Statistical Methods: A Visual Approach

An essential task in any compliance analytics workflow is to not only explore your data visually, but also to communicate your results professionally with graphic displays. Do you have the tools and skills to quickly and thoroughly perform these tasks? This course in data visualization will present methods to allow you to interactively discover relationships graphically. We will provide the foundations for creating better graphical information to accelerate the insight discovery process and enhance the understandability of reported results. First principles and the "human as part of the system" aspects of information visualization from multiple leading sources such as Harvard Business Review, Edward Tufte, and Stephen Few will be explored using representative example data sets. We will discuss best practices for graphical excellence to most effectively, clearly, and efficiently communicate your story. We will construct visualizations for univariate, multivariate, time-dependent, and geographical data. Participants are encouraged to bring laptops to follow along demonstrations in JMP (free trial download at www.jmp.com), and open source solutions such as R (https://www.r-project.org) and Tableau Public (https://public.tableau.com/s/).