1138. The list of 2021 visualization lists

1139. ML and NLP Research Highlights of 2021

1140. Regression and Other Stories

1141. Causal Inference for The Brave and True

1142. Quantifying causality in data science with quasi-experiments

1143. An Introduction to Linear Mixed-Effects Modeling in R

1144. The Science of Visual Data Communication: What Works

1145. Database of slaveholding members of Congress

1146. Null-hacking, a lurking problem

1147. Choosing the Estimand When Matching or Weighting in Observational Studies

1148. dyadicdist: Get dyadic distances in R

1149. A guide to modeling proportions with Bayesian beta and zero-inflated beta regression models

1150. A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models

1151. A guide to working with country-year panel data and Bayesian multilevel models

1152. How to use Bayesian propensity scores and inverse probability weights

1153. My Machine Learning Process (Mistakes Included)

1154. Data quality of platforms and panels for online behavioral research

1155. ~~Do No Harm Guide: Applying Equity Awareness in Data Visualization~~

1156. STAT 447: Data Science Programming Methods

1157. The Hitchhiker’s Guide to Responsible Machine Learning

1158. Report Ready PDF tables with rmarkdown, knitr, kableExtra, and LaTeX

1159. Understanding the native R pipe |>

1160. Rich Iannone || Making Beautiful Tables with {gt}

1161. R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code

1162. Recreating the New York Times COVID-19 Spiral Graph

1163. Circular Visualization in R

1164. It’s time for a more sophisticated color contrast check for data visualizations

1165. Fast geospatial tasks with data.table, geos & co.

1166. R Function A Day

1167. Psychology 6135: Psychology of Data Visualization

1168. Using databases with Shiny

1169. Matrix Multiplication

1170. Visualize Data on Spirals

1171. Creating basic psychometric summaries in R

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