Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.
Hi,
Can someone kindly help me adding new column ("Sales Previous Day ") that gets value from previous row (or previpus day, week, year)?
The table data is below.
I want to get sales number of the previous days, weeks, years for each "Store ID".
ID | Store ID | Date | Sales | Sales Previous Day (or week or month) |
1 | 1 | 2021/06/18 | 369 | |
2 | 2 | 2021/06/18 | 800 | |
3 | 3 | 2021/06/18 | 700 | |
4 | 1 | 2021/06/19 | 400 | 369 |
5 | 2 | 2021/06/19 | 850 | 800 |
6 | 3 | 2021/06/19 | 750 | 700 |
7 | 1 | 2021/06/20 | 500 | 400 |
I don't want to do this using DAX like sameperiod previous month, dateadd but show in new column as I want to calculate each row.
I tried to use custom columns and Date.Add function but coundn't reach the solution.
Thank you.
Solved! Go to Solution.
@PeraZo
You can try this as a new column:
Previous Day Sales =
CALCULATE(
SUM(Table2[Sales]),
LASTDATE(
FILTER(
ALL(Table2[Date] ),
Table2[Date] < EARLIER([Date])
)
),
ALLEXCEPT(Table2,Table2[Store ID])
)
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Hi,
Thank you!!
It worked.
I customized your code like below for previous week, month etc. and it's working.
Previous Week Sales =
CALCULATE(
SUM(Table2[Sales]),
LASTDATE(
FILTER(
ALL(Table2[Date] ),
Table2[Date] < EARLIER([Date]) -6
)
),
ALLEXCEPT(Table2,Table2[Store ID])
)
Thank you.
Cheers.
@PeraZo
You can try this as a new column:
Previous Day Sales =
CALCULATE(
SUM(Table2[Sales]),
LASTDATE(
FILTER(
ALL(Table2[Date] ),
Table2[Date] < EARLIER([Date])
)
),
ALLEXCEPT(Table2,Table2[Store ID])
)
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Check out the November 2023 Power BI update to learn about new features.
Read the latest Fabric Community announcements, including updates on Power BI, Synapse, Data Factory and Data Activator.
Join us for a free, hands-on Microsoft workshop led by women trainers for women where you will learn how to build a Dashboard in a Day!