Workshop E (Sunday 8th, 09:30-13:30; Room: 2-Conf9)
Data visualization: principles and practice using Tableau Public and Python
In this workshop, participants will be introduced to principles of data visualization from foundational literature and implement these principles with hands-on activities using Tableau Public and Python (e.g., seaborn and bokeh modules), two prominent free software options for data visualization. The workshop presenters have experience teaching these concepts and content as part of undergraduate statistics and data science curricula, and will use example class projects from these courses. The workshop will be divided into three modules. During the first module, the workshop will cover the building blocks of data visualization theory, including elementary perceptual tasks and the Gestalt principles. Module 2 will introduce participants to visualization in Tableau Public and Python. Module 3 will focus on a case study visualizing international census data from the Integrated Public Use Microdata Series International (IPUMS-I). This workshop is intended for any educator who is interested in learning about and/or teaching data visualization principles and practice.
Bring your own laptop. No programming experience required.
For questions and additional information, contact the first organizer/presenter above.