JS 304 - Data Visualization

Techniques for creating effective visualizations of data based on principles from graphic design, psychology, and statistics. Topics include statistical graphics and information graphics (or infovis) for univariate and multivariate data,
visual encoding models, exploratory data analysis, visualization software, interaction techniques, graphical perception, color, animation, high-dimensional data, cartography and spatial data, network visualization, and text visualization.

Credits: 4

Prerequisites/Restrictions: Juniors and Seniors Only

LSC/Core: NA/Junior Seminar

Notes: Counts as Major/Minor Elective in: Statistics, Data Science