Data Visualization Analysis Based on Airline Passenger Satisfaction Experience

This paper is mainly about the analysis of passenger satisfaction data of airlines. The data set downloaded from Kaggle is the data of an American airline. Based on this data set, data is cleaned and redundant feature values are deleted through data preprocessing, and then data is visualized. For example, the histogram, heat map, scatter plot, box plot and other data are visualized to analyze the characteristic value of passenger satisfaction and the influence of each characteristic value on passenger satisfaction, so as to determine which characteristics can more affect passenger satisfaction. It can prove the differences among some factors such as airline service quality, on-time rate of flight, online class service, seat comfort and cabin registration. In turn, it can put forward targeted suggestions to airlines to improve their competitiveness and provide passengers with better and more personalized services. Provide data support for airline service optimization.