--- title: "README" author: "Bob Rudis" date: August 26, 2014 output: md_document: variant: markdown_github --- statebins is an alternative to choropleth maps for USA 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 ```{r eval=FALSE} devtools::install_github("hrbrmstr/statebins") ``` ```{r echo=FALSE, message=FALSE, warning=FALSE, error=FALSE} options(width=120) ``` ### Usage All of the following examples use the [WaPo data](http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/states.csv?cache=1). It looks like the columns 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). ```{r message=FALSE} library(statebins) # current verison packageVersion("statebins") # 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) } ``` ```{r eval=FALSE} # cheating and using