Write functions to pretty datasets for publication after gap-filling

[caitlintwhite]

I don't have suggestions for anything specific, but for all versions of C1, D1 and SDL datasets I've made that have been published on EDI, I always had a final script that "prettied" the datasets for publication. This involves things like:

• making sure columns are in a consistent order,
• that values are rounded to the precision the raw data are recorded to (predicted values will have more decimal places),
• that colnames are correct (consistent with past version of dataset or consistent with comparable datasets if the dataset you are making is new),
• that the source stations used in regressions have their standard for-publication labels,
• that flag codes are appropriately assigned, and
• any qualitative notes on flagging are clear and concise (I tend to standardize the notes/comments as much as I can).

The workflow could continue where a polishing script is made manually each time, but it seems like there are probably opportunities to automate some of the dataset "prettying/polishing" tasks. I didn't get that far in developing the workflow to start writing these sorts of functions and am now too far removed in time from the last time I made a NWT climate dataset to remember what tasks could be automated, but if you see any place for it, go for it!