Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreGet certified in Microsoft Fabric—for free! For a limited time, get a free DP-600 exam voucher to use by the end of 2024. Register now
Hi all
I have some DATA where I need to calculate a Hit Rate using distinct values.
Can you help based on below where I shared how the data looks and what I need (Hit Rate)?
DATA | RESULT | |||||
Client | Master No_ | Project Code Group | Client | Discount count of Master No_ | Hit Rate (SUM of DISTINCT COUNT of BULK ORDER/SUM OF DISTINCT COUNT) | |
JK | 100005 | BULK ORDER | JK | 2 | 3 / 4 = 75% | |
JK | 100005 | BULK ORDER | PO | 2 | 1 / 2 = 50% | |
JK | 100005 | BULK ORDER | ||||
JK | 100099 | BULK FORECAST | ||||
PO | 100006 | BULK ORDER | ||||
PO | 100007 | BULK FORECAST |
Solved! Go to Solution.
Hey @KasperJ90 ,
try the following mesaure:
Distinct Master_No =
VAR vMasterNo = MAX( myTable[Master No_] )
VAR vProjectCodeGroup = MAX( myTable[Project Code Group] )
VAR vMasterNoRows = CALCULATE( COUNTROWS(myTable), myTable[Master No_] = vMasterNo )
VAR vProjectCodeGroupRows = CALCULATE( COUNTROWS(myTable), myTable[Project Code Group] = vProjectCodeGroup )
RETURN
DIVIDE(vProjectCodeGroup , vProjectCodeGroupRows)
Hi, @KasperJ90
According to your description and sample data, I can clearly understand your requirement, you can try these two measures to achieve this:
Discount count of Master No_ =
CALCULATE(DISTINCTCOUNT('Table'[Master No_]),FILTER(ALL('Table'),[Client]=MAX('Table'[Client])))
Hit Rate =
var _sumofdistinct=COUNTX(FILTER(ALL('Table'),[Client]=MAX('Table'[Client])&&[Project Code Group]="BULK ORDER"),[Client])
var _sum=COUNTX(FILTER(ALL('Table'),[Client]=MAX('Table'[Client])),[Client])
return
DIVIDE(_sumofdistinct,_sum)
Then you can create a table chart to place it like this:
And you can get what you want.
You can download my test pbix file below
Thank you very much!
Best Regards,
Community Support Team _Robert Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @KasperJ90
According to your description and sample data, I can clearly understand your requirement, you can try these two measures to achieve this:
Discount count of Master No_ =
CALCULATE(DISTINCTCOUNT('Table'[Master No_]),FILTER(ALL('Table'),[Client]=MAX('Table'[Client])))
Hit Rate =
var _sumofdistinct=COUNTX(FILTER(ALL('Table'),[Client]=MAX('Table'[Client])&&[Project Code Group]="BULK ORDER"),[Client])
var _sum=COUNTX(FILTER(ALL('Table'),[Client]=MAX('Table'[Client])),[Client])
return
DIVIDE(_sumofdistinct,_sum)
Then you can create a table chart to place it like this:
And you can get what you want.
You can download my test pbix file below
Thank you very much!
Best Regards,
Community Support Team _Robert Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hey @KasperJ90 ,
try the following mesaure:
Distinct Master_No =
VAR vMasterNo = MAX( myTable[Master No_] )
VAR vProjectCodeGroup = MAX( myTable[Project Code Group] )
VAR vMasterNoRows = CALCULATE( COUNTROWS(myTable), myTable[Master No_] = vMasterNo )
VAR vProjectCodeGroupRows = CALCULATE( COUNTROWS(myTable), myTable[Project Code Group] = vProjectCodeGroup )
RETURN
DIVIDE(vProjectCodeGroup , vProjectCodeGroupRows)
Starting December 3, join live sessions with database experts and the Fabric product team to learn just how easy it is to get started.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early Bird pricing ends December 9th.
User | Count |
---|---|
94 | |
84 | |
84 | |
73 | |
49 |
User | Count |
---|---|
143 | |
132 | |
110 | |
65 | |
55 |