The goal of the Sandia National Laboratories Computer Science Clinic project was to create a tool for simultaneously visualizing several different reductions of multi-dimensional data sets. We also analyzed these sets using geometric techniques and clustering. To assess clustering fitness, we implemented validity metrics that quantitatively compare solutions and algorithms in various ways. The tool was given to Sandia and was used to analyze data sets ranging from journal citations to popular music.