This notebook shares some basic concepts that most R users utilize for their data science workflows

This workshop goes over how to build linear models, purrr nesting for many models, the broom package, and how to visualize your models once they've been generated

Tutorial output of Rmarkdown. This file is meant to go along with the Rmarkdown code, as the output is unhelpful in and of itself

This notebook is an introduction to the tools that you can use to make interesting and informative plots with the ggplot2 package. I made this notebook in about 2 days, so the visualizations aren't 'good,' but they demonstrate the variety of tools that you can use to make aesthetic, informative graphics. There are many more packages beyond ggplot2 to make amazing visuals with in R, but ggplot2 is the best place to start in my opinion

This is the R component of the TNDS 2021 workshop "Comparison across statistical languages." The included markdown document includes code and output corresponding to the workshop.

Intro in strategies and tools for visualizing data in R with base plotting, ggplot2, and gganimate