Data Analysis: Investigating the TMDb movie data set
There are two datasets in the TMDb Dataset that provide information about 5000 movies collected from The Movie Database (TMDb) and movie credits data that includes user ratings and revenue.
Attributes in each dataset:
- tmdb_5000_movies.csv
- budget
- genres
- homepage
- id
- keywords
- original_language
- original_title
- overview
- popularity
- production_companies
- production_countries
- release_date
- revenue
- runtime
- spoken_languages
- status
- tagline
- title
- vote_average
- vote_count
- tmdb_5000_credits.csv
- movie_id
- title
- cast
- crew
Questions we may ask about the dataset:
- Do some movies from certain production companies attain more revenue when released in certain months of the year?
- What is the trend for movies from some production companies acheieving more popularity than others?
- How does genre affect movie revenue?
- Are more popular movies also better rated?
- Do some genres perform better when released in certain times of the month?
- Do highier vote averages correspond with highier revenue?
- Are genres that are produced the most more profitable than others?