we can say that we want to aggregate specifically on the ratingand we want to show both the sizethe number of ratings for each movieand the mean average scorethe mean rating for that movie sowhen we do thatwe end up with something like the followingthis is telling usfor examplefor the movie %bmnbujbot people rated that movie and their average rating was starsso not that great of score reallysoif we just eyeball this datawe can say okay wellmovies that consider obscurelike had ratingsbut %bmnbujbot  've heard of thatyou know "ohsz fo  've heard of that it seems like there' sort of natural cutoff value at around ratingswhere maybe that' the magic value where things start to make sense let' go ahead and get rid of movies rated by fewer than peopleand yesyou know ' kind of doing this intuitively at this point as we'll talk about laterthere are more principled ways of doing thiswhere you could actually experiment and do train/test experiments on different threshold valuesto find the one that actually performs the best but initiallylet' just use our common sense and filter out movies that were rated by fewer than people againpandas makes that really easy to do let' figure it out with the following exampleqpqvmbs pwjft npwjf ubut npwjf ubuttpsu@wbmvft sbujoh nfbo btdfoejoh 'bmtf >