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More examples: I've used this package in other powerful ways, but on proprietary data. I'm interested in ideas for use cases that can be provided as vignettes.
Getting into longer datasets (ex. 6000 rows on each side), execution is substantially faster (0.11s vs 1662.77s) to perform this in two steps; join followed by filter. FYI
system.time({
a<-inner_join(A, B, by = c("key" = "key"))
a<-filter(a,
date >= startDate &
date <= endDate
)
})
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