Thanks a lot, Jason. I'll consider filing a blueprint for this.

Regards,

Robin

From: Jason Pickering [mailto:jason.p.picker...@gmail.com]
Sent: 10 September 2014 17:55
To: Robin Martens
Cc: Lars Helge Ă˜verland; dhis2-users@lists.launchpad.net; dhis2-devs
Subject: Re: [Dhis2-devs] DHIS2 - Indicator calculation over dimensions

Hi Robin,
It has been a discussed, and certainly not a bug. See a related thread here 
(https://lists.launchpad.net/dhis2-devs/msg27571.html) for a similar discussion 
on validation rules. It is essentially the same as indicators. What you will 
have to do is to create seperate indicator for each and every combination which 
you need. It can be painful, but the only way really which I know at the moment.

Feel free to file a blueprint here. https://blueprints.launchpad.net/dhis2

Regards,
Jason


On Wed, Sep 10, 2014 at 5:37 PM, Robin Martens 
<mart...@sher.be<mailto:mart...@sher.be>> wrote:
Dear all,

I've been testing the indicator calculation algorithm and noticed something 
particular of which I'm not sure if it's a bug or a deliberate development 
choice.

Indicators are not explicitly defined per category such as data elements but 
the reporting tools allow a disaggregated indicator calculation, which is 
definitely very useful. In a specific example, I want to know how many people 
were vaccinated this year and I have 3 kinds of vaccinations: A, B, and C. I 
have two data elements: the total population and the national vaccination 
levels (in %), with a custom category "vaccination type" which can be A, B, or 
C.

My indicator would be "total population" x "national vaccination level 
(total)". That works fine when put in a pivot table.

However, when trying to disaggregate the indicator calculation by adding my 
custom category to the pivot table, I don't have any values anymore. It seems 
the reason is that the "total population" data element does not have the 
"vaccination type" category (which seems logical) and therefore isn't found by 
the calculation algorithm. As a result, my table is empty. It seems useful that 
the algorithm would take the aggregated value (for population) available in 
such cases.

Another example is over the period dimension: my population is a yearly value, 
so when calculating an indicator on a monthly basis, instead of taking the 
available yearly value, he takes zero.

So my question: is this a deliberate choice in the development, a bug, or an 
idea for a future system improvement?

Kind regards,

Robin



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Jason P. Pickering
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