Learning Data Science, Day 6 – Correlation

Today is mostly going to be taking an old Mac Mini I bought off of eBay and seeing if I can run Plex or Jellyfin on it (I'm hoping for Jellyfin, but it really depends on what I get when I turn it on), but, first! Correlation! Let's connect things and say that's what caused them! CorrelationA mathematical function can use the relationship between two variables to make a prediction. To go back to my books and bookshelves analogy, if I have five empty shelves that hold 100 books each and each bag at the discount bookshop holds 50 books, then I can use the number of empty shelves to predict how many bags I'm going to purchase. Correlation CoefficientThe correlation coefficient measures the relationship between the two variables. There's a hard rule to this coefficient though. It can never be less than -1 or higher than 1. If it's -1, there's a perfect negative linear relationship between the variables. If it's 0, there's no linear relationship. If it's 1, there's a perfect linear…