“…There is a robust literature in computer science on data and visualization literacy, where the latter often refers to the ability of a person "to comprehend and interpret graphs" [65] as well as the ability to create visualizations from scratch [20]. Research in this area often includes devising methods to assess this form of literacy [4,15,66], to investigate how people (mis)understand visualizations [21,22,81], or to create systems that help a user improve their understanding of unfamiliar visualizations [1,3,20,87,95,96]. Evan Peck et al [82] have responded to this literature by showing how a "complex tapestry of motivations, preferences, and beliefs [impact] the way that participants [prioritize] data visualizations," suggesting that researchers need to better understand users' social and political context in order to design visualizations that speak powerfully to their personal experience.…”