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Hi All,
i have two table with two column given below
Table1 | Table2 | |
Column A | Column B | |
January | February | |
February | April | |
March | May | |
April | June | |
May | November | |
June | December | |
July | June | |
August | December | |
September | ||
October | ||
November | ||
December |
what i need find data which is missing in table 2 with reference to table1
New Column |
January |
March |
July |
August |
September |
October |
Best regards,
NICK
Solved! Go to Solution.
@Naveennegi119 Please try “Merge Queries” option in “Power Query Editor” using appropriate Join as required.
Let me know if you need more detailed.
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Hi,
This is the Ma Query i used
let
Source = Table.NestedJoin(All_months,{"All"},criteria_months,{"Months"},"criteria_months",JoinKind.LeftOuter),
#"Expanded criteria_months" = Table.ExpandTableColumn(Source, "criteria_months", {"Months"}, {"Months"}),
#"Filtered Rows" = Table.SelectRows(#"Expanded criteria_months", each ([Months] = null)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Months"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"All", "Months"}})
in
#"Renamed Columns"
Hope this heps.
Hi , as someone mentioned previously, please use Edit Queries and Merge Queries
Proud to be a Super User!
Hi,
You can achieve the result in two ways.
Method 1: Merge Queries as New
let Source = Table.NestedJoin(Table1,{"Column A"},Table2,{"Column B"},"Table2",JoinKind.LeftAnti) in Source
Method 2: Have Fun with DAX
Create a calculated table using the following expression
Table3 = NATURALLEFTOUTERJOIN(Table1,Table2)
Then filter the calculated table using the following expression
FILTER(Table3,ISBLANK(Table3[Column B]))
Thanks
Hi @Naveennegi119,
Here we can create a calculated table using the formula.
Table = CALCULATETABLE ( Table1, FILTER ( Table1, LOOKUPVALUE ( Table2[Column B], Table2[Column B], Table1[ColumnA] ) = BLANK () ) )
For more details, please check the pbix as attached.
Regards,
Frank
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