How to count backward and calculating average weeks?

[#1]

Hi to all,

May someone can help me.

I have a table that has tickets and resolving areas.  I need to show the total number of resolved tickets by area, this for a certain time frame (could be week or year) , but also the average of this. What I mean is if I select from a year some specific weeks I want to obtain the average of this.

For example:

Year 2011 --> weeks 4,5,6  --> resolved tickets 10, 21, 9 --> The result of average week will be 3. So if I want the average of resolved tickets will be sum resolved tickets / average weeks (30/3 = 10)

How can I do this? Any help will be really aprreciated.

[swuehl]

Not quite sure if I understand, if you select on your data, your aggregation functions should only take your selection into account in default state.

So I would assume, that if you select on weeks 4,5,6 in year 2011, something like

= sum([Resolved Tickets]) / count(distinct [weeks])

should result in (10+21+9) / 3 = 40 / 3

Probably this is not what you want?

[#3]

Thanks a lot, it's useful. But I'm trying to save this selection on variable, so I can used it on another thing.

[swuehl]

You are trying to save the selection on a variable? Not sure if I understand. Are you talking about a bookmark?

You can use set analysis in your sum and count function to e.g. use a bookmark (let's call it BookMark1)

= sum( {BookMark1} [Resolved Tickets]) / count( {BookMark1} distinct [weeks])

[#5]

Thanks!

I’m going to try it.

Gissela