Define a new column for genre of the movie

[cderv]

Thanks for trying.

View open the viewer in RStudio - no need to use it in a reprex.
You can use read.csv but in this case you need to provide the csv file. Without the csv file, I do not have the data at hand.
Otherwise, create a subset of your data in R code, not in a csv file. Follow advice on best pratices for non built in dataset. (dput in base R or datapasta can help you)

Best Practices: how to prepare your own data for use in a `reprex` if you can’t, or don’t know how to reproduce a problem with a built-in dataset?

@EconomiCurtis split this out of FAQ: What's a reproducible example (`reprex`) and how do I do one?. Curious if you have anything additional to add specifically on "how to prepare your own data for use in a reprex if you can't, or don't know how to reproduce a problem with a built-in dataset." I think @jessemaegan's post is about 80% there. The piece it is missing, if your average stack overflow post is any indication, is an explanation about how to prepare your own data for use in a reprex if you can't, or don't know how to reproduce a problem with a built-in dataset. Some handy things to know for this situation: deparse() The ugly as sin, gold standard: head(my_data, 2) %>% depa…

You can also recreate your data by hand. tribble can help you.

If you have improvement in mind on the reprex guide or found unclear parts, do not hesitate to tell us!