admin1_choropleth(country.name, df, title = "", legend = "",
num_colors = 7, zoom = NULL, reference_map = FALSE)

## Arguments

country.name The name of the country. Must exactly match how the country is named in the "country" column of ?admin1.regions in the choroplethrAdmin1 package. A data.frame with a column named "region" and a column named "value". Elements in the "region" column must exactly match how regions are named in the "region" column in ?admin1.regions in the choroplethrAdmin1 package An optional title for the map. An optional name for the legend. The number of colors on the map. A value of 1 will use a continuous scale. A value in [2, 9] will use that many colors. An optional vector of regions to zoom in on. Elements of this vector must exactly match the names of regions as they appear in the "region" column of ?admin1.regions. If true, render the choropleth over a reference map from Google Maps.

## Examples



data(df_japan_census)
#> 23  aichi  7411000                          2.2               1434.8
#> 5   akita  1086000                         -5.2                 93.3
#> 2  aomori  1373000                         -4.4                142.4
#> 12  chiba  6216000                          2.6               1205.5
#> 38  ehime  1431000                         -2.5                252.1
#> 18  fukui   806000                         -1.9                192.4# set the value we want to map to be the 2010 population estimates
df_japan_census$value=df_japan_census$pop_2010

# default map of all of japan
df_japan_census,
"2010 Japan Population Estimates",
"Population")
# zoom in on the Kansai region and use a continuous scale
kansai = c("mie", "nara", "wakayama", "kyoto", "osaka", "hyogo", "shiga")
#>        See ?register_google for details.