Data Visualization Workshop

Katarína Furmanová: Pitfalls and Best Practices of Data Visualization 

Data visualization is a powerful tool for scientific communication. However, while good visualizations enhance understanding, poor ones can lead to serious misinterpretation. In this session, we will investigate common mistakes in data visualization, such as misleading charts, cluttered designs, and poor color choices. Subsequently, we will look at strategies and best practices, that will give the attendees a theoretical foundation for designing useful visualizations.

Jan Byška: Data Visualization in Action: From Theory to Application

This workshop intends to bridge the gap between theoretical knowledge and practical implementation of data visualization techniques. Building on the principles discussed in the preceding lecture, participants will engage in interactive exercises designed to translate theoretical principles into actionable skills. Through practical examples, attendees will gain hands-on experience in creating visualizations that they can apply to their own data.