Included in our toolkit are also basic visualization scripts that compute summary statistics such as mean, mode, median for debugging and visualization purposes. We compute these features for each element in the dataset and output a breakdown of statistics at the elemental level as well. For visualization, we break down QTAIM descriptors at the global and element level with log scaling for highly-variable features (which is often the case for NCP energies). These tools were created to allow users to filter features with low variability and heavy outliers.