I’ve been following the development of googleVis, the implementation of the Google Visualization API for R, for a bit now. The library has a lot of potential as a bridge between R (where data processing happens) and HTML (where presentation is [increasingly] happening). A growing number of visualization frameworks are on the market and all have their perks (e.g. Many Eyes, Simile, Flare). I guess I was inspired in such a way by the Hans Rosling
Show TED talk that makes such great use of bubble charts that I wanted to try the Google Vis API for that chart type alone. There’s more, however, if you don’t care much for floating blubbles: neat chart variants include the geochart, area charts and the usual classics (bar, pie, etc). Check out the chart gallery for an overview.
So here are my internet growth charts:
Data source: data.un.org (ITU database). I’ve merged two tables from the database into one (absolute numbers and percentages) and cleaned the data up a bit. The resulting tab-separated CSV file is available here.
And here’s the R code for rendering the chart. Basically you just replace gvisMotionChart() with gvisGeoChart() for the second chart, the rest is the same.
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library("googleVis") n <- read.csv("netstats.csv", sep="\t") nmotion <- gvisMotionChart(n, idvar="Country", timevar="Year", options=list(width=1024, height=768)) plot(nmotion)