Dec 21, 2012
Depicting high-dimensional clusters in Principal Component space. >800 occupations (small points) were placed into clusters ("Groups", large points) and subclusters ("Subgroups", medium points) based on similarity across 218 skills dimensions. Principal Components Analysis was used as a data reduction technique to minimize explanatory variables. These figures show the first two Principal Components. Produced in R and Adobe Illustrator.