dhis2-devs team mailing list archive

[Lars Helge Øverland <lars@xxxxxxxxx>]

Hi Muturi,

yes I see you point. This is something we could look into supporting as a
setting (include only periods with data in average denominator). I get's a
bit tricky to implement as we need to weigh the values according to the
number of days in the data period, and since we need to calculate all this
with acceptable performance. We will look into it.

Lars


On Thu, Nov 17, 2016 at 7:02 PM, David Muturi <dnmuturi@xxxxxxxxx> wrote:

> Hi Lars,
> Many thanks for your response. Adding a bi-weekly period type will
> definitely be a good feature to have. However in my example screen shot the
> value for one month e.g. July is 20 and since it was collected for one week
> then the average is 20/1 which is 20. What the system is doing is 20
> /(31/7) = 4.5,given July has 31 days which means the system is including
> weeks in which no data was collected and mathematically this is incorrect.
> If formula for calculating this can be fixed to be a count of the weeks in
> which data is entered (including zeroes) then it would be mathematically
> correct instead of including periods in which no data is collected.
> rgds
> David
>
> 2016-11-17 20:49 GMT+03:00 Lars Helge Øverland <lars@xxxxxxxxx>:
>
>> Hi David,
>>
>> the way the average+sum aggregation works is roughly this:
>>
>>
>> sum( [days in data period] X data value ) / [days-in-aggregation-period]
>>
>>
>> In other words, we take the sum of the product of no of days in the data
>> value period and data value, divided by no of days in aggregation period.
>>
>> Data value period is the period for which the raw data is collected
>> (weekly in your case). Aggregation period is the period which is requested
>> in analytics (monthly and quarterly in your case).
>>
>> So in this case, the problem is that you capture data by weeks which in
>> reality represent bi-weeks - this confuses the aggregation output. The
>> holes in the data (you have many weeks without data) will pull down the
>> average score. Based on the rules outlined the results seems correct from
>> what I can see.
>>
>>
>> We could rather look into adding support for a bi-weekly period type.
>>
>>
>> best regards,
>>
>> Lars
>>
>>
>>
>> On Wed, Nov 16, 2016 at 2:24 PM, David Muturi <dnmuturi@xxxxxxxxx> wrote:
>>
>>> Hi Lars,
>>> Many thanks for your response, since we do not have biweekly defined as
>>> a dhis2 period type(which would be great to have), we have configured the
>>> dataset to be weekly but only that data is entered on a biweekly basis,
>>> meaning one week will miss data while another will have based on when it
>>> was collected. I have attached an excel download from the datavalues table
>>> as well as a screen shot showing the weekly periods that data is collected.
>>> rgds
>>> David
>>>
>>> 2016-11-16 14:08 GMT+03:00 Lars Helge Øverland <lars@xxxxxxxxx>:
>>>
>>>> Hi David,
>>>>
>>>> sounds strange indeed. We need some more info. Can you include
>>>> bi-weekly periods in your screenshot so that we can see what the original
>>>> captured value is?
>>>>
>>>> regards,
>>>>
>>>> Lars
>>>>
>>>>
>>>>
>>>> On Mon, Nov 14, 2016 at 8:50 PM, David Muturi <dnmuturi@xxxxxxxxx>
>>>> wrote:
>>>>
>>>>> Hi Team,
>>>>> I have a data element set us Average sum in org unit hierarchy and
>>>>> collected on a bi weekly basis, when I select the data in the pivot table,
>>>>> the average values are bizarre(see attachment). Is this how the above
>>>>> aggregation operator is meant to work or its a bug?
>>>>> rgds
>>>>> David
>>>>>
>>>>> _______________________________________________
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>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> Lars Helge Øverland
>>>> Lead developer, DHIS 2
>>>> University of Oslo
>>>> Skype: larshelgeoverland
>>>> lars@xxxxxxxxx
>>>> http://www.dhis2.org <https://www.dhis2.org/>
>>>>
>>>>
>>>
>>
>>
>> --
>> Lars Helge Øverland
>> Lead developer, DHIS 2
>> University of Oslo
>> Skype: larshelgeoverland
>> lars@xxxxxxxxx
>> http://www.dhis2.org <https://www.dhis2.org/>
>>
>>
>


-- 
Lars Helge Øverland
Lead developer, DHIS 2
University of Oslo
Skype: larshelgeoverland
lars@xxxxxxxxx
http://www.dhis2.org <https://www.dhis2.org/>