Forum Discussion
Requesting help to group events by time
I have about two years worth of data with several thousand IDs. I filtered this example to just show one ID but there are many 1,000. I want to group events on this table by two-hour intervals by ID.
I want to create a column that looks at the earliest time within a two-hour window. The screenshot below shows what the column would look like if I had the logic right. When two hours passes from the first time, the next times are then grouped with that earliest time and so on until the day changes.
I prefer to create this column in Power Query but I am open to using DAX as well.
How do I do that? Thank you so much!!
- Anonymous1 year ago
Hi webbta ,
I create sample data myself, including different IDs and different days:Then you can put the whole M code below into the Advanced Editor:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddBLDsMgDATQq0SsI8U/HJhduq/UfZT7X6OkpUgNYf3wePC+B+aFeBESm2iFCKJP2zPMYQvH/M8JlMFpxA4zKE+ve15hjtixVM7nbqNreGVmUAR31X5caivUB+En5/JitJsRS/P05UfHXj59VhuyKshHnMDxZlobR4LUo/ZsMAXn0bR/wu3K1ljWkt/Cjzc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, ID = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type datetime}, {"ID", type text}}), FillEarliestTime = (table as table) as table => let ListOfRecords = Table.ToRecords(table), init = {List.First(ListOfRecords)[Date]}, accFunc = (acc as list, curr as record) => let lastTime = List.Last(acc), duration = Duration.TotalMinutes(curr[Date] - lastTime) in if duration <= 120 then acc & {lastTime} else acc & {curr[Date]}, ListOfEarliestTimes = List.Accumulate(List.Skip(ListOfRecords, 1), init, accFunc), FilledTable = Table.FromColumns(Table.ToColumns(table) & {ListOfEarliestTimes}, Table.ColumnNames(table) & {"Earliest Time"}) in FilledTable, #"Grouped Table" = Table.Group(#"Changed Type", {"ID"}, {{"GroupedTable", each FillEarliestTime(_), type table [Date=nullable datetime, ID=nullable text, Earliest Time=nullable datetime]}}), #"Expanded GroupedTable" = Table.ExpandTableColumn(#"Grouped Table", "GroupedTable", {"Date", "Earliest Time"}, {"Date", "Earliest Time"}) in #"Expanded GroupedTable"And the final output is as below:
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Hi tw2024, that means your data are not sorted as you showed as in your sample. Try this one and let me know:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddE9DoMwDAXgq6DMSPgvJnkb3St1R9z/Gg0tpYIk8xc/O/a6BuaJeBISG2iGCKIPyzOMYQnbeOUEyuDUY4cZlIdXm2eYI1YsB+e9t9E9/GBmUARXo/24jK1Q74TvnMuLXm9GLJOnLz8q9vLpfbQuq4K8xwkcG9V6ciTIsdSaDabg3Kv2T7jd2U6WueT3whPEGvfW/84v997e", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, ID = _t]), ChangedType = Table.TransformColumnTypes(Source,{{"Date", type datetime}, {"ID", type text}}, "en-US"), GroupedRows = Table.Group(ChangedType, {"ID"}, {{"All", each [ // aDetail = GroupedRows{[ID="A"]}[All], aDetail = Table.Sort(_, {{"Date", Order.Ascending}}), aGroupedRows = Table.Group(aDetail, {"Date"}, {{"T", each Table.AddColumn(_, "Earliest Time", (x)=> Time.From([Date]{0}), type time), type table}}, 0, (x,y)=> Byte.From( (y[Date] - x[Date]) >= #duration(0,2,0,0) ) ), aCombinedT = Table.Combine(aGroupedRows[T]) ][aCombinedT], type table}}), CombinedAll = Table.Combine(GroupedRows[All]) in CombinedAll
12 Replies
- lbendlinSuper User
Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
Do not include sensitive information. Do not include anything that is unrelated to the issue or question.
Please show the expected outcome based on the sample data you provided.
Need help uploading data? https://community.fabric.microsoft.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-Forum/ba-p/963216
Want faster answers? https://community.fabric.microsoft.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447523 - Omid_MotamediseSuper User
Hi webbta
This problem can be easily solve just by using the fifith argument of Table.Group
copy the below code and past it into the advance editor to see its magic
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddBLDsMgDATQq0SsI8U/HJhduq/UfZT7X6OkpUgNYf3wePC+B+aFeBESm2iFCKJP2zPMYQvH/M8JlMFpxA4zKE+ve15hjtixVM7nbqNreGVmUAR31X5caivUB+En5/JitJsRS/P05UfHXj59VhuyKshHnMDxZlobR4LUo/ZsMAXn0bR/wu3K1ljWkt/Cjzc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, ID = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type datetime}}), #"Grouped Rows" = Table.Group(#"Changed Type", "Date", {{"Count", each _, type table [Date=nullable text, ID=nullable text]}},0,(a,b)=>Number.From((b-a)>#duration(0,2,0,0))) in #"Grouped Rows"- tw2024New Member
This was the result for the above method - I wasn't able to see how to find the earliest time by ID and date.
- webbtaRegular Visitor
Thank you so much for answering! And I think I was sloppy with my first example and I messed up a cell or two.
An example would be a list of IDs with a timestamp. I want to create a calculated column that finds the earliest time in the previous two hours.
If there is no time in the previous two hours, then that time becomes the new earliest time.
The next photo with the Earliest Time column heading shows the expected output of the calculated column based on the logic I have in mind.- AnonymousNot applicable
Hi webbta ,
I create sample data myself, including different IDs and different days:Then you can put the whole M code below into the Advanced Editor:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddBLDsMgDATQq0SsI8U/HJhduq/UfZT7X6OkpUgNYf3wePC+B+aFeBESm2iFCKJP2zPMYQvH/M8JlMFpxA4zKE+ve15hjtixVM7nbqNreGVmUAR31X5caivUB+En5/JitJsRS/P05UfHXj59VhuyKshHnMDxZlobR4LUo/ZsMAXn0bR/wu3K1ljWkt/Cjzc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, ID = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type datetime}, {"ID", type text}}), FillEarliestTime = (table as table) as table => let ListOfRecords = Table.ToRecords(table), init = {List.First(ListOfRecords)[Date]}, accFunc = (acc as list, curr as record) => let lastTime = List.Last(acc), duration = Duration.TotalMinutes(curr[Date] - lastTime) in if duration <= 120 then acc & {lastTime} else acc & {curr[Date]}, ListOfEarliestTimes = List.Accumulate(List.Skip(ListOfRecords, 1), init, accFunc), FilledTable = Table.FromColumns(Table.ToColumns(table) & {ListOfEarliestTimes}, Table.ColumnNames(table) & {"Earliest Time"}) in FilledTable, #"Grouped Table" = Table.Group(#"Changed Type", {"ID"}, {{"GroupedTable", each FillEarliestTime(_), type table [Date=nullable datetime, ID=nullable text, Earliest Time=nullable datetime]}}), #"Expanded GroupedTable" = Table.ExpandTableColumn(#"Grouped Table", "GroupedTable", {"Date", "Earliest Time"}, {"Date", "Earliest Time"}) in #"Expanded GroupedTable"And the final output is as below:
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.- webbtaRegular Visitor
Dino, Thank you tremendously! Your solution worked for me and I was able to incorporate it into my pbx.
- webbtaRegular Visitor
I uploaded a pbx file with sample data to Google Drive.
https://drive.google.com/file/d/1VR0i82Be3bnqIohWvZzdYzQgDhHyAKJI/view?usp=sharing - dufoq3Community Champion
Hi webbta, check this:
Output
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddBLDsMgDATQq0SsI8U/HJhduq/UfZT7X6OkpUgNYf3wePC+B+aFeBESm2iFCKJP2zPMYQvH/M8JlMFpxA4zKE+ve15hjtixVM7nbqNreGVmUAR31X5caivUB+En5/JitJsRS/P05UfHXj59VhuyKshHnMDxZlobR4LUo/ZsMAXn0bR/wu3K1ljWkt/Cjzc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, ID = _t]), ChangedType = Table.TransformColumnTypes(Source,{{"Date", type datetime}, {"ID", type text}}, "en-US"), GroupedRows = Table.Group(ChangedType, {"Date", "ID"}, {{"T", each Table.AddColumn(_, "Earliest Time", (x)=> Time.From([Date]{0}), type time), type table}}, GroupKind.Local, (x,y)=> Byte.From( (y[Date] - x[Date]) >= #duration(0,2,0,0) ) ), Combined = Table.Combine(GroupedRows[T]) in Combined- tw2024New Member
Hello! Thank you for responding. I tried this method but I was not able to get them to group properly because sometimes (using your example) the ID labeld B is mixed with the ID labeled A. So some of B will be before 2.11 and before 3.11 and the times are not showing properly for different ID types.
- dufoq3Community Champion
Hi tw2024, that means your data are not sorted as you showed as in your sample. Try this one and let me know:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddE9DoMwDAXgq6DMSPgvJnkb3St1R9z/Gg0tpYIk8xc/O/a6BuaJeBISG2iGCKIPyzOMYQnbeOUEyuDUY4cZlIdXm2eYI1YsB+e9t9E9/GBmUARXo/24jK1Q74TvnMuLXm9GLJOnLz8q9vLpfbQuq4K8xwkcG9V6ciTIsdSaDabg3Kv2T7jd2U6WueT3whPEGvfW/84v997e", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, ID = _t]), ChangedType = Table.TransformColumnTypes(Source,{{"Date", type datetime}, {"ID", type text}}, "en-US"), GroupedRows = Table.Group(ChangedType, {"ID"}, {{"All", each [ // aDetail = GroupedRows{[ID="A"]}[All], aDetail = Table.Sort(_, {{"Date", Order.Ascending}}), aGroupedRows = Table.Group(aDetail, {"Date"}, {{"T", each Table.AddColumn(_, "Earliest Time", (x)=> Time.From([Date]{0}), type time), type table}}, 0, (x,y)=> Byte.From( (y[Date] - x[Date]) >= #duration(0,2,0,0) ) ), aCombinedT = Table.Combine(aGroupedRows[T]) ][aCombinedT], type table}}), CombinedAll = Table.Combine(GroupedRows[All]) in CombinedAll