Forum Discussion
Measure Capability in Dataflows
- 4 years ago
See this ScottBrown
it does a series of calculations in the Dim Date Table with some self-merges of different steps. It returns these columns. Your date table has more than the fiscal table, so not everything is there - no 2018 for example.You can see in the steps I broke it into two areas as there needed to be a different way to get fiscal period vs Year status.
The file is here https://1drv.ms/x/s!AheFG2CwN3xnivI023Lxboobm6MVwQ?e=VOzs2N
If that isn't what you want, and you cannot modify my code to suit your needs, please provid a mock up in excel of the desired results.
- 3 years ago
I think this is what you want ScottBrown
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMlHSUVKK1QGzjYFs/4LUPBjfCI1vCOR7ZBaXYPJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Year = _t, Status = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Year", Int64.Type}}), AddedMinYear = Table.AddColumn( #"Changed Type", "Min Year", each List.Min( Table.SelectRows(#"Changed Type", each [Status] = "Open")[Year] ) ) in AddedMinYearYour general idea was right, but the syntax was off.
For this table this works fine, but this logic will not work at all in a table with a few thousand records. Power Query is horrible at table scans like this. DAX is what works best, but for 3 records or even 300, Power Query is fine.
Thank You! This solved my problem. Great Work!
Glad I was able to help Scott.