luther
Movie data visualization with D3.js!
##Analyzed data from 3,500 movies
- data collection:
- collected top 100 grossing movies from years 1980-2015
- original data from BoxOfficeMojo
- additional data from IMDB, The-Numbers, RottenTomatoes, Metacritic
- Tools: Selenium, BeautifulSoup
- data analysis:
- cleaned data with python and pandas
- linear regression analysis with Statsmodel, SciKit-Learn
- visualization with Seaborn and Matplotlib
- conclusions:
- tried to predict which genres of movies would yield highest gross box office revenue to budget ratio
- which movies would generate the highest investment return multiple
- found that horror, family, and highly rated comedy movies generate highest Beta values for this metric
- makes sense because these genres tend to be low budget, but have the potential to make a lot at the box office
- tried to predict which genres of movies would yield highest gross box office revenue to budget ratio