Johnson transformation is located under Model Studio > Statistical Analysis > Johnson Transformation. on the left task pane. Use the drag-and-drop method (or double-click on the node) to use the algorithm in the canvas. Click the algorithm to view and select different properties for analysis.
The following figure shows the properties of Johnson Transformation.
The table below describes the properties of Johnson's transformation.
Field | Description | Remark |
Run | It allows you to run the node. | - |
Explore | It allows you to explore the successfully executed node. | - |
Vertical Ellipses | The available options are
| - |
Task Name | It is the name of the task selected on the workbook canvas. | You can click the text field to edit or modify the task name as required. |
Feature | It allows you to select a numerical column. | Only one numerical column can be selected. |
Advanced | ||
Lambda | It allows you to enter a specific. It transforms all the values in the selected column using the entered value of lambda. |
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Alpha | It allows you to enter the Alpha value, a significance level. |
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Node Configuration | It allows you to select the instance of the AWS server to provide control over the execution of a task in a workbook or workflow. | For more details, refer to worker node configuration |
We consider the credit card balance dataset. It contains numerical columns Age, balance, cards, and so on. We select the Age column for Johnson transformation.
The result of the Johnson transformation is displayed in the figure below.
Section | Description |
Shapiro Wilk test of normality | It shows the test statistics for the Shapiro-Wilk test for normality and tells whether Johnson's transformation is required. |
Lambda | It is the value of lambda for which the distribution of data is normal after transformation. |
Probability plot | It shows the QQ Plot before and after the Johnson transformation. |