Here's a wordcloud of the NFIB et al. v. Sebelius et al. opinion. Very interesting coalitions formation. Healthcare/ACA wordcloud If you're interested in the R and Java code for generating these wordclouds, please see my post on Arizona et al. v. United States from earlier in the week.
Here's one purely for fun - a wordcloud built from the Supreme Court's opinion on Arizona et al. v United States. Word clouds, though certainly not the most scientific of visualization techniques, are often engaging and "fun" ways to lead into discussion on NLP or topic modeling. Arizona et al. v United States wordcloud
Based on Launchpad traffic and mailing list responses, Gabor and Tamas will soon be releasing igraph 0.6. In celebration, I’ll be publishing a number of helpful lists and tables I’ve put together to organize information about igraph. In this post, we’ll cover the community detection algorithms (~i.e., clustering, partitioning, segmenting) available in 0.6
I first heard about Python pandas from a friend at RenTech or AQR in the early summer of last year. At the time, the project was little more than a documentation page and a few wrapper methods around numpy. Since then, pandas has matured into a very useful and featureful addition to numpy, scipy,
