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src/content/docs/analytics/sampling.mdx

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Sampled data is highly reliable, and can provide insights that are as dependable as those derived from full datasets. Cloudflare designs sampling techniques to ensure we capture the essential characteristics of the entire dataset, delivering results you can trust.
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Sampling is an approach similarly used in other domains, for instance:
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Sampling is an approach similarly used in other domains, for instance:
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- Google Maps: Just as online maps display lower-resolution images when zoomed out and higher-resolution images when zoomed in — keeping the total number of pixels relatively constant — Cloudflare Analytics dynamically adjusts sampling rates to efficiently provide insights, ensuring queries return consistent and accurate results regardless of dataset size.
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## Additional considerations
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**When sampling occurs**
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**When sampling occurs**
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- Sampling is typically applied to very high-traffic datasets where full data analysis would be impractical.
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- For smaller datasets, full data analysis is often performed without sampling.
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