Hi there,
I'm trialling the use of Survey123 in our organisation and have been finding it quite difficult to modify co-ordinates from the office outside the app.
For example, if I want to bulk change a set of co-ordinates retrospectively or if I want to add a new set of points then I'm using the update data >> append data to layer functionality in AGOL to read a.csv file which has lat/long co-ordinates.
It appears to update fine and the attribute table looks correct however, upon examining the map I cannot see the new/modified points at the locations I expect.
When I try export the data out to a .csv file to check co-ordinates I notice that the lat/long co-ordinates have been projected to a different co-ordinate system (see below).
![](data:image/png;base64,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)
Is there any way to force AGOL to only work in the lat/long co-ordinate system? I upload the same file to a new map and the points plot just fine so I'm not sure why the append file is struggling to read it specially seeing as all the other data in this layer is in the correct co-ordinate system.
I've attached the upload file as well as a reference.
Regards,
Ashein