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.
Hello need refresher in coming up with this simple countrow measure.
Table 1 | Table 2 | |||
Site ID | Site ID | Category | ||
A | A | Building | ||
B | A | Passive | ||
C | B | Passive | ||
D | D | Building |
I need to countrows table1 re how many sites that have only passive category in table 2. In the example above, i should get 1 site which Site ID B. appreciate if you can help me on this
Solved! Go to Solution.
Try this measure
Measure_ =
VAR auxT_ =
CALCULATETABLE ( DISTINCT ( Table2[SiteID] ), Table2[Category] = "Passive" )
RETURN
COUNTROWS (
FILTER ( auxT_, CALCULATE ( DISTINCTCOUNT ( Table2[Category] ) ) = 1 )
)
|
Please accept the solution when done and consider giving a thumbs up if posts are helpful. Contact me privately for support with any larger-scale BI needs, tutoring, etc. |
Try this measure
Measure_ =
VAR auxT_ =
CALCULATETABLE ( DISTINCT ( Table2[SiteID] ), Table2[Category] = "Passive" )
RETURN
COUNTROWS (
FILTER ( auxT_, CALCULATE ( DISTINCTCOUNT ( Table2[Category] ) ) = 1 )
)
|
Please accept the solution when done and consider giving a thumbs up if posts are helpful. Contact me privately for support with any larger-scale BI needs, tutoring, etc. |
Thank you this is great just to confirm my understanding of the code. you first created a variable table just to identify which sites have "passive" category. then you iterate with said variable table using filter, to check which of this sites have 1 distinct category which should be passive.
Exactly. Good summary
|
Please accept the solution when done and consider giving a thumbs up if posts are helpful. Contact me privately for support with any larger-scale BI needs, tutoring, etc. |
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 |
---|---|
47 | |
24 | |
20 | |
15 | |
12 |
User | Count |
---|---|
55 | |
48 | |
43 | |
19 | |
18 |