B.S. (Bachelor of Science)
Department of Operations Management and Information Systems
The purpose of this project is to analyze College of Business Passport Program data. The Passport Program does not have the current resources to analyze their own data. The purpose of this project is to analyze College of Business Passport Program data. This project is focusing on data from the last academic year, August 2018 – May 2019. This analysis consists of basic statistics using Excel, pivot tables and pivot charts using Excel, regression analysis using Excel and SAS Enterprise Miner, visualizations using Tableau, and data stories using Tableau. Through my analysis I discovered gender, academic level, major, and GPA all impact the amount of passport events a student attends. Females attend more events than males. Seniors attend more events than any other academic level. Management – Leadership and Management majors have the highest average attendance. Also, the lower someone’s GPA, the less events they attend. This project will impact the Passport Program because they will have the data to support that the program is positively impacting the students. It will also help the program know how many events in each continent they are having, which continents have the highest attendance, and which factors influence the number of events someone attends. Link to Tableau Public file: https://public.tableau.com/profile/abby.burke#!/vizhome/DataAnalysisonCollegeofBusinessPassportData/FactorsEffectingPassportAttendance?publish=yes
Burke, Abigail R., "Data Analysis on College of Business Passport Data" (2019). Honors Capstones. 371.
Northern Illinois University
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Link to Tableau Public file: https://public.tableau.com/profile/abby.burke#!/vizhome/DataAnalysisonCollegeofBusinessPassportData/FactorsEffectingPassportAttendance?publish=yes