Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello
I have data fields like:
Gender, Height, Weight, Disease
with values like:
M/F, 110-220cm, 40-250kg, Y/N
How can I identify distinct groups of the above and their probability to have Disease=Y/N, i.e. perform clustering?
I am looking to identify any possible combinations e.g. Weight=120-150kg and Gender=F and Height=150-160cm, can have 80% probability for Disease=Y etc, in addition to single variables i.e. Gender=F alone having 20% probability of Disease=Y.
Also, being able to choose multiple outputs would also be good and of course various types of variables/outputs i.e. numerical, binary, independent or not etc.
Thanks!
Thanks all but I am talking about the statistical machine learning modelling called clustering rather than simply grouping.
Hi @Anonymous ,
You could create measure like the below :
test = CALCULATE(COUNTROWS('Table'),ALLSELECTED('Table'),'Table'[Disease]="Y")
Then create visual :
You can choose the range you want to get the results you want by adjusting according to the slicer.
Did I answer your question? Mark my post as a solution!
Best Regards
Lucien
Ben's blog has a piece on clustering:
Clustering in Power BI using R - Ben's Blog (datakuity.com)
Proud to be a Super User!
@Anonymous , if all these are columns in same table, you can switch true() and create a new column
Swich( True() ,
[Weight]="120-150kg" && [Gender]="F" && [Height]="150-160cm" , "Y"
//Or you can >= and <= [Height]>=150 && [Height] <=160
// Add others ,
"N") //else value
@Anonymous , if all these are columns in same table, you can switch true() and create a new column
Swich( True() ,
[Weight]="120-150kg" && [Gender]="F" && [Height]="150-160cm" , "Y"
//Or you can >= and <= [Height]>=150 && [Height] <=160
// Add others ,
"N") //else value
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 59 | |
| 43 | |
| 42 | |
| 23 | |
| 17 |
| User | Count |
|---|---|
| 190 | |
| 122 | |
| 96 | |
| 66 | |
| 47 |