👉 In data science and machine learning, a "uncentrality" refers to the absence of any meaningful centrality measure within a dataset. In other words, it's like there's no central value or direction for the values in a dataset. This can happen due to several reasons:
1.
Missing Data
: If all the values are missing, then there's no way to calculate a meaningful centrality measure since there is no "center" (meaningful value) that represents the overall distribution