Forum Discussion
COUNT IF in Power Query
Hi,
I want to do a personnalized column that could add up every answers in each colomn to get :
- all the «Yes» answers,
- all the «No» answers,
- all the «N/A» answers.
I tried something like that (only for the «yes» column»), but that didn't worked :
= ({[Question1], each "Yes"} + {[Question2], each "Yes"} + {[Question3], each "Yes"})
Thank you
Hi NumerENAP
You could try below M code
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCixNLS7JzM8zVNJRikwthpN++UqxOghpI5CQviMuaWM03SAyNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column1"}, "Attribute", "Value"), #"Grouped Rows" = Table.Group(#"Unpivoted Columns", {"Column1", "Value"}, {{"Count", each Table.RowCount(_), type number}}), #"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Value]), "Value", "Count", List.Sum), #"Merged Queries" = Table.NestedJoin(#"Pivoted Column", {"Column1"},#"Changed Type" , {"Column1"}, "Pivoted Column", JoinKind.LeftOuter), #"Expanded Pivoted Column" = Table.ExpandTableColumn(#"Merged Queries", "Pivoted Column", {"Column2", "Column3", "Column4"}, {"Pivoted Column.Column2", "Pivoted Column.Column3", "Pivoted Column.Column4"}) in #"Expanded Pivoted Column"If you just want to bold result in your result, you could try below M code
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCixNLS7JzM8zVNJRikwthpN++UqxOghpI5CQviMuaWM03SAyNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column1"}, "Attribute", "Value"), #"Grouped Rows" = Table.Group(#"Unpivoted Columns", {"Column1", "Value"}, {{"Count", each Table.RowCount(_), type number}}), #"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Value]), "Value", "Count", List.Sum), #"Replaced Value" = Table.ReplaceValue(#"Pivoted Column",null,0,Replacer.ReplaceValue,{"Yes", "No", "N/A"}) in #"Replaced Value"Best Regards,
Zoe ZhiIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
4 Replies
- Nathaniel_CCommunity Champion
Hi NumeroENAP ,
You will need to give us more information.
Please read this post to get your question answered more quickly:
https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
Thank you,
Nathaniel- NumeroENAPHelper III
This is an exemple of what I want (I want what's in bold) :
Column1 Column2 Column3 Column4 Nbof_yes Nbof_no Nbof_NA Question1 Yes Yes No 2 1 0 Question2 N/A Yes No 1 1 1 Question3 Yes Yes Yes 3 0 0 - daxCommunity Support
Hi NumerENAP
You could try below M code
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCixNLS7JzM8zVNJRikwthpN++UqxOghpI5CQviMuaWM03SAyNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column1"}, "Attribute", "Value"), #"Grouped Rows" = Table.Group(#"Unpivoted Columns", {"Column1", "Value"}, {{"Count", each Table.RowCount(_), type number}}), #"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Value]), "Value", "Count", List.Sum), #"Merged Queries" = Table.NestedJoin(#"Pivoted Column", {"Column1"},#"Changed Type" , {"Column1"}, "Pivoted Column", JoinKind.LeftOuter), #"Expanded Pivoted Column" = Table.ExpandTableColumn(#"Merged Queries", "Pivoted Column", {"Column2", "Column3", "Column4"}, {"Pivoted Column.Column2", "Pivoted Column.Column3", "Pivoted Column.Column4"}) in #"Expanded Pivoted Column"If you just want to bold result in your result, you could try below M code
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCixNLS7JzM8zVNJRikwthpN++UqxOghpI5CQviMuaWM03SAyNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column1"}, "Attribute", "Value"), #"Grouped Rows" = Table.Group(#"Unpivoted Columns", {"Column1", "Value"}, {{"Count", each Table.RowCount(_), type number}}), #"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Value]), "Value", "Count", List.Sum), #"Replaced Value" = Table.ReplaceValue(#"Pivoted Column",null,0,Replacer.ReplaceValue,{"Yes", "No", "N/A"}) in #"Replaced Value"Best Regards,
Zoe ZhiIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.