Check your eligibility for this 50% exam voucher offer and join us for free live learning sessions to get prepared for Exam DP-700.
Get StartedDon't miss out! 2025 Microsoft Fabric Community Conference, March 31 - April 2, Las Vegas, Nevada. Use code MSCUST for a $150 discount. Prices go up February 11th. Register now.
Date of Action | Customer | Volume | Transaction | Assets |
13/01/2020 | Customer A | 44,499.2 | 1,148 | 60 |
5/06/2021 | Customer A | 145,243.4 | 508 | 106 |
26/06/2022 | Customer A | 758.7 | 15 | 2 |
28/11/2023 | Customer A | 1,669.1 | 29 | 8 |
25/07/2024 | Customer A | 15,330.9 | 287 | 51 |
5/03/2020 | Customer B | 2,186.1 | 16 | 1 |
26/08/2021 | Customer B | 631.6 | 16 | 4 |
15/08/2023 | Customer B | 220,562.9 | 854 | 63 |
23/05/2024 | Customer B | 26,053.9 | 103 | 29 |
5/04/2022 | Customer C | 1,423.1 | 32 | 12 |
31/03/2023 | Customer C | 62,440.1 | 214 | 58 |
4/08/2023 | Customer C | 2,245.7 | 17 | 1 |
6/03/2024 | Customer C | 42,202.8 | 58 | 12 |
This is a sample of my dataset that im putting into excel. Below is what the matrix table looks like on Power Bi
Is there a way to input columns next to "sum of assets", another next to "sum of transaction" and "sum of volume" that shows the decrease or increase as a percentage over the years? Ideally when we drill down and expand on the months - it will also show the percentage differences between the months too. Thanks!
Solved! Go to Solution.
Hi @derekli1700 ,
Maybe you need create a Date table. And then try formula like below:
Assets_Pct_Change =
VAR CurrentYearAssets =
SUM ( 'FactTable'[Assets] )
VAR PreviousYearAssets =
CALCULATE ( SUM ( 'FactTable'[Assets] ), DATEADD ( 'Date'[Date], -1, YEAR ) )
RETURN
DIVIDE ( CurrentYearAssets - PreviousYearAssets, PreviousYearAssets, 0 )
Transaction_Pct_Change =
VAR CurrentYearTransaction =
SUM ( 'FactTable'[Transaction] )
VAR PreviousYearTransaction =
CALCULATE (
SUM ( 'FactTable'[Transaction] ),
DATEADD ( 'Date'[Date], -1, YEAR )
)
RETURN
DIVIDE (
CurrentYearTransaction - PreviousYearTransaction,
PreviousYearTransaction,
0
)
Volume_Pct_Change =
VAR CurrentYearVolume =
SUM ( 'FactTable'[Volume] )
VAR PreviousYearVolume =
CALCULATE ( SUM ( 'FactTable'[Volume] ), DATEADD ( 'Date'[Date], -1, YEAR ) )
RETURN
DIVIDE ( CurrentYearVolume - PreviousYearVolume, PreviousYearVolume, 0 )
Best Regards,
Adamk Kong
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hi @derekli1700 ,
Maybe you need create a Date table. And then try formula like below:
Assets_Pct_Change =
VAR CurrentYearAssets =
SUM ( 'FactTable'[Assets] )
VAR PreviousYearAssets =
CALCULATE ( SUM ( 'FactTable'[Assets] ), DATEADD ( 'Date'[Date], -1, YEAR ) )
RETURN
DIVIDE ( CurrentYearAssets - PreviousYearAssets, PreviousYearAssets, 0 )
Transaction_Pct_Change =
VAR CurrentYearTransaction =
SUM ( 'FactTable'[Transaction] )
VAR PreviousYearTransaction =
CALCULATE (
SUM ( 'FactTable'[Transaction] ),
DATEADD ( 'Date'[Date], -1, YEAR )
)
RETURN
DIVIDE (
CurrentYearTransaction - PreviousYearTransaction,
PreviousYearTransaction,
0
)
Volume_Pct_Change =
VAR CurrentYearVolume =
SUM ( 'FactTable'[Volume] )
VAR PreviousYearVolume =
CALCULATE ( SUM ( 'FactTable'[Volume] ), DATEADD ( 'Date'[Date], -1, YEAR ) )
RETURN
DIVIDE ( CurrentYearVolume - PreviousYearVolume, PreviousYearVolume, 0 )
Best Regards,
Adamk Kong
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
@v-kongfanf-msft hi - the calculations doesnt seem to work when you drill down into month? It works for YOY difference but no month by month difference? Thanks
maybe you can try DATEADD function to get next month's value
https://learn.microsoft.com/en-us/dax/dateadd-function-dax?wt.mc_id=DP-MVP-5004616
Proud to be a Super User!
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Check out the January 2025 Power BI update to learn about new features in Reporting, Modeling, and Data Connectivity.
User | Count |
---|---|
123 | |
78 | |
49 | |
38 | |
37 |
User | Count |
---|---|
196 | |
80 | |
70 | |
51 | |
42 |