March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Hi,
I have the following example dataset:
Name | Task | Days | Day |
1 | A | 1 | 01/01/2020 |
1 | A | 1 | 02/01/2020 |
1 | B | 1 | 03/01/1900 |
1 | B | 1 | 04/01/2020 |
1 | B | 1 | 05/01/2020 |
2 | A | 1 | 01/01/2020 |
2 | A | 1 | 02/01/2020 |
2 | B | 1 | 03/01/1900 |
2 | B | 1 | 04/01/2020 |
2 | B | 1 | 05/01/2020 |
I am trying to achieve something similar to the below:
Name | Task | Days | Week |
1 | A | 2 | 01/01/2020 |
1 | B | 3 | 01/01/2020 |
2 | A | 2 | 01/01/2020 |
2 | B | 3 | 01/01/2020 |
Solved! Go to Solution.
Hi @rossmccoriston ,
I am not sure whether "03/01/1900" is mis-writing? If so, you also could refer to below M code for details.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIEYhBtYKgPREYGRgZKsTpoUkYYUk4wKWPcUia4pUxRpIxwO8MItzOMcDvDCLczjHA4IxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, #"Task " = _t, Days = _t, Day = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", Int64.Type}, {"Task ", type text}, {"Days", Int64.Type}, {"Day", type date}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Name"}, {{"minDay", each List.Min([Day]), type date}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Name"}, #"Grouped Rows", {"Name"}, "Grouped Rows", JoinKind.RightOuter),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"minDay"}, {"minDay"}),
#"Grouped Rows1" = Table.Group(#"Expanded Grouped Rows", {"Name", "Task "}, {{"Count", each Table.RowCount(_), type number}, {"min", each List.Min([minDay]), type date}})
in
#"Grouped Rows1"
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @rossmccoriston ,
I am not sure whether "03/01/1900" is mis-writing? If so, you also could refer to below M code for details.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIEYhBtYKgPREYGRgZKsTpoUkYYUk4wKWPcUia4pUxRpIxwO8MItzOMcDvDCLczjHA4IxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, #"Task " = _t, Days = _t, Day = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", Int64.Type}, {"Task ", type text}, {"Days", Int64.Type}, {"Day", type date}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Name"}, {{"minDay", each List.Min([Day]), type date}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Name"}, #"Grouped Rows", {"Name"}, "Grouped Rows", JoinKind.RightOuter),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"minDay"}, {"minDay"}),
#"Grouped Rows1" = Table.Group(#"Expanded Grouped Rows", {"Name", "Task "}, {{"Count", each Table.RowCount(_), type number}, {"min", each List.Min([minDay]), type date}})
in
#"Grouped Rows1"
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@rossmccoristonin case you are looking to pivot mulitple times, you may have a look at below blog
https://kohera.be/blog/power-bi/how-to-unpivot-twice/
Else, please provide the output that you are looking for clearly.
Proud to be a Super User!
What is the logic for the last column?? Always 01/01/2020? If so:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIEYhBtYKgPREYGRgZKsTpoUkYYUk4wKWOQlKGlARYpE9y6TFGkjHA7wwi3M4xwO8MItzOMcDgjFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Task " = _t, Days = _t, Day = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", Int64.Type}, {"Task ", type text}, {"Days", Int64.Type}, {"Day", type date}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Name", "Task "}, {{"Days", each Table.RowCount(_), type number}}),
#"Added Custom" = Table.AddColumn(#"Grouped Rows", "Week", each #date(2020,1,1), type date)
in
#"Added Custom"
Please mark the question solved when done and consider giving kudos if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.