Cluster point map losing volumetry due to geospatial duplicates

As you can see in the following screenshot, I would have 220 units on my map built using only two fields, latitude and longitude:

But, if I zoom in a little on the map, actually (and this is how it is in the source data) I have 219 (cluster) + 3 (green dot) = 222 units

What is happening? The 3 units in the northern area of Spain (green dot), having exactly the same geospatial coordinates (latitude and longitude), in the ‘cluster vision’ of the first capture that I pass, are only counting them as 1 (220 units of the previous point) losing 2 units.

Could you help me understand what the tool is doing?
Thank you very much in advance

The geospatial marks represent unique geospatial coordinates, the counts represent record count (presumably)

Your map is constrained to 220 geospatial marks.

When zoomed out, all of the marks are clustered together

When zoomed in, the coords in Northern Spain is far enough away from the large cluster to pop out into its own mark.

Hi,
Could someone please give us support?
Thanks

Hi,
Could someone please give us support?
Thanks

Hello @dromeroc, I am curious. If you are still facing this issue in your visual, are you running any aggregations on the data within your field well? Would you be able to send an anonymized screenshot of the fields that are present and any calculations you may be using to accomplish this? With a little more information, I may be able to guide you.

Hello @dromeroc, since we have not heard back from you, I will archive this topic. If you still need assistance with this issue, please post a new question in the community and link to this topic to provide relevant information. That will ensure you are at the top of the priority list for a response from one of our QuickSight experts. Thank you!