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Hi friends,
I have 3 tables including order, salesman and product like blow:
OrderCode | SalesManCode | Productcode | OrderDate | Quantity | Amount |
102227 | 10 | 1 | 12/12/2016 | 12 | 240 |
102228 | 11 | 2 | 12/12/2016 | 22 | 343 |
102225 | 5 | 3 | 12/12/2016 | 14 | 223 |
102230 | 4 | 1 | 12/12/2016 | 21 | 221 |
102207 | 11 | 2 | 12/12/2016 | 44 | 332 |
102221 | 14 | 4 | 12/12/2016 | 22 | 453 |
102252 | 11 | 5 | 13/12/2016 | 11 | 256 |
102206 | 16 | 5 | 13/12/2016 | 13 | 431 |
102244 | 7 | 1 | 13/12/2016 | 56 | 316 |
102214 | 19 | 2 | 13/12/2016 | 61 | 395 |
102206 | 16 | 3 | 13/12/2016 | 25 | 293 |
102206 | 1 | 7 | 13/12/2016 | 14 | 413 |
102251 | 17 | 8 | 13/12/2016 | 56 | 267 |
102237 | 4 | 6 | 13/12/2016 | 30 | 333 |
102208 | 19 | 4 | 13/12/2016 | 47 | 277 |
102248 | 14 | 10 | 13/12/2016 | 26 | 374 |
102255 | 17 | 4 | 14/12/2016 | 39 | 316 |
102215 | 11 | 3 | 14/12/2016 | 29 | 296 |
102232 | 2 | 9 | 14/12/2016 | 31 | 355 |
102246 | 15 | 13 | 14/12/2016 | 45 | 274 |
102212 | 14 | 16 | 14/12/2016 | 16 | 340 |
102225 | 11 | 9 | 14/12/2016 | 52 | 278 |
102243 | 5 | 1 | 14/12/2016 | 52 | 440 |
102208 | 7 | 3 | 14/12/2016 | 60 | 305 |
102235 | 19 | 13 | 14/12/2016 | 54 | 412 |
102251 | 9 | 7 | 14/12/2016 | 59 | 320 |
102233 | 13 | 4 | 14/12/2016 | 30 | 240 |
102242 | 12 | 13 | 15/12/2016 | 46 | 251 |
102241 | 12 | 11 | 15/12/2016 | 58 | 407 |
102227 | 18 | 7 | 15/12/2016 | 29 | 400 |
102221 | 4 | 13 | 15/12/2016 | 62 | 308 |
102208 | 5 | 13 | 15/12/2016 | 51 | 344 |
102250 | 11 | 4 | 15/12/2016 | 23 | 239 |
102236 | 10 | 6 | 15/12/2016 | 12 | 230 |
102214 | 10 | 10 | 15/12/2016 | 33 | 328 |
102227 | 18 | 16 | 15/12/2016 | 26 | 274 |
102229 | 8 | 9 | 15/12/2016 | 52 | 358 |
102214 | 9 | 3 | 15/12/2016 | 45 | 292 |
102211 | 11 | 3 | 15/12/2016 | 41 | 302 |
102247 | 8 | 7 | 15/12/2016 | 20 | 232 |
102219 | 19 | 15 | 15/12/2016 | 62 | 236 |
102216 | 13 | 3 | 15/12/2016 | 30 | 262 |
102220 | 6 | 10 | 15/12/2016 | 52 | 237 |
102204 | 17 | 10 | 15/12/2016 | 61 | 325 |
102231 | 15 | 6 | 15/12/2016 | 60 | 284 |
102242 | 7 | 13 | 15/12/2016 | 12 | 295 |
102246 | 11 | 13 | 16/12/2016 | 46 | 375 |
102236 | 12 | 5 | 16/12/2016 | 50 | 330 |
102232 | 2 | 8 | 16/12/2016 | 19 | 430 |
102249 | 4 | 9 | 16/12/2016 | 19 | 317 |
102217 | 7 | 8 | 16/12/2016 | 39 | 258 |
102250 | 11 | 8 | 16/12/2016 | 50 | 250 |
102234 | 2 | 5 | 16/12/2016 | 13 | 357 |
102209 | 9 | 16 | 16/12/2016 | 49 | 421 |
102233 | 18 | 15 | 16/12/2016 | 23 | 367 |
102234 | 12 | 10 | 16/12/2016 | 55 | 283 |
102227 | 19 | 12 | 16/12/2016 | 40 | 241 |
102243 | 5 | 13 | 16/12/2016 | 27 | 324 |
102232 | 12 | 6 | 16/12/2016 | 17 | 272 |
102206 | 2 | 6 | 16/12/2016 | 47 | 378 |
102206 | 16 | 10 | 16/12/2016 | 27 | 351 |
102204 | 7 | 2 | 16/12/2016 | 25 | 412 |
SalesManCode | SalesManName | SalesType |
1 | Jack | Phone |
2 | Michael | Phone |
3 | Susan | Direct |
4 | Lina | Direct |
5 | John | Internet |
6 | Alice | Agent |
7 | Phillip | Agent |
8 | Mina | Internet |
9 | Tina | Internet |
10 | Fizan | Internet |
11 | Anna | Phone |
12 | Peter | Agent |
13 | Sheng | Agent |
14 | Shuhn | Agent |
15 | Son | Phone |
16 | Hellien | Internet |
17 | Antony | Phone |
18 | Han | Direct |
ProductCode | ProductName | ProductLine | ProductCategory |
1 | A | L1 | C1 |
2 | B | L1 | C1 |
3 | C | L1 | C1 |
4 | D | L2 | C1 |
5 | E | L2 | C1 |
6 | F | L3 | C2 |
7 | G | L3 | C2 |
8 | H | L4 | C2 |
9 | I | L4 | C2 |
10 | K | L4 | C2 |
11 | L | L5 | C3 |
12 | M | L5 | C3 |
13 | N | L5 | C3 |
14 | O | L6 | C3 |
15 | P | L6 | C3 |
16 | Q | L6 | C3 |
17 | S | L7 | C3 |
I need to create a report to calculate the avg of lineproduct per each SalesmanType daily! it means i have to avg how many lineproducts sold per each SalesmanType in daily. Could anyone give some advices?
Regards,
J.
Could you do it with either a matrix or a bar chart with a calculated measure?
Hi,
For example, in 12/12/2016:
The salesman Jack sold:
12 product A --> Product line L1
11 product B --> Product line L1
9 product C --> Product line L2
The salesman Susan sold:
11 product A --> Productline L1
14 product C --> Productline L2
22 product G ---> Product L3
--> 2 Productlines sold in 12/12/2016 by Lina
---> 3 Productlines sold in 12/12/2016 by Susan
Because Lina and Susan belong to Direct type --> measure = SUM(count(distint(productline))/count(distinct(salesmancode) = 3/2=1,5
In order table only contains salesmanCode and productCode, so please attention to the calculation for productline and salesmantype
Regards,
J.
Hi @MichaelJackpbi,
I think it's just simple with:
AVG = DIVIDE(DISTINCTCOUNT('Product'[ProductLine]),DISTINCTCOUNT(SalesMan[SalesManCode]))
Please check this expression with your data and let me know if it's working or not.
I dont think the rule was simple like you wirten, please look at the order table- it contains the productcode and the salesmancode but we need to calculate for productline & SalesType that are higher levels.
PL = CALCULATE(COUNTROWS(VALUES(Products[ProductLine])))
CountSalesMan = CALCULATE(COUNTROWS(VALUES(Orders[SalesManCode])))
AVG = [PL]/[CountSalesMan]
@Vvelarde Thank for your comment,
It seems like incorrect, but i mean the number of productline / number of salesType( not salemancode)- has any difference between 2 levels?
+Look at the image, i can see the figures for P/L and CountSalesMan were incorrect in total
I see you countrows in Product table to have number of ProductLine but is it true for Order table ?
I really hope you help me to explain more about your rules and give me the pbix file for further references.
Regards,
J.
Hi @MichaelJackpbi,
I would like to help your case. Could you please show your expectation in excel file? so i could understand your requirement correctly.
Please help me!.
Please help!.
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