453. Here’s why 2019 is a great year to start with R: A story of 10 year old R code then and now

454. How the BBC Visual and Data Journalism team works with graphics in R

455. Special Topics in Data Science: Responsible Data Science

456. Causal Data Science

457. From Psychologist to Data Scientist

458. Causal Graphs Seminar

459. R Coding Style Guide

460. Explaining the 2016 Democratic Primary with Machine Learning

461. A guide to making your data analysis more reproducible

462. Exploring the multiplication table with R

463. hcandersenr: An R Package for H.C. Andersens fairy tales

464. ~~Solving the model representation problem with broom~~

465. ~~Basic Stata Syntax Workshop~~

466. Bayesian Logistic Regression using brms, Part 1

467. Half a dozen frequentist and Bayesian ways to measure the difference in means in two groups

468. Understanding propensity score weighting

469. Causal Inference Book

470. ~~15 new ideas and new tools for R gathered from the RStudio Conference 2019~~

471. Keeping up to date with R news

472. tidylog