Closed tiernanmartin closed 6 years ago
Similar columns can be grouped together by adding a common prefix (e.g., SUIT_* or FILTER_*).
SUIT_*
FILTER_*
Many of the columns already have common prefixes but some do not.
Once all the columns are assigned a group and a prefix the order can be changed using select() like so:
select()
inventory %>% select(starts_with("[prefix string]"), starts_with("[another prefix string]"), everything())
I'm deciding against doing this because it will add lots of unnecessary work to the interface dev team's plate.
Similar columns can be grouped together by adding a common prefix (e.g.,
SUIT_*
orFILTER_*
).Many of the columns already have common prefixes but some do not.
Once all the columns are assigned a group and a prefix the order can be changed using
select()
like so: