Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
Hi guys, i think the picture explains itself:
Basically I am trying to fill down based on an ID column.. i tried lot of thing, even aggregation but i could find out how to solve, any ideais on how to do this?
The values in column "VALUE" are very random. it comes in different months..
Solved! Go to Solution.
Hi @Anonymous, check this:
Result
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc4xDsAgDEPRu2RmIKZAu3fpGRD3v0aViko2A8O3FPTGsOd2SxbPZvoTmkXz0KxxkGloccJDjyMeTv3h0vS89aZz4kHxUDwUD8Vj4SmbZtcMtlcaAg4ePnqRZdMt/HwB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Tag = _t, Month = _t, Value = _t]),
ChangedType = Table.TransformColumnTypes(Source,{{"Month", Int64.Type}, {"Value", type number}}),
GroupedRows = Table.Group(ChangedType, {"Tag"}, {{"All", each Table.FillDown(_, {"Value"}), type table}}),
Combined = Table.Combine(GroupedRows[All])
in
Combined
Hi @Anonymous, check this:
Result
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc4xDsAgDEPRu2RmIKZAu3fpGRD3v0aViko2A8O3FPTGsOd2SxbPZvoTmkXz0KxxkGloccJDjyMeTv3h0vS89aZz4kHxUDwUD8Vj4SmbZtcMtlcaAg4ePnqRZdMt/HwB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Tag = _t, Month = _t, Value = _t]),
ChangedType = Table.TransformColumnTypes(Source,{{"Month", Int64.Type}, {"Value", type number}}),
GroupedRows = Table.Group(ChangedType, {"Tag"}, {{"All", each Table.FillDown(_, {"Value"}), type table}}),
Combined = Table.Combine(GroupedRows[All])
in
Combined
thanks for helping.. I was able to paste the code, but unfortunately when I clicked on Save the query never stopped.
Waiting for other queries... for at least 40 min.
My ID tag is very very very big, because it is a concatenation of many columns.
EDIT: after +- 1 hour it worked!
@dufoq3 many thanks.. !
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 4 | |
| 3 | |
| 2 | |
| 2 | |
| 1 |