> For the complete documentation index, see [llms.txt](https://docs.rasgoml.com/rasgo-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rasgoml.com/rasgo-docs/rasgo-0.1/all-transforms/rolling_agg.md).

# Rolling Agg

Row-based; Calculates a rolling aggregate based on a relative row window.

Pass in order\_by columns and offsets to create a row-based look-back or look-forward windows.

Example use case: Aggregate the last 10 sales for a customer regardless of when they occurred.

## Parameters

| Name         | Type         | Description                                                                                                                                                                                | Is Optional |
| ------------ | ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------- |
| aggregations | agg\_dict    | Dictionary of columns and aggregate functions to apply. A column can have a list of multiple aggregates applied. One column will be created for each column:aggregate pair.                |             |
| order\_by    | column\_list | Column(s) to order rows by when calculating the agg window                                                                                                                                 |             |
| offsets      | int\_list    | List of numeric values to offset the date column. Positive values apply a look-back window. Negative values apply a look-forward window. One column will be created for each offset value. |             |
| group\_by    | column\_list | Column(s) to group by when calculating the agg window                                                                                                                                      | True        |

## Example

```python
internet_sales = rasgo.get.dataset(74)

ds = internet_sales.rolling_agg(
      aggregations={
        'SALESAMOUNT':['MAX', 'MIN', 'SUM']
      },
      order_by=['ORDERDATE'],
      offsets=[-7, 7, 14],
      group_by=['PRODUCTKEY'],
  )

```

## Source Code

{% embed url="<https://github.com/rasgointelligence/RasgoTransforms/blob/main/rasgotransforms/rasgotransforms/transforms/rolling_agg/rolling_agg.sql>" %}


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