Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Hello. I'm trying to make a tricky powerbi dax measure and I'm a bit lost right know because it's been 2 days i'm struggling on this.
I have the following data model in my db:
| task_id | agent_id | imputation_date | exceeding_date | value_before_exceeding | value_after_exceeding |
| id_1 | 592 | 2020-12-17 | 32.63235 | 23.30882 | |
| id_1 | 592 | 2021-01-20 | 32.63235 | 23.30882 | |
| id_1 | 592 | 2021-02-03 | 32.63235 | 23.30882 | |
| id_1 | 592 | 2021-02-08 | 32.63235 | 23.30882 | |
| id_1 | 362 | 2021-03-12 | 130.52941 | 93.23529 | |
| id_1 | 362 | 2021-04-12 | 2021-04-12 | 559.41177 | |
| id_1 | 649 | 2021-04-12 | 2021-04-12 | 559.41177 |
In my powerbi dashboard, i'm trying to display this data in a table with a date slicer (based on imputation_date) and following these conditions:
I create a table based on min and max imputation_date:
calendar_imputation = CALENDAR(MIN(valo_fact_imputation[date_imputation]), MAX(valo_fact_imputation[date_imputation]))
My test visual look like this:
(visual 1)
(visual 2)
I have mesaures for min and max slicer date:
min_slicer_date = CALCULATE(FIRSTDATE(calendar_imputation[Date]))max_slicer_date = CALCULATE(LASTDATE(calendar_imputation[Date]))
And so far my measure to calculate date looks like this:
sales =
VAR grouped_by_filter_date =
SUMMARIZE(
FILTER(valo_fact_imputation,
valo_fact_imputation[date_imputation] >= [min_slicer_date] && valo_fact_imputation[date_imputation] <= [max_slicer_date]
),
valo_fact_imputation[task_id],
valo_fact_imputation[agent],
"exceeding", CALCULATE(LASTDATE(valo_fact_imputation[exceeding_date]), ALLEXCEPT(valo_fact_imputation, valo_fact_imputation[task_id], valo_fact_imputation[agent]))
)
return CALCULATE(
IF(
COUNTAX(grouped_by_filter_date, [exceeding]) > 0,
SUMX(
SUMMARIZE(
grouped_by_filter_date,
valo_fact_imputation[task_id],
valo_fact_imputation[agent],
"sum_valo_imput", CALCULATE(SUM(valo_fact_imputation[value_after_exceeding]))),
[sum_valo_imput]
),
SUMX(
SUMMARIZE(
grouped_by_filter_date,
valo_fact_imputation[task_id],
valo_fact_imputation[agent],
"sum_valo_imput", CALCULATE(SUM(valo_fact_imputation[value_before_exceeding]))),
[sum_valo_imput]
)
)
)
My problem is that on visual 1, the sum is made on valo_afeter_exceeding even if it looks like there is no value my "exceeding" column from my SUMMARIZE method.
Any help appreciated and don't hesitate to ask for more infos.
Solved! Go to Solution.
I managed to do what I wanted, here the final measure for those who might be interested:
ca_reel_agent_v2 =
VAR grouped_by_filter_date =
SUMMARIZE(
FILTER(fact_valo_imputation,
fact_valo_imputation[date_imputation] >= [min_slicer_date] && fact_valo_imputation[date_imputation] <= [max_slicer_date]
),
fact_valo_imputation[task_id],
fact_valo_imputation[agent],
"min_imputation", CALCULATE(MIN(fact_valo_imputation[date_imputation]), ALLEXCEPT(fact_valo_imputation, fact_valo_imputation[task_id], fact_valo_imputation[agent])),
"max_imputation", CALCULATE(MAX(fact_valo_imputation[date_imputation]), ALLEXCEPT(fact_valo_imputation, fact_valo_imputation[task_id], fact_valo_imputation[agent])),
"exceeding", CALCULATE(FIRSTDATE(fact_valo_imputation[exceeding_date]), ALLEXCEPT(fact_valo_imputation, fact_valo_imputation[task_id]))
)
return CALCULATE(
IF(
COUNTAX(FILTER(grouped_by_filter_date, [exceeding] >= [min_slicer_date] && [exceeding] <= [max_slicer_date]), [exceeding]) > 0,
SUMX(
SUMMARIZE(
grouped_by_filter_date,
"sum_valo_imput", CALCULATE(SUM(fact_valo_imputation[value_after_exceeding]))),
[sum_valo_imput]
),
SUMX(
SUMMARIZE(
grouped_by_filter_date,
"sum_valo_imput", CALCULATE(SUM(fact_valo_imputation[value_before_exceeding]))),
[sum_valo_imput]
)
)
)
Thanks @lbendlin for your time on the topic.
I managed to do what I wanted, here the final measure for those who might be interested:
ca_reel_agent_v2 =
VAR grouped_by_filter_date =
SUMMARIZE(
FILTER(fact_valo_imputation,
fact_valo_imputation[date_imputation] >= [min_slicer_date] && fact_valo_imputation[date_imputation] <= [max_slicer_date]
),
fact_valo_imputation[task_id],
fact_valo_imputation[agent],
"min_imputation", CALCULATE(MIN(fact_valo_imputation[date_imputation]), ALLEXCEPT(fact_valo_imputation, fact_valo_imputation[task_id], fact_valo_imputation[agent])),
"max_imputation", CALCULATE(MAX(fact_valo_imputation[date_imputation]), ALLEXCEPT(fact_valo_imputation, fact_valo_imputation[task_id], fact_valo_imputation[agent])),
"exceeding", CALCULATE(FIRSTDATE(fact_valo_imputation[exceeding_date]), ALLEXCEPT(fact_valo_imputation, fact_valo_imputation[task_id]))
)
return CALCULATE(
IF(
COUNTAX(FILTER(grouped_by_filter_date, [exceeding] >= [min_slicer_date] && [exceeding] <= [max_slicer_date]), [exceeding]) > 0,
SUMX(
SUMMARIZE(
grouped_by_filter_date,
"sum_valo_imput", CALCULATE(SUM(fact_valo_imputation[value_after_exceeding]))),
[sum_valo_imput]
),
SUMX(
SUMMARIZE(
grouped_by_filter_date,
"sum_valo_imput", CALCULATE(SUM(fact_valo_imputation[value_before_exceeding]))),
[sum_valo_imput]
)
)
)
Thanks @lbendlin for your time on the topic.
If my maximum date range is above exceeding_date: i want to display the sum (for each group of agent and task) of value_after_exceeding
please describe what should happen when the exceeding_date is empty.
Do you want to display the result by agent?
When exceeding_date is empty, the task is not considered as late so yes, it should display the sum of value_before_exceeding for each agent.
In the example dataset, I didn't fill the row of exceeding_date column with null value but it appears like this in db.
For a bit of context, each row correspond to allocation with amount of duration (i didn't put the column in dataset) and when the cumulative sum of allocation exceed task time estimation, i start to fill the column exceeding_date.
I hope my explanations are clear.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 52 | |
| 21 | |
| 11 | |
| 11 | |
| 10 |