Multi-directional market value analysis of films : Visual data processing based on Python

This article will be based on the data of Douban and Maoyan platforms, using python to analyze the box office, investment amount, movie types, the popularity of actors and directors and ratings of movies to measure the market value of movies. According to the relationship reflected in the data, we found that the most important driving force influencing the market value of movies is famous actors, followed by famous directors. In addition, the amount of investment is also an important factor for movies, but it is not a necessary factor. In the end, we came to conclusion that in order to improve the market value of movies, we must first work hard on the content. In addition, the participation of famous actors and famous directors, and the increase in investment amount will also greatly increase the market value of the film.