This repo explores a dataset (test & train), which contains over 10000 movies and a variety of metadata obtained from The Movie Database (TMDB). The analysis was done by r and it aims to answer some specific questions as follows:
- Does series do better business? Which are the best series in terms of business?
- Can low budget movie be a success? Which are Top 10 Expensive movie but unseccessful? Which are Top 10 low budget successful movie
- Are multi-genre or single genre more popular? Which genre attracts more money? What genre produce most movie?
- Top movies producing countries and companies? What genre they produce most?
- How release time affects the success of the movie?
- How other language compare with english? Does being multi-language help?
- Why production companies care about tagline and creating homepage?
The datasets can be found here - https://www.kaggle.com/c/tmdb-box-office-prediction/data
“Cinema is the ultimate pervert art. It doesn't give you what you desire - it tells you how to desire.” ― Slavoj Žižek