We use a matrix-based visualization to present the relationship between student se- lected majors and students’ best-fit majors. Note that, a gamma expansion (γ = 2.5) was applied to the ratios of majors to keep the cell size of the least popular major (“A&M”) noticeable. The best-fit ratio measures how well the students’ selected ma- jors match their true interests. A bigger value on a diagonal cell of the matrix means more percentage of students in that particular major finds their best-fit. In addition, the order of the majors is sorted in descending order according to the best-fit ratios. The curved lines between matrices represent students’ change of majors, while dark gray lines indicate larger percentage of major changes (> 10%). On the top of each matrix, we use bar charts to compare other attributes. From the visualization, we find:
* There are several other findings can be found in our visualization, we leave them out because of the word limit.
Xiaoyao Xu (email@example.com) Jia-Kai Chou (firstname.lastname@example.org) Kwan-Liu Ma (email@example.com) University of California, Davis 1 Shields Ave, Davis, CA 95616