Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi everyone!
Could you please help me with this issue?
For example this table:
| Ref. | Qtd. OK | Qtd. NOK | Cod. OP | Id.1 |
1533 | 2 | 7 | A | 123456 |
| 1533 | 2 | 48 | B | 123456 |
| 1533 | 4 | 10 | C | 987654 |
Now, my problem is I want to keep the lines but i dont want to duplicate the values on "Qtd. OK" column, is there any way of null the duplicate value on "Qtd. OK" if lines of "Id.1" are the same? Or create a new column like "Ajust Qtd.Ok"? Like this:
| Ref. | Qtd. OK | Qtd. NOK | Cod. OP | Id.1 |
1533 | 2 | 7 | A | 123456 |
| 1533 | null | 48 | B | 123456 |
| 1533 | 4 | 10 | C | 987654 |
Solved! Go to Solution.
Grouping by Id.1 with no aggregation then filling down the Qtd. OK column might work for you.
pbix file attached with your example data.
Proud to be a Super User! | |
You can select column "Qtd. OK" and from the transform tab pick Fill Down if all the first ref value does not include null, else make group by first, then use fill down
Hi,
Thanks for the solution Omid_Motamedise and jgeddes offered, and i want to offer some more information for user to refer to.
hello @JoaoFidalgo94 , you can create a blank query and put the following code to advanced editor in power query.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ1NlbSUTICYnMgdgRiQyNjE1MzpVgdFFkTCyDhhFXaBCRqACScgdjSwtzM1EQpNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Ref." = _t, #"Qtd. OK" = _t, #"Qtd. NOK" = _t, #"Cod. OP" = _t, Id.1 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Ref.", Int64.Type}, {"Qtd. OK", Int64.Type}, {"Qtd. NOK", Int64.Type}, {"Cod. OP", type text}, {"Id.1", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Ref.", "Qtd. OK"}, {{"Count", each Table.AddIndexColumn(_,"Index",1,1),type table}}),
#"Expanded Count" = Table.ExpandTableColumn(#"Grouped Rows", "Count", {"Qtd. NOK", "Cod. OP", "Id.1", "Index"}, {"Qtd. NOK", "Cod. OP", "Id.1", "Index"}),
#"Replaced Value" = Table.ReplaceValue(#"Expanded Count",each [Qtd. OK],each if [Index]=1 then [Qtd. OK] else null,Replacer.ReplaceValue,{"Qtd. OK"}),
#"Removed Columns" = Table.RemoveColumns(#"Replaced Value",{"Index"})
in
#"Removed Columns"
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi guys! Thanks a lot for your response, it works!
Hi,
Thanks for the solution Omid_Motamedise and jgeddes offered, and i want to offer some more information for user to refer to.
hello @JoaoFidalgo94 , you can create a blank query and put the following code to advanced editor in power query.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ1NlbSUTICYnMgdgRiQyNjE1MzpVgdFFkTCyDhhFXaBCRqACScgdjSwtzM1EQpNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Ref." = _t, #"Qtd. OK" = _t, #"Qtd. NOK" = _t, #"Cod. OP" = _t, Id.1 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Ref.", Int64.Type}, {"Qtd. OK", Int64.Type}, {"Qtd. NOK", Int64.Type}, {"Cod. OP", type text}, {"Id.1", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Ref.", "Qtd. OK"}, {{"Count", each Table.AddIndexColumn(_,"Index",1,1),type table}}),
#"Expanded Count" = Table.ExpandTableColumn(#"Grouped Rows", "Count", {"Qtd. NOK", "Cod. OP", "Id.1", "Index"}, {"Qtd. NOK", "Cod. OP", "Id.1", "Index"}),
#"Replaced Value" = Table.ReplaceValue(#"Expanded Count",each [Qtd. OK],each if [Index]=1 then [Qtd. OK] else null,Replacer.ReplaceValue,{"Qtd. OK"}),
#"Removed Columns" = Table.RemoveColumns(#"Replaced Value",{"Index"})
in
#"Removed Columns"
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
You can select column "Qtd. OK" and from the transform tab pick Fill Down if all the first ref value does not include null, else make group by first, then use fill down
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 5 | |
| 4 | |
| 3 | |
| 3 | |
| 2 |
| User | Count |
|---|---|
| 8 | |
| 6 | |
| 6 | |
| 6 | |
| 5 |