A large amount of student enrollment data at Illinois is available publicly, and some datasets date back to as early as the 1960s. Despite the vast amount of data being available, it is difficult to truly analyze and interpret the data as a whole in its current form. Although the recent data are stored in csv format, older data are stored in html, or even scanned pdfs.
Illinois has one of the largest international student populations in the US, and attracts over a third of its students from out of state. We thought it would be interesting to see the gender, race, and college breakdown at different geographical levels, and visualize where our classmates are coming from.
In order to do this, we break down the data into world, state, county and college levels and allows the users to interact with the data. Users can also explore the detailed view at each level, which provide visualizations of the aforementioned gender, race, college, and also yearly growth for the selected level.
This project was created by Clay Gregory, John Lee, and LJ Wong in Apr 2013 as part of CS467: Social Visualization, instructed by Karrie Karahalios at the University of Illinois at Urbana Champaign.
Some values presented in the visualization are estimates due data suppression in the provided records, preserving the privacy of individuals. For these instances, we have noted when data has been estimated.
Due to the scale of presented maps, several geographically small countries/regions have been merged. For example, Singapore and Malaysia are displayed as a single entity, as is Hong Kong, Macau, and China.
Data was compiled from the following sources:
We especially want to thank Chris Lehman and the Division of Management Information at the University of Illinois for working with us in providing specific datasets used in this project.