Context

This data is scraped from IMDB site according to the number of votes they get on IMDB.
It contains 2000 rows and 13 columns.

Content

Data:-

• Poster_Link - Link of the poster that imdb using
• Series_Title - Name of the series
• Runtime_of_Series - Year at which series started to series end
• Certificate - Certificate earned by that series
• Runtime_of_Episodes - Total runtime of the episodes in series
• Genre - Genre of the series
• IMDBRating - Rating of the series at IMDB site
• Overview - mini story/ summary
• Star1,Star2,Star3,Star4 - Name of the Stars
• No of votes - Total number of votes

Inspiration

• Analysis of the IMDB_Rating of a movie vs directors.
• Analysis of the IMDB_Rating 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?