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#2
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In analyzing data, sales and the like, I found Histograms to be of great value. The x-axis would be the buckets, in the Foodmart example, it would be Sales Units>> 0-10, 11-20, 21-30 etc. in the y-axis, the respective frequencies of customers in those bins >> 10, 30, 50 etc. |
#3
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"LD" <ldhal (AT) hotmail (DOT) com> wrote in message news:e0fRtkgjDHA.684 (AT) TK2MSFTNGP09 (DOT) phx.gbl... In analyzing data, sales and the like, I found Histograms to be of great value. The x-axis would be the buckets, in the Foodmart example, it would be Sales Units>> 0-10, 11-20, 21-30 etc. in the y-axis, the respective frequencies of customers in those bins >> 10, 30, 50 etc. with set CustomerNames AS 'descendants(customers.currentmember, [Customers].[Name])' member measures.[0 - 20] as 'count(filter(CustomerNames, [Store Sales] 20))' member measures.[20 - 40] as 'count(filter(CustomerNames, [Store Sales] >= 20 AND [Store Sales] < 40))' member measures.[40 - 60] as 'count(filter(CustomerNames, [Store Sales] >= 40 AND [Store Sales] < 60))' member measures.[60 - 80] as 'count(filter(CustomerNames, [Store Sales] >= 60 AND [Store Sales] < 80))' member measures.[80 - ...] as 'count(filter(CustomerNames, [Store Sales] = 80))' select {[0 - 20], [20 - 40], [40 - 60], [60 - 80], [80 - ...]} on 0 from sales HTH, Mosha -- ================================================== Mosha Pasumansky - www.mosha.com/msolap Development Lead in the Analysis Server team All you need is love (John Lennon) Disclaimer : This posting is provided "AS IS" with no warranties, and confers no rights. ================================================== |
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