Visualizing your data is a crucial component of research, as it allows you to verify, explore, and communicate your findings more effectively. This session teaches principles for effective data visualization, outlining easy-to-implement principles both for exploring data and for transforming data into charts and graphics that effectively communicate research findings.
This session is geared toward researchers looking to understand the principles behind effective visualizations. Researchers should be able to translate the concepts to the language or plotting tool of their choice and should view this talk as a springboard for the later hands-on “how to” sessions in Python, MATLAB, and R.
Participants will learn general guidelines for creating effective visuals (commonly referred to as charts, graphs, plots, etc.) for both the exploratory and reporting phases of research.
None
None
Presentation
All presentation materials are here.
This session was NOT recorded.