Principal Research Statistician Developer, JMP Life Sciences Division
SAS Institute Inc., United States
Given the volume of data to review and the variety of analyses to perform, it should come as no surprise that clear insight is often out of reach. In this environment, the traditional means of data summary – tables and listings – are ineffective; visualization is the key to effective communication for the modern age. Ben Shneiderman stated that “the purpose of visualization is insight.” Therefore, the goal of this session is to describe innovative data visualization techniques to aid in the understanding and communication of results from applications in the life sciences.
Learning Objective : 1. Identify noteworthy patients or sites using a combination of statistical and graphical techniques
2. Describe the degree to which each individual variable contributes to an outlier
3. Explore important variables to determine if intervention is necessary to correct potential errors
Understanding Our Brain’s Graphical Superpowers Leads to Amazing Data Interpretation