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revstockli
New Member

4 Week Average Sales from Non-Consecutive Days

I need to caluculate the average sales but I keep getting errors about non-consecutive dates. 

 

The formula is:  Units Inventory / 4 Week Average Sales Units.  In this case, it would be 825/Aveage of (36,984+35,928+36,179+36,955).  This calculation would work for each date listed for a historical trend.

 

Thanks in adavce to anyone who can help!

 

revstockli_0-1675810595776.png

 

1 ACCEPTED SOLUTION
v-yangliu-msft
Community Support
Community Support

Hi  @revstockli ,

 

Here are the steps you can follow:

1. Create calculated column.

Week =
 WEEKNUM('Table'[Date])
Rank =
RANKX(
    FILTER(ALL('Table'),
    YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))),[Week],,ASC)
Mod =
var _mod=
MOD('Table'[Rank],4)
return
IF(
    _mod =0 ,1,0)
Group =
SUMX(
    FILTER(ALL('Table'),'Table'[Date]>=EARLIER('Table'[Date])),[Mod])

vyangliumsft_0-1675823979833.png

2. Create measure.

Measure =
var _sumgroup=
SUMX(
    FILTER(ALL('Table'),
    'Table'[Group]=MAX('Table'[Group])),[Units Inventory])
var _sumvalue=
MAX('Table'[Net Unit Sales])
return
DIVIDE(
    _sumvalue,_sumgroup)

3. Result:

vyangliumsft_1-1675823979834.png

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

View solution in original post

2 REPLIES 2
v-yangliu-msft
Community Support
Community Support

Hi  @revstockli ,

 

Here are the steps you can follow:

1. Create calculated column.

Week =
 WEEKNUM('Table'[Date])
Rank =
RANKX(
    FILTER(ALL('Table'),
    YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))),[Week],,ASC)
Mod =
var _mod=
MOD('Table'[Rank],4)
return
IF(
    _mod =0 ,1,0)
Group =
SUMX(
    FILTER(ALL('Table'),'Table'[Date]>=EARLIER('Table'[Date])),[Mod])

vyangliumsft_0-1675823979833.png

2. Create measure.

Measure =
var _sumgroup=
SUMX(
    FILTER(ALL('Table'),
    'Table'[Group]=MAX('Table'[Group])),[Units Inventory])
var _sumvalue=
MAX('Table'[Net Unit Sales])
return
DIVIDE(
    _sumvalue,_sumgroup)

3. Result:

vyangliumsft_1-1675823979834.png

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

amitchandak
Super User
Super User

@revstockli , Create date table with week rank column

 

Week Rank = RANKX('Date','Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX('Date','Date'[Year Week],,ASC,Dense) //YYYYWW format


These measures can help

Orders is measure in my example

 

Avg Last 4 weeks = CALCULATE(Averagex(Values('Date'[Week Rank]), [orders]) , FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-4 && 'Date'[Week Rank]<=max('Date'[Week Rank])))

 

 

more

Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-La...
https://www.youtube.com/watch?v=pnAesWxYgJ8
This Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))

 

 

 

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