Structuring data into desired format with pivoting/unpivoting

Select all the Day columns and Unpivot them.

Select the Type column and Pivot it using the newly created Value column as the Value,

Split the Day column by the left 3 characters. Tidy up the columns by removing the ones you don't want and renaming the ones that need it.

I followed HotChilli's instructions and I believe I got the exact result after I unpivoted the Day columns and then Pivoted the Type column using Value. Attached PBIX, here is the query code:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyVtJRCsnPBZLh+UXZQMoCBcfqoCpyKkpNBKkyBGIjKG2IoSo4Mzk7L7W4GMg0QMEghSamZkC2V2pRUSXCVnMkW82xKEO21xDFXlR1uG2OBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [WorkedID = _t, Name = _t, Type = _t, Day1 = _t, Day2 = _t, Day3 = _t, Day4 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"WorkedID", Int64.Type}, {"Name", type text}, {"Type", type text}, {"Day1", Int64.Type}, {"Day2", Int64.Type}, {"Day3", Int64.Type}, {"Day4", Int64.Type}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"WorkedID", "Name", "Type"}, "Attribute", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Type]), "Type", "Value", List.Sum)
in
    #"Pivoted Column"