Forum Discussion
Faster Division/Multiplication using Merge same table Query - Power Query
- 5 years ago
Hello Anonymous
here some dynamic solution. Uses Unpivoting, Grouping and twice transforming of columns. The only parameter you have to change is the list in the Unpivot other (in case you have some additional columns). As you can see you can also remove the column "count" from your table.
let Origine = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VVRLdiQxCLtLr/PmGTD+XGGWs+3X979GCgmYZNFWUiVTIMl+v1/y+nr9+/snYPqziM5ndXuWHf/Hz4a+Pl/vl5IbMIOwVryMxfez3OenIqAaqQEaz2VE2Rmf2bHhxAs/4E5yAzTezVg0tlo8k9gkc4Dr5Hq9dKmyGm1J7JLFHha5aBLtWn3BT3OvgbvJ3VXI0cio4uCvDeoh9VQL14rq3a4aFbvk3uKu/stHj3Ypg4y0IlB3CYHWp1YTT2Mgl2+BFm/3aP2gBMw8TnY6B+R8Ud+8XAd5TZLTO6DGmwMvbtkOP+8lOc0DmtSIVHlU0ycrp3tA5GxpVUYvGF02rZb0D4g5EUi0gPbx/FJoSQOB2mlWqSihD0ml00KgjoqRjdISOslM8dJEoMaWNcpFq9zLYmlNE7XdsFNnAElCRCzJaSK7hHiz+qWJ8iPOWsdPO9BSwtlp9s7a6aIy5T1jH1mmiVJrughE/eWlha3/jTB7mjYCIcjxX2niERg0XdNGIHOxah9Snuc7204fgdqRg3SYGTuch1bTR9bqWEvH5Hfp9JH30SzDKaeXj0JFLH0ESgeUI+/OE0e09BGIULHyqYmZp2Knj9YXFu4N6DxnnwLnbWN1k1pn9VZLuHQ4TZLTRyDMZEpPpapueJDTRg4WX1+7Io0jiRF3Vk4XgT8uJ6lv7B8nxtJEoPa9jm2ME8xRxsnSRWa4O+cipUfe05Ym8s6It94XMfSmeHlkZroIhDGzXURzZD8KfD7f", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, CD = _t, #"6" = _t, #"5" = _t, #"4" = _t, #"3" = _t, #"1" = _t, Count = _t]), ChangeType = Table.TransformColumnTypes(Origine,{{"6", Int64.Type}, {"5", Int64.Type}, {"4", Int64.Type}, {"3", Int64.Type}, {"1", Int64.Type}}), #"Removed Columns" = Table.RemoveColumns(ChangeType,{"Count"}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Removed Columns", {"ID", "CD"}, "Attribute", "Value"), #"Grouped Rows" = Table.Group(#"Unpivoted Other Columns", {"CD"}, {{"AllRows", each _, type table [ID=text, CD=text, Attribute=text, Value=number]}}), TransformAllRows = Table.TransformColumns ( #"Grouped Rows", { { "AllRows", (tbl)=> let SumValue = List.Sum(tbl[Value]), TransformTbl = Table.TransformColumns ( tbl, { { "Value", each _ / SumValue } } ) in TransformTbl } } ), #"Expanded AllRows" = Table.ExpandTableColumn(TransformAllRows, "AllRows", {"ID", "Attribute", "Value"}, {"ID", "Attribute", "Value"}), #"Pivoted Column" = Table.Pivot(#"Expanded AllRows", List.Distinct(#"Expanded AllRows"[Attribute]), "Attribute", "Value", List.Sum), #"Changed Type" = Table.TransformColumnTypes(#"Pivoted Column",{{"ID", Int64.Type}}), #"Sorted Rows" = Table.Sort(#"Changed Type",{{"ID", Order.Ascending}}) in #"Sorted Rows"Copy paste this code to the advanced editor in a new blank query to see how the solution works.
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy
Hi Anonymous - oddly enough I do not think you can reference another column within a Table.TransformColumn. I've not see a way to do it.
However, you can use the Table.ReplaceValue function. See below - this is just for column 6. You'd need to repeat for each column.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DI = _t, CD = _t, #"6" = _t, #"5" = _t, #"4" = _t, #"3" = _t, #"1" = _t, Count = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"6", Int64.Type}, {"5", Int64.Type}, {"4", Int64.Type}, {"3", Int64.Type}, {"1", Int64.Type}, {"Count", Int64.Type}}),
#"Replaced Value" =
Table.ReplaceValue(
#"Changed Type",
each
let
varCurrentValue = [6]
in
varCurrentValue,
each [6] / [Count],
Replacer.ReplaceValue,{"6"})
in
#"Replaced Value"
Here is what it does:
- It assigns the current value of column 6 to the varCurrentValue variable. (current value is whatever it is for each row)
- It searches for the current value.
- Then it replaces it with [6] / [Count]
I did test this with 2 records that had the same value (45) but different values in the Count column for that row, and it worked.
The first value was 45, and now divided by 302 gives the .149 value.
How to use M code provided in a blank query:
1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.