Visual Data Analysis

If a picture is worth 1000 words, then a graph can illuminate 1000 data points. In this course, we will explore the principles and tools of scientific data visualization, an underutilized but powerful way of understanding patterns in data. Using datasets drawn from a variety of fields such as public health, geography, ecology, political science, and students' choice, we will gently introduce the computing language, R, the premier tool for data visualization and analysis. No previous knowledge of programming is assumed, but by course's end, students will be able to write powerful scripts to analyze and present data in a clear and compelling way. (Pass/Fail)