– The list of 2021 visualization lists

– ML and NLP Research Highlights of 2021

– Regression and Other Stories

– Causal Inference for The Brave and True

– Quantifying causality in data science with quasi-experiments

– An Introduction to Linear Mixed-Effects Modeling in R

– The Science of Visual Data Communication: What Works

– Database of slaveholding members of Congress

– Null-hacking, a lurking problem

– Choosing the Estimand When Matching or Weighting in Observational Studies

– dyadicdist: Get dyadic distances in R

– A guide to modeling proportions with Bayesian beta and zero-inflated beta regression models

– A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models

– A guide to working with country-year panel data and Bayesian multilevel models

– How to use Bayesian propensity scores and inverse probability weights

– My Machine Learning Process (Mistakes Included)

– Data quality of platforms and panels for online behavioral research

– Do No Harm Guide: Applying Equity Awareness in Data Visualization

– STAT 447: Data Science Programming Methods

– The Hitchhiker’s Guide to Responsible Machine Learning

– Report Ready PDF tables with rmarkdown, knitr, kableExtra, and LaTeX

– Understanding the native R pipe |>

– Rich Iannone || Making Beautiful Tables with {gt}

– R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code

– Recreating the New York Times COVID-19 Spiral Graph

– Circular Visualization in R

– It’s time for a more sophisticated color contrast check for data visualizations

– Fast geospatial tasks with data.table, geos & co.

– R Function A Day

– Psychology 6135: Psychology of Data Visualization

– Using databases with Shiny

– Matrix Multiplication

– Visualize Data on Spirals

– Creating basic psychometric summaries in R

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