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samihuq
Helper III
Helper III

Approximate Match for Date

Hi,

I have got two tables.

 

Table A:

 

Date Qty Rate
1-Jan-18 89 10
2-Jan-18 81 10
3-Jan-18 30 10
4-Jan-18 45 10
5-Jan-18 50 10
6-Jan-18 20 10
7-Jan-18 84 10
8-Jan-18 26 20
9-Jan-18 54 20
10-Jan-18 13 20
11-Jan-18 83 20
12-Jan-18 40 20
13-Jan-18 51 20
14-Jan-18 26 15
15-Jan-18 33 15
16-Jan-18 60 15
17-Jan-18 93 15
 

 

Table B:

 

Date Rate
1-Jan-18 10
8-Jan-18 20
14-Jan-18 15

 

Now I need to do an approximate match on Table B to get for column Rate in Table A. Can you please help me with the Dax formula?

 

Thanks,

Sami

1 ACCEPTED SOLUTION

Hi,

Actually Found the solution by ourselves>

 

Had to do two columns to achieve this, first find the approximate date [kind of vlookup true] and then find the corrosponding rate [kindof vlookup false]

 

Date 2 = CALCULATE(LASTNONBLANK(Rate[Date].[Date],1),FILTER(Rate,Rate[Date].[Date]<=Data[Date].[Date]))

 

and 

Rate = CALCULATE(SUM(Rate[Rate]),FILTER(Rate,Rate[Date].[Date]=Data[Date 2].[Date]))

 

Thanks,

Sami

View solution in original post

2 REPLIES 2
v-yulgu-msft
Employee
Employee

Hi @samihuq,

 

Do you want to compare the rate on the same day in TableA and TableB to check if they are matched? If so, you could use LOOKUPVALUE function to refer to 'TableA'[Rate] column in TableB.

 

New Column =
IF (
    TableB[Rate] = LOOKUPVALUE ( TableA[Rate], TableA[Date], TableB[Date] ),
    "Matched",
    "Not Matched"
)


Best regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Hi,

Actually Found the solution by ourselves>

 

Had to do two columns to achieve this, first find the approximate date [kind of vlookup true] and then find the corrosponding rate [kindof vlookup false]

 

Date 2 = CALCULATE(LASTNONBLANK(Rate[Date].[Date],1),FILTER(Rate,Rate[Date].[Date]<=Data[Date].[Date]))

 

and 

Rate = CALCULATE(SUM(Rate[Rate]),FILTER(Rate,Rate[Date].[Date]=Data[Date 2].[Date]))

 

Thanks,

Sami

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