IMDB Movies Dataset

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

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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
• No_of_votes - 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 No_of_votes of a movie vs directors.
• Analysis of the No_of_votes 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?