series_pearson_correlation()
Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel
Calculates the pearson correlation coefficient of two numeric series inputs.
See: Pearson correlation coefficient.
Syntax
series_pearson_correlation(series1, series2)
Learn more about syntax conventions.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
| series1, series2 | dynamic |
✔️ | The arrays of numeric values for calculating the correlation coefficient. |
Returns
The calculated Pearson correlation coefficient between the two inputs. Any non-numeric element or nonexisting element (arrays of different sizes) yields a null result.
Example
range s1 from 1 to 5 step 1
| extend s2 = 2 * s1 // Perfect correlation
| summarize s1 = make_list(s1), s2 = make_list(s2)
| extend correlation_coefficient = series_pearson_correlation(s1, s2)
Output
| s1 | s2 | correlation_coefficient |
|---|---|---|
| [1,2,3,4,5] | [2,4,6,8,10] | 1 |