Human researchers possess domain expertise combined with intuition from their aggregated prior knowledge, both of which are unrivaled by machine learning to-date. Machine learning thrives in its scalability to large datasets that exceed the memory capabilities of a typical human. The MEKG can assist the human in exploration of such large datasets through intuitive visualizations. Figure shows images of the MEKG at select moments during a graphical data exploration exercise, for which the full video is available in the mekg-migrations repository (see Code Availability). This interactive visualisation demo commences with viewing all samples that contain Pd or Al (Figure ), focusing on samples that contain both (Figure ), and then viewing their experiment provenances (Figure ). In this last step, the sub-graph for each sample is expanded to show the analyzed electrochemical current density, for which a color legend is assigned to demonstrate simultaneous visualization of performance and experiment provenance.