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swwong1
Helper III
Helper III

Remove Null Values by Moving Values

Hi All,

 

Below in blue is the existing structure I have (after doing certain transformations). I would like to move the values 'upwards' if the above rows are null values (please refer to table on the right). 

 

I have seen a similar solution on this forum but the number of rows isn't fixed here - one country can have 10 rows, another only 5 rows. There is a similar solution on Stackflow but I am not sure where to input/how to use it on PowerQuery within PBI.

 

For easier reference, I have provided a sample in Excel.

 

https://www.dropbox.com/s/cj4ekr0xjbvcjlp/OlympicsData.xlsx?dl=0 

 

Many thanks!

 

swwong1_0-1627472893483.png

 

 

 

1 ACCEPTED SOLUTION

Hi @swwong1 ,

The solution in above thread can't get your desired result base on my testing. Please copy and paste the below applied codes in your Advanced Editor and check whether it can be used as a workaround... You can find the details in the attachment.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCg12VNJRckoszk4tSUrMyQFyQChWByYVXJ6Zm5uZl44hYWhgkIshCESORckZqUWVMHHH0uKSosSczETsZiFLQ5BTYgpQTUl+HljeOSMzDyQXlJmWk4qkDyYekpiUk6oQkpqXl1mMRRqLCjRpNOciySA7ODYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Gold = _t, Silver = _t, Bronze = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"Gold", type text}, {"Silver", type text}, {"Bronze", type text}}),
    #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"Gold", "Silver", "Bronze"}, "Attribute", "Value"),
    #"Filtered Rows" = Table.SelectRows(#"Unpivoted Only Selected Columns", each ([Value] <> "")),
    #"Grouped Rows" = Table.Group(#"Filtered Rows", {"Country","Attribute"}, {{"Value", each Text.Combine([Value],"; "), type text}}),
    #"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

yingyinr_0-1628063113156.png

 

 

Best Regards

Community Support Team _ Rena
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

3 REPLIES 3
amitchandak
Super User
Super User

@swwong1 . this should be best correct at source.

Let us check if this can done in M.

 

@ImkeF , can you help with this.

@amitchandak, many thanks for looking into it.

 

The below is the StackOverflow link which provides the solution I require but I am not sure where to put this code in PQ/PBI.

 

https://stackoverflow.com/questions/64802547/move-up-values-when-null-power-query

Hi @swwong1 ,

The solution in above thread can't get your desired result base on my testing. Please copy and paste the below applied codes in your Advanced Editor and check whether it can be used as a workaround... You can find the details in the attachment.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCg12VNJRckoszk4tSUrMyQFyQChWByYVXJ6Zm5uZl44hYWhgkIshCESORckZqUWVMHHH0uKSosSczETsZiFLQ5BTYgpQTUl+HljeOSMzDyQXlJmWk4qkDyYekpiUk6oQkpqXl1mMRRqLCjRpNOciySA7ODYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Gold = _t, Silver = _t, Bronze = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"Gold", type text}, {"Silver", type text}, {"Bronze", type text}}),
    #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"Gold", "Silver", "Bronze"}, "Attribute", "Value"),
    #"Filtered Rows" = Table.SelectRows(#"Unpivoted Only Selected Columns", each ([Value] <> "")),
    #"Grouped Rows" = Table.Group(#"Filtered Rows", {"Country","Attribute"}, {{"Value", each Text.Combine([Value],"; "), type text}}),
    #"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

yingyinr_0-1628063113156.png

 

 

Best Regards

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

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