Abstract
This paper selected the consumption data derived from the student campus card of the School of Management Science and Engineering of Anhui University of Finance and Economics as the research object. Initially, data cleansing and classification were conducted using Python and Excel. Subsequently, the Matplotlib library was utilized to visually analyze both overall data of student consumption and the dining data with its higher proportion. Through the in-depth study of the campus card data, a thorough understanding of students’ dining patterns was achieved. Furthermore, the study recorded fluctuations in cafeteria footfall at various times of the day, providing valuable reference for optimizing resources and informing management decision-making regarding the school canteen from multiple perspectives.
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