How do we make better graphs? Effective visual communication for the quantitative scientist

CSTAT Data visualization series

Dr. Mark Baillie, Novartis, Switzerland

Effective visual communication (EVC) is a core competency for all scientists who work with data, such as statisticians, pharmacometricians, epidemiologists, data scientists, etc. By using the right graphical principles, we can better understand data, highlight core insights, and influence decisions toward appropriate actions. Without them, we can mislead others and ourselves and pave the way to wrong conclusions and actions. The aim of this seminar is to provide an overview of EVC for quantitative scientists through a series of case studies and exercises, focusing on the key principles have a clear purpose, show the data clearly, and make the message obvious. Illustrative examples will be drawn from medical research, but the course is designed to be general for all quantitative experts communicating data, analyses, and conclusions. The seminar will help put the three EVC principles into practice.

References:

https://graphicsprinciples.github.io/

https://ascpt.onlinelibrary.wiley.com/doi/full/10.1002/psp4.12455