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Course Details

2018 Summer
* POL 245 (QR)   No Audit

Visualizing Data

Will Lowe

Equal parts art, programming, and statistical reasoning, data visualization is critical for anyone who seeks to analyze data. Data analysis skills have become essential for those pursuing careers in policy evaluation, business consulting, and research in fields like public health, social science, or education. This course introduces students to the powerful R programming language and the basics of creating data-analysis graphics in R. We use real datasets to explore topics ranging from networks (like trade between countries) to geographical data (like the spatial distribution of insurgent attacks in Afghanistan).

Sample reading list:
Imai, Kosuke, Quantitative Social Science: An Introduction
See instructor for complete list

Reading/Writing assignments:
Students are required to read assigned chapters of a textbook prior to the class. There will be several problem sets that ask students to analyze data and interpret the results.

Programming Assignments - 15%
Oral Presentation(s) - 20%
Class/Precept Participation - 15%
Problem set(s) - 50%

Other Requirements:
Open to Freshmen Only.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
10086 L01 01:30:00 pm - 02:30:00 pm M W        Enrolled:0 Limit:40
10086 L01 10:30:00 am - 11:50:00 am F        Enrolled:0 Limit:40
10087 P01 01:30:00 pm - 02:50:00 pm T Th        Enrolled:0 Limit:14
10088 P02 01:30:00 pm - 02:50:00 pm T Th        Enrolled:0 Limit:14
10089 P03 01:30:00 pm - 02:50:00 pm T Th        Enrolled:0 Limit:14