This is an introductory course intended for students interested in the principles of data visualization and their applications with R. Students will explore a wide range of topics using ggplot2 and other packages, including but not limited to:
- Design principles (e.g. visual perception, good practices, basic color theory)
- Animated & interactive graphics
- The importance, selection & evaluation of graphs

We welcome all majors who have completed or are currently enrolled in a course with an introduction to R, such as STAT 20, 33A, 33B, 133; PB HLTH 142 (or equivalent experience such as Data 8 with a willingness to learn R).

Assignments include bi-weekly homework, 2 course reflections, 2 take-home quizzes, and a brief final project. All students will have 9 slip days.

Grading Structure:
35% Assignments:
24% Homeworks (6% each)
11% Final Project
15% Reflections
40% Attendance
10% Quizzes

Our first lecture will be on January 29th 5:00-6:30 in Evans 342. Because we have limited space and resources, prospective students must complete a short Google Form application to assess prerequisite completion and interest. Permission numbers will be given out during the first week of class. Deadline: 1/23 (priority) & 1/26 (final) at 11:59 pm