Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hello experts,
I have below 2 tables, MasterData and EmployeeData and at the bottom 3 I have the expected results. I managed to filter the data accordingly by lookup the Monthly Details from MasterData using below column.
However I couldn't get the total displayed in card and also in the table. The total need to be filtered by Team and MonthYear. Can you help me please? Thank you.
MasterData
Country | Team | Monthly Hours | Start Year | End Year |
MY | Team A | 148.00 | 01/01/2022 | 31/12/2022 |
TH | Team A | 147.50 | 01/01/2022 | 31/12/2022 |
SG | Team A | 146.50 | 01/01/2022 | 31/12/2022 |
MY | Team B | 148.00 | 01/01/2022 | 31/12/2022 |
UK | Team B | 145.00 | 01/01/2022 | 31/12/2022 |
MY | Team A | 146.00 | 01/01/2023 | 31/12/2023 |
TH | Team A | 145.00 | 01/01/2023 | 31/12/2023 |
SG | Team A | 144.00 | 01/01/2023 | 31/12/2023 |
UK | Team B | 145.00 | 01/01/2023 | 31/12/2023 |
MY | Team B | 146.00 | 01/01/2023 | 31/12/2023 |
EmployeeData
Country | Team | Employee | Monthly Hours | Joined | Exit |
MY | Team A | Siti | 148.00 | 01/01/2000 | 31/12/2022 |
TH | Team A | Kunthai | 147.50 | 01/01/2000 | |
SG | Team A | Richard | 146.50 | 01/01/2000 | |
MY | Team B | Abu | 148.00 | 01/01/2000 | 31/05/2022 |
UK | Team B | Steve | 145.00 | 01/06/2022 | |
UK | Team B | Sarah | 145.00 | 20/06/2022 |
EXPECTED RESULT - Filter by May 2022
Country | Team | Employee | Monthly Hours | Joined | Exit | Total |
MY | Team A | Siti | 148.00 | 01/01/2000 | 31/12/2022 | 442.00 |
TH | Team A | Kunthai | 147.50 | 01/01/2000 | ||
SG | Team A | Richard | 146.50 | 01/01/2000 |
Filter by June 2022
Country | Team | Employee | Monthly Hours | Joined | Exit | Total |
MY | Team A | Siti | 148.00 | 01/01/2000 | 31/12/2022 | 442.00 |
TH | Team A | Kunthai | 147.50 | 01/01/2000 | ||
SG | Team A | Richard | 146.50 | 01/01/2000 | ||
UK | Team B | Steve | 145.00 | 01/06/2022 | 290.00 | |
UK | Team B | Sarah | 145.00 | 20/06/2022 |
Filter by Jan 2023
Country | Team | Employee | Monthly Hours | Joined | Exit | Total |
TH | Team A | Kunthai | 147.50 | 01/01/2000 | 294.00 | |
SG | Team A | Richard | 146.50 | 01/01/2000 | ||
UK | Team B | Steve | 145.00 | 01/06/2022 | 290.00 | |
UK | Team B | Sarah | 145.00 | 20/06/2022 |
Solved! Go to Solution.
For your question about not being able to calculate the total, please try the following:
Create a measure. Group by the fields you need and sum. Such as:
Measure =
CALCULATE(
SUM(EmployeeData[Monthly Hours]),
FILTER(
ALL('EmployeeData'),
'EmployeeData'[Team] = MAX('EmployeeData'[Team])
)
)
Here is the result.
Regards,
Nono Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
For your question about not being able to calculate the total, please try the following:
Create a measure. Group by the fields you need and sum. Such as:
Measure =
CALCULATE(
SUM(EmployeeData[Monthly Hours]),
FILTER(
ALL('EmployeeData'),
'EmployeeData'[Team] = MAX('EmployeeData'[Team])
)
)
Here is the result.
Regards,
Nono Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
User | Count |
---|---|
25 | |
12 | |
8 | |
7 | |
7 |
User | Count |
---|---|
25 | |
12 | |
11 | |
10 | |
6 |