> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anlytic.com/llms.txt
> Use this file to discover all available pages before exploring further.

# CumulativeCorr

Calculates the cumulative correlation coefficient between two columns from the first row up to the current row within a partition.

**Category:** `window`

**Syntax:**

```
CumulativeCorr([column1], [column2])
```

**Returns:** `Float`

**Context Filtering:** ✓ Yes

## Parameters

| Name      | Type     | Required | Description                                           |
| --------- | -------- | -------- | ----------------------------------------------------- |
| `column1` | `column` | ✓ Yes    | The first numeric column for correlation calculation  |
| `column2` | `column` | ✓ Yes    | The second numeric column for correlation calculation |

**Allowed Column Types for `column1`:** INT, FLOAT, DECIMAL, NUMBER

**Allowed Column Types for `column2`:** INT, FLOAT, DECIMAL, NUMBER

## Validation

* Minimum parameters: 2
* Maximum parameters: 2

## Examples

```
CumulativeCorr([Sales], [Marketing_Spend])
```

Returns the running correlation between sales and marketing spend from the first row to the current row.

```
CumulativeCorr([Temperature], [Ice_Cream_Sales])
```

Calculates cumulative correlation to track how the relationship between temperature and ice cream sales evolves over time.

## Related Functions

* [Corr](../aggregate/corr) - Calculates overall correlation
* [MovingCorr](movingcorr) - Calculates moving correlation with a window
* [CumulativeAvg](cumulativeavg) - Calculates cumulative average