Making Sense of Data VisualizationFriday, July 15, 10:30am - 11:30am EST
Presented by Justin Joque, University of Michigan Library, Ann Arbor, MIModerated by Kristin Fontichiaro, University of Michigan School of Information, Ann Arbor, MI
Data visualization is first and foremost a sense-making process; it is a means by which we extract meaning from complex datasets. This presentation will explore the ways that data can be transformed into visual representations and how we can make sense of these visualizations. Discussion will include a variety of types of visualizations and when they are most effective. This talk will briefly include information about tools for making data visualizations, but the focus will be on how to read and understand them. The conclusion will discuss ways in which data visualization and data literacy can be taught in the classroom.