0 or 3 credits
Fall 2026 Lecture Upper Division
The course offers an introduction to the fundamentals principles, design strategies, and techniques needed to visually communicate, explore, and analyze data. The course focuses primarily on the visual representation of inherently non-spatial data (e.g., tables and spreadsheets, graphs and networks, trees, text, and time series), but also considers the visualization of maps and of data in geospatial context.
Learning Outcomes1Describe the main visualization techniques and explain their strengths and limitations.
2Select the most perceptually effective visual encoding for a given data attribute.
3Perform a principled critique of an existing data visualization.
4Design an effective data visualization solution for a given data set to address a specific data analysis objective.
5Create interactive web-based visualizations using open-source software libraries.
Prerequisites
Restrictions
made by Purdue students.