Query to create column comparing text value to column in separate table.

[MrPatrick]

I have data in a table 'listData', one of the columns is 'status' which contains one of ~40 text values indicating the status of the record.

These may contain any of the following (shortened for brevity)

• Sale
• NI
• A
• NA

I have a second table 'staticData' with a single column 'completedStatuses' that contains a subset of these values that indicate a record is complete. This table contains the following (again shortened)

• AFAX
• Sale
• NI

I would like to create a new column in listData called 'completed' that displays a Y or N (or 1 / 0 or true/false) if the value in the 'status' column in listData is contained in the table/column 'staticData[completedStatuses]'

I've run through the list of functions and tried to understand anything that looks likely and get either errors or syntactic failures that I don't understand.

The List.* functions (list.MatchAny, list.contains, list.ContainsAny) all return

'Expression.Error: We cannot convert the value "AFAX " to type List.
Details:
Value=AFAX
Type=[Type]

where I am assuming it isn't looking at the whole completedStatuses column as the list, just the first cell.

Text.Contains gave me some True/False output but it didn't follow any matching pattern I could understand.

I've been going round in circles trying to find a way to do this and I'm not getting anywhere. Can someone point me in the right direction?

[Mariusz]

Hi @MrPatrick 

Can you create a sample for both tables?

Best Regards,
Mariusz

If this post helps, then please consider Accepting it as the solution. 

[Jimmy801 · Accepted solution]

Hello

List.Contains has to be used here. Maybe you are it applying the wrong way.
Here an example how to apply it: List.Contains(staticData[completedStatuses],[status])

Hope it helps

Jimmy

[MrPatrick]

Thanks Jimmy, that's worked.

Whats frustrating is that I would've sworn that's what I tried when I first came across the list.contains function. Clearly not though as this is working where it wasn't before.

Appreciate your help.