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I especially like this idea where you distill data into its most primitive form. It isn't quite as hairy as using n3-notation, but the ability to just collect t
by sj4nz 7y ago
I especially like this idea where you distill data into its most primitive form. It isn't quite as hairy as using n3-notation, but the ability to just collect the data without regard to being CSV or SQL gets you to an interesting space where tracking these changes with GIT works better. I've worked with CSV with 400+ columns (don't ask it was a horror) and SQL is really too verbose for these kinds of collections.
GNU Recutils is a nice metalanguage for data. You can churn out CSV from it which in turn can be \copy loaded into PostgreSQL. Maybe its too many steps, but I found it an important format for creating the logical model of representing data without predisposing it to any other technology or encoding.
Unfortunately its org-mode integration with emacs is broken when using spacemacs-- to far for me to fix as I'm no Elisp wizard.
- juliend2 7y ago> tracking these changes with GIT works better That's actually the main selling point I am seeing here. Is there are any better format (apart from yaml maybe?) to collaborate on datasets, that can also immediately be used with code?