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Event Detail

Implementing Data Visualization Techniques

Monday, March 24, 2025 10:00–11:00 AM
  • Description
    Facilitator: 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 the final session in the Quantitative Data Analysis & Visualization Series facilitated by the Center for Family and Demographic Research. Learn how to merge art and science to create impactful visualizations. Discover the different types of visualizations you can create, some basic dos and don’ts (with examples), as well as different programs in which to create visualizations. Learn how to use data to tell a story with charts and figures in this informing session!In this session, you will:Identify different types of charts and figures and when to use them. Integrate basic design principles in creating charts in Excel. Explore other programs and platforms available for visualizing data. Please note: Many of the examples provided during the session will be in Excel so having a basic understanding of the program will be useful.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.
  • Website
    https://events.bgsu.edu/event/implementing-data-visualization-techniques

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