As a member of the ABLE Lab at Carnegie Mellon University, last summer I worked to create visualizations of quality tradeoff explanations. The quality tradeoff explanations are created from machine learning techniques like Principal Component Analysis (PCA), Multiple Correspondence Analysis (MCA), and data trees. I worked to understand the results generated from the machine learning plots and reinterpret them as interactive visualization that would be accessible to a non-expert audience.
