Getting started with k-means and #TidyTuesday employment status

This is the latest in my series of screencasts demonstrating how to use the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Today���s screencast uses the broom package to tidy output from k-means clustering, with this week���s #TidyTuesday dataset on employment and demographics.

Here is the code I used in the video, for those who prefer reading instead of or in addition to video.

Explore the data

Our modeling goal is to use k-means c...