DATA VISUALIZATION ANALYSIS: SCHOOL OF DANCE BOX OFFICE SALES

Abstract

The box office currently completes a variety of analyses on season ticket subscriber data, so this project aims to analyze different aspects of the box office sales from 2013 to 2020 to provide insights and findings to improve season ticket subscriptions and revenue for the University of Arizona School of Dance. The data comes from a dataset of over 34,000 records looking at accounts that purchased tickets to dance performances over the past seven years. There is information on ticket buyers; season ticket subscribers; number of seats sold; and the paid amount to the box office.I used several visualizations to display the data including bar charts, line graphs, pie charts, and maps. They all tell a story about the data, and I have included explanations, insights and rationale where necessary. This project evolved over time as I met with stakeholders, created project learning objectives, collected related data, analyzed and then organized it in Excel. The final step was to create visualizations in Tableau to review the data in a more digestible way. From there, I drew conclusions and made recommendations for the University of Arizona School of Dance to expand geographically and attract other ticket buyer groups among other improvements. I gained data analysis and visualization skills throughout this project and will continue to use these in my future career.