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Hi All,
I have cummulative perecnetages driven by DAX in term of context transition. On that percentages i have applied condition by AA,A,C & D which is working correctly , now i want count how many AA , A, B C & D , Could you please assist.
All measures calculated based on DAX
Hi @Anonymous ,
Please have a try.
Create a measure.
coutncolumn = CALCULATE(COUNT('Table'[Class by cumm]),FILTER(ALL('Table'),'Table'[Class by cumm]=SELECTEDVALUE('Table'[Class by cumm])))
If I have misunderstood your meaning, please provide more details with your desired output.
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Sir, Much appreciate your response for this query, Ok i will explian you , In raw data I have SKU & Order Columns , rest all achived by using DAX Cummulative Total , Cummulative Percentage , Class by Cumm all there is no such coulumns in raw data table.
I have below info to calculate ther metrics & measures , which i have almost done except to count how many A, B & C.
Pls let me know if you need more info
Hi @Anonymous ,
I'm sorry I got a little confused. What is your desired output? Could you please provide you pbix file without privacy information(or some sample data) and desired output with more details( Best output in image form with text explanation)
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Polly,
I have done this on excel by using pivot table and some formulas. Now i am transferring this template on Power Bi.
Following is Excel Results.
Following is the sample data.
4.Cummulative total = if(
NOT(ISBLANK([SUM Of Total OrdersAll])),
CALCULATE(
[SUM Of Total OrdersAll],
FILTER(
ALL(examp[SKU]),
SUM(examp[Total Orders])<=[SUM Of Total OrdersAll]
)
)
)
1.SUM Of Total OrdersAll = sum(examp[Total Orders])
2.sum of total orders by SKU = CALCULATE([SUM Of Total OrdersAll],REMOVEFILTERS(examp[SKU]))
3.% of Orders by Month = DIVIDE([SUM Of Total OrdersAll],[sum of total orders by SKU])
5.% of Cummulative Total = DIVIDE([Cummulative total],[sum of total orders by SKU])
SKUMonth-YYYYTotal Orders
15163160 | 1/01/2021 | 545 |
15163160 | 2/01/2021 | 488 |
16021240 | 12/01/2021 | 332 |
16022320 | 13/01/2021 | 278 |
16298490 | 7/01/2021 | 191 |
26439080 | 6/01/2021 | 263 |
26439080 | 9/01/2021 | 168 |
28630060 | 11/01/2021 | 194 |
62953570 | 14/01/2021 | 317 |
62958900 | 3/01/2021 | 474 |
64145520 | 10/01/2021 | 199 |
69591300 | 4/01/2021 | 250 |
69591300 | 5/01/2021 | 336 |
69591300 | 8/01/2021 | 387 |
13241130 | 8/02/2021 | 303 |
15120560 | 9/02/2021 | 85 |
15131420 | 2/02/2021 | 336 |
15131420 | 1/02/2021 | 442 |
16021240 | 12/02/2021 | 287 |
16022320 | 13/02/2021 | 266 |
16298490 | 7/02/2021 | 173 |
26431470 | 5/02/2021 | 166 |
26439080 | 6/02/2021 | 240 |
28630060 | 11/02/2021 | 199 |
62953570 | 14/02/2021 | 221 |
62958900 | 3/02/2021 | 273 |
64145520 | 10/02/2021 | 212 |
69591300 | 4/02/2021 | 248 |
15163160 | 1/03/2021 | 488 |
15131420 | 2/03/2021 | 310 |
62958900 | 3/03/2021 | 289 |
69591300 | 4/03/2021 | 288 |
26431470 | 5/03/2021 | 141 |
26439080 | 6/03/2021 | 217 |
16298490 | 7/03/2021 | 371 |
13241130 | 8/03/2021 | 270 |
15120560 | 9/03/2021 | 442 |
64145520 | 10/03/2021 | 235 |
28630060 | 11/03/2021 | 204 |
16021240 | 12/03/2021 | 263 |
16022320 | 13/03/2021 | 245 |
62953570 | 14/03/2021 | 232 |
15163160 | 1/04/2021 | 7 |
15131420 | 2/04/2021 | 111 |
62958900 | 3/04/2021 | 218 |
69591300 | 4/04/2021 | 247 |
26431470 | 5/04/2021 | 238 |
26439080 | 6/04/2021 | 293 |
16298490 | 7/04/2021 | 260 |
13241130 | 8/04/2021 | 169 |
15120560 | 9/04/2021 | 70 |
64145520 | 10/04/2021 | 219 |
28630060 | 11/04/2021 | 189 |
16021240 | 12/04/2021 | 217 |
16022320 | 13/04/2021 | 236 |
62953570 | 14/04/2021 | 249 |
15163160 | 15/04/2021 | 6 |
15131420 | 16/04/2021 | 199 |
62958900 | 17/04/2021 | 213 |
69591300 | 18/04/2021 | 283 |
26431470 | 19/04/2021 | 333 |
26439080 | 20/04/2021 | 255 |
16298490 | 21/04/2021 | 199 |
13241130 | 22/04/2021 | 250 |
15120560 | 23/04/2021 | 440 |
64145520 | 24/04/2021 | 229 |
28630060 | 25/04/2021 | 236 |
16021240 | 26/04/2021 | 274 |
16022320 | 27/04/2021 | 195 |
62953570 | 28/04/2021 | 194 |
15163160 | 1/06/2021 | 912 |
15131420 | 2/06/2021 | 157 |
62958900 | 3/06/2021 | 204 |
69591300 | 4/06/2021 | 330 |
26431470 | 5/06/2021 | 366 |
26439080 | 6/06/2021 | 245 |
16298490 | 7/06/2021 | 259 |
13241130 | 8/06/2021 | 1 |
15120560 | 9/06/2021 | 155 |
64145520 | 10/06/2021 | 235 |
28630060 | 11/06/2021 | 249 |
16021240 | 12/06/2021 | 140 |
16022320 | 13/06/2021 | 6 |
62953570 | 14/06/2021 | 72 |
15163160 | 1/07/2021 | 234 |
15131420 | 2/07/2021 | 480 |
62958900 | 3/07/2021 | 336 |
69591300 | 4/07/2021 | 309 |
26431470 | 5/07/2021 | 345 |
26439080 | 6/07/2021 | 255 |
16298490 | 7/07/2021 | 246 |
13241130 | 8/07/2021 | 277 |
15120560 | 9/07/2021 | 212 |
64145520 | 10/07/2021 | 230 |
28630060 | 11/07/2021 | 285 |
16021240 | 12/07/2021 | 42 |
16022320 | 13/07/2021 | 314 |
62953570 | 14/07/2021 | 237 |
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