Journal 41
May 13 - May 19 This week the lectures and labs focused mostly on continuous variables, probability distributions, and visualization techniques. This week was really interesting, and actually quite fun because it felt like the point where statistics, mathematics, and programming all started coming together in a much more practical way. As someone with a degree in math, it was really interesting to see how theory from math courses translated over into actual exploratory data analysis workflows in the data science field. One of the biggest ideas from this week's learning was understanding how to visualize the distribution of data. We worked with density plots, histograms, and box plots, and I learned how each visualization emphasizes different aspects of the data, and which were better to use when. Density plots were especially interesting to me because they connect directly to concepts from probability theory and continuous distributions. In math, I learned about probability densi...