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Hi,
I need assistance with converting 1 timesheet row into multiple 15 minute interval rows. As an example 1 row is showing as start time column 1am to end time column 9am. I need that row to change to 32 duplicate rows. Except 1 column would have all the different 15 min intervals
30/08/2019 1.00AM
30/08/2019 1.15AM
30/08/2019 1.30AM
30/08/2019 1.45AM
30/08/2019 2.00AM
30/08/2019 2.15AM
30/08/2019 2.30AM
Etc.
Is this possible to do this with M Code? Or even SQL?
Thank you
Cameron

Solved! Go to Solution.
Hi @lync0056 ,
We can meet your requirement in Power Query Editor.
1. Firstly, we have a table.
2. then we add a column to calculate the interval counts.
Duration.TotalMinutes([EndTime]-[StartTime])/15)
3. Then we add another list to contain all the time between this time, you can read this document about this function.
List.DateTimes([StartTime],[Custom]+1,#duration(0, 0, 15, 0))
(BTW, you can also change the Custom1 column to the formula Duration.TotalMinutes([EndTime]-[StartTime])/15))
4. expand the list
5. remove the column you do not want and rename the new column
the Complete M Query is here:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIEYiMDQ0t9C31jAwVDKwMDIFJIzEURtkQIx+pEKzmBJLHqK0DWZ4hsXGwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, Value = _t, StartTime = _t, EndTime = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Value", Int64.Type}, {"StartTime", type datetime}, {"EndTime", type datetime}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Duration.TotalMinutes([EndTime]-[StartTime])/15),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each List.DateTimes([StartTime],[Custom]+1,#duration(0, 0, 15, 0))),
#"Expanded Custom.1" = Table.ExpandListColumn(#"Added Custom1", "Custom.1"),
#"Removed Columns" = Table.RemoveColumns(#"Expanded Custom.1",{"StartTime", "EndTime", "Custom"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Custom.1", "Time"}})
in
#"Renamed Columns"BTW, pbix as attached.
Best regards,
Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @lync0056 ,
We can meet your requirement in Power Query Editor.
1. Firstly, we have a table.
2. then we add a column to calculate the interval counts.
Duration.TotalMinutes([EndTime]-[StartTime])/15)
3. Then we add another list to contain all the time between this time, you can read this document about this function.
List.DateTimes([StartTime],[Custom]+1,#duration(0, 0, 15, 0))
(BTW, you can also change the Custom1 column to the formula Duration.TotalMinutes([EndTime]-[StartTime])/15))
4. expand the list
5. remove the column you do not want and rename the new column
the Complete M Query is here:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIEYiMDQ0t9C31jAwVDKwMDIFJIzEURtkQIx+pEKzmBJLHqK0DWZ4hsXGwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, Value = _t, StartTime = _t, EndTime = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Value", Int64.Type}, {"StartTime", type datetime}, {"EndTime", type datetime}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Duration.TotalMinutes([EndTime]-[StartTime])/15),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each List.DateTimes([StartTime],[Custom]+1,#duration(0, 0, 15, 0))),
#"Expanded Custom.1" = Table.ExpandListColumn(#"Added Custom1", "Custom.1"),
#"Removed Columns" = Table.RemoveColumns(#"Expanded Custom.1",{"StartTime", "EndTime", "Custom"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Custom.1", "Time"}})
in
#"Renamed Columns"BTW, pbix as attached.
Best regards,
Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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