Forum Discussion
bn333
1 year agoNew Member
Urgent help needed
Hi, I need help with this, I weekly get spreadsheet looks likes below. I need to extract dates and employees present on that date using power query, please note sheets are saved in sharepoint folder...
- Anonymous1 year ago
Hi bn333 ,
Thanks for SamWiseOwl reply.
Sample dataColumn1 Column2 Column3 Column4 Column5 Column6 4/1/2024 4/2/2024 4/3/2024 4/4/2024 4/5/2024 DAILY TOTAL 6 7 7 7 7 Bank Holiday Jazzy D Glassy Suzy Momo Faty Kam Lolo Glassy 4/8/2024 4/9/2024 4/10/2024 4/11/2024 4/12/2024 DAILY TOTAL 21 27 25 44 24 Leslie Lolo Gogo Teliut Koko Fifi Momo Koko Nigek Nuytu Bibi Nuytu Puytyu Koko Fifi 4/15/2024 4/16/2024 4/17/2024 4/18/2024 4/19/2024 DAILY TOTAL 1 2 3 4 5 A B C D E
You can try the following codelet Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dVHLDoIwEPwV0jMJtoKPI74f+EjkYgiHGtE0VHuAHuDr3UWg9WDCdIftLJ0pSUKIS3yPemzA/IYyQ4eG+oYGX5q6CVmE2+jqxKc4jGBrBBj/ADVAZvydOxslxZ1X8LrjdV05C2BryYsCWxddYzmol+qG4FnxErt7/oI1UlKZkVbkexNjbGooHVjcCkfZP/OM4oK2WYBS1LdCPDwrpMgsF+qJJc6k0CVaVHlvfCUeosvS7rjkKJ5ZjlVXpe7vRdxE33PJGWqlzUzzoT4oDawYI4uPLW7dBp3+i9okBQxRBwi6Q0L0BJgD8PcsSZp+AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]), AddIndex = Table.AddIndexColumn(Source, "Index", 1, 1, Int64.Type), FilterDailyTotal = Table.SelectRows(AddIndex, each [Column1] = "DAILY TOTAL"), AddCustom = Table.AddColumn(AddIndex, "Custom", each if [Column1] = "DAILY TOTAL" then Text.From(List.PositionOf(FilterDailyTotal[Index], [Index])+1) else null), AddPreviousCustom = Table.AddColumn(AddCustom, "PreviousCustom", each if [Column1] = "DAILY TOTAL" then null else try AddCustom{[Index]}[Custom] otherwise null), FillCustom = Table.FillDown(AddPreviousCustom,{"PreviousCustom"}), RemoveIndex = Table.RemoveColumns(FillCustom,{"Index", "Custom", "Column1"}), GroupedTables = Table.Group(RemoveIndex, {"PreviousCustom"}, {{"AllData", each _}}), TransformTables = Table.TransformColumns(GroupedTables, {"AllData", each Table.Transpose(Table.RemoveColumns(_, {"PreviousCustom"}))}), #"Expanded AllData" = Table.ExpandTableColumn(TransformTables, "AllData", {"Column1", "Column2", "Column3", "Column4", "Column5"}, {"Column1", "Column2", "Column3", "Column4", "Column5"}), #"Removed Columns" = Table.RemoveColumns(#"Expanded AllData",{"PreviousCustom", "Column2"}), UnpivotedColumns = Table.UnpivotOtherColumns(#"Removed Columns", {"Column1"}, "Attribute", "Value"), FilteredRows = Table.SelectRows(UnpivotedColumns, each ([Value] <> null)), RenamedColumns = Table.RenameColumns(FilteredRows,{{"Column1", "Date"}, {"Value", "Name"}}), RemovedColumns = Table.RemoveColumns(RenamedColumns,{"Attribute"}) in RemovedColumnsFinal output
Best regards,
Albert HeIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly