A
agarwaldvk
Julie
No, I tried to use the Pivot Table but I don't think that in thi
instance, its going to be of any help (unless there is somethere her
that I am not seeing).
The reason I say this is this :-
The raw data is in 9 columns - 2 of these contain the produc
decription (in other words, their name). The 75 odd products that
mention are the unique values of these product names across the ful
range (35000 rows and these 2 columns). I am not interested in th
count or sum by these column headings (which I suppose Pivot Tabl
works with) - more so I am interested in the count of the unique value
of each of the product names.
Having said this, the arrangement of the raw data would look somethin
like so :-
St, TerId, TerName, shpcod, col4, mnth, custId, prod1
prod2
NSW, N0, Name1, ABC, 01, 2004-09, 27974955, A, B
NSW, N1, Name2, BCD, 02, 2004-08, 27974956, C, B
VIC, N0, Name1, ABC, 02, 2004-09, 27974951, A, D
NSW, N0, Name3, PQR, 05, 2004-08, 27974952, E, B
WA, W0, Name4, KLM, 01, 2004-07, 27974952, A, D
QLD, Q0, Name2, ART, 04, 2004-07, 27974959, C, F
VIC, V0, Name7, NHY, 02, 2004-09, 27974954, E, B
Now what I am after is the count of product 'A' by month by state b
outlet code. Similarly, the count of product 'B' by month by state b
outlet code and so on!
Hopefully, this is clarify matters a trifle more! If Pivot Table can d
this, I am more than willing to give it a go!
Best regards
Deepak Agarwal
(And by the way how did you guess, I am an Aussie? Good to know yo
though!
No, I tried to use the Pivot Table but I don't think that in thi
instance, its going to be of any help (unless there is somethere her
that I am not seeing).
The reason I say this is this :-
The raw data is in 9 columns - 2 of these contain the produc
decription (in other words, their name). The 75 odd products that
mention are the unique values of these product names across the ful
range (35000 rows and these 2 columns). I am not interested in th
count or sum by these column headings (which I suppose Pivot Tabl
works with) - more so I am interested in the count of the unique value
of each of the product names.
Having said this, the arrangement of the raw data would look somethin
like so :-
St, TerId, TerName, shpcod, col4, mnth, custId, prod1
prod2
NSW, N0, Name1, ABC, 01, 2004-09, 27974955, A, B
NSW, N1, Name2, BCD, 02, 2004-08, 27974956, C, B
VIC, N0, Name1, ABC, 02, 2004-09, 27974951, A, D
NSW, N0, Name3, PQR, 05, 2004-08, 27974952, E, B
WA, W0, Name4, KLM, 01, 2004-07, 27974952, A, D
QLD, Q0, Name2, ART, 04, 2004-07, 27974959, C, F
VIC, V0, Name7, NHY, 02, 2004-09, 27974954, E, B
Now what I am after is the count of product 'A' by month by state b
outlet code. Similarly, the count of product 'B' by month by state b
outlet code and so on!
Hopefully, this is clarify matters a trifle more! If Pivot Table can d
this, I am more than willing to give it a go!
Best regards
Deepak Agarwal
(And by the way how did you guess, I am an Aussie? Good to know yo
though!