document: Multidimensional data visualization Historically , data visualization has been limited primarily to two dimensions -LRB- e.g. , histograms or scatter plots -RRB- . Available software packages -LRB- e.g. , Data Desk 6.1 , MatLab 6.1 , SAS-JMP 4.04 , SPSS 10.0 -RRB- are capable of producing three-dimensional scatter plots with -LRB- varying degrees of -RRB- user interactivity . We constructed our own data visualization application with the Visualization Toolkit -LRB- Schroeder et al. , 1998 -RRB- and Tcl/Tk to display multivariate data through the application of glyphs -LRB- Ware , 2000 -RRB- . A glyph is a visual object onto which many data parameters may be mapped , each with a different visual attribute -LRB- e.g. , size or color -RRB- . We used our multi-dimensional data viewer to explore data from several psycholinguistic experiments . The graphical interface provides flexibility when users dynamically explore the multidimensional image rendered from raw experimental data . We highlight advantages of multidimensional data visualization and consider some potential limitations
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