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Hello,
I tried to use the "Group by" function within PowerQuery, but got two same row counts. So I guess it count all rows, even though I chose "not the empty fields".
My example original table:
Categories | Year | ID SCAN | ID MAN | Remarks | Info | |||||
A | 2019 | 123 | ||||||||
A | 2019 | 321 | ||||||||
A | 2019 | 555 | ||||||||
A | 2020 | 3132 | ||||||||
B | 2019 | 231 | ||||||||
B | 2022 | 777 | ||||||||
B | 2022 | 543 | ||||||||
B | 2022 | 888 |
I want to group the categories and the year together, and have a aggregation how much count of ID Scan or ID MANUAL I got.
That should be the expected result:
Categories | Year | ID SCAN Count | ID MAN Count | |||
A | 2019 | 2 | 1 | |||
A | 2020 | 1 | 0 | |||
B | 2019 | 1 | 0 | |||
B | 2022 | 0 | 3 |
Thank you very much in advance.
Best.
Solved! Go to Solution.
Hi @Applicable88 ,
Try to use List.NonNullCount function.
= Table.Group(#"Changed Type", {"Categories", "Year "}, {{"ID SCAN Count", each List.NonNullCount([ID SCAN]), Int64.Type},{"ID MAN Count",each List.NonNullCount([ID MAN]), Int64.Type}})
The whole M languae:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wck4sSU3PL8pMLVbSUYpMTSxSANKeLgrBzo5+EJYvmBGUmptYlA1S5JmXlq8UqxOt5AjkGBkYWgIpQyNjIKkAx2jSIEFjI0Nc0qampjh0GxmAdBoaG2HIOyG0Gxkb4pA2gukzNzfHJ21qYoxP2sLCAiEdCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).2" = _t, #"(blank).4" = _t, #"(blank).6" = _t, #"(blank).8" = _t, #"(blank).10" = _t]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Categories", type text}, {"Year ", Int64.Type}, {"ID SCAN", Int64.Type}, {"ID MAN", Int64.Type}, {"Remarks", type text}, {"Info", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Categories", "Year "}, {{"ID SCAN Count", each List.NonNullCount([ID SCAN]), Int64.Type},{"ID MAN Count",each List.NonNullCount([ID MAN]), Int64.Type}})
in
#"Grouped Rows"
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Applicable88 ,
Try to use List.NonNullCount function.
= Table.Group(#"Changed Type", {"Categories", "Year "}, {{"ID SCAN Count", each List.NonNullCount([ID SCAN]), Int64.Type},{"ID MAN Count",each List.NonNullCount([ID MAN]), Int64.Type}})
The whole M languae:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wck4sSU3PL8pMLVbSUYpMTSxSANKeLgrBzo5+EJYvmBGUmptYlA1S5JmXlq8UqxOt5AjkGBkYWgIpQyNjIKkAx2jSIEFjI0Nc0qampjh0GxmAdBoaG2HIOyG0Gxkb4pA2gukzNzfHJ21qYoxP2sLCAiEdCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).2" = _t, #"(blank).4" = _t, #"(blank).6" = _t, #"(blank).8" = _t, #"(blank).10" = _t]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Categories", type text}, {"Year ", Int64.Type}, {"ID SCAN", Int64.Type}, {"ID MAN", Int64.Type}, {"Remarks", type text}, {"Info", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Categories", "Year "}, {{"ID SCAN Count", each List.NonNullCount([ID SCAN]), Int64.Type},{"ID MAN Count",each List.NonNullCount([ID MAN]), Int64.Type}})
in
#"Grouped Rows"
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@v-stephen-msft thank you for providing the pbix. I see that you also didn't use the "group by" button, instead you directly wrote the table.goup function. Through your example I saw my mistake and why I got the same row counts, because I had it as string and not integer, so the funtion doesn't know how to ignore null values.
Thank you so much.
Best.
Maybe a language problem? I do not see an option for Count "not the empty rows" for the Table.Group function. What is the M Code that is generated (see the Advanced Editor or the contents of the formula bar when selecting that step).
let
Origine = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUVIAYiMDQ0so09DIGMrCxLE6WLXAsLGRIbFaTE1NibTFyABmuqGxEV49TpjWGBljugi7FiN0s83NzUnVYmqCGXQEtFhYWGBqiQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Categories = _t, #" " = _t, Year = _t, #" .1" = _t, #"ID SCAN" = _t, #" .2" = _t, #"ID MAN" = _t, #" .3" = _t, Remarks = _t, #" .4" = _t, Info = _t]),
#"Modificato tipo" = Table.TransformColumnTypes(Origine,{{"Categories", type text}, {" ", type text}, {"Year", Int64.Type}, {" .1", type text}, {"ID SCAN", Int64.Type}, {" .2", type text}, {"ID MAN", Int64.Type}, {" .3", type text}, {"Remarks", type text}, {" .4", type text}, {"Info", type text}}),
#"Rimosse colonne" = Table.RemoveColumns(#"Modificato tipo",{" ", " .1", " .2", " .3", "Remarks", " .4", "Info"}),
#"Raggruppate righe" = Table.Group(#"Rimosse colonne", {"Categories","Year"}, {{"id scan count", each List.Count(List.RemoveNulls(_[ID SCAN])), Int64.Type},{"id man count", each List.Count(List.RemoveNulls(_[ID MAN])), Int64.Type}})
in
#"Raggruppate righe"
@Anonymous thanks for the quick reply. I'm not fully getting all steps. Are the blank fields the problem? But I already chosed "count only not empty fields" in the Group by options, why I need to remove nulls?
@Applicable88 It is not clear if what I have proposed works but it is not clear or if it does not work and it is not clear why it does not work.
I can't comment on what you did unless you show your code.
PS
certainly instead of the two List functions .... I could have used this one that I didn't remember when I wrote the code.
List.NonNullCount(list as list) as number
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