Description: Traditionally, data analysis has required extensive expertise in math and statistics combined with training in complex software applications like SAS, Matlab, and the R programming language. Recently, however, new technologies and services have emerged that make it possible to work with raw data using web applications with simple visual interfaces. These visually compelling tools allow researchers to quickly see and communicate relationships between diverse trends, like the correlation between weather and burglary. This session will include a brief review of the visualizations built into traditional statistical software packages like R and Matlab followed by a demonstration of three new web-based tools applied to three real research topics. The session will conclude with a panel discussion with Richard Landry, CEO of Conquest Systems, a pioneer in creating readily usable data libraries.