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Good day,
I'm busy with a price gap calculation using one manufacturer as the base and all other manufacturers average price compared to that specified manufacturer. Basically I need to get the average price difference of all manufacturers to the average price for manufacturer A i.e A-B, A-C, A-D etc. See below table as example of what is required.
Bakery | (All) | |
Customer Group | (All) | |
Row Labels | AVR Price | Price Gap |
A | 16.13 | |
B | 9.83 | 6.29 |
C | 14.76 | 1.37 |
D | 15.42 | 0.71 |
E | 10.46 | 5.67 |
F | 10.87 | 5.26 |
G | 10.67 | 5.46 |
H | 9.99 | 6.13 |
I | 10.63 | 5.50 |
J | 8.04 | 8.08 |
K | 7.99 | 8.13 |
L | 12.31 | 3.82 |
M | 8.47 | 7.65 |
N | 14.46 | 1.67 |
O | 14.05 | 2.08 |
P | 12.48 | 3.65 |
Q | 11.75 | 4.38 |
R | 10.56 | 5.57 |
S | 10.64 | 5.48 |
The statement I'm using is as follow but I'm not getting the desired result:
gap test =
CALCULATE (
AVERAGE ( 'Pricing - GT (2)'[AVR Price] ),
FILTER ( 'Pricing - GT (2)', 'Pricing - GT (2)'[Manufacturer] = "Albany" )
)
- CALCULATE (
AVERAGE ( 'Pricing - GT (2)'[AVR Price] ),
ALL ( 'Pricing - GT (2)'[Manufacturer] )
)
Below is a sample of the table I use, table is linked only to a manufacturer sort order and a date tables:
ID | Start time | Sales Rep | Bakery | Depot Name | Bill To Number (Mosaic Account Number) | Store Name | Town Name | Customer Group | Price | Manufacturer | Type | Sub Type | Sort Order | Measure |
22795 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Nathi Tuck Shop | Bophelong | Independent | 16.13 | A | Superior | White | 1 | RSP | |
15211 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Paulos Tuck Shop | Bophelong | Independent | 9.83 | B | Superior | White | 2 | RSP | |
15212 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Morning Star | Bophelong | Independent | 14.76 | C | Superior | White | 3 | RSP | |
15213 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Zet Tuck Shop | Bophelong | Independent | 15.42 | D | Superior | White | 4 | RSP | |
15210 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Phola Supermarket | Bophelong | Independent | 10.46 | E | Superior | White | 5 | RSP | |
22793 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Bophelong Supermarket | Bophelong | Independent | 10.87 | F | Superior | White | 6 | RSP | |
22794 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | ebenezer tuck shop | Bophelong | Independent | 10.67 | G | Superior | White | 7 | RSP | |
22792 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Big 11 Supermarket | Bophelong | Independent | 9.99 | H | Superior | White | 8 | RSP | |
22798 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | BB store | Bophelong | Independent | 10.63 | I | Superior | White | 9 | RSP | |
22801 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Darso Tuck Shop | Bophelong | Independent | 8.04 | J | Superior | White | 10 | RSP | |
22799 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Mr Supermarket | Bophelong | Independent | 7.99 | K | Superior | White | 11 | RSP | |
22805 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Big Star Supermarket | Bophelong | Independent | 12.31 | L | Superior | White | 12 | RSP | |
22803 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Dude 7 | Bophelong | Independent | 8.47 | M | Superior | White | 13 | RSP | |
22802 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Mama Africa Tuck Shop | Bophelong | Independent | 14.46 | N | Superior | White | 14 | RSP | |
22796 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Happiness tuck shop | Bophelong | Independent | 14.05 | O | Superior | White | 15 | RSP | |
22800 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Mhlanga Tuck Shop | Bophelong | Independent | 12.48 | P | Superior | White | 16 | RSP | |
22804 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Rehoboth Tuck Shop | Bophelong | Independent | 11.75 | Q | Superior | White | 17 | RSP | |
22797 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Alex tuck shop | Bophelong | Independent | 10.56 | R | Superior | White | 18 | RSP | |
8980 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Mandela Tuck Shop | Bophelong | Independent | 10.64 | S | Superior | White | 19 | RSP | |
8979 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Mega supermarket | Bophelong | Independent | 16.63 | A | Superior | White | 1 | RSP | |
8978 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Ndlovu tuck shop | Bophelong | Independent | 10.33 | B | Superior | White | 2 | RSP | |
8981 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Rethabile tuck shop | Bophelong | Independent | 15.26 | C | Superior | White | 3 | RSP | |
8991 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Lusaka Tuck Shop | Bophelong | Independent | 15.92 | D | Superior | White | 4 | RSP | |
8993 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | ZAMA ZAMA TUCK SHOP | Bophelong | Independent | 10.96 | E | Superior | White | 5 | RSP | |
8989 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Big 11 Supermarket | Bophelong | Independent | 11.37 | F | Superior | White | 6 | RSP | |
8992 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | MJ Supermarket | Bophelong | Independent | 11.17 | G | Superior | White | 7 | RSP | |
8990 | 44483 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Ebony tuck shop | Bophelong | Independent | 10.49 | H | Superior | White | 8 | RSP | |
15209 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Dibaba Tuck Shop | Bophelong | Independent | 11.13 | I | Superior | White | 9 | RSP | |
22806 | 44580 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Good Price Supermarket | Bophelong | Independent | 8.54 | J | Superior | White | 10 | RSP | |
15208 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Dude Tuck Shop | Bophelong | Independent | 8.49 | K | Superior | White | 11 | RSP | |
15207 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Millennium Tuck Shop | Bophelong | Independent | 12.81 | L | Superior | White | 12 | RSP | |
15205 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Lengweleng Tuck Shop | Bophelong | Independent | 8.97 | M | Superior | White | 13 | RSP | |
15203 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | ebenezer tuck shop | Bophelong | Independent | 14.96 | N | Superior | White | 14 | RSP | |
15198 | 44511 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Happiness tuck shop | Bophelong | Independent | 14.55 | O | Superior | White | 15 | RSP | |
23653 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Lusaka Tuck Shop | Bophelong | Independent | 12.98 | P | Superior | White | 16 | RSP | |
20493 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Zet Tuck Shop | Bophelong | Independent | 12.25 | Q | Superior | White | 17 | RSP | |
20494 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Tropica tuck shop | Bophelong | Independent | 11.06 | R | Superior | White | 18 | RSP | |
20482 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Big 11 Supermarket | Bophelong | Independent | 11.14 | S | Superior | White | 19 | RSP | |
20483 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | teddy tuck shop | Bophelong | Independent | 16.43 | A | Superior | White | 1 | RSP | |
20485 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Bafana Bafana Tuck Shop | Bophelong | Independent | 10.13 | B | Superior | White | 2 | RSP | |
20486 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Fifa Tuck Shop | Bophelong | Independent | 15.06 | C | Superior | White | 3 | RSP | |
20480 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Hlatshwayo Tuck Shop | Bophelong | Independent | 15.72 | D | Superior | White | 4 | RSP | |
20487 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Dube Tuck Shop | Bophelong | Independent | 10.76 | E | Superior | White | 5 | RSP | |
20488 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Paulos Tuck Shop | Bophelong | Independent | 11.17 | F | Superior | White | 6 | RSP | |
20489 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Ebony tuck shop | Bophelong | Independent | 10.97 | G | Superior | White | 7 | RSP | |
20490 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Mama Africa Tuck Shop | Bophelong | Independent | 10.29 | H | Superior | White | 8 | RSP | |
20492 | 44551 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Shalom Supermarket | Bophelong | Independent | 10.93 | I | Superior | White | 9 | RSP | |
23634 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Shalom Tuck shop | Bophelong | Independent | 8.34 | J | Superior | White | 10 | RSP | |
23643 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Motsepe Tuck Shop | Bophelong | Independent | 8.29 | K | Superior | White | 11 | RSP | |
23636 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Lesedi Tuck Shop | Bophelong | Independent | 12.61 | L | Superior | White | 12 | RSP | |
23651 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Madiba tuck shop | Bophelong | Independent | 8.77 | M | Superior | White | 13 | RSP | |
23652 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Paulos Tuck Shop | Bophelong | Independent | 14.76 | N | Superior | White | 14 | RSP | |
23647 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Happiness tuck shop | Bophelong | Independent | 14.35 | O | Superior | White | 15 | RSP | |
23649 | 44588 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Lengweleng Tuck Shop | Bophelong | Independent | 12.78 | P | Superior | White | 16 | RSP | |
1701 | 44434 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Dibaba Tuck Shop | Bophelong | Independent | 12.05 | Q | Superior | White | 17 | RSP | |
1696 | 44434 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Rethabile tuck shop | Bophelong | Independent | 10.86 | R | Superior | White | 18 | RSP | |
1698 | 44434 | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Mama tuck shop | Bophelong | Independent | 10.94 | S | Superior | White | 19 | RSP |
Please can you assist me with this statment to be able to calculate a price gap as per the above?
Much appreciated,
Neville
Hey,
If manufacturer A is equal to 'Albany', you can use this code:
gap test =
VAR _ManufacturerA =
CALCULATE (
AVERAGE ( 'Pricing - GT (2)'[AVR Price] ),
'Pricing - GT (2)'[Manufacturer] = "Albany"
)
VAR _CurrentManufacturer =
AVERAGE ( 'Pricing - GT (2)'[AVR Price] )
RETURN
_ManufacturerA - _CurrentManufacturer
Hi Barthel,
Thank you for the expression, it works perfectly. I'm using this expression on another table with the same data but more to it, but it then just gives me the average pricing of each manufacturer as a negative price. How does additional fields effect the expression. What I don't have is the AVR Price column in the new table, but tried AVERAGE(Price) when pulling price on the grid. See sample table below. Would the expression also change if I use page filters for certain fields on the dashboard?
ID | Start time | Completion time | Sales Rep | Bakery | Depot Name | Bill To Number (Mosaic Account Number) | Store Name | Town Name | Customer Group | From who does this store get their Albany bread? | Is there a Pricing Poster in the Store? | Does the Store have a Bread Stand? | Is the Store GPS Plotted / Geo Coded? | Is Tinkies Available in the Store? | Is BOB Available in the Store? | Are Buns & Rolls Available in the Store? | Is Whole Wheat Brown Bread available in the Store? | Attribute | Value | Price | Manufacturer | Type | Sub Type | Sort Order | Measure | Albany Price | |
22795 | ######## | ######## | Nelson.Maduna@TigerBrands.com | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Nathi Tuck Shop | Bophelong | Independent | Albany Directly | Yes | No | Yes | Yes | No | No | No | Blue Ribbon Classic White RSP | 16 | R 16.00 | Blue Ribbon | Superior | White | 2 | RSP | 0 | |
15211 | ######## | ######## | Nelson.Maduna@TigerBrands.com | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Paulos Tuck Shop | Bophelong | Independent | Albany Directly | Yes | No | Yes | Yes | No | No | No | Blue Ribbon Classic White RSP | 16 | R 16.00 | Blue Ribbon | Superior | White | 2 | RSP | 0 | |
22801 | ######## | ######## | Nelson.Maduna@TigerBrands.com | Nelson Fanaye Maduna | Sasolburg | Sasolburg | Darso Tuck Shop | Bophelong | Independent | Albany Directly | Yes | No | Yes | No | No | No | No | Blue Ribbon Classic White RSP | 16 | R 16.00 | Blue Ribbon | Superior | White | 2 | RSP | 0 | |
37233 | ######## | ######## | lucinda.september@TigerBrands.com | Lucinda September | Bellville | Bellville | Mega supermarket | Wellington | Independent | Albany Directly | Yes | Yes | Yes | No | No | No | No | Albany Everyday White RSP | 13 | R 13.00 | Albany | Everyday | White | 1 | RSP | 13 | |
37238 | ######## | ######## | lucinda.september@TigerBrands.com | Lucinda September | Bellville | Bellville | Corner Fruit & Veg | Wellington | Independent | Albany Directly | Yes | Yes | No | No | No | No | No | Albany Everyday White RSP | 13 | R 13.00 | Albany | Everyday | White | 1 | RSP | 13 | |
37757 | ######## | ######## | lucinda.september@TigerBrands.com | Lucinda September | Bellville | Bellville | Pick Mor | Belhar | Independent | Albany Directly | Yes | Yes | Yes | No | Yes | Yes | Yes | Albany Everyday White RSP | 1 699.00 | R 16.99 | Albany | Everyday | White | 1 | RSP | 16.99 | |
29323 | ######## | ######## | lucinda.september@TigerBrands.com | Lucinda September | Bellville | Bellville | Brackenfell Supermarket | Brackenfell | Independent | Albany Directly | No | Yes | Yes | Yes | Yes | Yes | Yes | Sasko More Slices White RSP | 15 | R 15.00 | Sasko | Everyday | White | 3 | RSP | 0 | |
31799 | ######## | ######## | lucinda.september@TigerBrands.com | Lucinda September | Bellville | Bellville | Die Rug Superette | Paarl | Independent | Albany Directly | No | No | Yes | No | No | No | No | Sasko More Slices White RSP | 15 | R 15.00 | Sasko | Everyday | White | 3 | RSP | 0 | |
33847 | ######## | ######## | lucinda.september@TigerBrands.com | Lucinda September | Bellville | Bellville | Maadina Tuck Shop | Belhar | Independent | Albany Directly | No | Yes | Yes | No | No | No | No | Sasko More Slices White RSP | 15 | R 15.00 | Sasko | Everyday | White | 3 | RSP | 0 |
Your assistance is highly appreciated.
Regards,
Neville
Hi @NevilleDuToit,
These aggregation functions should be effective based on current row contents, if you change the filter effects, they will also re-calculate the results.
Row Context and Filter Context in DAX - SQLBI
If you mean to calculate with multiple aggregations, you can take a look at Greg's blog to handle this scenario:
Measure Totals, The Final Word
Notice: please not attach the sensitive data in your reply or sample data.
Regards,
Xiaoxin Sheng
Hi there Team,
I have not had a reply as yet on the above question after a solution was given. Kindly help me as I'm not getting the statement to work with additional fields added to the dataset.
Much appreciated,
Neville
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