Netflix is a data-driven company. They use analytics to help decision-makers around the company make smarter decisions, so that everyone can shine in their area of expertise.
With this objective myself and my friend Ms Mini Verma ( You can reach out to her @ https://www.linkedin.com/in/mini-verma-a9ba96189/ ) did the project in collaboration on analysis of Netflix Data. I am very much thankful to Mini for collaboration & sharing her expertise.
We analyzed data with intention to find,
- How many titles were there?
- How many shows/movies were there?
- What is Average imdb score ?
- What is Average tmdb score
- Find Top shows/ movies by imdb score ?
- Find Top shows/ movies by votes ?
- Find Top shows/ movies by tmdb score?
- Find Top N shows/ movies by Genre
9 ) Year wise count of release of movies/ shows
We Found some insights :
- In the period 1954 to 2022 majority type of titles released were, "Movies".
2019 was the year when t had max count of release. This count went on decreasing then. Maybe Covid was
the reason for this
- Most productions are from "US"
- Boman Irani and Kareen Kapoor were the actor/actress to get max no of movies/shows
- Though Inception was top imdb voted movie (2.3M), Breaking Bad got top imdb score
- Incantation has highest tmdb popularity
- Mostly title were of first genre "Comedy"
- Apart from US and India, other countries have less release on Netflix, so Netflix can increase revenue by having title release from other countries