Fill Adjacent Blank Cells

[dmarkie]

Hello;

I am trying to transform a table that has a couple of columns similar to below.  There are hundreds of MasterIDs.  Some MasterID have a corresponding VehID however there are some records/rows where the VehID is missing.  How might i fill these blank values with the same VehID value?  I've tried using Fill in various ways but with no luck.  

Thanks in advance

Dave

Master ID	Veh ID
355	225
355
355	255
355
355
355
355
355	225
450
450	210
450
450	210
450	210

[Vijay_A_Verma · Accepted solution]

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjY1VdJRMjIyVYrVgfGQmEamOCQIMmFGmpgawCQgTCNDA2IkwLxYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Master ID" = _t, #"Veh ID" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Master ID", Int64.Type}, {"Veh ID", Int64.Type}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Master ID"}, {{"Temp", each _, type table [Master ID=nullable number, Veh ID=nullable number]}}),
    //Function Start
    fxProcess=(Tbl)=>
        let
            #"Filled Down" = Table.FillDown(Tbl,{"Veh ID"}),
            #"Filled Up" = Table.FillUp(#"Filled Down",{"Veh ID"})
        in
            #"Filled Up",
    //Function ENd
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each fxProcess([Temp])),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Master ID", "Temp"}),
    #"Expanded Custom" = Table.ExpandTableColumn(#"Removed Columns", "Custom", {"Master ID", "Veh ID"}, {"Master ID", "Veh ID"})
in
    #"Expanded Custom"

[dmarkie]

Thank you Vijay for your answer.  I was able to sole this vai transforming the data in excel prior to the bi import.

Thanks again.

Dave