# Numeric

Numeric metrics capture central tendency and dispersion in numerical columns, such as:

* **Mean (**[**average**](https://docs.soda.io/data-observability/metric-monitoring-dashboard/column-monitors/numeric/average)**)**
* [**Standard deviation**](https://docs.soda.io/data-observability/metric-monitoring-dashboard/column-monitors/numeric/standard-deviation) **&** [**variance**](https://docs.soda.io/data-observability/metric-monitoring-dashboard/column-monitors/numeric/variance)
* [**Sum**](https://docs.soda.io/data-observability/metric-monitoring-dashboard/column-monitors/numeric/sum)
* **Percentiles (**[**Q1**](https://docs.soda.io/data-observability/metric-monitoring-dashboard/column-monitors/numeric/q1)**,** [**median**](https://docs.soda.io/data-observability/metric-monitoring-dashboard/column-monitors/numeric/median)**,** [**Q3**](https://docs.soda.io/data-observability/metric-monitoring-dashboard/column-monitors/numeric/q3)**)**

Numeric metrics enable you to detect outliers, shifts in scale, or drifts in distribution over time.

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