← Back to team overview

dhis2-devs team mailing list archive

Difference between attribute and disaggregate option for category combos

 

Hi all,

 

I need to set up a dhis2 instance in which we want to capture the data for
specific month twice e.g. preliminary output and validated output. We don't
need those to be added together as usual in a data element category
combination. 

 

I have been looking into dataset category combinations but that looks a lot
similar in the manual to attributes. Would like clarity on the difference
between using disaggregate or attribute when selecting data dimension on a
catcombo. 

 

Any suggestions on alternatives would be welcome J

 

Regards,

 

Elmarie Claasen

Hisp logo

Project Manager

Health Information Systems Program

Tel:      041-367 1027

Cell:     082 374 2209

E-mail:  <mailto:elmarie@xxxxxxxx> elmarie@xxxxxxxx

Skype:  elmarie.claasen52 

 

 

This message and any attachments are subject to a disclaimer published at
<http://www.hisp.org/policies.html#comms_disclaimer>
http://www.hisp.org/policies.html#comms_disclaimer .   Please read the
disclaimer before opening any attachment or taking any other action in terms
of this electronic transmission. 
If you cannot access the disclaimer, kindly send an email to
<mailto:disclaimer@xxxxxxxx> disclaimer@xxxxxxxx and a copy will be provided
to you. By replying to this e-mail or opening any attachment you agree to be
bound by the provisions of the disclaimer. 

 


-- 


*This message and any attachments are subject to a disclaimer published at 
http://www.hisp.org/policies.html#comms_disclaimer 
<http://www.hisp.org/policies.html#comms_disclaimer>.  Please read the 
disclaimer before opening any attachment or taking any other action in 
terms of this electronic transmission.  If you cannot access the 
disclaimer, kindly send an email to disclaimer@xxxxxxxx 
<disclaimer@xxxxxxxx> and a copy will be provided to you. By replying to 
this e-mail or opening any attachment you agree to be bound by the 
provisions of the disclaimer.*

PNG image


Follow ups