Visualization of Campus Card Consumption Data

The wide application of campus card in campus life has produced a lot of data. The data view expresses data in a simple and understandable way to provide users with the information they need. Based on the strong cognitive ability of human beings to detect, analyze and understand graphic patterns, compared with other traditional data analysis methods, users can more easily capture data features from data views. Based on the consumption data of a college canteen, this paper analyzes the composition dimensions of the data, preprocesses the consumption data, designs a data analysis model based on individual students, stalls and the restaurant as a whole, and realizes the visualization of campus card consumption data with the overall picture of the restaurant, the overall picture of the stalls and the personal consumption picture based on python language.