— Data Visualization in the Social Sciences

Prerequisites & course information

Course Description: Conceptual and technical skills to build data effective, evidence-based figures and graphics for the social sciences using the R programming language. Basic programming for data visualization; R programming language; ggplot2; cognitive approaches to data visualization; frequency distributions; visualizing associations; visualizing uncertainty; piecing plots together; building interactive visualizations. Learning Activities: Lecture/Discussion 3 hour(s), Lecture/Lab 2 hour(s). Enrollment Restriction(s): Restricted to graduate students Grade Mode: Letter. Learning Activities: Lecture/Discussion 3 hour(s), Lecture/Lab 2 hour(s). Enrollment Restriction(s): Restricted to graduate students Grade Mode: Letter.