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Let's say I have some sort of process that takes data from a CSV that is located on my local machine. This process will eventually need to be scheduled via some cron job. I need to import that data obviously and if I'm writing an automated script there are two main solutions for this.

Create a user defined function that includes the import statement in the body.

    import_data_and_clean <- function(full_path){
         data = read_csv(path)
         ....
    }

Create a dataset_builder.R file that not only imports the data, but also cleans and prepared the data for analysis.

data = read_csv(path)
....

My question pertains to which of these solutions was the reccomended way to do this in R?

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