Hi Team,
I have calculated all fields by using pivot table, but i need to calculate again some fields by using DAX.
I have calculate by using DAX
% Month =DIVIDE([Total Order],CALCULATE([Total Order],ALLSELECTED(),VALUES('Pick Report'[Month])))
Now i have to calculate (Running or cumulative total of each month product) & ( Cumulative Percentages). ( Whatever product by each month as i did in pivot table) ---> Need in DAX
Each product have multiple order per day per date.
I am unable to attached snapshot exceeding limit it is only 321k data.
I have calculated all fields by using pivot table, but i need to calculate again some fields by using DAX.
I have calculate by using DAX
% Month =DIVIDE([Total Order],CALCULATE([Total Order],ALLSELECTED(),VALUES('Pick Report'[Month])))
Now i have to calculate (Running or cumulative total of each month product) & ( Cumulative Percentages). ( Whatever product by each month as i did in pivot table) ---> Need in DAX
Each product have multiple order per day per date.
I am unable to attached snapshot exceeding limit it is only 321k data.
!Karcher Slotting New Model.xlsx | |||||||||||||||||||
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B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | |||
2 | Pivot table | By Pivot table | |||||||||||||||||
3 | Pivot table | Month | Month | ||||||||||||||||
4 | Count of Orders | Month | 1 | 2 | |||||||||||||||
5 | SKUs | 1 | 2 | 3 | 4 | 5 | SKUs | Ord Per Month | % Mont | Runn Tot | % Cumm | Ord Per Month | % Mont | Runn Tot | % Cumm | ||||
6 | 15163160 | 545 | 442 | 488 | 7 | 6 | 15163160 | 545 | 2.58% | 545 | 2.58% | 442 | 2.19% | 442 | 2.19% | ||||
7 | 62958900 | 474 | 273 | 289 | 218 | 213 | 62958900 | 474 | 2.24% | 1019 | 4.83% | 273 | 1.35% | 715 | 3.55% | ||||
8 | 15131420 | 488 | 336 | 310 | 111 | 199 | 15131420 | 488 | 2.31% | 1507 | 7.14% | 336 | 1.67% | 1051 | 5.22% | ||||
9 | 69591300 | 250 | 248 | 288 | 247 | 283 | 69591300 | 250 | 1.18% | 1757 | 8.32% | 248 | 1.23% | 1299 | 6.45% | ||||
10 | 26431470 | 336 | 166 | 141 | 238 | 333 | 26431470 | 336 | 1.59% | 2093 | 9.91% | 166 | 0.82% | 1465 | 7.27% | ||||
11 | 26439080 | 263 | 240 | 217 | 293 | 255 | 26439080 | 263 | 1.25% | 2356 | 11.16% | 240 | 1.19% | 1705 | 8.46% | ||||
12 | 13241130 | 387 | 303 | 270 | 169 | 250 | 13241130 | 387 | 1.83% | 2743 | 12.99% | 303 | 1.50% | 2008 | 9.97% | ||||
13 | 16021240 | 332 | 287 | 263 | 217 | 274 | 16021240 | 332 | 1.57% | 3075 | 14.56% | 287 | 1.42% | 2295 | 11.39% | ||||
14 | 16298490 | 191 | 173 | 371 | 260 | 199 | 16298490 | 191 | 0.90% | 3266 | 15.47% | 173 | 0.86% | 2468 | 12.25% | ||||
15 | 62957500 | 257 | 177 | 181 | 165 | 72 | 62957500 | 257 | 1.22% | 3523 | 16.68% | 177 | 0.88% | 2645 | 13.13% | ||||
16 | |||||||||||||||||||
17 | |||||||||||||||||||
Sheet4 |