Visit our submission at: http://goo.gl/dkiLEa
For our submission, we focused our design around an interactive infographic that could reveal patterns in ACT scores, College Majors, Interest Levels, and Gender. Our infographic centers around a chord plot that reveals where students enter/leave majors from. In our example image, we highlight engineering. Chords colored with the engineering color (brown), mean students are leaving engineering to enter into the connected major, chords colored in another color indicate students enter engineering. The plot on the right shows the gender and ACT score distribution of engineering majors. The parallel set plot on the bottom shows how students’ major fits change between the time they first take the ACT (their “planned major”) to their first year and second year interest in college. User can change the source and target in the chord by dragging years in this parallel set plot. All plots can be filtered to reveal details by selecting an ACT score and/or a gender. In this image, we chose to focus on engineering. Here we see that engineering is split between students both entering and leaving. Also of interest is the gender inequality and a larger portion of high ACT scores compared to other majors. Finally, we can explore the interest-major fit for engineering and observe that a large portion of engineering students have worse fit to their majors while higher ACT scores they got. Female students also got higher scores than their male competitors. This is quite different from the stereotype of female students in engineering. Among the students with highest scores, the student transferred from Science departments played an important part. And the students transferred in the opposite direction also showed good performance.
Feng Wang (firstname.lastname@example.org) and Ross Maciejewski (email@example.com) Feng Wang (Student) 699 S Mill Ave, BYENG 342AF Tempe, AZ 85281