Forum Discussion
How to count values that satisfy multiple conditions in two columns
I am having trouble coming up with a measure to count the number of students who have attended a set of subjects in the below data table. For example, if I wanted to count the number of students who have attended all four subjects, I would want the measure to output only Charles, as he is the only student has met this criteria. I came up with the following:
Subject | Present | Student |
Physics | Yes | Charles |
Physics | Yes | Daryl |
Physics | Yes | John |
Physics | Yes | Jess |
Calculus | Yes | Daryl |
Calculus | Yes | Charles |
Calculus | Yes | Charles |
Calculus | Yes | Charles |
Calculus | Yes | Henry |
Calculus | Yes | Jess |
Calculus | Yes | Charles |
Calculus | Yes | Charles |
History | Yes | Lucas |
History | Yes | Charles |
History | Yes | Edgar |
History | Yes | Charles |
History | Yes | Charles |
History | Yes | Edgar |
History | Yes | Edgar |
History | Yes | Charles |
History | Yes | Tess |
Calculus | No | Charles |
History | No | Lucas |
History | No | Charles |
History | No | Edgar |
History | No | Charles |
History | No | Charles |
History | No | Edgar |
History | No | Edgar |
History | No | Charles |
History | No | Tess |
History | No | Edgar |
Writing | No | Daryl |
Writing | No | Edgar |
Writing | No | Tess |
Writing | No | Tess |
Writing | No | Edgar |
Writing | Yes | Tess |
Writing | Yes | Charles |
Writing | Yes | Edgar |
Writing | Yes | Edgar |
First you need group data at student level,
Try like
Total Student = sumx(filter(summarize(filter(table,present="Yes"), student, "_tSub",distinctcount(subject)),[_tSub]>=4),[_tSub])Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
Thanks. My Recent Blog -
https://community.powerbi.com/t5/Community-Blog/Winner-Topper-on-Map-How-to-Color-States-on-a-Map-with-Winners/ba-p/890814
https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-trend/ba-p/882970
https://community.powerbi.com/t5/Community-Blog/Power-BI-Working-with-Non-Standard-Time-Periods/ba-p/881739
https://community.powerbi.com/t5/Community-Blog/Comparing-Data-Across-Date-Ranges/ba-p/823601
2 Replies
- amitchandak
Super User
First you need group data at student level,
Try like
Total Student = sumx(filter(summarize(filter(table,present="Yes"), student, "_tSub",distinctcount(subject)),[_tSub]>=4),[_tSub])Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
Thanks. My Recent Blog -
https://community.powerbi.com/t5/Community-Blog/Winner-Topper-on-Map-How-to-Color-States-on-a-Map-with-Winners/ba-p/890814
https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-trend/ba-p/882970
https://community.powerbi.com/t5/Community-Blog/Power-BI-Working-with-Non-Standard-Time-Periods/ba-p/881739
https://community.powerbi.com/t5/Community-Blog/Comparing-Data-Across-Date-Ranges/ba-p/823601amitchandak Hello! I think I have a very similar problem, but I can't seem to get your solution to work, i must be missing something very obvious. I have basically the same data model
Chain Establishment Category Brand SKU Is the SKU present Chain1 POS1 Category1 Brand1 SKU Yes Chain1 POS1 Category1 Brand2 SKU Yes Chain1 POS1 Category2 Brand1 SKU No Chain1 POS1 Category2 Brand2 SKU Yes But I need is the % of POS that have at least one SKU present in each brand. If this was my complete dataset then, I would have 100% in Category 1 and 0% in category2. I tried the recommended way but doesn't show any results:
This is the Measure I'm using:
Portfolio Completion = SUMX(FILTER(SUMMARIZE(FILTER(Data,Is the SKU present="Yes"),Data[Brand],"_PC",DISTINCTCOUNT(Data[Brand])),[_PC]>3),[_PC])I choose >3 since I have three brands in this category, maybe that's the issue??I've been stuck for like a week trying to get this measure, if you can help me I would be so grateful.
