Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi all,
I need to explode the values as column headers. For example, I have this situation:
| tabella | campo | risultato | pilastro | indicatore |
| x | x | 1 | adeguatezza | data quality |
| x | x | 0,5 | copertura | data quality |
| x | y | 1 | adeguatezza | data dictionary |
| z | z | 1 | adeguatezza | business glossary |
| z | z | 1 | copertura | business glossary |
| z | z | 1 | copertura | data quality |
This is what I want in Power Bi:
| tabella | campo | data quality | data dictionary | business glossary | adeguatezza | copertura |
| x | x | 0,75 | 1 | 0,5 | ||
| x | y | 1 | 1 | |||
| z | z | 1 | 1 | 1 | 1 |
Can anyone help me to solve the problem?
Thanks
Solved! Go to Solution.
Hi @mzedda ,
I would split this table up into 2, then append befor pivoting with an average aggregation:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WqlDSAWNDIE5MSU0vTSxJrapKBPJSEksSFQpLE3MySyqVYnUQSg10TIFkcn5BalFJaRFOpZW4TU3JTC7JzM9LLIKorgKKV2FVnVRanJmXWlyskJ6TX1yMTT2yM0hTjeroWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [tabella = _t, campo = _t, risultato = _t, pilastro = _t, indicatore = _t]),
_staging = Table.TransformColumnTypes(Source,{{"tabella", type text}, {"campo", type text}, {"risultato", type number}, {"pilastro", type text}, {"indicatore", type text}}, "de-DE"),
#"Removed Columns" = Table.RemoveColumns(_staging,{"pilastro"}),
_tbl1 = Table.RenameColumns(#"Removed Columns",{{"indicatore", "Header"}}),
Custom1 = _staging,
#"Removed Columns1" = Table.RemoveColumns(Custom1,{"indicatore"}),
_tbl2 = Table.RenameColumns(#"Removed Columns1",{{"pilastro", "Header"}}),
Custom2 = _tbl2 & _tbl1,
#"Pivoted Column" = Table.Pivot(Custom2, List.Distinct(Custom2[Header]), "Header", "risultato", List.Average)
in
#"Pivoted Column"
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Hi @mzedda ,
I would split this table up into 2, then append befor pivoting with an average aggregation:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WqlDSAWNDIE5MSU0vTSxJrapKBPJSEksSFQpLE3MySyqVYnUQSg10TIFkcn5BalFJaRFOpZW4TU3JTC7JzM9LLIKorgKKV2FVnVRanJmXWlyskJ6TX1yMTT2yM0hTjeroWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [tabella = _t, campo = _t, risultato = _t, pilastro = _t, indicatore = _t]),
_staging = Table.TransformColumnTypes(Source,{{"tabella", type text}, {"campo", type text}, {"risultato", type number}, {"pilastro", type text}, {"indicatore", type text}}, "de-DE"),
#"Removed Columns" = Table.RemoveColumns(_staging,{"pilastro"}),
_tbl1 = Table.RenameColumns(#"Removed Columns",{{"indicatore", "Header"}}),
Custom1 = _staging,
#"Removed Columns1" = Table.RemoveColumns(Custom1,{"indicatore"}),
_tbl2 = Table.RenameColumns(#"Removed Columns1",{{"pilastro", "Header"}}),
Custom2 = _tbl2 & _tbl1,
#"Pivoted Column" = Table.Pivot(Custom2, List.Distinct(Custom2[Header]), "Header", "risultato", List.Average)
in
#"Pivoted Column"
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 10 | |
| 6 | |
| 5 | |
| 4 | |
| 2 |