RE: When does visualization become a bottleneck?

Visualization becomes a bottleneck when it starts slowing down analysis instead of supporting it.

This usually happens with large datasets, where rendering millions of points overwhelms tools, or when dashboards are overloaded with too many charts and interactions. It can also occur if data isn’t pre-aggregated, causing real-time queries to lag.

The fix is to simplify. Use aggregation, sampling, or caching, and focus only on visuals that drive decisions. Good visualization should speed up understanding, not delay it.

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