Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
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 |
Solved! Go to Solution.
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-wi...
https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-tr...
https://community.powerbi.com/t5/Community-Blog/Power-BI-Working-with-Non-Standard-Time-Periods/ba-p...
https://community.powerbi.com/t5/Community-Blog/Comparing-Data-Across-Date-Ranges/ba-p/823601
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-wi...
https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-tr...
https://community.powerbi.com/t5/Community-Blog/Power-BI-Working-with-Non-Standard-Time-Periods/ba-p...
https://community.powerbi.com/t5/Community-Blog/Comparing-Data-Across-Date-Ranges/ba-p/823601
@amitchandak 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:
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
108 | |
100 | |
78 | |
64 | |
58 |
User | Count |
---|---|
148 | |
111 | |
94 | |
84 | |
67 |