Context
IMDB Dataset of top 1000 movies and tv shows.
You can find the EDA Process on - https://www.kaggle.com/harshitshankhdhar/eda-on-imdb-movies-dataset
Please consider UPVOTE if you found it useful.
Content
Data:-
- Poster_Link - Link of the poster that imdb using
- Series_Title = Name of the movie
- Released_Year - Year at which that movie released
- Certificate - Certificate earned by that movie
- Runtime - Total runtime of the movie
- Genre - Genre of the movie
- IMDB_Rating - Rating of the movie at IMDB site
- Overview - mini story/ summary
- Meta_score - Score earned by the movie
- Director - Name of the Director
- Star1,Star2,Star3,Star4 - Name of the Stars
- Noofvotes - Total number of votes
- Gross - Money earned by that movie
Inspiration
- Analysis of the gross of a movie vs directors.
- Analysis of the gross of a movie vs different - different stars.
- Analysis of the Noofvotes of a movie vs directors.
- Analysis of the Noofvotes of a movie vs different - different stars.
- Which actor prefer which Genre more?
- Which combination of actors are getting good IMDB_Rating maximum time?
- Which combination of actors are getting good gross?
