| Excerpt |
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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.
| D lang syntax |
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| RawWrangle | true |
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| Type | ref |
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| showNote | true |
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| WrangleText | pivot value:stdev(initialInvestment,ROI) |
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correl(initialInvestment,ROI) |
Output: Returns the correlation coefficient between the values in the initialInvestment column and the ROI column.
| D lang syntax |
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| RawWrangle | true |
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| Type | syntax |
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| showNote | true |
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| WrangleText | pivot value:correl(function_col_ref1,function_col_ref2) [group:group_col_ref] [limit:limit_count] |
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correl(function_col_ref1,function_col_ref2) [group:group_col_ref] [limit:limit_count] |
| Argument | Required? | Data Type | Description |
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| 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
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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 |
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| Yes | String (column reference) | myInputs |
| Include Page |
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| EXAMPLE - Two-Column Statistical Functions |
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| EXAMPLE - Two-Column Statistical Functions |
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