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New Member

Replace N/A value with non-null value in same column


I am quite new to the power BI world and stuck with this issue.



So as shown in table below, I have few N/A values in 'City' column. I want to replace N/A with the value based on the customer column.


Like, if customer 'EFG' is shown Toronto in above or below cell than the 'N/A' could replaced with Toronto and in the case of customer 'ABC' N/A to be replaced with Vancouver.



Community Support
Community Support

Hi @adni85 ,


Below is the full M syntax that you could paste in Advanced Editor:

    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnRyVtJRMtQ31DcyMDICMsMS85LzS8tSi5RidaKVXN3cUaVD8ovy80rywZIRkVGokn6p5ZX5RdkoOo3gkvqOKBLG2IyEOccYXRfMLmNsdgWGu2LXBZMwgUk4pWZmZealK8XGAgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Customer = _t, Dates = _t, City = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Customer", type text}, {"Dates", type date}, {"City", type text}}),
    #"Replaced Value" = Table.ReplaceValue(#"Changed Type","N/A",null,Replacer.ReplaceValue,{"City"}),
    #"Sorted Rows" = Table.Sort(#"Replaced Value",{{"City", Order.Descending}}),
    #"Group" = Table.Group(#"Sorted Rows", {"Customer"}, {{"All_Rows", each Table.FillDown(_,{"City"}), type table}}),     
    #"Expanded All_Rows" = Table.ExpandTableColumn(Group, "All_Rows", {"Dates", "City"}, {"Dates", "City"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Expanded All_Rows",{{"Dates", type date}})
    #"Changed Type1"





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

Super User
Super User

Is a Customer always associated with only a single City? If not, how do you choose which city to replace N/A with?

Yes in this case customer is associated to one particular city.

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