The summary visualization shows the distributions of feature values for selected experiments and compares them to the distributions of the remaining data (see Figure ) . This can be done for the filtered subset, but also for the entire dataset to support handling of large datasets (C1). By selecting the clusters formed during the projection, users can explore the projection space to comprehend a parameter space (T1) and form an intuition. Users can also inspect high-yielding experiments to see which parameter values, or combinations thereof, predict a high yield to identify critical factors (T3).