This visualization uses a multi-view approach based on rankings to display the evolution of students’ measured interests over time from different perspectives and levels of detail. The slopegraph in top-left corner provides a first level of detail revealing the changes in the position of majors at three points in time and their absolute number of students. Plotting the majors by number of students’ totals on the parallel vertical axes automatically encodes their ranking with connecting lines joining the points together highlighting the transition (colour encoding each major to avoid the “pile of sticks” phenomenon). Taking into account these numbers, an analyst can move to the barchart in bottom-left corner to see the ranking of the best-fit majors based on the Interest inventory. This barchart, which uses the same colours as the slopegraph, allows to envision how top-ranked majors match up better with declared majors upon entering the Freshman and Sophomore academic years than with planned majors during the Junior or Senior year of high school. To deep in the reasons of such changes, the multiple stacked barcharts in the top-right side of the visualization provide a second level of detail showing the ranking of majors based on the interest-major fit index by each point in time and by gender. Based on them, it is possible to ascertain again the changes between the Freshman and Sophomore academic years and the Junior or Senior years of high school. Similarly, two different types of heatmap (using size-encoding and colour- encoding) are displayed in the bottom area of the visualization. They allow perceiving students’ density for each major by ACT composite score and type of college.
Name: Rosa Romero Gómez Affiliation: University Carlos III de Madrid (Spain) Email address: email@example.com Postal address: Avda. De la Universidad 30, 28911 Leganés, Madrid (Spain)