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adni85's avatar
adni85
Frequent Visitor
4 years ago
Solved

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

Hi

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.

 

TIA

Need Help
  • Anonymous's avatar
    Anonymous
    4 years ago

    Hi adni85 ,

     

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

    let
    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}})
in
    #"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.

3 Replies

  • AlexisOlson's avatar
    AlexisOlson
    Super User
    4 years ago

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

    • adni85's avatar
      adni85
      Frequent Visitor
      4 years ago

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

  • Anonymous's avatar
    Anonymous
    Not applicable
    4 years ago

    Hi adni85 ,

     

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

    let
    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}})
in
    #"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.