Easter is the perfect season to stop and think. In my case this year I have been reflecting on the recent controversy of whether or not reducing meat consumption as recommended by the WHO has an effect on our health and the environment, and I could not help but connect with the concept of change and its derivatives.
Correlation is very often used within the initial exploratory stage when given a dataset, because of its ability to comb through pairs of variables and swiftly summarize whether they appear to be related or not.
Data analysts are often confronted with a seemingly difficult decision: to choose between a simple model or a more complex one. Discover more in this post in which Carlos del Cacho explains the unexplainable.