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Re: Cumulative Reporting?

 

I certainly agree that your method is much more sophisticated and flexible,
and would love to have something like this available through the API - but
going back to Eddie's initial post, it seems to me his specific goal could
be achieved relatively simply. It would be different if he goes beyond the
current year, or if he needs to display the cumulative figures for all the
months separately.


On Thu, Dec 12, 2013 at 5:36 AM, Jason Pickering <
jason.p.pickering@xxxxxxxxx> wrote:

> Hi Knut,
> This is not quite the same thing. There may be data for time periods
> earlier than 2013 of course.
>
> But as I have implemented this requirement other places in the form of
> reports/scripts to generate this data, if the following data is reported
>
> Dec 2012 9
> Jan 2013 10
> Feb 2013 15
> March 2013 14
> ..
>
> The cumulative "indicator" for this would be
> Dec 2012 9
> Jan 2013 19
> Feb 2013 34
> March 2013 48
> ...
>
> These sorts of indicators are  needed when calculating things like "Number
> of people who have ever started ART", where "New ART starts" are reported
> each month. So instead of having the facility to calculate "Number of
> people who have every started ART", it can be calculated with a
> cumulative/running total instead from the new figures reported each month.
> I think this arises from the lack of a "RUNNING SUM" operator for the time
> dimension in DHIS2, which probably should be there.
>
> Best regards,
> Jason
>
>
>
> On Thu, Dec 12, 2013 at 2:53 AM, Knut Staring <knutst@xxxxxxxxx> wrote:
>
>> I think you could just take the yearly data for 2013. This should add up
>> what is available so far this year.
>>
>> Sent from my mobile
>> On 12 Dec 2013 01:55, "Jason Pickering" <jason.p.pickering@xxxxxxxxx>
>> wrote:
>>
>>> Hi Eddie,
>>>
>>> You certainly could, but there is no way to do this directly with DHIS2
>>> I think . You could use windowing functions of Postgresql [0] to calculate
>>> the cumulative sum, or create your own function with a custom function with
>>> PL/R which has been described in the documentation outlined here [1]. There
>>> are various ways to do this in R, either with the base "cumsum" function or
>>> with more advanced methods in the "timeSeries" package depending on your
>>> exact needs.
>>>
>>> The simplest method however might be to use Excel [2] .
>>>
>>> However at the moment, there is no way to do this directly with DHIS2 as
>>> far as I know. But if others know more direct methods, it would be good to
>>> know!
>>>
>>> Regards,
>>> Jason
>>>
>>>
>>> [0]
>>> http://www.postgresonline.com/journal/archives/47-How-to-calculate-Running-Totals-and-Sums-in-SQL.html
>>> [1] http://www.dhis2.org/doc/snapshot/en/user/html/apcs06.html
>>> [2]http://support.microsoft.com/kb/214149
>>>
>>>
>>> On Wed, Dec 11, 2013 at 1:50 PM, Edwin Mulwa <eddiemu@xxxxxxxxx> wrote:
>>>
>>>> Hi,
>>>>
>>>> I would like to create a report that has a field(s) which is a
>>>> cumulative total calculation involving multiple data elements. For example,
>>>> I have data elements A and B and I am doing monthly cumulative reporting
>>>> such that the value for element A in Feb will be the value of A in Jan +
>>>> the new value for B in Feb, the value for A in March will be the value of A
>>>> in Feb + the new value for B in March, etc.
>>>>
>>>> Can we create such a report in DHIS?
>>>>
>>>> Edwin
>>>>
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>>>
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>>>
>


-- 
Knut Staring
Dept. of Informatics, University of Oslo
+4791880522
http://dhis2.org

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