Analysis of the influence factors of global film box office based on a log-linear model

Abstract

In this paper, python is used to obtain the data of the top 100 global movie ticket rooms, and through data visualization, it is concluded that the global movie box office will peak in the next 10 years. Science fiction action movies are more popular. r-language was used to construct log-linear models, respectively. The results of the random unit group design model showed that science fiction action movies were more favorable to the box office. Through k-means clustering analysis, it was concluded that the guidance of well-known directors had more positive effects on the box office. According to the above conclusions, the major cinemas and film and television companies make relevant suggestions.