Python
TMDb Ratings
Movie length vs Audience rating
The correlation between length and average vote is 0.352. The takeaway is that although there is some positive correlation between movie duration and rating, the relation is not very strong. By looking at the graphic, it is possible to assess that long movies, over 150 minutes, tend to have higher ratings than the average, 6.17.
Genre vs Audience rating
By the boxplots below, there does not seem to be a very strong relation between genres and ratings. The horizontal red line represents the mean of the vote average for all the dataset and all genres means are very close to the line.
Budget vs Audience rating
Looking at the graphics below and taking into account the correlation coefficient between budget and ratings, 0.037, it is clear that there is no linear relation between the variables.
References
About the dataset
This dataset is cleaned from an original dataset from Kaggle and contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings.
About the Jupyter notebook
The notebook is divided in four sections, Introduction, Data Wrangling, Exploratory Data Analysis, and Conclusions.