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Im looking to create a new table and to remove duplicate entries where it is zero but where there is not duplicate to still leave the empty field in the table based on email address.
As desribed in the table below
| Current data | ||
| Address Number | Alpha Name | Electornic Address |
| 1 | ABC | ABC@GMAIL.COM |
| 1 | ABC | |
| 2 | cde | CDE@GMAIL.COM |
| 3 | fgh | |
| 3 | fgh | FGH@GMAIL.COM |
| 4 | hij | |
| New Data | ||
| Address Number | Alpha Name | Electornic Address |
| 1 | ABC | ABC@GMAIL.COM |
| 2 | cde | CDE@GMAIL.COM |
| 3 | fgh | FGH@GMAIL.COM |
| 4 | hij |
Solved! Go to Solution.
Hi @Anonymous ,
You can try using SUMMARIZE:
I hope this post helps to solve your issue and if it does consider accepting it as a solution and giving the post a thumbs up!
My LinkedIn: https://www.linkedin.com/in/n%C3%A4ttiahov-00001/
Proud to be a Super User!
Resort to PQ for such data extraction/data shaping tasks; so that you can easily handle such a case,
| Address Number | Alpha Name | Electornic Address |
| 1 | ABC | ABC@GMAIL.COM |
| 1 | ABC | |
| 1 | ABC | another@hotmail.com |
| 2 | cde | CDE@GMAIL.COM |
| 3 | fgh | |
| 3 | fgh | FGH@GMAIL.COM |
| 4 | hij |
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJ0coaQDu6+jp4+es7+vkqxOshyaNzEvPySjNQih4z8ktzEzBy95PxcsAojoFxySiqQdHZxRTPMGCialp4BMwzBdXP3QFNqAhTNyMwCK40FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Address Number" = _t, #"Alpha Name" = _t, #"Electornic Address" = _t]),
#"Filtered Email" = Table.Group(Source, List.FirstN(Table.ColumnNames(Source),2), {"Grp", each Table.SelectRows(_, (r) => Text.Length(r[Electornic Address]) > 0)}),
#"Expanded Aggr" = Table.ExpandTableColumn(#"Filtered Email", "Grp", {"Electornic Address"})
in
#"Expanded Aggr"
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi @Anonymous ,
You can try using SUMMARIZE:
I hope this post helps to solve your issue and if it does consider accepting it as a solution and giving the post a thumbs up!
My LinkedIn: https://www.linkedin.com/in/n%C3%A4ttiahov-00001/
Proud to be a Super User!
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