Here is how to use Box-Cox transform on Exploratory.

For this, I found this answer on stackoverflow useful. Here I’m basically reproducing this on Exploratory.

Here is how the data we want to apply Box-Cox transform look like.

On Table View:

On Summary View:

Here is the script I borrowed from the stackoverflow answer. Define this function in a Script.

powerTransform <- function(y, lambda1, lambda2 = NULL, method = "boxcox") {

  boxcoxTrans <- function(x, lam1, lam2 = NULL) {

    # if we set lambda2 to zero, it becomes the one parameter transformation
    lam2 <- ifelse(is.null(lam2), 0, lam2)

    if (lam1 == 0L) {
      log(y + lam2)
    } else {
      (((y + lam2)^lam1) - 1) / lam1

         , boxcox = boxcoxTrans(y, lambda1, lambda2)
         , tukey = y^lambda1

Here is detail on how to create a Script.

I’m skipping on how to figure out the right value on lambda, but for this data, it’s 0.4242424.

In this case, we can add a mutate step that looks like this to apply Box-Cox transformation on y.

y_transformed column is added.

Here is how it looks on Summary View, where we can see it is distributed more normally.