Visualizations allow people to readily analyze and communicate data. However, many common visualization designs lead to engaging imagery but false conclusions. By understanding what people see when they look at a visualization, we can design visualizations that support more accurate data analysis and avoid unnecessary biases.

Join UNC Computer Science Assistant Professor Danielle Szafir on Tuesday, Feb. 14, from 12-1 p.m. ET, as she walks us through best practices in data visualization and analysis. We’ll hold a Q&A session with Dr. Szafir at the end of the meeting.

View a recording of the event here.

If you would like to review content from the previous webinars in the series, please click here to watch the recordings.