# Rolling aggregate

Rolling aggregates are typically used to “smooth” a series and show an averaged version of it. For each point in your series, a Rolling aggregate will calculate a new point based on your window function and aggregate method.

* As an example, if you choose a window size of one week and method `average`, each point will be calculated by finding the average value over the previous week.
* If you choose a window size of three days and method `sum`, then each point will be the sum of the previous three days.
* Windows are calculated by previous values up to and including that point.

## Input type

Time series

## Output type

Time series

### Example

![Rolling aggregate example](../../../assets/f46f8758faa550ce46c308be8f728ec0049a3ce457fe9aac87797c424d1388ca.webp)

## Usage information

| Functionality | Availability |
| --- | --- |
| [Standard Quiver card](../core-concepts/index.md#cards) | Supported |
| [Transform table transform](../cards-transform-table/index.md) | Supported |