Visualizing Uncertainty as Hypothetical Outcomes for Comparison

Datalab Faculty

Jessica Hullman

Project Description

Variation and uncertainty are unavoidable in data analysis but most people have trouble incorporating uncertainty into their interpretations of a data set. This project aims to identify the design constraints and experimentally evaluate the usefulness of a technique that depicts uncertainty as a set of alternative possible outcomes. The outcome plots are presented in an animated or interactive format, so that the user can gain a better sense of the potential for variation in the data by watching possible outcomes "play out".