Update app.R

app.R

@@ -4,7 +4,7 @@ library(shinydashboard)
 library(dplyr)
 library(readr)
 library(sf)
-library(cartogram)   # optional if you decide to do cartograms later
+#library(cartogram)   # optional if you decide to do cartograms later
 library(ggplot2)
 library(rnaturalearth)
 library(rnaturalearthdata)
@@ -27,7 +27,7 @@ ui <- dashboardPage(
   
   dashboardSidebar(
     sidebarMenu(
-      menuItem("Cartogram", tabName = "cartogramTab", icon = icon("globe"))
+      menuItem("Map Type", tabName = "cartogramTab", icon = icon("globe"))
     ),
     div(
       style = "margin: 15px;",
@@ -125,7 +125,7 @@ ui <- dashboardPage(
         fluidRow(
           box(
             width = 12,
-            title = strong("Cartogram / Map"),
+            title = strong("Global Leadership Project (GLP)"),
             solidHeader = TRUE,
             div(style = "height: 80vh; padding: 10px;",
                 plotOutput("cartogramPlot", height = "100%")
@@ -176,7 +176,8 @@ server <- function(input, output, session) {
       scale_fill_viridis_c(option = "D", na.value = "white") +
       coord_sf(expand = FALSE) +
       # Force OCR A Extended font in the plot
-      theme_void(base_size = 14, base_family = "OCR A Extended") +
+      #theme_void(base_size = 14, base_family = "OCR A Extended") +
+      theme_void(base_size = 14, base_family = "Courier New") +
       labs(
         fill = paste(index_col, "Index"),
         title = "Country Representation Rankings",
@@ -198,3 +199,4 @@ server <- function(input, output, session) {
 #   Launch the Shiny App
 # =============================
 shinyApp(ui = ui, server = server)
+