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Computes the correlation coefficient between two columns. Source values can be of Integer or Decimal type.

The correlation coefficient measures the relationship between two sets of values. You can use it as a measurement for how changes in one value affect changes in the other.

Values range between -1 (negative correlation) and +1 (positive correlation).
- Negative correlation means that the second number tends to decrease when the first number increases.
- Positive correlation means that the second number tends to increase when the first number increases.
- A correlation coefficient that is close to 0 indicates a weak or non-existent correlation.

correl(initialInvestment,ROI)

Output: Returns the correlation coefficient between the values in the initialInvestment column and the ROI column.

correl(function_col_ref1,function_col_ref2) [group:group_col_ref] [limit:limit_count]

Argument	Required?	Data Type	Description
function_col_ref1	Y	string	Name of column that is the first input to the function
function_col_ref2	Y	string	Name of column that is the second input to the function

For more information on the group and limit parameters, see Pivot Transform.

function_col_ref1, function_col_ref2

Name of the column the values of which you want to calculate the correlation. Column must contain Integer or Decimal values.

Literal values are not supported as inputs.
Multiple columns and wildcards are not supported.

Required?	Data Type	Example Value
Yes	String (column reference)	`myInputs`