Forum Discussion
Eliminating table entries with multiple records
Hi,
I would appreciate help with the following. I feel the solution is simple but somehow I am missing it.
I have a table with the following data:
ID Date Result
1 2/11/2019 NEGATIVE
1 1/1/2020 NEGATIVE
1 4/3/2020 POSITIVE
2 2/2/2020 NEGATIVE
3 2/3/2020 NEGATIVE
3 4/4/2020 NEGATIVE
I want to create a table with entries, where there is a NEGATIVE result and where there has not been a subsequent POSITIVE result. Using the above the result will be:
ID Date Result
2 2/2/2020 NEGATIVE
3 2/3/2020 NEGATIVE
3 4/4/2020 NEGATIVE
Thanks in advance for any help with this.
Regards, Phillip
you can create a new table
Table = VAR tbl=ADDCOLUMNS(Sheet4,"result2",CALCULATE(COUNTX(FILTER(Sheet4,Sheet4[ Result]="POSITIVE"),Sheet4[ Result]),ALLEXCEPT(Sheet4,Sheet4[ID ]))) return SELECTCOLUMNS(FILTER(tbl,ISBLANK([result2])),"ID",Sheet4[ID ],"Date",'Sheet4'[ Date ],"Result",Sheet4[ Result])Hi pntlindsay ,
You also could use M code to achieve this goal(use this in power query editor, Transform Data->Advanced editor).
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTLSNzTUNzIwtASy/VzdHUM8w1yVYnUgkob6IDkjA2xyJvrGMLkA/2BPuJwR2FAjrPqMwXLGOOVM9E0w5WIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, date = _t, result = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"date", type date}, {"result", type text}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"ID"}, {{"combine", each Text.Combine([result], ","), type text}, {"all", each _, type table [ID=number, date=date, result=text]}}), #"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each not Text.Contains([combine], "POSITIVE")), #"Expanded all" = Table.ExpandTableColumn(#"Filtered Rows", "all", {"date", "result"}, {"date", "result"}), #"Removed Columns" = Table.RemoveColumns(#"Expanded all",{"combine"}) in #"Removed Columns"Best Regards,
Zoe ZhiIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
3 Replies
ryan_mayuSuper User
you can create a new table
Table = VAR tbl=ADDCOLUMNS(Sheet4,"result2",CALCULATE(COUNTX(FILTER(Sheet4,Sheet4[ Result]="POSITIVE"),Sheet4[ Result]),ALLEXCEPT(Sheet4,Sheet4[ID ]))) return SELECTCOLUMNS(FILTER(tbl,ISBLANK([result2])),"ID",Sheet4[ID ],"Date",'Sheet4'[ Date ],"Result",Sheet4[ Result])- amitchandak
pntlindsay , Create a new table like
filter(summarize(Table, Table[ID],, Table[ID] , table[Result], "_1",calculated(countrows(filter(Table,Table[Result]="NEGATIVE")),allexcept(Table[Id]))+0),[_1]=0)
- dax
Community Support
Hi pntlindsay ,
You also could use M code to achieve this goal(use this in power query editor, Transform Data->Advanced editor).
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTLSNzTUNzIwtASy/VzdHUM8w1yVYnUgkob6IDkjA2xyJvrGMLkA/2BPuJwR2FAjrPqMwXLGOOVM9E0w5WIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, date = _t, result = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"date", type date}, {"result", type text}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"ID"}, {{"combine", each Text.Combine([result], ","), type text}, {"all", each _, type table [ID=number, date=date, result=text]}}), #"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each not Text.Contains([combine], "POSITIVE")), #"Expanded all" = Table.ExpandTableColumn(#"Filtered Rows", "all", {"date", "result"}, {"date", "result"}), #"Removed Columns" = Table.RemoveColumns(#"Expanded all",{"combine"}) in #"Removed Columns"Best Regards,
Zoe ZhiIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
