If you might have played it but decided not to, what drove you away?
I set up the same kind of thing that abstractapplic did:
I created a sub-df for each province, reset their indices, then recombined; and for “does this predict that with a lag of N years?” investigations, I shifted one of the sub-dfs back by N before recombining.
then bounced off because while I had decent ideas of what I wanted to look for, I never got excited enough to get past the activation energy of trying to look for it.
My guesses about why include:
creating pretty plots was harder and (I expected) less useful
creating useful features for some kind of model, given the obvious time lag needs, felt like it’d be messy and I couldn’t just sit down and start making progress that felt good, so I never did
messy includes finnicky to get non-buggy, different for different columns, and especially figuring out what to do about the almost-certainly-important province-adjacency
less slack during those 10 days than ideal
Not certain any of this is necessarily bad, but it’s where my friction was.
I set up the same kind of thing that abstractapplic did:
then bounced off because while I had decent ideas of what I wanted to look for, I never got excited enough to get past the activation energy of trying to look for it.
My guesses about why include:
creating pretty plots was harder and (I expected) less useful
creating useful features for some kind of model, given the obvious time lag needs, felt like it’d be messy and I couldn’t just sit down and start making progress that felt good, so I never did
messy includes finnicky to get non-buggy, different for different columns, and especially figuring out what to do about the almost-certainly-important province-adjacency
less slack during those 10 days than ideal
Not certain any of this is necessarily bad, but it’s where my friction was.