Get certified in Microsoft Fabric—for free! For a limited time, the Microsoft Fabric Community team will be offering free DP-600 exam vouchers. Prepare now
Hello
I have the data:
A | 1 | 01/01/2020 |
B | 2 | 02/01/2020 |
C | 3 | 03/02/2020 |
E | 4 | 04/02/2020 |
D | 5 | 05/03/2020 |
D | 6 | 06/03/2020 |
How can I calculate the distinct number of Col1, where Col2 is >2 and group the results by month?
So the result should be:
Jan=0
Feb=2
Mar=1
Thanks!
Solved! Go to Solution.
Hi @UsePowerBI ,
Here are the steps you can follow:
1. Create calculated column.
Month = MONTH('Table'[Date])
Month_mmm = FORMAT([Date],"mmm")
2. Create measure.
Measure =
var _2=CALCULATE(DISTINCTCOUNT('Table'[Column1]),FILTER('Table','Table'[Column2]>2&&'Table'[Month]=MAX('Table'[Month])))
return IF(_2=BLANK(),0,_2)
3. Result.
You can downloaded PBIX file from here.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @UsePowerBI ,
Here are the steps you can follow:
1. Create calculated column.
Month = MONTH('Table'[Date])
Month_mmm = FORMAT([Date],"mmm")
2. Create measure.
Measure =
var _2=CALCULATE(DISTINCTCOUNT('Table'[Column1]),FILTER('Table','Table'[Column2]>2&&'Table'[Month]=MAX('Table'[Month])))
return IF(_2=BLANK(),0,_2)
3. Result.
You can downloaded PBIX file from here.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
you can create a column
month = FORMAT('Table'[Column3],"mmm")
then create a measure
Measure = CALCULATE(DISTINCTCOUNT('Table'[Column1]),FILTER('Table','Table'[Column2]>2))+0
Proud to be a Super User!
@UsePowerBI , Create a measure like this
calculate(distinctcount(Table[col1]), filter(Table, Table[col2] >2))+0
Check out the October 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
115 | |
112 | |
105 | |
95 | |
58 |
User | Count |
---|---|
174 | |
147 | |
136 | |
102 | |
82 |