– 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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