Exercise

Yeo-Johnson transformations

You have previously transformed variables using the Box-Cox transformation. The Yeo-Johnson transformation is similar but can handle a wider range of variable types. For example, the bank marketing dataset bank_df contains several numeric variables that contain zero as well as both positive and negative values that are used to determine if a banking client will enroll in term deposits. Two variables collected are the yearly average balance of an individual balance and how long a customer is spoken to by a marketing agent duration, measured in seconds.

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Select the balance and duration variables into bank_vars.

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