Hexbins

library("mxmaps")

data("df_mxstate_2020")
df_mxstate_2020$value = df_mxstate_2020$afromexican / df_mxstate_2020$pop * 100
mxhexbin_choropleth(df_mxstate_2020, num_colors = 1,
                    title = "Percentage of the population that identifies as Afro-Mexican",
                    legend = "%",
                    auto_contrast = TRUE)

Text Shadow

You can use label_color if you want the state abbreviations in a different color than the default black, and you can also add a shadow_color if you want to the state abbreviation labels to have a shadow to better distinguish them from the background colors.

library("viridis")
library("scales")

df_mxstate_2020$value = df_mxstate_2020$afromexican / df_mxstate_2020$pop 
# Will show a warning, look at the municipio examples to see how to remove it
mxhexbin_choropleth(df_mxstate_2020, 
                    num_colors = 1,
                    label_color = "white",
                    shadow_color = "black",
                    title = "Percentage of the population that identifies as Afro-Mexican",
                    legend = "%",
                    label_size = 3.8) +
  scale_fill_viridis("percentage", labels = percent)

Auto Contrast

In your maps, you may encounter situations where the background color changes dynamically, making it difficult to read text in a single color. In such cases, you can use the automatic text color adjustment feature auto_constrast to improve readability. This feature automatically adjusts the text color based on the background color, ensuring optimal readability.

library("viridis")
library("scales")

df_mxstate_2020$value = df_mxstate_2020$afromexican / df_mxstate_2020$pop 
mxhexbin_choropleth(df_mxstate_2020, num_colors = 1,
                    title = "Percentage of the population that identifies as Afro-Mexican",
                    legend = "%",
                    shadow_color = "#111111",
                    auto_contrast = TRUE)+
  scale_fill_viridis()

Note how the label colors for GRO and OAX are black