Forum Discussion
Help with transforming (cleaning?) data from an odd source
yeah, that is a beast.
Your "24:00" made me chuckle. Haven't seen that in a looong time.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bZDBbsMgEER/ZeVeIwV2iUt6cxMnsUSM5OCqkuX//40EPLg1ygE9hmF3FqapomqXlrJ71tj/X/GcN2fzbqoeoQmd7186+NC4F1l9KRWpQQYFNAsVfAVfwVfJj71Pp5Hu/jw6T75viVIqcX1IJNILjUAfFwp8k30GLViv019c87hR21+H5qcd1gSLSkIlfy7UIBvonAhtFHxeJ4gpzt/ID99doA8duyJFowqayBYaaYKukjXusazvLVL4r4u2RUqu0vL+TVyDurhvU8p9dKG7uPZ3k8J1Mbvk6uP2p/JPZl9k+2PC1Tw/AQ==", 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, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t]), #"Transposed Table" = Table.Transpose(Source), #"Removed Top Rows" = Table.Skip(#"Transposed Table",2), #"Changed Type" = Table.TransformColumnTypes(#"Removed Top Rows",{{"Column1", type datetime}}), #"Filled Down" = Table.FillDown(#"Changed Type",{"Column1"}), #"Replaced Value" = Table.ReplaceValue(#"Filled Down",each [Column1],each Text.From(try [Column1] + Duration.FromText([Column2]) otherwise [Column1] + #duration(1,0,0,0)),Replacer.ReplaceValue,{"Column1"}), LZ = List.Zip({Table.ColumnNames(Source),List.FirstN(#"Transposed Table"[Column2],2) & #"Replaced Value"[Column1]}), #"Replaced Column Names" = Table.RenameColumns(Source,LZ), #"Removed Top Rows1" = Table.Skip(#"Replaced Column Names",2), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Removed Top Rows1", {"STATION", "TOTAL"}, "Timestamp", "Value"), #"Changed Type1" = Table.TransformColumnTypes(#"Unpivoted Other Columns",{{"TOTAL", Int64.Type}, {"Timestamp", type datetime}, {"Value", Int64.Type}}) in #"Changed Type1"How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the Source step with your own source.
Super UserRemember that the first row can be addressed as {0}, the second row as {1} etc. You can use Power Query to combine values from cells in different rows.
Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
Do not include sensitive information or anything not related to the issue or question.
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Please show the expected outcome based on the sample data you provided.
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Here is an example
| 08/21 | 08/22 | |||||||||
| STATION | TOTAL | 20:00 | 21:00 | 22:00 | 23:00 | 24:00 | 01:00 | 02:00 | 03:00 | 04:00 |
| CCU MODULO ONE | 265 | 1 | 43 | 9 | 35 | 41 | 42 | 48 | 46 | |
| FLASH ENGRAVER | 281 | 2 | 27 | 17 | 24 | 19 | 34 | 40 | 22 | 41 |
| LOH ORBIT #1 | 214 | 8 | 7 | 30 | 37 | 38 | 23 | 35 | ||
| LOH ORBIT #2 | 184 | 23 | 13 | 17 | 24 | 26 | 21 | 23 | 18 | |
| MULTIFLEX #2 | 268 | 31 | 29 | 19 | 27 | 31 | 33 | 22 | 32 |
- lbendlin
yeah, that is a beast.
Your "24:00" made me chuckle. Haven't seen that in a looong time.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bZDBbsMgEER/ZeVeIwV2iUt6cxMnsUSM5OCqkuX//40EPLg1ygE9hmF3FqapomqXlrJ71tj/X/GcN2fzbqoeoQmd7186+NC4F1l9KRWpQQYFNAsVfAVfwVfJj71Pp5Hu/jw6T75viVIqcX1IJNILjUAfFwp8k30GLViv019c87hR21+H5qcd1gSLSkIlfy7UIBvonAhtFHxeJ4gpzt/ID99doA8duyJFowqayBYaaYKukjXusazvLVL4r4u2RUqu0vL+TVyDurhvU8p9dKG7uPZ3k8J1Mbvk6uP2p/JPZl9k+2PC1Tw/AQ==", 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, Column7 = _t, Column8 = _t, Column9 = _t, Column10 = _t, Column11 = _t]), #"Transposed Table" = Table.Transpose(Source), #"Removed Top Rows" = Table.Skip(#"Transposed Table",2), #"Changed Type" = Table.TransformColumnTypes(#"Removed Top Rows",{{"Column1", type datetime}}), #"Filled Down" = Table.FillDown(#"Changed Type",{"Column1"}), #"Replaced Value" = Table.ReplaceValue(#"Filled Down",each [Column1],each Text.From(try [Column1] + Duration.FromText([Column2]) otherwise [Column1] + #duration(1,0,0,0)),Replacer.ReplaceValue,{"Column1"}), LZ = List.Zip({Table.ColumnNames(Source),List.FirstN(#"Transposed Table"[Column2],2) & #"Replaced Value"[Column1]}), #"Replaced Column Names" = Table.RenameColumns(Source,LZ), #"Removed Top Rows1" = Table.Skip(#"Replaced Column Names",2), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Removed Top Rows1", {"STATION", "TOTAL"}, "Timestamp", "Value"), #"Changed Type1" = Table.TransformColumnTypes(#"Unpivoted Other Columns",{{"TOTAL", Int64.Type}, {"Timestamp", type datetime}, {"Value", Int64.Type}}) in #"Changed Type1"How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the Source step with your own source.
Thanks, I have to wiggle the code a little but that did the trick.
- lbendlin
Note that I mapped the "24:00" to 00:00 of the next day.