This Python code analyzes a dataset of movies and tests two hypotheses:
- The correlation between budget and gross earnings
- The correlation between gross earnings and votes
The most significant finding of the analysis is that the gross earnings of movies are highly correlated with the budget and votes (0.74 , 0.61). These results can be useful for filmmakers, studios, and investors looking to make informed decisions about the production and marketing of movies. By investing in higher-budget films and promoting them to a wider audience, filmmakers and studios can increase their chances of achieving box office success.
using open-source data of 220 movies
Data time: 1986-2016.
Link to dataset: https://www.kaggle.com/datasets/danielgrijalvas/movies