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Hi All,
I have two tables which are related by CurveId. I want to calculate how many of the rows whose Score in Table 1 fall in between "From and To" in Table 2 and put the total count against each row under the TotalCount column.
As in the example below, there are 2 rows in Table 1 whose scores fall in between 4% and 10% in CurveId 1 in Table 2, and there are 3 rows in Table 1 whose scores fall in between 10% and 20% in CurveId 1 Table 2.
Table 1 | |||
TransactionId | CurveId | Score | TotalCount |
1000 | 1 | 2.00% | 1 |
1000 | 1 | 7.00% | 2 |
1000 | 1 | 8.00% | 2 |
1000 | 1 | 15.00% | 3 |
1000 | 1 | 16.00% | 3 |
1000 | 1 | 20.00% | 3 |
Table 2 | ||
CurveId | From | To |
1 | 0% | 4% |
1 | 4% | 10% |
1 | 10% | 20% |
2 | 0% | 8% |
2 | 8% | 15% |
2 | 15% | 20% |
2 | 20% | 25% |
I have tried the expression below but it just returns 1 against each row.
CALCULATE(
COUNT(Table1[TransactionId]),
FILTER(Table2, Table1[Score]>=Table2[From]&&Table1[Score]<=Table2[To])
)
Any help will be greatly appreciated.
Thank you.
Solved! Go to Solution.
Hi @theblueslover ,
You could try this measure.
Count =
CALCULATE (
COUNT ( 'Table'[CurveId] ),
FILTER (
'Table',
[Score] <= MAX ( 'Table (2)'[To] )
&& [Score] > MAX ( 'Table (2)'[From] )
&& [CurveId] = MAX ( 'Table (2)'[CurveId] )
)
)
You can check more details from here.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @theblueslover ,
Could you tell me if your problem has been solved?
If it is, kindly Accept it as the solution. More people will benefit from it.
Or you are still confused about it, please provide me with more details about your table and your problem or share me with your pbix file from your Onedrive for Business.
Best Regards,
Stephen Tao
Hi Stephen,
Thank you so much for your reply. what I would like to achieve is to add this as a column in Table 1 where we can see the transactions. So following from the same example, TotalCount column is a calculated column and we can see the total number against each line item.
Table 1 | |||
TransactionId | CurveId | Score | TotalCount |
1000 | 1 | 2.00% | 1 |
1000 | 1 | 7.00% | 2 |
1000 | 1 | 8.00% | 2 |
1000 | 1 | 15.00% | 3 |
1000 | 1 | 16.00% | 3 |
1000 | 1 | 20.00% | 3 |
Kind regards,
Hi @theblueslover ,
You could try this measure.
Count =
CALCULATE (
COUNT ( 'Table'[CurveId] ),
FILTER (
'Table',
[Score] <= MAX ( 'Table (2)'[To] )
&& [Score] > MAX ( 'Table (2)'[From] )
&& [CurveId] = MAX ( 'Table (2)'[CurveId] )
)
)
You can check more details from here.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@theblueslover Sounds like you want to do an approximate lookup - see if this post helps https://excelwithallison.blogspot.com/2020/06/dax-approximate-lookup.html
Copying DAX from this post? Click here for a hack to quickly replace it with your own table names
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I work as a Microsoft trainer and consultant, specialising in Power BI and Power Query.
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