The art of using data is ensuring that it moves people to action; these stories are no less fragile.
I was on Github looking at something else (as always) when I saw someone I follow forking an R repository called Polite. Dmytry’s markdown to explain the pillars of politeness are well written and absolutely applicable to the wider corners of scraping that a lot of analysts do using tools like Alteryx.
There’s a lot of data where one observation to a human (e.g. one survey) isn’t ideally one observation to the query language of a database system.
You’re not really meant to say this when you are (or have been) a data analyst/scientist/whatever, but I have a limited patience/tolerance for the reformatting and cleaning of data.
Fragile Data 