# Potpourri: Statistics #52

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

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

– Special Topics in Data Science: Responsible Data Science

– Causal Data Science

– From Psychologist to Data Scientist

– Causal Graphs Seminar

– R Coding Style Guide

– Explaining the 2016 Democratic Primary with Machine Learning

– A guide to making your data analysis more reproducible

– Exploring the multiplication table with R

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

– Solving the model representation problem with broom

– Basic Stata Syntax Workshop

– Bayesian Logistic Regression using brms, Part 1

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

– Understanding propensity score weighting

– Causal Inference Book

– 15 new ideas and new tools for R gathered from the RStudio Conference 2019

– Keeping up to date with R news

– tidylog