Top Refugee hosting Countries

Load Packages

library(tidyverse)

Prepare Data

#Prepare data2
lastyear <- max(unhcrdatapackage::end_year_population_totals_long$Year)
## Loading the stat tables
data <- dplyr::left_join( x= unhcrdatapackage::end_year_population_totals_long, 
                         y= unhcrdatapackage::reference, 
                         by = c("CountryAsylumCode" = "iso_3"))  %>%
  filter(Population.type  == "REF" & Year == lastyear) %>%
  group_by( CountryAsylumName, SUBREGION) %>%
  summarise(Value2 = sum(Value) )  %>%
  #mutate( value3 =  format_si(Value2)) %>%
  arrange(desc(Value2)) %>%
  head(10)
#> `summarise()` has grouped output by 'CountryAsylumName'. You can override using the `.groups` argument.

Generate Plot

#Make plot
ggplot(data, aes(x = reorder(CountryAsylumName, Value2), ## Reordering country by Value
                           y = Value2)) +
  geom_bar(stat = "identity", 
           position = "identity", 
           fill = "#0072bc") + # here we configure that it will be bar chart+
  geom_label(aes(x = CountryAsylumName, y = Value2, 
                label =  format(round(Value2, -3),  big.mark=",")), 
             hjust = 1, 
             vjust = 0.5, 
             colour = "white", 
             fill = NA, 
             label.size = NA, 
             family = "Lato", 
             size = 6) +
  geom_hline(yintercept = 0, size = 1, colour = "#333333") +
  coord_flip() + # Add `coord_flip()` to make your vertical bars horizontal:
  ## and the chart labels
  labs(title = "Turkey is by the far the biggest Refugee hosting country",
       subtitle = paste0("Top 10 Refugee Population per country in ",lastyear), 
       x = "",
       y = "",
       caption = "UNHCR https://www.unhcr.org/refugee-statistics/") +
  scale_y_continuous( label = scales::label_number_si()) + ## Format axis number
  geom_hline(yintercept = 0, size = 1.1, colour = "#333333") +
  unhcRstyle::unhcr_theme(base_size = 8)  + ## Insert UNHCR Style
  theme(panel.grid.major.x = element_line(color = "#cbcbcb"), 
        panel.grid.major.y = element_blank()) ### changing grid line that should appear