library(highcharter)
library(dplyr)
options(highcharter.download_map_data = TRUE)
hcmap("custom/asia")
mapdata <- get_data_from_map(download_map_data("custom/asia"))
glimpse(mapdata)
## Observations: 53
## Variables: 14
## $ hc-group <chr> "admin0", "admin0", "admin0", "admin0", "admin0...
## $ hc-middle-x <dbl> 0.56, 0.36, 0.41, 0.59, 0.46, 0.75, 0.44, 0.32,...
## $ hc-middle-y <dbl> 0.52, 0.10, 0.48, 0.52, 0.29, 0.50, 0.48, 0.46,...
## $ hc-key <chr> "ir", "ph", "sa", "jp", "th", "om", "ye", "in",...
## $ hc-a2 <chr> "IR", "PH", "SA", "JP", "TH", "OM", "YE", "IN",...
## $ name <chr> "Iran", "Philippines", "Saudi Arabia", "Japan",...
## $ labelrank <chr> "2", "2", "2", "2", "3", "4", "3", "2", "2", "3...
## $ country-abbrev <chr> "Iran", "Phil.", "Saud.", "Japan", "Thai.", "Om...
## $ subregion <chr> "Southern Asia", "South-Eastern Asia", "Western...
## $ region-wb <chr> "Middle East & North Africa", "East Asia & Paci...
## $ iso-a3 <chr> "IRN", "PHL", "SAU", "JPN", "THA", "OMN", "YEM"...
## $ iso-a2 <chr> "IR", "PH", "SA", "JP", "TH", "OM", "YE", "IN",...
## $ woe-id <chr> "23424851", "23424934", "23424938", "23424856",...
## $ continent <chr> "Asia", "Asia", "Asia", "Asia", "Asia", "Asia",...
fakedata <- mapdata %>%
select(`hc-a2`) %>%
mutate(fakevalue = rexp(nrow(.)) + 1)
glimpse(fakedata)
## Observations: 53
## Variables: 2
## $ hc-a2 <chr> "IR", "PH", "SA", "JP", "TH", "OM", "YE", "IN", "KR"...
## $ fakevalue <dbl> 1.445306, 1.077457, 1.553660, 1.161984, 1.207475, 6....
hcmap("custom/asia", data = fakedata, value = "fakevalue", joinBy = "hc-a2") %>%
hc_plotOptions(
series = list(
borderColor = "transparent",
dataLabels = list(
enabled = TRUE,
format = "{point.properties.name}"
)
)
) %>%
hc_colorAxis(stops = color_stops()) %>%
hc_legend(valueDecimals = 0, valueSuffix = "%") %>%
hc_mapNavigation(enabled = TRUE) %>%
hc_add_theme(hc_theme_db())