Hi, and welcome!

@andresrcs and @gueyenono's examples of a reproducible example, called a reprex will get you started on the second part of your question, producing a boxplot from data similar to yours disaggregated into genres with some measure (he used average) of ratings.

The first part, *how* to disaggregate the first column is more interesting. A year ago, I worked on the movielens dataset, and I've uploaded a small, grouped by genres subset of fifty records with the same `genres`

field and the `ratings`

expressed as the number of ratings received for the combination of genres. The data can be loaded with

```
movies <- read_csv("https://gist.githubusercontent.com/technocrat/b5a78af6c174eb983b95a19659b83a33/raw/ab0664b1ac314902b2e130aae43e9f71214de43f/movielens.csv")
```

Now, to clarify the question: Are you interested in grouping by *combinations* of genres "Action | Drama | War" or by each genre (which means greater weight to the ratings of multiply classified movies)? When I did my analysis, I settled on the first genre, but that was only one of many choices I could have made.

Finally, how many records will you be working with, is your data derived from `movielens`

and is this homework (in which case see, homework policy).