Forum Discussion
Month MAX record
- 9 years ago
An alternative in - advanced - Power Query would be:
let Source = TransactionTable, Grouped = Table.Group(Source, {"Tran_DT"}, {{"AllData", each Table.MaxN(_,"TransactionCount",1), Value.Type(Source)}},null, (x,y) => let Sort1 = Value.Compare(Date.Year(x[Tran_DT]),Date.Year(y[Tran_DT])), Sort2 = if Sort1 <> 0 then Sort1 else Value.Compare(Date.Month(x[Tran_DT]),Date.Month(y[Tran_DT])) in Sort2), Removed = Table.RemoveColumns(Grouped,{"Tran_DT"}), Expanded = Table.ExpandTableColumn(Removed, "AllData", {"Tran_DT", "TransactionCount"}, {"Tran_DT", "TransactionCount"}) in ExpandedBasically it is "Group By" Tran_DT, but taking full advantage of Table.Group capacities;
Syntax of Table.Group:
Table.Group(table as table, key as any, aggregatedColumns as list, optional groupKind as nullable number, optional comparer as function) as table
A custom comparer function is provided to group on year/month (the inner "let .. in" part).
Parameter aggregatedColumns is adjusted so a table is returned with 1 record (the maximum TransactionCount) and with the same columntypes as table Source (this is the part Value.Type(Source)).
Note that the column "Tran_DT" after grouping does not contain the date on which the maximum was reached, so this column is removed.
The nested tables in column "AllData" contain exactly the information you require, so after expanding the nested tables, you have your result.
anupampandey the max transaction date is the same as lastdate in this context if you use the month on your graph
please can you rather put in a matrix with the month and the measure as its hard to know what data is contained there
Above is the screen shot for your reference. Yellow highlighted part is coming in result and red circled is what is desired.
Thanks,
Anupam
- MarcelBeug9 years ago
Community Champion
An alternative in - advanced - Power Query would be:
let Source = TransactionTable, Grouped = Table.Group(Source, {"Tran_DT"}, {{"AllData", each Table.MaxN(_,"TransactionCount",1), Value.Type(Source)}},null, (x,y) => let Sort1 = Value.Compare(Date.Year(x[Tran_DT]),Date.Year(y[Tran_DT])), Sort2 = if Sort1 <> 0 then Sort1 else Value.Compare(Date.Month(x[Tran_DT]),Date.Month(y[Tran_DT])) in Sort2), Removed = Table.RemoveColumns(Grouped,{"Tran_DT"}), Expanded = Table.ExpandTableColumn(Removed, "AllData", {"Tran_DT", "TransactionCount"}, {"Tran_DT", "TransactionCount"}) in ExpandedBasically it is "Group By" Tran_DT, but taking full advantage of Table.Group capacities;
Syntax of Table.Group:
Table.Group(table as table, key as any, aggregatedColumns as list, optional groupKind as nullable number, optional comparer as function) as table
A custom comparer function is provided to group on year/month (the inner "let .. in" part).
Parameter aggregatedColumns is adjusted so a table is returned with 1 record (the maximum TransactionCount) and with the same columntypes as table Source (this is the part Value.Type(Source)).
Note that the column "Tran_DT" after grouping does not contain the date on which the maximum was reached, so this column is removed.
The nested tables in column "AllData" contain exactly the information you require, so after expanding the nested tables, you have your result.
- vanessafvg9 years ago
Community Champion
anupampandey now i get it. sheesh i totally missed that MarcelBeug seems like a good solution
otherwise in dax you will probably need to rank your transaction
see below.
- v-ljerr-msft9 years ago
Microsoft Employee
Hi anupampandey,
Have you tried the solution provided by MarcelBeug above? Does it work in your scenario? If it works, could you accept it as solution to close this thread?
If you still have any question on this issue, feel free to post here. :smileyhappy:
Regards