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This data analysis project provides a comprehensive and insightful exploration of Netflix's vast and complex streaming ecosystem. Utilizing various data visualization techniques and analytical tools, the project offers a unique perspective into the entertainment trends, user behavior, and content preferences of Netflix's global audience. From analyzing the top genres and titles to exploring the age ratings and durations of movies, the project offers valuable insights into the streaming giant's data, shedding light on the ever-evolving landscape of modern entertainment.
Here are the questions I tried to answer:
What are the most common genres of content on Netflix?
Are certain genres more popular in certain countries?
How has the length of movies or TV shows on Netflix changed over time?
The number of movies on Netflix, based on the released year.
What is the distribution of content by age rating?
Project Steps:
The columns were: show_id, type(movie/Tv show), title, director, cast, country, date_added, release_year, rating (PG/R/TV), duration, listed_in(Genre), description
Then I added a new custom column in data-view with nested -if : Duration_type = IF(netflix_titles[duration.1] >= 1 && netflix_titles[duration.1] <= 15, "Season", IF(netflix_titles[duration.1] > 15 && netflix_titles[duration.1] <= 30,"Less than 30 minutes", IF(netflix_titles[duration.1] > 30 && netflix_titles[duration.1] <= 60,"30 to 60 mins", IF(netflix_titles[duration.1] > 60 && netflix_titles[duration.1] <= 120,"1-2hour", IF(netflix_titles[duration.1] > 120,">2 hours") ) ) ) )
added new table for measures: To find the count of movies, Tv shows from column[type] :