Food $500
Rent $1500
Utilities $300
Gas $150
Bribes and fascism stuff $20 trillion

Someone who is good at the economy please help me budget this, my society is dying

🤯🤯🤯 Now this is what I'm talking about!

nooooooo it was one coding session, it didn't mean anything

yes absolutely ... the dangers of errant merges are dire 😭 and it feels even more dangerous when i'm just learning R and there is no simple way to inspect my merges. at least tidylog may provide a good first step!

omg perfect!!! thank you! tidylog seems to be exactly what I was looking for (I wanted dplyr's many-to-many error but for other kids of errors as well, e.g., if i tried doing m:1 but there were multiple records in the second data)

yep, basically wondering whether i have to write this every time i use join()

merge_flag = case_when(
!is.na(x) & !is.na(y) ~ "matched",
!is.na(x) & is.na(y) ~ "X_only",
is.na(x) & !is.na(y) ~ "Y_only",
TRUE ~ "error"
)

yup yup i just meant to say that diagnostics are trickier. I've tried to write my own function, but at least at this stage of learning it's not pretty easy for me :) if i use my own (clunky) function, it seems I lose the rich functionality of R's native join? Maybe soon though! 🤞

This is the only package I found aimed at that issue. But the "relationship = ..." doesn't show warnings when it should

randrescastaneda.github.io/joyn/

dammit i did not see the first comment

Haha no, I wish I was that smart

lol he might need to update his examples! bsky.app/profile/thet...