Instructor: Abhijit Dasgupta, PhD

Course description

This course will provide a short introduction to the R statistical programming language, and then expose students to different packages in the R ecosystem that create both static and dynamic data visualizations. During this exploration, students will explore what makes a graph “good”, and what can make it “bad”.

Students will be expected to do at-home studying and complete class assignments in preparation for subsequent classes. This will be a rather intense 7-week course. Students can also work together to facilitate understanding, and share questions and answers on the class Slack channel.

Grades are based on completing homework, class participation, and a final presentation based on your own data and your own work, showing how you can use data visualizations to help express the (scientific) story.

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