(This article was first published on YGC » R, and kindly contributed to R-bloggers)
The visualization represented by Hans Rosling’s TED talk was very impressive. FlowingData provides a tutorial on making bubble chart in R. I prefer ggplot2 for graphics.
crime <- read.csv("http://datasets.flowingdata.com/crimeRatesByState2008.csv", header=TRUE, sep="\t") p <- ggplot(crime, aes(murder,burglary,size=population, label=state)) p <- p+geom_point(colour="red") +scale_area(to=c(1,20))+geom_text(size=3) p + xlab("Murders per 1,000 population") + ylab("Burglaries per 1,000")
Here is what it looks like.
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