– 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