Data visualization has developed in several directions: theoretical; method
ological; and in new application areas. Advances include the development of
a grammar of graphics, deeper understanding of human perception and implic
ations for graphical layout, and better approaches to visualizing multidime
nsional data and large data sets. Gene expression is a notable new applicat
ion area for visualization of large data sets.