Best Practices in Data Visualization
Monday, February 24, 2025 10:00–11:00 AM
- DescriptionFacilitator: Krista K. Westrick-Payne, PhD, Assistant Director, National Center for Family & Marriage ResearchSession Type: DemonstrationSession Category: ScholarshipDuration: 1 hourLocation: Online via ZoomDescription & Learning Outcomes:Join this fourth session in the Quantitative Data Analysis & Visualization Series facilitated by the Center for Family and Demographic Research to learn how to master data visualization! Learn the art and science behind creating impactful visualizations, blending neuroscience and psychology insights. Discover design elements, explore the basic principles for accessibility, and learn how to tailor your visual communication to your audience. Elevate your data presentation skills and unlock the potential of your data in this illuminating session!In this session, you will learn how to:Explain the neuroscience and psychology behind data visualization. Identify different types of design elements used in data visualization. Apply basic design principles to create accessible visualizations for diverse audiences. Communicate your data visually with your specific audience in mind. To register for this event, use the Spring 2025 Quantitative Data Analysis & Visualization CFE Session Registration Form.Advance registration is required. Registration will close one business day before the scheduled event. You will receive an Outlook invite with the Zoom link (if applicable) one day before the event.To find out more information about this event, visit the Session Catalog page of the Center for Faculty Excellence (CFE) website.If you have any questions about this event, email the CFE at cfe@bgsu.eduIf you need special services, assistance or appropriate modifications to fully participate in the event, please contact the CFE office or Accessibility Services at access@bgsu.edu or 419-372-8495. Please notify Accessibility Services and/or the CFE office prior to the event.
- Websitehttps://events.bgsu.edu/event/best-practices-in-data-visualization