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im_92's avatar
im_92
Frequent Visitor
6 years ago
Solved

filter within subject range

Hi community! 

 

I have the following table: 

 

subject numberquartilesymptom improvement
1Q1no
2Q1no
3Q1no
4Q1yes
1Q2no
2Q2yes
3Q2no
4Q2yes

 

Now I would like to visualise the number of subjects that did not have symptoms improvement in Q1 (which would be 3 in this example; subject 1,2,3), and how many of these do have symptom improvement in Q2 (which would be 1 in this example; subject 2). What's the best approach to do this? 

 

thanks! 

Need Help
  • v-zhenbw-msft's avatar
    v-zhenbw-msft
    6 years ago

    Hi im_92 ,

     

    We can create two measures to meet your requirement.

     

    Q1 no = 
CALCULATE(COUNT('Table'[symptom improvement]),FILTER('Table','Table'[quartile] = "Q1" && 'Table'[symptom improvement] = "no"))

     

    Q2 improvement = 
var _Q2_no = 
CALCULATE(COUNT('Table'[symptom improvement]),FILTER('Table','Table'[quartile] = "Q2" && 'Table'[symptom improvement] = "no"))
return
[Q1 no] - _Q2_no

     

     

    If it doesn’t meet your requirement, could you please show the exact expected result based on the table that you have shared?

    BTW, pbix as attached.

     

    Best regards,

     

    Community Support Team _ zhenbw

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

3 Replies

  • az38's avatar
    az38
    Community Champion
    6 years ago

    Hi im_92 

    try a measure

    Measure = 
var _q2 = SELECTCOLUMNS(FILTER('Table', 'Table'[symptom improvement] = "no" && 'Table'[quartile] = "q1"), "subject", [subject number])
var _q1 = SELECTCOLUMNS(FILTER('Table', 'Table'[symptom improvement] = "yes" && 'Table'[quartile] = "q2"), "subject", [subject number])
RETURN
COUNTROWS(INTERSECT(_q1, _q2))
  • v-zhenbw-msft's avatar
    v-zhenbw-msft
    Community Support
    6 years ago

    Hi im_92 ,

     

    We can create two measures to meet your requirement.

     

    Q1 no = 
CALCULATE(COUNT('Table'[symptom improvement]),FILTER('Table','Table'[quartile] = "Q1" && 'Table'[symptom improvement] = "no"))

     

    Q2 improvement = 
var _Q2_no = 
CALCULATE(COUNT('Table'[symptom improvement]),FILTER('Table','Table'[quartile] = "Q2" && 'Table'[symptom improvement] = "no"))
return
[Q1 no] - _Q2_no

     

     

    If it doesn’t meet your requirement, could you please show the exact expected result based on the table that you have shared?

    BTW, pbix as attached.

     

    Best regards,

     

    Community Support Team _ zhenbw

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

  • v-zhenbw-msft's avatar
    v-zhenbw-msft
    Community Support
    6 years ago

    Hi im_92 ,

     

    How about the result after you follow the suggestions mentioned in my original post?
    Could you please provide more details or expected result about it If it doesn't meet your requirement?

     

    Best regards,

     

    Community Support Team _ zhenbw

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.