series_pearson_correlation()
Calculates the pearson correlation coefficient of two numeric series inputs.
See: Pearson correlation coefficient.
Syntax
series_pearson_correlation(Series1, Series2)
Arguments
- Series1, Series2: Input numeric arrays for calculating the correlation coefficient. All arguments must be dynamic arrays of the same length.
Returns
The calculated Pearson correlation coefficient between the two inputs. Any non-numeric element or non-existing 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)
| s1 | s2 | correlation_coefficient |
|---|---|---|
| [1,2,3,4,5] | [2,4,6,8,10] | 1 |
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