Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers. Get Fabric certified for FREE! Learn more
Hi Everyone. I have a task where I need to calculate week over week lease renewal comparions between two years and broken down by Regions.
In my Renewal Report table I have a column named "Signed Date" where I can see that if there's a date in that row it means that there was a renewal signed. The below DAX calculcates for year over year but not week over week. I created a Calendar table that contains "Date" "Month""WeekNo" and "Year". The Calendar table has a One to Many relationship with the Renewal Report table. can someone pleaseee help! Thank you
Renewals_Current_and_Previous_FY_Percentage =
VAR Renewals_Current_FY =
CALCULATE(
COUNTROWS('Renewal Report'),
FILTER(
'Renewal Report',
'Renewal Report'[FY] = 2024 && 'Renewal Report'[Signed Date] >= MIN('Calendar'[Date]) && 'Renewal Report'[Signed Date] <= MAX('Calendar'[Date])
)
)
VAR Renewals_Previous_FY =
CALCULATE(
COUNTROWS('Renewal Report'),
FILTER(
'Renewal Report',
'Renewal Report'[FY] = 2023 && 'Renewal Report'[Signed Date] >= MIN('Calendar'[Date]) && 'Renewal Report'[Signed Date] <= MAX('Calendar'[Date])
)
)
VAR Total_Renewals = Renewals_Current_FY + Renewals_Previous_FY
VAR Total_Entries = COUNTROWS('Renewal Report')
The excel table and the chart is what i need to recreate in Power BI. I created two measures in Power BI like this:
I need to show the %ofRenewals signed this week last year vs %of Renewals signed this week of current year. This is what the bar chart is showing for the central region
Fiscal Year | Renewals Signed Date | Regions (Central, West, East) |
2023 | 02/05/23 | Central |
2023 | 02/03/23 | Central |
2023 | 02/02/23 | Central |
2024 | 02/02/24 | Central |
2024 | 02/02/24 | Central |
2024 | 02/02/24 | Central |
2024 | 02/02/24 | Central |
Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
Do not include sensitive information or anything not related to the issue or question.
If you are unsure how to upload data please refer to https://community.fabric.microsoft.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-...
Please show the expected outcome based on the sample data you provided.
Want faster answers? https://community.fabric.microsoft.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447...
The columns in this table is what should be used to build the report. Basically in the first week of February 2023 (FY) we had 3 renewals signed vs the first week of February 2024 (FY) we have 4 renewals signed. I need to show week over week comparison between the two fiscal years. This data should be shown as a percentage and also I want to show the week over week percentage change between them.
Fiscal Year | Renewals Signed Date | Regions (Central, West, East) |
2023 | 02/05/23 | Central |
2023 | 02/03/23 | Central |
2023 | 02/02/23 | Central |
2024 | 02/02/24 | Central |
2024 | 02/02/24 | Central |
2024 | 02/02/24 | Central |
2024 | 02/02/24 | Central |
This is the outcome i need to show for all regions for week over week (2023 vs 2024)
please explain how you get the expected outcome from the sample data you posted.
I need to get a total count of signed renewals for FY23 and FY24 and then break it down by Region and then extract the Date from the Renewals Signed Date column. I then have to Divide the Renewals Signed for the week by the Total Count of Renewals Signed. I hope the data below clarifies your question:
FYI, "Advisors" is a region
second request: Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
Do not include sensitive information or anything not related to the issue or question.
If you are unsure how to upload data please refer to https://community.fabric.microsoft.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-...
Please show the expected outcome based on the sample data you provided.
Want faster answers? https://community.fabric.microsoft.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447...
FY23 | ||||||
Regions | Total Count | Signed YTD | % Signed | Last Week | % Signed Last Week | Change from Last Week |
Central | 729 | 321 | 44% | 264 | 36% | 8% |
West | 622 | 205 | 33% | 153 | 25% | 8% |
East | 644 | 258 | 40% | 180 | 28% | 12% |
BA | 185 | 51 | 28% | 38 | 21% | 7% |
TOTAL | 2180 | 835 | 38% | 635 | 29% | 9% |
FY24 | ||||||
Regions | Total Count | Signed YTD | % Signed | Last Week | % Signed Last Week | Change from Last Week |
Central | 617 | 284 | 46% | 236 | 38% | 8% |
West | 530 | 254 | 48% | 203 | 38% | 10% |
East | 591 | 276 | 47% | 245 | 41% | 5% |
BA | 137 | 63 | 46% | 44 | 32% | 14% |
TOTAL | 1875 | 877 | 47% | 728 | 39% | 8% |
Check out the April 2025 Power BI update to learn about new features.
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
User | Count |
---|---|
20 | |
14 | |
11 | |
10 | |
8 |
User | Count |
---|---|
21 | |
15 | |
9 | |
7 | |
6 |