This week, Ellis Hughes and I begin by working through the code that Natalie O’Shea created to show Kenyan Census data from this week’s TidyTuesday data set. It was an interesting plot because instead of the common network visual of lines and nodes, she plotted circles nested within circles.
After that, we continue working on NHL data by scraping the salaries of skaters and goalies and explore the relationship between team spending and wins using logistic regression (NOTE: we discussed a lot of the ins and outs of logistic regression in TidyX 29).
To watch the screen cast, CLICK HERE.
To access our code, CLICK HERE.