Steven Sanderson has achieved normality:
Before we dive into the code, let’s understand the concept behind quantile normalization. At its core, quantile normalization aims to equalize the distributions of multiple datasets by aligning their quantiles. This ensures that each dataset has the same distribution of values, making meaningful comparisons possible.
This is a bit different from normalizing individual data points in one dataset, as you can see in the post.