We are pleased to announce that the acs.R package is now ready for prime-time: version 1.0 was officially released last week and is now available on CRAN.1 This version, developed in partnership with the Puget Sound Regional Council, includes all...
To cut a long story short, I always wanted to write professional-looking documents (technical reports and potentially my thesis) with R codes. No more copy and paste. No more Microsoft Word. At the same time, I don't feel comfortable with LaTeX.
In a recent post I showed how to use the ScraperWiki Twitter Search Tool to capture tweets for analysis. I demonstrated this using a search on the #InspiringWomen hashtag, using Tableau to generate a visualisation.
Some time ago, FlowingData issued a challenge to create choropleth maps with open source tools, resulting in some nice little scripts using R’s ggplot2 and maps packages — all nicely covered on the Revolution Analytics blog.
A very nice user wrote the following in an email to me about the latest version of the acs.R package: > Thanks for providing such a wonderful package in R. I'm having > difficulty defining a geo at the block group level.
About a year ago I posted this video visualization of all the reported accidents involving bicycles in Montreal between 2006 and 2010. In the process I also calculated and plotted the accident rate using a monthly moving average.