Forum Discussion
SteveDesmedt
2 years agoFrequent Visitor
Sum values in child table based on two filters
Hi all, I'm pretty new in Power Query and would like to achive the following : I have two tables : Table 1 Entry No. 1 2 3 4 Table 2 Entry No. Cost Code Cost ...
- Anonymous2 years ago
Hi SteveDesmedt
You can create two blank queries and put the following code to advanced editor in power query
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJ0BBKGpgZKsTrRSkZAtpMTkDAyQAhAVEAF4FqMoQImQLazM5IWQ5iACZIKsBaYCmOYLTBr4WaABWIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Entry No." = _t, #"Cost Code" = _t, #"Cost Amount" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Entry No.", Int64.Type}, {"Cost Code", type text}, {"Cost Amount", Int64.Type}}) in #"Changed Type"let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSK1YlWMgKTxmDSRCk2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Entry No." = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Entry No.", Int64.Type}}), #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Entry No."}, Query1, {"Entry No."}, "Query1", JoinKind.LeftOuter), #"Expanded Query1" = Table.ExpandTableColumn(#"Merged Queries", "Query1", {"Cost Code", "Cost Amount"}, {"Cost Code", "Cost Amount"}), #"Pivoted Column" = Table.Pivot(#"Expanded Query1", List.Distinct(#"Expanded Query1"[#"Cost Code"]), "Cost Code", "Cost Amount", List.Sum), #"Replaced Value" = Table.ReplaceValue(#"Pivoted Column",null,0,Replacer.ReplaceValue,{"AA", "BB", "CC"}) in #"Replaced Value"Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
AlienSx
Super User
2 years agohello, SteveDesmedt in PQ Editor select Cost Code column, go to Transform tab, find Pivot Column button, use Cost Amount as values column and choose Sum as aggregation function.