Data Manipulation Help

Hi Derek0834,
My sample data:

Result:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Calendar Year" = _t, CALENDAR_MONTH = _t, UNIT_OF_MEASURE = _t, RESOURCE_UNITS_1 = _t, RESOURCE_UNITS_2 = _t, RESOURCE_UNITS_3 = _t, RESOURCE_UNITS_4 = _t, RESOURCE_UNITS_5 = _t, RESOURCE_UNITS_6 = _t, RESOURCE_UNITS_7 = _t, RESOURCE_UNITS_8 = _t, RESOURCE_UNITS_9 = _t, RESOURCE_UNITS_10 = _t, RESOURCE_UNITS_11 = _t, RESOURCE_UNITS_12 = _t, RESOURCE_UNITS_13 = _t, RESOURCE_UNITS_14 = _t, RESOURCE_UNITS_15 = _t, RESOURCE_UNITS_16 = _t, RESOURCE_UNITS_17 = _t, RESOURCE_UNITS_18 = _t, RESOURCE_UNITS_19 = _t, RESOURCE_UNITS_20 = _t, RESOURCE_UNITS_21 = _t, RESOURCE_UNITS_22 = _t, RESOURCE_UNITS_23 = _t, RESOURCE_UNITS_24 = _t, RESOURCE_UNITS_25 = _t, RESOURCE_UNITS_26 = _t, RESOURCE_UNITS_27 = _t, RESOURCE_UNITS_28 = _t, RESOURCE_UNITS_29 = _t, RESOURCE_UNITS_30 = _t, RESOURCE_UNITS_31 = _t]),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Calendar Year", "CALENDAR_MONTH", "UNIT_OF_MEASURE"}, "Day", "Resource Units"),
    #"Extracted Text After Delimiter" = Table.TransformColumns(#"Unpivoted Other Columns", {{"Day", each Text.AfterDelimiter(_, "_", {0, RelativePosition.FromEnd}), type text}}),
    #"Changed Type" = Table.TransformColumnTypes(#"Extracted Text After Delimiter",{{"Calendar Year", Int64.Type}, {"CALENDAR_MONTH", Int64.Type}, {"UNIT_OF_MEASURE", type text}, {"Day", Int64.Type}, {"Resource Units", Int64.Type}})
in
    #"Changed Type"

Hi Derek

Thanks for you well described question.

Next time please provide example data as text rather than a picture, so we can quicky import it rather than retype all the test data again.

Download the solution here

Click to get PBIX from OneDrive 

How it works ....

Select the year, month and uom columns and then unpivot the other columns

Add column > Extract >Text after delimiter, Advance options to get the day number after last _ in the the resource name

Change day data tyope from from text  to a number

Use the year, month and date to add a new date column

Remove the unneeded columns

Thanks for the clear description of the problem with example data. I wish everyone did that!

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