I extracted this data to find the unpopular movies on Netflix. The dataset I used here comes directly from Netflix movies data, which consists of 4 text data files, each file contains over 20M rows, over 4K movies, and 400K, customers. Altogether over are 17K movies and 500K+ customers!
I made some modifications and I extracted the e df_avgRating_with_usersCount.csv
from the original data after applying some mathematical operations to get the average ratings and the count of users who made the ratings for each movie in movie_id
below. Feel free to browse and use the data within your notebooks.
Here you could find my previous notebook on Kaggle to extract the dataset