Abstract
Data visualizations can excite and engage students with multivariate thinking about REAL data. Modern software tools, including professional-grade packages and free on-line tools, allow students to interact with data with social, political and environmental importance. This interactivity helps bridge the gap between theory and decision-making with data, fosters intellectual curiosity and exploration of “what if” scenarios, and facilitates the communication of findings and results, as well as addressing several recommendations of the ASA’s 2016 GAISE report. In this talk we’ll explore the role of interactive visualizations in statistical education and will use publicly available data to illustrate dynamic tools for data visualization.