Learning Data Science, Day 2 – Functions, Categories, Types, and Analysis

So I broke up the initial section of Data Science into two parts because it got a little long. And while I was enjoying myself, I was like "oh man, people are going to have a hell of a time reading this". So after we've made the data table and figured out what it is, it's time to actually crunch the numbers! Data Science FunctionsThere are three functions commonly used in data science – max(), min(), and mean(). So if we take my Display Case data and want to find which is the biggest number... Case_figures_max = max(13, 0, 0, 0, 0, 0, 3, 3, 1, 1, 1, 1, 1) print (Case_figures_max) And I get 13, unsurprisingly. There are a lot of Star Wars figures in that case. (I am a sucker for cheap unwanted action figures, I can't help it. No one wants Space Jimmy Smits, so I have two. No one wants little Anakin, I will love him forever.) Then I can find the smallest value. Case_figures_min = min(13, 0, 0, 0, 0, 0, 3, 3, 1, 1, 1, 1, 1) print (Case_figures_min) Which gives me 0 because I pulled it…