At the Government Open Data Hack Day event organised by James Cattell and Gavin Broughton, Andy Pryke, Christophe Ladroue and I had a go at analysing employment statistics for the West Midlands. In particular we were looking for correlations between employment data and other factors, such as census data about age and gender. As with all data mining work, the most difficult and time-consuming job was cleaning the available data before it could be usefully used in an analysis. Christophe wrote a very clear account of the work he did using R to deal with nomis data. You can see a summary of our results in the video below.
… and if you want to download the yourself here it is publicly available here: