A guided activity to practice building univariate and multivariate linear regression models and how to perform model selection using k-fold cross-validation.
Continuation of web-scraping activity.
Interactive demo on how to use the rvest web-scraping tools.
Interactive demonstration showing how to apply the Tidy Data principles to a typical classroom gradebook.
Additional practice with the dplyr using vehicle towing data posted by the city of Chicago.
Continuation of the interactive demonstration of the major features found in the dplyr package.
Reading about how to use R to compute, visualize, and apply percentiles of a dataset.
Reading about how to connect probabilities with values in a dataset.
An interactive demonstration of the major features found in the dplyr package.
How to write about visualizations of univariate (one variable) and bivariate (two variables) data.
Practice editing RMarkdown files and saving to Github.