Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
jasemilly
Helper III
Helper III

Pivot columns

Hi I have a sql source returning data like

jasemilly_0-1607615450489.png

 

how do I pivot it so it shows

 

Org id  |   Expiry Date Operators Licence  | Operators Licence | Expiry Date Insurance Certificate | Insurance Certificate     

xxx       |                08/07/2019                   |             0                |                26/03/2020                   |                 0

 

And include the libiality Insurance with an expiry date.

I can do a normal pivot on the description but no idea with the expiry date

 

Thanks

Jason

1 ACCEPTED SOLUTION
AlB
Community Champion
Community Champion

Hi @jasemilly 

Place the following M code in a blank query to see the steps.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lc7BCsIwEATQXwk5N2RMm8Z69SQU/IDSw7puISBV0njw700RRDwp7GkY3uwwaAAMJ2TEh8k0dWBD4GAA1/kzAa1rdKWxtQjWYdMp7LBeCY83SZSvaVF9ZJlZ1qIeq59V11rURXX4UA/zck9UNLWXlOMUmfLfcmHhv//tI53iJeaHem+83PEJ", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [OrganisationId = _t, ExpiryDate = _t, Description = _t, ValidDocument = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"OrganisationId", type text}, {"ExpiryDate", type datetime}, {"Description", type text}, {"ValidDocument", Int64.Type}}),


    #"Added Custom" = Table.AddColumn(#"Changed Type", "Description copy", each "Expiry date " & [Description]),
    #"Pivoted Column" = Table.Pivot(#"Added Custom", List.Distinct(#"Added Custom"[Description]), "Description", "ValidDocument", List.Sum),
    #"Pivoted Column1" = Table.Pivot(#"Pivoted Column", List.Distinct(#"Pivoted Column"[#"Description copy"]), "Description copy", "ExpiryDate", List.Sum),
    #"Grouped Rows" = Table.Group(#"Pivoted Column1", {"OrganisationId"}, {{"All rows", each Table.FirstN(Table.FillDown(Table.FillUp(_, Table.ColumnNames(_)),Table.ColumnNames(_)),1)}}),
    #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"OrganisationId"}),
    #"Expanded All rows" = Table.ExpandTableColumn(#"Removed Columns", "All rows", {"OrganisationId", "Operators Licence", "Insurance Certificate", "Liability Insurance", "Expiry date Liability Insurance", "Expiry date Operators Licence", "Expiry date Insurance Certificate"}, {"OrganisationId", "Operators Licence", "Insurance Certificate", "Liability Insurance", "Expiry date Liability Insurance", "Expiry date Operators Licence", "Expiry date Insurance Certificate"}),
    #"Reordered Columns" = Table.ReorderColumns(#"Expanded All rows",{"OrganisationId", "Expiry date Operators Licence", "Operators Licence", "Expiry date Insurance Certificate", "Insurance Certificate", "Expiry date Liability Insurance", "Liability Insurance"})
in
    #"Reordered Columns"

 

 

Please mark the question solved when done and consider giving a thumbs up if posts are helpful.

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers 

 

SU18_powerbi_badge

View solution in original post

3 REPLIES 3
AlB
Community Champion
Community Champion

Hi @jasemilly 

Place the following M code in a blank query to see the steps.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lc7BCsIwEATQXwk5N2RMm8Z69SQU/IDSw7puISBV0njw700RRDwp7GkY3uwwaAAMJ2TEh8k0dWBD4GAA1/kzAa1rdKWxtQjWYdMp7LBeCY83SZSvaVF9ZJlZ1qIeq59V11rURXX4UA/zck9UNLWXlOMUmfLfcmHhv//tI53iJeaHem+83PEJ", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [OrganisationId = _t, ExpiryDate = _t, Description = _t, ValidDocument = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"OrganisationId", type text}, {"ExpiryDate", type datetime}, {"Description", type text}, {"ValidDocument", Int64.Type}}),


    #"Added Custom" = Table.AddColumn(#"Changed Type", "Description copy", each "Expiry date " & [Description]),
    #"Pivoted Column" = Table.Pivot(#"Added Custom", List.Distinct(#"Added Custom"[Description]), "Description", "ValidDocument", List.Sum),
    #"Pivoted Column1" = Table.Pivot(#"Pivoted Column", List.Distinct(#"Pivoted Column"[#"Description copy"]), "Description copy", "ExpiryDate", List.Sum),
    #"Grouped Rows" = Table.Group(#"Pivoted Column1", {"OrganisationId"}, {{"All rows", each Table.FirstN(Table.FillDown(Table.FillUp(_, Table.ColumnNames(_)),Table.ColumnNames(_)),1)}}),
    #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"OrganisationId"}),
    #"Expanded All rows" = Table.ExpandTableColumn(#"Removed Columns", "All rows", {"OrganisationId", "Operators Licence", "Insurance Certificate", "Liability Insurance", "Expiry date Liability Insurance", "Expiry date Operators Licence", "Expiry date Insurance Certificate"}, {"OrganisationId", "Operators Licence", "Insurance Certificate", "Liability Insurance", "Expiry date Liability Insurance", "Expiry date Operators Licence", "Expiry date Insurance Certificate"}),
    #"Reordered Columns" = Table.ReorderColumns(#"Expanded All rows",{"OrganisationId", "Expiry date Operators Licence", "Operators Licence", "Expiry date Insurance Certificate", "Insurance Certificate", "Expiry date Liability Insurance", "Liability Insurance"})
in
    #"Reordered Columns"

 

 

Please mark the question solved when done and consider giving a thumbs up if posts are helpful.

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers 

 

SU18_powerbi_badge

AlB
Community Champion
Community Champion

Hi @jasemilly 

Please paste the contents of the screen cap (initial table) in text-tabular format (like the second) so tha it can be copied

 

Please mark the question solved when done and consider giving a thumbs up if posts are helpful.

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers 

SU18_powerbi_badge

Hi AIB

 

is this ok?

OrganisationId                                              ExpiryDate                  Description                 ValidDocument

000c02ea-e57f-437c-a0c7-00295da0062408/07/2019 00:00:00Operators Licence0
000c02ea-e57f-437c-a0c7-00295da0062426/03/2020 00:00:00Insurance Certificate0
000c02ea-e57f-437c-a0c7-00295da0062403/05/2019 00:00:00Liability Insurance0

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

November Power BI Update Carousel

Power BI Monthly Update - November 2025

Check out the November 2025 Power BI update to learn about new features.

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.