Hey @meljung ,
The issue seems to stem from using an aggregated metric (`count_distinct(user_id)`) in the map visual.
When clicking on a county, the map attempts to filter other visuals using the underlying dimension, but inconsistencies may occur if the visual relies
on an aggregation for interactivity.
Recommended Fix:
1. Use a clear dimension field (e.g., `county_name`) as the basis for filtering in the map. This ensures cross-filtering works reliably when a county is clicked.
2. Keep `count_distinct(user_id)` only as the measure for display, but ensure it's not used as the source of the filter.
3. Update other visuals (like charts) to be filterable by `county_name`. This helps them respond correctly when the map applies filters.
4. (Optional) Add a filter widget for `county_name` to verify the data behaves correctly when filtered manually.
-->Why this works:
Databricks dashboards propagate filters based on dimension values, not aggregates.
If the map uses an aggregated field without a consistent dimension for filtering, it may not emit filters properly, causing some regions to appear unresponsive.
harisankar