Join us for an exploration of core principles of data visualization and their application within library settings. This session will introduce fundamental concepts and techniques for visualizing both qualitative and quantitative data. We will cover visualization methods, including charts, graphs, and infographics, and discuss how these tools can enhance data storytelling, support decision-making, and create meaningful visual representations of library data.
By the end of this session, attendees will be able to:
Understand key principles of effective data visualization
Recognize and differentiate between various visualization types and their best uses for qualitative and quantitative data
Assess the effectiveness of different visualization methods in communicating complex library insights
Jordan Packer (she/her) is a data analyst and educator based in Brooklyn, NY. As the Senior Data Analyst for the Assessment Program at Columbia University Libraries, Jordan leads library assessment and analytics initiatives, supports colleagues in their own assessment projects, and collaborates with staff to effectively build data analysis tools. Additionally, Jordan serves as a part-time faculty member at the Parsons School of Design, where she teaches undergraduate courses, such as Information Visualization and Politics and Ethics of Design.