snehalnair/MovieLens_Exploratory

The purpose of this study is to look at the distribution of ratings, movie and users over time, impact of user mood on average rating score and average rating score of genre over time. The analysis is divided into 4 di↵erent 5-year batches to run analysis on sections of data. It was found, the growth, trend and level are stable after the first 5 periods (i.e. after the year 2000). With frequency of rating showing high correlation to new movies and users added, trend for rating over time shows combining e↵ect of growth in user and movie base . Further, weekday-weekend analysis show most of the ratings (approx.70%) are happening over the weekdays. For average rating score, a notable observation is, the shift in the rating pattern for the last batch(latest batch, 2011-2015). In this batch approximately 50% of the rating scores are average and the 25% each for poor and high rating scores in comparison to the other batches where it was 80-20 between average and high/poor rating scores. In the genre analysis it was found 9.4% times users rated genre below 3, 17.5% times for high and 70% times average.