This presentation/demo will give an overview of multiple data visualization tools and techniques for displaying data of many types. Data visualization is a crucial part of science communication, presentation quality, and generating impact – learn more what your options are!
Objectives:- Choose between interactive and non-interactive frameworks, as well as programming-based and non-programming based frameworks
- Be able to use plug-and-play visualization frameworks for biomedical datasets
- Understand how to create visuals programmatically as part of a research pipeline
- Develop simple interactive visuals for presentation or web media
- Featured tools include: Tableau, Plotly, ggplot, Matplotlib, D3, and Shiny