Weighted Average / Dynamic Range / Conditional Dashboard

Mar 27, 2014

The drivers are simply a start date and an end date.

For example: 1/1/2014 - 3/31/2014

To keep it simple I am only looking at 4 fields in the referneced data set. They are Date, Net Calls, Average Handle Time and Agent.

So records look as follows:

DATE AGENT NET CALLS AVERAGE HANDLE TIME
1/1/2014 Agent 1 30 Net Calls 2.00 Minutes
1/1/2014 Agent 2 40 Net Calls 8.00 Minutes
1/2/2014 Agent 2 05 Net Calls 25.00 Minutes
...etc

I am stuck on the Average Handle Time problem as this needs to be weighted on net call volume contribution by agent conditional on dates being equal to or greater than the start date and less than or equal to the end date.

I have attached a workbook for reference : Dashboard Table miacg.xlsx‎

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Conditional Weighted Average

Apr 20, 2009

I have two columns. One has cost (column A) and the other has profit (column B). I'd like to calculate the percentage profit as a function of how much something cost. So, if it cost $100 and the profit was $20 I would like to calculate 20%. For all percentages, I'd like to average them. I understand this is a "weighted average" and was able to get this working with this formula:

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Jan 22, 2009

The attachment is only a small portion of the data I need to analyse, but is representative of the full set of data. What I am trying to do is calculate a weighted average of each of the chemicals shown by location and machine usage and also still be able to use the filter or sort funtions. I have created a sample calculation in cell F9 to further explain this calculation.

I would like to be able to use the A-Z sorting icon in any of the columns, while still computing the weighted average of the respected chemicals. As it is now, the referenced cells just remain as the 6-7 cells above the calculation instead of the 6-7 cells that apply to the specific chemical at the location and machine (in this example - caustic at location1 on mch-03). For example, if I try to sort in column F, I'd still like to see my example calculation to reference the same values as it is now, calculating the same resulting 60.719.

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Feb 23, 2008

have the follwing worksheet"

Date Rate Qty
2:06:56 PM 199.5 116
2:06:49 PM 199.5 343
2:06:40 PM 199.5 226
2:06:28 PM 199.5 48
2:06:20 PM 199.4 162
2:06:11 PM 199.5 95
2:06:04 PM 199.4 449
2:05:58 PM 199.6 1488
2:05:40 PM 199.5 9
2:05:40 PM 199.5 9
2:05:37 PM 199.4 161
2:05:28 PM 199.6 101
2:05:23 PM 199.35 4605....................................

I would like to calculate the weighed average rate( rate*qty/ total qty durig a period) for different periods say 2.00 pm to 2.01 pm, 2.01pm to 2.02 pm etc. Is there a way to do this by using database(dsum,daverage) functions. What will be the content of the criterion range? Or is there any other way of solving this.

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Sep 9, 2012

Price
units
percent discount
weighted percent discount (1.0-2.0 price range)
1.32
100

[Code]...

So from the above example I would like to determine the weighted average for percent discount (weighted by units) by price range.

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The data in I34 changes, depending on the input from a drop down using a vlookup command. Is it possible to create a macro and assign it to a shape to make the shape a clickable link?

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Dec 18, 2011

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I would like to paste one area at the time (with all formats, including font, values, borders, merged cells, etc.) into the “physical” dashboard – the visual area on the screen. I do not want to make this operation manually; shall be automatically.

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Jul 25, 2007

I have a large dataset that includes information on the investment payout ratios of US companies over the period 2004-2006. I need to calculate the weighted average investment ratio for each company---see sample below

Microsoft Excel - example.xls ....

[HtmlMaker 2.42] To see the formula in the cells just click on the cells hyperlink or click the Name box
PLEASE DO NOT QUOTE THIS TABLE IMAGE ON SAME PAGE! OTHEWISE, ERROR OF JavaScript OCCUR.

The corresponding weight for each year must be as follows: 0.5 for 2006, 0.3 for 2005 and 0.2 for 2004. Then, for company A, the weighted average will be: (0.5*B2)+(0.3*C2)+(0.1*D2) = 7.8 (see cell E2)

The problem is that for some companies there are missing data for some years. For example, for company B, there are no data available for year 2004. In this case , the weights have to change to 0.6 for 2006 and 0.4 for 2005. Then, the weighted average investment for company B will be (0.6*B3)+(0.4*C3) = 16 (see cell E3). Similarly, in cases when there are data for only 1 year , the weight has to change to 1. Then, for company C the weighted average is 35 (see cell E4)

Is there any formula to give me the weighted average as it appears in column E without having to adjust it for each single case?

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Nov 10, 2009

I have a spreadsheet which basically looks like this

2, 5, 15, 20
2, 8, 12, 13
2, 7, 19, 46
F, 1, 10, 26
P, 1, 10, 39
P, 6, 22, 89
P, 7, 14, 46
P, 2, 11, 14
...

Column A is the key. If multiple rows have the same key, they're related.

The last column (DX on my spreadsheet) represents minutes participated, and is the weight variable. The middle columns are data that I'd like a weighted average for.

Here is the output I'm looking for given the above example:

2, 6.66, 16.83, 79
F, 1, 10, 26
P, 4.91, 16.73, 188

Column A remains the same, with one row for each key. The middle columns have their weighted average (where 6.66 = (5*20+8*13+7*46)/(20+13+46)), and the final column (DX) is the sum of minutes for all like keys.

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Nov 16, 2009

I have long lists of data which has name of manufacturer, number of items and fault rates of items.

E.G

Manufacturer.......Number of Items......Fault Rate
Dell....................40000....................0.2%
Dell....................42200....................0.4%
Sharp.................303003..................0.1%
Microsoft.............312340..................0.04%
Dell....................3249321..................1%
Panasonic............300020...................2%

I need to find the weighted average of each manufacturers fault rate for just themselves, and also how the average of all the manufactueres would be if they weren't in it.

So for example for Dell I would need their weighted average of their three data entries and also then the weighted average of Sharp, Microsoft, Panasonic together.

I have been doing this by splitting the data into sections so for the example above I would do:

Manufacturer.......Number of Items......Fault Rate
Dell....................40000....................0.2%
Dell....................42200....................0.4%
Dell....................3249321..................1%
Panasonic............300020...................2%
Sharp.................303003..................0.1%
Microsoft.............312340..................0.04%

I would sum the Dell items, then sum the number of items excluding Dell then do two weighted average calculations giving me the ones that include then the ones that exclude Dell.

Then I would do...

Manufacturer.......Number of Items......Fault Rate
Sharp.................303003..................0.1%
Microsoft.............312340..................0.04%
Dell....................3249321..................1%
Dell....................40000....................0.2%
Dell....................42200....................0.4%
Panasonic............300020...................2%

And do the same process but with Sharp totals etc then move onto the next one.....

This example is with a very small data set so I'm sure you can see that this process is very time consuming, but I don't know any other way of doing it without splitting out the data first.

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-----------------------------------------------------------------------
Test # 1 Test # 2Test #3Assignment #1Assignment #2Final Test Final MarkPossible Points:1001001001010100Percent Worth:20%20%20%5%5%30%Students:Anderson, Ken6473788768 ?Carter, Bill72768473.587 ?Dubeers, Ashley84887610590Jackson, Kevin7666549873Parker, Jerome82657679.560Remini, Leah969290101089Thompson, Chuck5042806.5760Vaughn, Sarah7265658970
----------------------------------------------------------------------- -
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A300$35
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B275$55
B500$60
A700$20
B350$25
B450$35
C400$80
C400$60

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I'm trying to calculate a weighted average gross margin but am having difficulty because I've instances of positive cost of sales and negative revenue. On a line by line basis I've had no problems calculating the margin but when it comes to calculating the weighted average margin as a whole I come unstuck. Looking at the data below (A1:D14) you can see that the margin should be somewhere between 90-99%.

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Weighted Average

B
C
D
E
F
G

3
months

4
rate
original value
1
2
3
4

[Code] ...

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My final table should show only:
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Attached is a screenshot example.

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I'm sure someone's done something like this before, care to assist?

Example:

Data: 1, 2, 3, 4, 5
Weights: 3, 4, 5, 6, 7

Weighted avg ex hi/lo: (2x4+3x4+4x6)/3 = 44/3

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