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christo45
Frequent Visitor

Group by continuous sequence

Hello everybody.
I have problem with power query
I would like to transform a table like the exemple by grouping with IdDemand + Team with. I want the Min DateTime and the Max DateTime for each continuous sequence of IdDemand + Team
The team can learn at different times later

Below the example:

 

Power1.PNG

 

Datas

IdDemand TeamCreateDateTime
1A1/7/23 12:00
1B1/7/23 14:00
1B2/7/23 2:00
1C4/7/23 5:00
1B5/7/23 5:30
1B6/7/23 1:00
1B6/7/23 20:30
1A7/7/23 0:50
2C8/7/23 0:00
2C9/7/23 0:00
2B10/7/23 0:00
2B11/7/23 0:00
2B12/7/23 0:00
2B12/7/23 23:00
2A13/7/23 0:00
2B14/7/23 0:00
2B15/7/23 0:00
2C16/7/23 0:00

 


Thank you all for your attention

1 ACCEPTED SOLUTION
BA_Pete
Super User
Super User

Hi @christo45 ,

 

You can use the GroupKind argument to do this.

First, multi-select (Ctrl+Click) [IdDmand] and [Team].

Go to the Home tab > Group By.

In the dialog, create aggreagted columns for [MinDate] as MIN of [CreatedDateTime], and similar for MAX.

Once you've applied this, just add this little bit to the end of your Group By step:

BA_Pete_0-1694012974533.png

Full example query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hZBJCoAwDEWvIlkLZmisulOPId7/Gg5poS0GF9m8l0+G4wCCHta7aIgDS0e8IMLZm9gKEVrBJqrAflcwrm2/Zi41H9OAtj9xxjLwrBpN4KLGOQ2eMseazx/8vQw9QZ7gH8FSmvev4kWCJ9S5g8ZSnBc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"IdDemand " = _t, Team = _t, CreateDateTime = _t]),
    chgTypes = Table.TransformColumnTypes(Source,{{"IdDemand ", Int64.Type}, {"Team", type text}, {"CreateDateTime", type datetime}}),

    groupIdTeamLocal = Table.Group(chgTypes, {"IdDemand ", "Team"}, {{"minDate", each List.Min([CreateDateTime]), type nullable datetime}, {"maxDate", each List.Max([CreateDateTime]), type nullable datetime}}, GroupKind.Local)
    
in
    groupIdTeamLocal

 

Example query output:

BA_Pete_1-1694013037421.png

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




View solution in original post

3 REPLIES 3
christo45
Frequent Visitor

I'm so happy, I spent a few hours on this problem only to discover that I was missing two words GroupKind.Local...
Thank you so much

 

No problem, happy to help.

Feel free to give a thumbs-up on any posts that help you 👍

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




BA_Pete
Super User
Super User

Hi @christo45 ,

 

You can use the GroupKind argument to do this.

First, multi-select (Ctrl+Click) [IdDmand] and [Team].

Go to the Home tab > Group By.

In the dialog, create aggreagted columns for [MinDate] as MIN of [CreatedDateTime], and similar for MAX.

Once you've applied this, just add this little bit to the end of your Group By step:

BA_Pete_0-1694012974533.png

Full example query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hZBJCoAwDEWvIlkLZmisulOPId7/Gg5poS0GF9m8l0+G4wCCHta7aIgDS0e8IMLZm9gKEVrBJqrAflcwrm2/Zi41H9OAtj9xxjLwrBpN4KLGOQ2eMseazx/8vQw9QZ7gH8FSmvev4kWCJ9S5g8ZSnBc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"IdDemand " = _t, Team = _t, CreateDateTime = _t]),
    chgTypes = Table.TransformColumnTypes(Source,{{"IdDemand ", Int64.Type}, {"Team", type text}, {"CreateDateTime", type datetime}}),

    groupIdTeamLocal = Table.Group(chgTypes, {"IdDemand ", "Team"}, {{"minDate", each List.Min([CreateDateTime]), type nullable datetime}, {"maxDate", each List.Max([CreateDateTime]), type nullable datetime}}, GroupKind.Local)
    
in
    groupIdTeamLocal

 

Example query output:

BA_Pete_1-1694013037421.png

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




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