Data Visualization: An Introduction|
Fall 2017 not offered
|Certificates: Applied Data Science|
|Course Cluster: Data Analysis Minor|
This course will introduce students to the principles and tools necessary to present quantitative information in a visual way. While tables and graphs are widely used in our daily lives, it takes skill to deconstruct what story is being told. It also takes a perceptive eye to know when information is being misrepresented with particular graphics. The main goals of the course are for students to learn how to present information efficiently and accurately so that we enhance our understanding of complex quantitative information and to become proficient with data visualization tools. Beginning with basic graphing tools, we will work our way up to constructing map visualizations and interactive graphs. This course will require a substantial amount of computation in R. No prior programming experience is necessary, but learning does require willingness and time.
||Gen Ed Area Dept:
NSM QAC, SBS QAC|
|Course Format: Laboratory Course||Grading Mode: Graded|
||Fulfills a Major Requirement for: (CADS)(DATA-MN)
Howard, Wainer, GRAPHIC DISCOVERY: A TROUT IN THE MILK AND OTHER VISUAL ADVENTURES, (accessible online through Wesleyan library).
Teeter, Paul, R COOKBOOK
Yau, Nathan, DATA POINTS: VISUALIZATION THAT MEANS SOMETHING, (accessible online through Wesleyan library)
Yau, Nathan, VISUALIZE THIS: THE FLOWING DATA GUIDE TO DESIGN, VISUALIZATION, AND STATISTICS, (accessible online through Wesleyan library)
|Examination and Assignments: |
This course will have several homework assignments, a midterm, and a semester-long project and an accompanying final presentation. Part of the grade will depend on class participation/preparedness.