This data set was one of the most complex analyzed, and required several weeks
of work. We began by using all nine statistical methods to analyze the data. Each
of these nine attribute order files was used to generate a row of seven graphs, one
for each kind of image, and one labeled axis. The axis was labeled with the newly
created gtb-bubtext, as was each graph. The graphs and axes in each row were
arrayed in a semi-circle, the method developed by Sean Kelly, as this allowed the
viewer to easily rotate and view each graph, zooming in to focus on one at will,
without needing to pan to the left or right. Initially, we attempted to put all nine
rows into one ”museum,” in a vertical array, but the speed of rendering was not
adequate. We eventually created a series of ”buttons,” gtb-octa glyphs that could
be selected using the wand in the RAVE. Each button could turn one graph on
or off, allowing the user to select which graphs to view, leading to an enormous
boost in rendering speed. We added several point lights to light the scene. Finally,
we replaced the glyphs used in the graph with gtb-tetras, and developed and used
the low-detail gtb-bubtext, to effectively halve the number of polygons required.