• Dataset : https://www.kaggle.com/chasewillden/netflix-shows
• My contribution on data analysis on kaggle : https://www.kaggle.com/jyotsnasweedle/netflix-show-analysis

The given dataset consists of Shows and Movies from the year 1940 to 2017, available on Netflix, a worldwide popular video-streaming application. Shows rated from “G”(General Audiences) to “R”(strong violence, sexual content and adult language) are all included, attracting a wide-range of audience. Details included about each show are rating, rating description, rating level, release year, user rating score, user rating score, user rating size.

There are several missing values in some of the rows. Few rows are repeated. Details regarding Genre are not provided making it difficult to categorize the shows according to these values. A couple of column names are misplaced.

• Basic data cleaning(remove repeating rows).
• Add additional columns(Age restriction, genre)
• Fill in missing values in rows based on most generic values given(missing rating description based on most used description for each rating).

• Trending genre for movies each decade based on show genre.
• Trending rating for shows and movies in each decade.
• What is common among high rated shows/movies?
• Do popular shows or movies have mature content?
• Ratio of popularity for general vs Age restricted movies all together.