Earn a 50% discount on the DP-600 certification exam by completing the Fabric 30 Days to Learn It challenge.
I have a table that basically looks liks this:
Date | Article | Consumption |
2022-06-01 | A | 5 |
2022-05-03 | A | 4 |
2022-06-03 | B | 2 |
2022-06-01 | B | 4 |
2022-05-15 | B | 5 |
2022-06-04 | A | 3 |
I would like to have a calculated column where I get the average consumption by week and only based on the previous six months data. It should be separated by article and article
Solved! Go to Solution.
HI @vipett,
Did you mean to get the weekly total and average of rolling six months? If that is the case, you can try to use the following formula:
Formula =
AVERAGEX (
SUMMARIZE (
ADDCOLUMNS (
FILTER (
Table,
[Date]
>= DATE ( YEAR ( EARLIER ( Table[Date] ) ), MONTH ( EARLIER ( Table[Date] ) ) - 6, DAY ( EARLIER ( Table[Date] ) ) )
&& [Date] <= EARLIER ( Table[Date] )
&& [Article] = EARLIER ( Table[Article] )
),
"WeekNumber", WEEKNUM ( [Date], 2 ),
"Year", YEAR ( [Date] )
),
[Year],
[WeekNumber],
"Total", SUM ( Table[Consumption] )
),
[Total]
)
Regards,
Xiaoxin Sheng
HI @vipett,
Did you mean to get the weekly total and average of rolling six months? If that is the case, you can try to use the following formula:
Formula =
AVERAGEX (
SUMMARIZE (
ADDCOLUMNS (
FILTER (
Table,
[Date]
>= DATE ( YEAR ( EARLIER ( Table[Date] ) ), MONTH ( EARLIER ( Table[Date] ) ) - 6, DAY ( EARLIER ( Table[Date] ) ) )
&& [Date] <= EARLIER ( Table[Date] )
&& [Article] = EARLIER ( Table[Article] )
),
"WeekNumber", WEEKNUM ( [Date], 2 ),
"Year", YEAR ( [Date] )
),
[Year],
[WeekNumber],
"Total", SUM ( Table[Consumption] )
),
[Total]
)
Regards,
Xiaoxin Sheng
User | Count |
---|---|
50 | |
23 | |
18 | |
18 | |
14 |
User | Count |
---|---|
91 | |
84 | |
43 | |
26 | |
21 |