library(ggplot2)
library(dplyr)
library(ggflags)
library(forcats)

# Данные о городах
cities_data <- tibble(
  City = c("Bangkok", "Istanbul", "London", "Hong Kong", "Antalya", "Mecca", 
           "Dubai", "Macau", "Paris", "Kuala Lumpur"),
  Arrivals_M = c(32.4, 23, 21.7, 20.5, 19.3, 19.3, 18.2, 18, 17.4, 16.5),
  Country_Code = c("TH", "TR", "GB", "HK", "TR", "SA", "AE", "MO", "FR", "MY")
) %>%
  mutate(
    City = fct_reorder(City, Arrivals_M),
    Country_Code = tolower(Country_Code)
)

ggplot(cities_data, aes(x = Arrivals_M, y = City)) +
  geom_col(fill = "gray90", width = 0.8) +
  geom_flag(aes(x = -10, country = Country_Code), size = 8) +
  geom_text(aes(x = -8.5, label = City), hjust = 0, size = 4) +
  geom_text(aes(x = 0.25, label = Arrivals_M), hjust = 0, size = 4) +
  scale_x_continuous(limits = c(-11, 35), expand = c(0, 0)) +
  labs(
    title = "Most Visited Cities in the World",
    subtitle = "Arrivals, in M",
    x = NULL,
    y = NULL
  ) +
  theme_minimal(base_size = 14) +
  theme(
    plot.title.position = "plot",
    plot.caption.position = "plot",
    panel.grid = element_blank(),
    panel.grid.major.y = element_blank(),
    panel.grid.minor = element_blank(),
    axis.title = element_blank(),
    axis.text.y = element_blank(),
    axis.text.x = element_blank(),
    axis.ticks = element_blank(),
    plot.title = element_text(face = "bold"),
    plot.subtitle = element_text(size = 14, color = "gray40"),
    plot.margin = margin(10, 10, 10, 10)
  )

ggsave("most_visited_cities_ggflags.png", bg = "white", width = 6, height = 6, dpi = 300)