Potpourri: Statistics #52

453. Here's why 2019 is a great year to start with R: A story of 10 year old R code then and now454. How the BBC Visual and Data Journalism team works with graphics in R455. Special Topics in Data Science: Responsible Data Science456. Causal Data Science457. From Psychologist to Data Scientist458. Causal Graphs Seminar459. R Coding Style Guide460. Explaining the 2016 Democratic Primary with Machine Learning461. A guide to making your data analysis more reproducible462. Exploring the multiplication table with R463. hcandersenr: An R Package for H.C. Andersens fairy tales464. ~~Solving the model representation problem with broom~~465. Basic Stata Syntax Workshop 466. Bayesian Logistic Regression using brms, Part 1467. Half a dozen frequentist and Bayesian ways to measure the difference in means in two groups468. Understanding propensity score weighting469. Causal Inference Book470. ~~15 new ideas and new tools for R gathered from the RStudio Conference 2019~~471. Keeping up to date with R news472. tidylog