Metric and bucket aggregations are basic concepts that are used when creating visualizations.

**Table of contents**

**Metric aggregations**

Metric aggregations that calculate metrics from field values, used for the Y-axis of a visualization.

- count
- average
- sum
- min
- max
- standard deviation
- unique count
- median (50th percentile)
- percentiles
- percentile ranks
- top hit
- geo centroid

- derivative
- cumulative sum
- moving average
- serial diff

Sibling Pipeline Aggregations:

- average bucket
- sum bucket
- min bucket
- max bucket

**Bucket aggregations**

Bucket aggregations that group documents into buckets, are based on field values, ranges, or other criteria, used for the X-axis of a visualization

- date histogram
- range
- terms
- filters
- significant terms

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