Great, that was fast :)
---------------------------------- Ola Hodne Titlestad (Mr) HISP Department of Informatics University of Oslo Mobile: +47 48069736 Home address: Eftasåsen 68, 0687 Oslo, Norway. Googlemaps link <https://maps.google.com/maps?q=Eftas%C3%A5sen+68,+0687+Oslo,+Norge&hl=en&ie=UTF8&sll=59.893855,10.785116&sspn=0.222842,0.585709&oq=eftas%C3%A5sen+68,+0687+Oslo,+&t=h&hnear=Eftas%C3%A5sen+68,+%C3%98stensj%C3%B8,+0687+Oslo,+Norway&z=16> On 4 June 2014 00:55, Lars Helge Øverland <larshe...@gmail.com> wrote: > Hi, > > in pivot table in 2.15 try going to options > aggregation type > count and > see if that covers it. > > Lars > On Jun 3, 2014 11:50 AM, "Jason Pickering" <jason.p.picker...@gmail.com> > wrote: > >> Hi Ola, >> I think it makes a lot of sense. The "Data browser" of course offers this >> type of functionality, but it is sort of buried inside the admin module. We >> have used it here in Zambia for the same purpose, but it was developed a >> long time before the pivot table module, so much of this could really be >> done better nowadays with the PT. Would be useful here as well. >> >> Best regards, >> Jason >> >> >> >> On Tue, Jun 3, 2014 at 11:17 AM, Ola Hodne Titlestad <ol...@ifi.uio.no> >> wrote: >> >>> Hi, >>> >>> Here in Bangladesh they are very found of the Data Status feature of the >>> Indian Data Analyzer module. >>> One key feature there is to not only see the percentage of datasets >>> reported (which is available in DV, Pivots, GIS as well), but to also see >>> the count of values collected for each data element/categoryoptioncombo (or >>> data element total count). >>> >>> This gives a much better detail to which parts of a dataset that is used >>> (and not used), and also potentially to look at data elements that are very >>> rarely used and therefore potential candidates for removal in the next >>> revision of forms etc. >>> >>> Would it be possible to add an option in Pivot Tables to change the >>> aggregation method for data values to count? >>> >>> This could be useful in DV and GIS as well, but I think Pivot Tables is >>> the most suitable place for this kind of "data browsing". >>> >>> Ola >>> ------ >>> >>> ---------------------------------- >>> Ola Hodne Titlestad (Mr) >>> HISP >>> Department of Informatics >>> University of Oslo >>> >>> Mobile: +47 48069736 >>> Home address: Eftasåsen 68, 0687 Oslo, Norway. Googlemaps link >>> <https://maps.google.com/maps?q=Eftas%C3%A5sen+68,+0687+Oslo,+Norge&hl=en&ie=UTF8&sll=59.893855,10.785116&sspn=0.222842,0.585709&oq=eftas%C3%A5sen+68,+0687+Oslo,+&t=h&hnear=Eftas%C3%A5sen+68,+%C3%98stensj%C3%B8,+0687+Oslo,+Norway&z=16> >>> >>> _______________________________________________ >>> Mailing list: https://launchpad.net/~dhis2-devs >>> Post to : dhis2-devs@lists.launchpad.net >>> Unsubscribe : https://launchpad.net/~dhis2-devs >>> More help : https://help.launchpad.net/ListHelp >>> >>> >> >> _______________________________________________ >> Mailing list: https://launchpad.net/~dhis2-devs >> Post to : dhis2-devs@lists.launchpad.net >> Unsubscribe : https://launchpad.net/~dhis2-devs >> More help : https://help.launchpad.net/ListHelp >> >> > _______________________________________________ > Mailing list: https://launchpad.net/~dhis2-devs > Post to : dhis2-devs@lists.launchpad.net > Unsubscribe : https://launchpad.net/~dhis2-devs > More help : https://help.launchpad.net/ListHelp > >
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