In ZellW/LearnPlotting:

library(rUnemploymentData)
data(df_state_unemployment)

boxplot(df_state_unemployment[, 2:ncol(df_state_unemployment)],
    main = "US State Unemployment Rates",
    xlab = "Year",
    ylab = "Percent Unemployment")


library(choroplethr)
library(choroplethrMaps)

df_state_unemployment$value = (df_state_unemployment$"2009" - df_state_unemployment$"2008") / df_state_unemployment$"2008" * 100

state_choropleth(df_state_unemployment, 
    title      = "Percent Change in US State Unemploymentn2008-2009",
    legend     = "% Change",
    num_colors = 1)

ZellW/LearnPlotting documentation built on May 10, 2019, 1:57 a.m.