hi,
looks like this:
when (deleted and) created TYPE is always Number and I change to Text.
I have other APPS with VC’s that calculate from columns in the same table they are in,
but this time i need to read from another table in the APP, is this the reason it fails?
cheers,
Mike
an update, team.
i moved the formula i’m trying to get to stop desplaying NaN:
LOOKUP([STAFF MEMBER], “STAFF LIST”, “E-Mail Address”, “DATE START”)
to a Text TYPE column in the table, as opposed to Virtual,
and still get the same error!
column “DATE START” in table “STAFF LIST” is Text Format and static values like:
Mon 11/11/2019
stumped!
And further,
if i change my formula to read another text column like this:
LOOKUP([STAFF MEMBER], “STAFF LIST”, “E-Mail Address”, “DATE START”)
it works fine
apologies for the typo:
And further,
if i change my formula to read another text column like this:
LOOKUP([STAFF MEMBER], “STAFF LIST”, “E-Mail Address”, “LOCATION”)
it works fine
Interesting,
in the Columns definition,
if i move my formula from INITIAL VALUE and put it in FORMULA,
or viceversa
the TYPE changes automatically from Text to Number. ?
so i am forced to change it to Txt.
just to test, i changed the TYPE to Date, and it gave this error:
The expression is valid but its result type ‘Number’ is not one of the expected types: Date
so, the LOOKUP yields a number result from a text column…
back to TYPE Text, even this fails with NaN:
CONCATENATE(" ",LOOKUP([STAFF MEMBER], “STAFF LIST”, “E-Mail Address”, “DATE START”))
!?
Please try to use LOOKUP([_THISROW].[STAFF MEMBER],“STAFF LIST”,“E-Mail Address”,“DATE START”)
I'm having a variation on this problem.
When I'm viewing the record in the form, it shows the text field's normal value (in this case, a "K"). When I edit the record in the form, it changes to NaN.
No idea what's going on here.
Please start a new topic for help with this.
Try deleting the column name and regenerating the schema and then again return to the sheet and add the column with the desired text u want. this worked for me. this could be happening because app sheet could be setting the column type to a number when we input a number in it.
remaking the column in the sheet removed the NaN error for me
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