Weighted average calculation in query

Hello
i'm having some issues calculating an weighted average...
imagine the next scenario
LINE | FORMAT | TIME | WORKERS
10    | 000123    | 10   | 5
10    | 000123    | 350 | 2
10    | 000123    | 75   | 1
From this i need the wighted average of the nr workers considering the time they were working
so, to calculate that i have to do for example:
(time * worker)/total time
in numbers...
((105)+(3502)(75*1))/(10350+75)
=1,89 workers for that line, for that format and for all that time
I am able to do that formula inside bex analyser, however when the user drills down the report or sorts the key figures in other order the result is not correct.
any suggestions?
Best regards

Hi Ricardo
What we did, in a similar case, we used two formulas. The first one was the calculation (time * worker) with exception aggregation (summation).
The second formula was the previous formula divided to time.
The trick is which characteristic to use for the aggregation in the first formula, i think you should have the most detailed one.
Then i believe the two formulas will calculate correctly the weighted average based on any selections/analysis that you do.
Regards
Yiannis

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How does xMII calculate a time weighted average?

I am in the process of doing data validation for tag query result sets from IP21 process data. The comparison is against an IP21 add in to Excel which generates numbers that don't correspond to the numbers generated by xMII. The add in appears to be generating values according to a Time Weighted Average but it is returning different numbers. The differences are not large, but it is a virtual certainty that a plant manager or process engineer will take issue. So we (I and my client) would like to know how to explain the difference in the calculation results. We suspect that it involves interpolation for missing data, but would like to know for sure. We are also checking the IP21 algorithm(s) to make sure we understand how it works. Any insight would be appreciated.

Rick/Jeremy,
I am still not getting the same values. My correlation testing is in Excel 2003. In xMII I have the number format set to 0.000000. Typical values in the result set are coming in with five decimal place accuracy. I am using one hour's data at 1 minute intervals with date accuracy to the second and the data is compressed to 52 actual datapoints. The time range is 11/07/2007 00:00:00 to 11/07/2007 01:00:00. It is in HistoryEvent mode. The row count is set to 20000.
When I run the TWA from xMII, I get 22773.576740.
When I ran my first algorithm in Excel, I get 22767.37321. When I made the change to what Rick said, I get closer but am still off and get 22769.35835. Can either of you (or anyone else) explain the delta? I have rerun both calculations twice on all three sides and get the same results.
Here is my data:
DateTime ActualValue
11/07/2007 00:00:01 23841.572266
11/07/2007 00:01:01 23608.240234
11/07/2007 00:02:01 23238.177734
11/07/2007 00:03:01 23373.197266
11/07/2007 00:04:01 23244.857422
11/07/2007 00:05:02 23408.943359
11/07/2007 00:06:01 23138.939453
11/07/2007 00:07:01 23325.080078
11/07/2007 00:08:01 23433.609375
11/07/2007 00:10:01 22783.115234
11/07/2007 00:11:01 22642.421875
11/07/2007 00:12:01 22226.654297
11/07/2007 00:13:01 22741.773438
11/07/2007 00:14:01 22611.898438
11/07/2007 00:16:01 22810.580078
11/07/2007 00:17:01 22404.023438
11/07/2007 00:18:01 22627.966797
11/07/2007 00:19:01 22672.619141
11/07/2007 00:20:02 22268.031250
11/07/2007 00:21:01 21770.136719
11/07/2007 00:22:01 22877.025391
11/07/2007 00:23:01 22565.330078
11/07/2007 00:24:01 22781.949219
11/07/2007 00:25:01 22324.345703
11/07/2007 00:26:01 22170.953125
11/07/2007 00:27:01 21960.464844
11/07/2007 00:30:01 22495.685547
11/07/2007 00:31:01 21899.714844
11/07/2007 00:32:01 22487.603516
11/07/2007 00:33:01 22723.382812
11/07/2007 00:34:01 22461.189453
11/07/2007 00:35:01 22823.869141
11/07/2007 00:36:01 22599.085938
11/07/2007 00:37:01 22902.572266
11/07/2007 00:41:01 22894.148438
11/07/2007 00:42:01 22724.144531
11/07/2007 00:43:01 22659.437500
11/07/2007 00:44:01 23105.324219
11/07/2007 00:45:01 22634.763672
11/07/2007 00:46:01 22929.582031
11/07/2007 00:47:01 22475.185547
11/07/2007 00:48:01 22739.755859
11/07/2007 00:50:01 22864.958984
11/07/2007 00:51:01 22556.917969
11/07/2007 00:52:01 22794.998047
11/07/2007 00:53:02 22934.748047
11/07/2007 00:54:01 23206.296875
11/07/2007 00:55:03 22412.509766
11/07/2007 00:56:02 22935.718750
11/07/2007 00:57:01 23924.460938
11/07/2007 00:58:01 22918.369141
11/07/2007 00:59:02 23048.748047
Message was edited by: MAppleby
Michael Appleby

Creating Weighted Average Sub-Totals in Standard Apex Report

Based upon the below query, I am trying to have a Standard SQL report produce Weighted Average sub totals for 4 columns
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, order_by
, Pool_order
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, HighVal
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, LossLow
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, DECODE(CurrBal,0,0,(LowVal/CurrBal * 100 )) AS LowPercent
, DECODE(CurrBal,0,0,(HighVal/CurrBal * 100 )) AS HighPercent
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From (
SELECT   Pool
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, Pool Pool_order
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, Sum(Calculated_Cumm_Loss_High) AS LossHigh
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FROM Current_Data
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HighPercent
LossHighPercent
LossLowPercent
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Dallas, TX

Tony,
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GROUP BY rollup (pool,
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Dear BI Guru's,
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Clinker Value Clinker Rate
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0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
342.00
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0.80
342.00
2.73
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Hi,
I am finding some problem while doing the Average Calculation in the Query.
My data is like this:
Batch      Stock       PO Qty          STO Qty
B1           1000         1000               200
B1           1000         1000               500
In the output I want:
Batch      Allocated           Unallocated
B1           700                    300
The calculation for Unallocated is ( Stock - Allocated ).
Right now I am getting:
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B1           700                   1300
What I want is to do the Average of the Stock Qty and then subtract that from the Allocatde Qty.
Can anyone help out?
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Soumen

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Hi everybody,
I have a table in `PowerPivot` which contains the logged data of a traffic control camera mounted on a road. This table is filled the velocity and the number of vehicles that pass this camera during a specific time(e.g. 14:10 - 15:25). Now I want to know
that how can I get the average velocity of cars for an specific hour and list them in a separate table with 24 rows(hour 0 - 23) where the second column of each row is the weighted average velocity of that hour? A sample of my stat_table data is given below:
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133    96.00237   15
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2       84.29946   21
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1       140.8766   17
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3       94.48055   2
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I have also asked this question at
Stackoverflow.

Hi Reza,
According to your description, you need to calculated the average value of Vel group on Count and Hour, right?
I have tested it on my local environment, the sample expression below is for you reference.
=CALCULATE(sum(Sample[Vel]),ALLEXCEPT(Sample,Sample[Count],Sample[Hour]))
If this is not what you want, please elaborate the issue, so that we can make further analysis.
Regards,
Charlie Liao
TechNet Community Support
Thank you,
Yes it works. But I decided to use a 'measure' rather than a calculated column. My measure's formula is:
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Please have a look here.,
Re: average calculation using sql
My Question is :
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I tried with this query..
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For Ex:
Cloumn1---Column2-----Column3
R1-----------Line Item1--10
R1-----------Line Item2--20
R2-----------Line Item3--30
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Before raising this thread, i had a look at the below URL:
http://siebel.ittoolbox.com/groups/technical-functional/siebel-analytics-l/weighted-average-for-fact-column-values-1242947
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Hi,
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Regards
MuRam
Edited by: MuRam on Jun 11, 2012 4:46 AM

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u2026u2026..
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