A collection of highlights powered by mathematics, statistics, and a little bit of R magic: Mapping wind data with R, calculating the expected statistic in football, and how the vetiver package fits in an ML-Ops production flow using Docker and Plumber. Episode Links This week's curator: Jon Calder (@jonmcalder (https://twitter.com/jonmcalder)) Mapping wind data with R (https://milospopovic.net/mapping-wind-data-in-r/) Calculating and comparing expected points from different expected goals sources (soccer) (https://tonyelhabr.rbind.io/post/epl-xpts-simulation-1/) Use Docker to deploy a model for #TidyTuesday LEGO sets (https://juliasilge.com/blog/lego-sets/) Entire issue available at rweekly.org/2022-W37 (https://rweekly.org/2022-W37.html) Supplement Resources Julia Silge's YouTube Channel: https://www.youtube.com/c/JuliaSilge