Statistical Uncertainty: From Quantification to Visualization
Statistics are commonly used to quantify and visualize uncertainty in data sets. In this talk, I will explore the use of statistics in understanding complex problems and describe the look of typical datasets created in this way. From there, I will discuss challenges of displaying these complex data sets, and statistical measures specific to expressing uncertainty within visualization. The remainder of the talk will focus on visualization methods, including a recounting of historical methods from the field of graphical data analysis including the boxplot, as well as an overview of methods from scientific and information visualization. Examples of current state-of-the art methods will be presented and a discussion of pending challenges in need of further exploration.