Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi Experts
Based on the sample data below.
| crm_call_name | Date | day_name_short | week_start_date | week_end_date | month_desc_short | activity_type_1 | product_name_ | data_value |
| C027449642 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027449644 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027449744 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027475422 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027449645 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027475423 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027449641 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027449640 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027449741 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Apples | 1 |
| C027449646 | 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Trelegy | 1 |
| C027475443 | 24-Nov-22 | Thu | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Oranges | 1 |
| C027449751 | 24-Nov-22 | Thu | 21-Nov-22 | 27-Nov-22 | Nov | f2f | Oranges | 1 |
| 21-Nov-22 | Mon | 21-Nov-22 | 27-Nov-22 | Nov | customer_facing_day | 1 | ||
| 23-Nov-22 | Wed | 21-Nov-22 | 27-Nov-22 | Nov | customer_facing_day | 1 | ||
| 25-Nov-22 | Fri | 21-Nov-22 | 27-Nov-22 | Nov | customer_facing_day | 1 | ||
| 22-Nov-22 | Tue | 21-Nov-22 | 27-Nov-22 | Nov | customer_facing_day | 1 | ||
| 24-Nov-22 | Thu | 21-Nov-22 | 27-Nov-22 | Nov | customer_facing_day | 1 | ||
1. John has 5 cutsomer facing days
Measure
Solved! Go to Solution.
Hi, @Invesco ;
You could try this measure.
Weekly Rates =
Var Day_Count= CALCULATE(SUM(act_rates_activity_volume_and_cf_days[data_value]),FILTER(ALL(act_rates_activity_volume_and_cf_days),
act_rates_activity_volume_and_cf_days[activity_type_1] = "customer_facing_day"))
Var Activity_CT= CALCULATE(SUM(act_rates_activity_volume_and_cf_days[data_value]),
act_rates_activity_volume_and_cf_days[activity_type_1] = "f2f")
Return
Divide(Activity_CT,Day_Count,0)
The final show:
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @Invesco ;
You could try this measure.
Weekly Rates =
Var Day_Count= CALCULATE(SUM(act_rates_activity_volume_and_cf_days[data_value]),FILTER(ALL(act_rates_activity_volume_and_cf_days),
act_rates_activity_volume_and_cf_days[activity_type_1] = "customer_facing_day"))
Var Activity_CT= CALCULATE(SUM(act_rates_activity_volume_and_cf_days[data_value]),
act_rates_activity_volume_and_cf_days[activity_type_1] = "f2f")
Return
Divide(Activity_CT,Day_Count,0)
The final show:
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
The issue is when i filter by Product_name and any other column to get lower level result - it set the customer facing days value to zero....
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 143 | |
| 123 | |
| 102 | |
| 79 | |
| 54 |