— Data Management & Visualization in R

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Introduction to programming and data analysis in R. Workflow (version control, markdown, reading and writing data), object-oriented programming, statistical analysis, and visualization. Learning Activities: Lecture 2 hour(s), Laboratory 2 hour(s). Cross Listing: ECL 224 . Grade Mode: Letter. ENV 224 — Data Management & Visualization in R (3 units) Course Description: Introduction to programming and data analysis in R. Workflow (version control, markdown, reading and writing data), object-oriented programming, statistical analysis, and visualization. Learning Activities: Lecture 2 hour(s), Laboratory 2 hour(s). Enrollment Restriction(s): Pass One open to Environmental Policy & Management, Transportation Technology & Policy, and Ecology majors. Cross Listing: ECL 224 . Grade Mode: Letter. This course version is effective from, and including: Fall Quarter 2026. Learning Activities: Lecture 2 hour(s), Laboratory 2 hour(s). Cross Listing: ECL 224 . Grade Mode: Letter. ENV 224 — Data Management & Visualization in R (3 units) Course Description: Introduction to programming and data analysis in R. Workflow (version control, markdown, reading and writing data), object-oriented programming, statistical analysis, and visualization. Learning Activities: Lecture 2 hour(s), Laboratory 2 hour(s). Enrollment Restriction(s): Pass One open to Environmental Policy & Management, Transportation Technology & Policy, and Ecology majors. Cross Listing: ECL 224 . Grade Mode: Letter. This course version is effective from, and including: Fall Quarter 2026.