Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Good Morning
I need some help please with identifying where there is missing data in a table.
Example of the data is
| Learner | Applilcation | Course |
| 1 | 01/01/2022 | A1 |
| 1 | 01/01/2022 | B1 |
| 2 | 01/01/2022 | B1 |
| 3 | 01/01/2022 | A2 |
| 3 | 01/01/2022 | B2 |
All learners should have a course beginning with an A, i need to idenitfy from the data the ones that dont.
So in the example above it would identify learner 2.
The applications will differ from those in the table.
Thank you for your help.
Solved! Go to Solution.
Hi @Anonymous
Please try the following:
Base Table
Create a new Meausre
CourseWithA =
var var_numberOfCoursesWithA =
SUMX(
FactTable,
IF(LEFT(FactTable[Course],1) ="A",1,0)
)
RETURN
IF(var_numberOfCoursesWithA>0,1,0)
put learner and the measure into a visual
you can also use the measure as a filter
Best regards
Michael
-----------------------------------------------------
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your thumbs up!
@ me in replies or I'll lose your thread.
-----------------------------------------------------
Thank you
Hi @Anonymous
Please try the following:
Base Table
Create a new Meausre
CourseWithA =
var var_numberOfCoursesWithA =
SUMX(
FactTable,
IF(LEFT(FactTable[Course],1) ="A",1,0)
)
RETURN
IF(var_numberOfCoursesWithA>0,1,0)
put learner and the measure into a visual
you can also use the measure as a filter
Best regards
Michael
-----------------------------------------------------
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. Appreciate your thumbs up!
@ me in replies or I'll lose your thread.
-----------------------------------------------------
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 57 | |
| 37 | |
| 34 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 74 | |
| 70 | |
| 37 | |
| 35 | |
| 25 |