Condition Help

[AkashDesai]

I have a table shown below. What I want to do is sum the "Piece Count" column values only if values in "Tag No" column are equal.
Afterwards, I want to distinct count number of  Tag No (Rows) where Std Pc Count and Piece Count are not equal. Please help.

[dharmendars007 · Accepted solution]

Hello @AkashDesai , 

You can create a calculated column to sum the "Piece Count" where the "Tag No" is the same.

TotalPieceCountByTagNo =
CALCULATE(
SUM(TableName[Piece Count]),ALLEXCEPT(TableName, TableName[Tag No]))

Next, you can create a measure to count distinct "Tag No" where the total "Piece Count" differs from the "Std Pc Count".

This measure filters the rows where the total piece count for a "Tag No" does not match the "Std Pc Count" and then performs a distinct count of those "Tag No" values

DistinctCountOfTagNo =
CALCULATE(
DISTINCTCOUNT(TableName[Tag No]),
FILTER(
TableName,TableName[TotalPieceCountByTagNo] <> TableName[Std Pc Count]))

If you find this helpful , please mark it as solution which will be helpful for others and Your Kudos/Likes 👍 are much appreciated!

Thank You

Dharmendar S

LinkedIN 

[AkashDesai]

Dharmendra, thanks for your help. Your answer helped me to get better at syntax and solved my problem partially. Although I have one more catch which I came across just now. See the following example where I have same tag no being duplicated twice. So, before I use your first measure, I need to get rid of this duplication in such a way that I still count it once. How will that be possible? In this case, piece count is matching with std pc count so it's a right entry but need to consider it only once.

[lbendlin]

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