“SuperSchool” Starter Dataset for Tableau Learners in Higher Ed
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Download v1.1 of the “SuperSchool” higher education Tableau starter dataset here
On June 23, 2021, the quarterly “Higher Education Meet Up” with a focus on Enrollment and Retention was held.
Part of our program included a hands-on introduction to Tableau Desktop activity. To make the workshop more intuitive for a higher education audience we introduced a mock-dataset of simplified admissions and enrollment records. This served as a replacement for the standard Tableau “Superstore” dataset that most Tableau users are probably familiar with.
We’re not sure who in our webinar suggested the term “SuperSchool” dataset, but if you’re out there, let us know so we can give you credit!
We’re making a v1.1 version of this “SuperSchool” dataset available for download here. We’d love feedback and thoughts on how we can improve this dataset for our higher education community of Tableau Users! Please share your comments and thoughts here.
About the dataset:
“SuperSchool” is a CSV file containing ~31k records/rows and 16 fields/columns. Each record represents a single, US domestic student’s application status at the time of fall census for the entering class of 2025 at Connected University.
In addition to application/enrollment stage information, each row contains several demographic characteristics about an applicant, such as their gender identity, FAFSA status, and the distance between Connected University and the applicant’s home city.
The dataset is entirely fictitious with sample characteristics and percentages modeled from the NCES Total fall enrollment in degree-granting postsecondary institutions, by control and classification of institution, level of enrollment, and race/ethnicity of student 2019 table and NASPA’s National Data Fact Sheets on First Generation College Students.
Dan Bradley
Dan Bradley is a Principal Solution Engineer for Tableau’s Higher Education Field Education Team. Based in Chicago, he works with higher education institutions in the Central and mid-Atlantic regions of the U.S. In addition to technology, Dan has a background in education administration, including an M.S. in Higher Education Administration and Policy. Dan's mission is to help the people of higher education become data-reflective practitioners who can see, understand, and act on their data. *Opinions are my own and not the views of my employer*
