– How To Read 2020 Polls Like A Pro
– Visualizing Complex Science 
– What is machine learning, and how does it work?
– Choosing Fonts for Your Data Visualization
– Why linear mixed-effects models are probably not the solution to your missing data problems
– Outstanding User Interfaces with Shiny
– How I Taught Tidymodels, Virtually
– How your colorblind and colorweak readers see your colors
– Graphic Content: How Visualizing Data Is a Life-or-Death Matter
– How to Create Brand Colors for Data Visualization Style Guidelines
– The R package workflow
– Introducing Modeltime: Tidy Time Series Forecasting using Tidymodels
– Tidy Geospatial Networks in R
– PCA with Age of Empires II data
– A practical guide to geospatial interpolation with R
– Oh my GOSH: Calculating all possible meta-analysis study combinations
– Rating children’s books with empirical Bayes estimation
– Normalizing and rescaling children’s book ratings
– Tips from an R Journalist
– How to improve your R package
– A very short introduction to Tidyverse
– purrr: Introduction and Application
– Supervised Machine Learning for Text Analysis in R
– 4 Tips to Make Your Shiny Dashboard Faster
– How I share knowledge around R Markdown
– Teaching Statistics and Data Science Online
– a ggplot2 grammar guide
– Five Tidyverse Tricks You May Not Know About
– How to build a Tufte-style weather graph in R using ggplot2