Robotic synthesis is making possible the synthesis of large, systemati
cally designed sets of compounds. We analyze a 512-compound set that i
s a 2(9) full factorial experimental design using a recursive partitio
ning algorithm, FIRM, and a high-dimension visualization tool, TempleM
VV. These techniques are used to quickly and easily identify the main
trends in the data set and also identify unusual observations. We show
that analytical and visualization methods can be used synergistically
to analyze a large, complex, high-dimensional data set. We also show
that a fractional factorial design of 128 compounds would give essenti
ally the sane information.