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

The Power BI Data Visualization World Championships is back! It's time to submit your entry. Live now!

Reply
Anonymous
Not applicable

Conditional Fill Down

I'm looking to perform a fill down based on another column. I'd like to fill down the "Property" column based on the "Invoice #" column. Whenever the invoice number column is duplicated, I'd like to fill down the property column.

 

End result: In the screenshot below, I'd like for "Brazilian" to fill down the next two columns (and no further). 

 

MDD_0-1677613747246.png

 

Thank you so much!

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @Anonymous ,

 

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WClIwNNI3NNAFkSZKOkpKsTo4BI0VUhIri2E8QwtjEyNLIM+pKLEqMyczMQ9VGAvPKzFP18gYyHPPSc1TcE1Mz0ktRkhA7IkFAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Invoice#" = _t, Property = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Invoice#", type text}, {"Property", type text}}),
    #"Replaced Value" = Table.ReplaceValue(#"Changed Type","",null,Replacer.ReplaceValue,{"Property"}),
    #"Grouped Rows" = Table.Group(#"Replaced Value", {"Invoice#"}, {{"Count", each List.Min([Property]), type nullable text}, {"Data", each _, type table [#"Invoice#"=nullable text, Property=nullable text]}}),
    #"Expanded Data" = Table.ExpandTableColumn(#"Grouped Rows", "Data", {"Property"}, {"Data.Property"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Data",{"Data.Property"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Count", "Property"}})
in
    #"Renamed Columns"

 

Then the result is as follows.

vtangjiemsft_1-1677650723663.png

Best Regards,

Neeko Tang

If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly. 

View solution in original post

1 REPLY 1
Anonymous
Not applicable

Hi @Anonymous ,

 

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WClIwNNI3NNAFkSZKOkpKsTo4BI0VUhIri2E8QwtjEyNLIM+pKLEqMyczMQ9VGAvPKzFP18gYyHPPSc1TcE1Mz0ktRkhA7IkFAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Invoice#" = _t, Property = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Invoice#", type text}, {"Property", type text}}),
    #"Replaced Value" = Table.ReplaceValue(#"Changed Type","",null,Replacer.ReplaceValue,{"Property"}),
    #"Grouped Rows" = Table.Group(#"Replaced Value", {"Invoice#"}, {{"Count", each List.Min([Property]), type nullable text}, {"Data", each _, type table [#"Invoice#"=nullable text, Property=nullable text]}}),
    #"Expanded Data" = Table.ExpandTableColumn(#"Grouped Rows", "Data", {"Property"}, {"Data.Property"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Data",{"Data.Property"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Count", "Property"}})
in
    #"Renamed Columns"

 

Then the result is as follows.

vtangjiemsft_1-1677650723663.png

Best Regards,

Neeko Tang

If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly. 

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! It's time to submit your entry.

January Power BI Update Carousel

Power BI Monthly Update - January 2026

Check out the January 2026 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.