# Anomaly Job - implications of low cardinality in population analysis **URL:** \ **Category:** Elasticsearch\ **Created:** [December 4, 2023, 4:41pm UTC](https://discuss.elastic.co/t/anomaly-job-implications-of-low-cardinality-in-population-analysis/348584 "2023-12-04T16:41:06Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![marmai16](https://avatars.discourse-cdn.com/v4/letter/m/13edae/32.png) [@marmai16](https://discuss.elastic.co/u/marmai16)\ **Post date:** [December 4, 2023, 4:41pm UTC](https://discuss.elastic.co/t/anomaly-job-implications-of-low-cardinality-in-population-analysis/348584/1 "2023-12-04T16:41:06Z")
Hello everybody, i'am testing an anomaly job. At creation, it warned me that the cardinality is below 10 and it might not be suitable for population analysis. I was asking myself, under which circumstances it might be unsuitable and when it can still produce useful results? I assume that low cardinality is problematic especially when each entity exhibits very different characteristics thus rendering population analysis inadequate. However, if we have a situation where we have low cardinality but high quantity of logs per entity and seemingly similar behaviour between those entities (implied by very few anomalies resulting from initial training/modeling) it appears to me as if population analysis is still applicable in this regard. What's your opinion on this assumption? ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [January 1, 2024, 4:41pm UTC](https://discuss.elastic.co/t/anomaly-job-implications-of-low-cardinality-in-population-analysis/348584/2 "2024-01-01T16:41:41Z")
This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.