Statebins is a neat R package that allows for the easy creation of beautiful cartogram heatmaps in the style of http://bit.ly/statebins. The cartograms
statebins generates offer a visually appealing and somewhat minimal alternative to a typical cartogram in that the states are uniform squares aligned in a grid.
Statebins has been updated recently and currently depends on a development version of
ggplot2 so the following command is necessary to install it.
Packages neccessary for this analysis are:
In this analysis we will examine illiteracy rates as a percentage of total population. The data comes from the US State Facts and Figures dataset included in base R which was sourced from the U.S. Department of Commerce, Bureau of the Census (1977) Statistical Abstract of the United States. The first thing to do is load the data and prepare it for the
data(state) state_facts <- as.data.frame(state.x77) %>% mutate(state = rownames(.))
Finally, we can generate the cartogram heatmap by passing our data frame to the
statebins function. I personally like the look of rounded corners so I’ll set
round = TRUE
state_facts %>% statebins(value_col = "Illiteracy", round = TRUE, name = "% of Pop.") + labs(title = "Illiteracy Rate (1970)", caption = "Source: U.S. Department of Commerce, Bureau of the Census (1977)") + theme_statebins(legend_position = "right")