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Feb 26, 2016 12:53 PM
(2226 views)

Dear All,

If I have a simple formula as;

ADB=Sum(NetRevenue) / Sum(AdultNight) which is €70.48 = €7,646,735.88 / 108,498 in this data set.

How will I calculate the Cumulative Weighted Mean of ADB (weight=AdultNight) by Sales Date to visualise "ADB Cumulative Mean vs. Sales Date"

The formula I know can not calculate the weight which puts out the wrong final ADB as €68,51

Tables attached

Many thanks in advance for your help.

Solved! Go to Solution.

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Feb 27, 2016 7:25 AM
(2270 views)

Solution

Does this formula return the numbers you want?

Sum**(**:Name**(**"Sum(NetRevenue)"**)[****1** :: Row**()])** / Sum**(**:Name**(**"Sum(AdultNight)"**)[****1** :: Row**()])**

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Feb 27, 2016 7:25 AM
(2271 views)

Does this formula return the numbers you want?

Sum**(**:Name**(**"Sum(NetRevenue)"**)[****1** :: Row**()])** / Sum**(**:Name**(**"Sum(AdultNight)"**)[****1** :: Row**()])**

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Feb 28, 2016 7:15 AM
(2113 views)

Yes it does! Thank you.

Is formula

Sum**(**:Name**(**"Sum(NetRevenue)"**)[****1** :: Row**()])**

a way of calculating the Cumulative Sum?

If I would change the Sum with Mean would it calculate the Cumulative Mean?

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Feb 28, 2016 11:11 AM
(2113 views)

Yes.

Mean**(**:ADB**[****1**::Row**()])**

should give the same result as your formula

If**(**Row**()** == **1**,

:ADB,

**(**:ADB Cumulative Mean**[**Row**()** - **1****]** * **(**Row**()** - **1****)** + :ADB**)** / Row**()**

**)**

However, for very large tables your formula would probably be significantly faster, despite the conditional structure, because it does not require extracting a matrix for each row.