Given an image, it's the visual that delivers the impact, not the RGB code (e.g., 0, 180, 0). Actuaries solve problems with numbers, but the message of the solution can be amplified or demystified through good visualizations. This session explores various types of plots and their use cases in several actuarial contexts. We will also attempt to collectively find the kind of plot(s) and some best practices that best communicate the intended message via interactive polling from the audience.
Learning Objectives:
Understand basic theories and principles of data visualization and what constitutes a “Good Chart”.
Apply the learning from this session to create desired visuals. We will use R ggplot for practical demonstration, but the same principles can be extended to other platforms.
Evaluate the appropriateness of a visualization in a given context and propose ways to improve it.