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Frequent Visitor

## Incorrect Moving Average Date and Sum

Hello PowerBI Gurus,

I know moving average is a fairly common question but I have some current issues with my DAX  formula.

I will explain the data set I am using and the talk about the formula .

Say I have the following sample, the right most corner is the Rolling 7 day average.

So, basically if i have the following sets , the 3rd column ( 7 day rolling average) is populated from the 7th day observation and is the sum of the last 7 days .

The next value is the sum of the 2nd day to 7th day , and so on. The following is a screenshot of the formula worked out on excel.

I am using the following DAX formula for the Moving Average calculation, I need both SUM and Average, so the following

Rolling 7 day SUM = SUMX(DATESINPERIOD('Date Key'[Date], LASTDATE('Date Key'[Date]),-7,DAY),[Total Sales])

Rolling 7 day MA = AVERAGEX(DATESINPERIOD('Date Key'[Date], LASTDATE('Date Key'[Date]),-7,DAY),[Total Sales])

The output of "Rolling 7 day SUM" is the following in the DAX for formula used above ( SUMX(DATESINPERIOD('Date Key'[Date], LASTDATE('Date Key'[Date]),-7,DAY),[Total Sales]))

You will see the first three rows for the 7 day match but then the next does not .

My table structure is ,

I have a main table named as  doolally_pos_master_staging

which has a date column named "pos_order_date" and a  sales column name "final_total"

and, TotalSales = SUM([final_total])

and,   Date Key is a Date table on the doolally_pos_master_staging table

Date Key = CALENDAR(min('DoolallySales doolally_pos_master_staging'[pos_order_date]), max('DoolallySales doolally_pos_master_staging'[pos_order_date]))

What am I doing wrong  and what should my formula be to ignore the first 7 days that does not have the rollup sum or rollup average.

Thanks you very much for your help.

Regards,

Dev

1 ACCEPTED SOLUTION
Employee

Hi @devleena,

Please try this solution to calculate moving average without adding a calendar table.

In Query Editor mode, sort the field 'DoolallySales doolally_pos_master_staging'[pos_order_date] in Ascending order. Then, add an index column.

Then, in report view, add DoolallySales doolally_pos_master_staging'[pos_order_date] into table visual, create measues like this:

```TotalSales = SUM([final_total])

Rolling 7 day SUM2 =
IF (
MAX ( doolally_pos_master_staging[Index] ) < 7,
BLANK (),
CALCULATE (
[TotalSales],
FILTER (
ALL ( doolally_pos_master_staging ),
doolally_pos_master_staging[Index] <= MAX ( doolally_pos_master_staging[Index] )
&& doolally_pos_master_staging[Index]
> MAX ( doolally_pos_master_staging[Index] ) - 7
)
)
)

Rolling 7 day Average2 =
IF (
MAX ( doolally_pos_master_staging[Index] ) < 7,
BLANK (),
CALCULATE (
[TotalSales],
FILTER (
ALL ( doolally_pos_master_staging ),
doolally_pos_master_staging[Index] <= MAX ( doolally_pos_master_staging[Index] )
&& doolally_pos_master_staging[Index]
> MAX ( doolally_pos_master_staging[Index] ) - 7
)
)
)
/ 7
```

Best regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
5 REPLIES 5
Super User

Hmm, not sure what is going on but try posting your data as text that can be copied. Also, you might look at my Time Intelligence The Hard Way Quick Measure: https://community.powerbi.com/t5/Quick-Measures-Gallery/Time-Intelligence-quot-The-Hard-Way-quot-TIT...

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DAX is easy, CALCULATE makes DAX hard...
Frequent Visitor

Hello Greg,

I tried your solution and a little RnD at my end too.

However, I am not being able to calculate the Moving Average as they get calculated in Microsoft Excel .

The Moving Average is being calculated correctly now, however I do not want to put the first 7 non-average days in the graph .

I can drop them ( exclude rows ) manually,  however, it will not really solve my case , because the start date ( earliest date ) of my dataset varies .

So, say when I am calculating the 7  day moving average for a store in Location A, the earliest day is Nov 13th , 2016 .

The average days start from Nov 19th ( 7 days from start ) and I am expecting my result to output only days from Nov 19th and onwards.

I also have a different store in a different location, the earliest day of which is  Jan 22nd, 2017, so the 7th day will be different.

Thanks and Regards,

Dev

Employee

Hi @devleena,

Please try this solution to calculate moving average without adding a calendar table.

In Query Editor mode, sort the field 'DoolallySales doolally_pos_master_staging'[pos_order_date] in Ascending order. Then, add an index column.

Then, in report view, add DoolallySales doolally_pos_master_staging'[pos_order_date] into table visual, create measues like this:

```TotalSales = SUM([final_total])

Rolling 7 day SUM2 =
IF (
MAX ( doolally_pos_master_staging[Index] ) < 7,
BLANK (),
CALCULATE (
[TotalSales],
FILTER (
ALL ( doolally_pos_master_staging ),
doolally_pos_master_staging[Index] <= MAX ( doolally_pos_master_staging[Index] )
&& doolally_pos_master_staging[Index]
> MAX ( doolally_pos_master_staging[Index] ) - 7
)
)
)

Rolling 7 day Average2 =
IF (
MAX ( doolally_pos_master_staging[Index] ) < 7,
BLANK (),
CALCULATE (
[TotalSales],
FILTER (
ALL ( doolally_pos_master_staging ),
doolally_pos_master_staging[Index] <= MAX ( doolally_pos_master_staging[Index] )
&& doolally_pos_master_staging[Index]
> MAX ( doolally_pos_master_staging[Index] ) - 7
)
)
)
/ 7
```

Best regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Frequent Visitor

The amount being calculated is correct . There is a gap in the record , 22nd Novemeber 2015 is not there.

So I switched on the key for showing null values and the math is now working fine.

What I still not being able to do is, ignore the first 7 days where there is no rollup sum.

Frequent Visitor

Hello Greg,

Thank you for the prompt reply .

Please find the text data below

 Date Total Sales 7 Day Rolling Avg 13/11/15 0:00 ₹31,650 14/11/15 0:00 ₹1,07,740 15/11/15 0:00 ₹1,38,140 16/11/15 0:00 ₹52,370 17/11/15 0:00 ₹71,570 18/11/15 0:00 ₹1,25,490 19/11/15 0:00 ₹88,890 ₹6,15,850 20/11/15 0:00 ₹1,50,490 ₹7,34,690 21/11/15 0:00 ₹1,50,520 ₹7,77,470 23/11/15 0:00 ₹83,270 ₹7,22,600 24/11/15 0:00 ₹1,15,200 ₹7,85,430 25/11/15 0:00 ₹89,170 ₹8,03,030 26/11/15 0:00 ₹76,920 ₹7,54,460 27/11/15 0:00 ₹2,12,510 ₹8,78,080 28/11/15 0:00 ₹1,51,440 ₹8,79,030 29/11/15 0:00 ₹1,46,350 ₹8,74,860 30/11/15 0:00 ₹77,640 ₹8,69,230 01/12/15 0:00 ₹65,970 ₹8,20,000 02/12/15 0:00 ₹1,24,530 ₹8,55,360 03/12/15 0:00 ₹87,100 ₹8,65,540 04/12/15 0:00 ₹1,57,820 ₹8,10,850 05/12/15 0:00 ₹2,05,070 ₹8,64,480 06/12/15 0:00 ₹1,19,550 ₹8,37,680 07/12/15 0:00 ₹87,170 ₹8,47,210 08/12/15 0:00 ₹93,570 ₹8,74,810 09/12/15 0:00 ₹1,50,260 ₹9,00,540 10/12/15 0:00 ₹1,49,450 ₹9,62,890 11/12/15 0:00 ₹2,36,620 ₹10,41,690 12/12/15 0:00 ₹1,86,540 ₹10,23,160 13/12/15 0:00 ₹1,37,470 ₹10,41,080

Hope this helps

Thanks and Regards,

Dev

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