statebins/README.md

statebins is an alternative to choropleth maps for US States

The following functions are implemented:

• statebins - creates "statebin" charts in the style of http://bit.ly/statebins - This version uses discrete RColorBrewer scales, binned by the "breaks" parameter.
• statebins_continuous - creates "statebin" charts in the style of http://bit.ly/statebins - This version uses a continuous scale based on RColorBrewer scales (passing in a 6 element RColorBrewer palette to scale_fill_gradientn).

TODO

• The current version is usable, but I think the plot margins and the legends need work
• Apply algorithm to switch to light-on-dark depending on the background tile color

News

• Version 1.0.0 released

Installation

devtools::install_github("hrbrmstr/statebins")

Usage

All of the following examples use the WaPo data. It looks like the colums they use are scaled data and I didn't take the time to figure out what they did, so the final figure just mimics their output (including the non-annotated legend).

library(statebins)

# current verison
packageVersion("statebins")

## [1] '1.0'

# the original wapo data

dat <- read.csv("http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/states.csv?cache=1", stringsAsFactors=FALSE)

gg <- statebins(dat, "state", "avgshare94_00", breaks=4, 
                labels=c("0-1", "1-2", "2-3", "3-4"),
                legend_title="Share of workforce with jobs lost or threatened by trade", font_size=3, 
                brewer_pal="Blues", text_color="black", 
                plot_title="1994-2000", title_position="bottom")

gg

# continuous scale, legend on top

gg2 <- statebins_continuous(dat, "state", "avgshare01_07",
                            legend_title="Share of workforce with jobs lost or threatened by trade", legend_position="top",
                            brewer_pal="OrRd", text_color="black", font_size=3, 
                            plot_title="2001-2007", title_position="bottom")

gg2

# continuous scale, no legend

gg3 <- statebins_continuous(dat, "state", "avgshare08_12",
                            legend_title="States", legend_position="none",
                            brewer_pal="Purples", text_color="black", font_size=3, 
                            plot_title="2008-2012", title_position="bottom")

gg3

# or, more like the one in the WaPo article; i might be picking the wrong columns here. it's just for an example

sb <- function(col, title) {
  statebins(dat, "state",col, brewer_pal="Blues", text_color="black", legend_position="none", font_size=3, plot_title=title, breaks=4, labels=1:4)
}

# cheating and using <table> to arrange them below and also making a WaPo-like legend, 
# since mucking with grid graphics margins/padding was not an option time-wise at the moment

sb("avgshare94_00", "1994-2000")
sb("avgshare01_07", "2001-2007")
sb("avgshare08_12", "2008-2012")


And, we'll throw in a gratuitous animation for good measure:

# data set from StatsAmerica - http://www.statsamerica.org/profiles/sip_index.html

# median household income from the ACS survey
miacs <- read.csv("http://dds.ec/data/median-income-acs.csv", header=TRUE, stringsAsFactors=FALSE)

# generate frames based on year
sapply(unique(miacs$year), function(year) {
  
  png(file=sprintf("tmp/household%d.png", year),
      type="quartz", antialias="subpixel", width=800, height=600)
  
  rng <- floor(range(miacs[miacs$year==year,]$mh_inc))
  
  ggtmp <- statebins(miacs[miacs$year==year,], "state", "mh_inc",
                   legend_title="States", legend_position="none",
                   brewer_pal="Greens", text_color="black", font_size=3,
                   plot_title=sprintf("Median Household Income (ACS) %d\n$%s - $%s", year, comma(rng[1]), comma(rng[2])), title_position="top")
  
  print(ggtmp)
  
  dev.off()
  
})

# animate them with ImageMagick
system("convert -background white -alpha remove -layers OptimizePlus -delay 150 tmp/*.png -loop 1 tmp/household.gif")


Test Results

library(statebins)
library(testthat)

date()

## [1] "Tue Aug 26 17:39:41 2014"

test_dir("tests/")

## basic functionality :