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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
Naveennegi119 Please try “Merge Queries” option in “Power Query Editor” using appropriate Join as required.
Let me know if you need more detailed.
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.
- Anonymous7 years ago
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 SourceMethod 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
10 Replies
- AnonymousNot applicable
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 SourceMethod 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
- Naveennegi119Helper III
- Naveennegi119Helper III
- PattemManoharCommunity Champion
Naveennegi119 Please try “Merge Queries” option in “Power Query Editor” using appropriate Join as required.
Let me know if you need more detailed.
- Ashish_MathurSuper User
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.
- ryan_mayuSuper User
- v-frfei-msftCommunity Support
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
- Naveennegi119Helper III
Hi all,
v-frfei-msftAnonymousryan_mayuAshish_MathurPattemManohar
Thank u for giving your time. yesterday i can't reply because of illness.
all the solution i will try,
and again thnx. for help.
Best regards,
NICK
- Naveennegi119Helper III
Hi all,
apology for my side. i sent you data of one table with one column
but my table have more column in table and the reference you give me to achieve my problem is fine when table have one column.
i know about merge query but i want to this with dax of(Measure,column or table).
Thanx. in advance
Best regards,
NICK
- Naveennegi119Helper III