Visualizing Data

View the video for POL 245: Visualizing Data, taught by Kosuke Imai. One of two credit-bearing courses taken by students enrolled in Princeton’s Freshman Scholars Institute, “Visualizing Data" is an immersive, precept-based course in which students work together to consider ways to illustrate compelling stories hidden in a blizzard of data. Equal parts art, programming, and statistical reasoning, this course introduces students to the powerful R programming language and the basics of creating data-analytic graphics in R. 

Students use real datasets to explore topics ranging from network data (like social interactions on Facebook or trade between countries) to geographical data (like county-level election returns in the US).