#109618", "#990099", "#0099c6", "#dd4477")
  series <- structure(
    lapply(defaultColors, function(color) { list(color=color) }),
    names = levels(data$Region)
  )

  yearData <- reactive({
    # Filter to the desired year, and put the columns
    # in the order that Google's Bubble Chart expects
    # them (name, x, y, color, size). Also sort by region
    # so that Google Charts orders and colors the regions
    # consistently.
    df <- data %>%
      filter(Year == input$year) %>%
      select(Country, Health.Expenditure, Life.Expectancy,
        Region, Population) %>%
      arrange(Region)
  })

  output$chart <- reactive({
    # Return the data and options
    list(
      data = googleDataTable(yearData()),
      options = list(
        title = sprintf(
          "Health expenditure vs. life expectancy, %s",
          input$year),
        series = series
      )
    )
  })
}

shinyApp(ui = ui, server = server)