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Saranya1
Partner - Contributor
Partner - Contributor

Qlikview set analysis

How we can count common records if we filter out two  values in a field?

For e.g i am calculating count(<{category={'a'}>number)

count(<{category={'b'}>number)

now if I want to have the count of  number that belongs to both a and b categories what will be the logic that involves some 'AND' condition or common count that belongs to both categories?

I Tried below 

count(<{category={'a'},{'b'}>number) but it works like OR logic  whereas I want only common records

Labels (2)
1 Solution

Accepted Solutions
jwjackso
Specialist III
Specialist III

Using the data below:

Data:
Load * Inline [
dept,category,number
d1,a,100
d1,b,200
d2,b,200
d2,c,200
];

I added a third field, dept. 

 

Try using the P() function

=sum({<dept=P({<category={'a'}>}dept)*P({<category={'b'}>}dept)>}number)

 

p_function.PNG

View solution in original post

4 Replies
jwjackso
Specialist III
Specialist III

Using the data below:

Data:
Load * Inline [
dept,category,number
d1,a,100
d1,b,200
d2,b,200
d2,c,200
];

I added a third field, dept. 

 

Try using the P() function

=sum({<dept=P({<category={'a'}>}dept)*P({<category={'b'}>}dept)>}number)

 

p_function.PNG

Oleg_Troyansky
Partner Ambassador/MVP
Partner Ambassador/MVP

Hi,

You can use the function P(), as suggested before, or you can apply Boolean intersection to two Set Identifiers, each one with its own Set Modifier, like this:

count(<{category={'a'}> * <{category={'b'}> number) 

Also, I'd like to invite you to my lecture on Set Analysis and AGGR, that I will be delivering on-line on November 18th. You will learn many valuable techniques that can be used for advanced analytics, using AGGR and Set Analysis. Check out the link to the Masters Summit for Qlik in my signature below.

Saranya1
Partner - Contributor
Partner - Contributor
Author

Hey Thanks a lot 🙂 This actually worked and it fixed my issue 🙂

Saranya1
Partner - Contributor
Partner - Contributor
Author

I tried the intersection logic but it did not  work in my case since I have multiple filters I guess...

And yes function P() worked !