Consolidating 'repeat' rows containing differing data

[tkk]

First off, I apologize for the confusing title, I wasn't sure exactly what to call what I need done but this screenshot and explanation should clear things up. 

In the image of my Power Query Editor you'll see that the rows 'Equipment' and 'Object Text' (the columns mentioned are the 1st and 2nd respectively) repeat 4-6 times while all the columns after that are null except for 1 column in each row that contains data specific to the repeated "Equipment' and 'Object Text'. I am trying to consolidate the repeating rows into 1 row that contains all the data specific to each Eq # and removes the nulls by replacing them with the data that should be there. 

I want to say I would like to group by the 'Equipment' or 'Object Text' columns but that creates individual tables for each Eq #.

 

[ImkeF · Accepted solution]

Hi @tkk ,
you could:

1. Check the first 2 columns
2. Mouse-right-click: Unpivot other columns
3. Filter out blank values in column "Value"
4. Check column "Attribute": Pivot - selelect column "Value" as the Values column and in the Advanced options: "Don't aggregate".

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUTIEYhCK1YHwgSgdjQ9WBeInocknweUz4HyYnthYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column1"}, "Attribute", "Value"),
    #"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> "")),
    #"Pivoted Column" = Table.Pivot(#"Filtered Rows", List.Distinct(#"Filtered Rows"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

 Or check the file attached.

[tkk]

Thank you so much! It worked like magic! That was exactly what I was trying to do, you're awesome!