The latest news from rOpenSci, creating ggplot2 postcards with ggirl, and an introduction to process mining in R Episode Links This week's curator: Jon Calder (@jonmcalder (https://twitter.com/jonmcalder)) rOpenSci News Digest, April 2021 (https://ropensci.org/blog/2021/04/16/latest-ropensci-news-digest/) {ggirl} 1.0.1 (https://jnolis.com/blog/introducing_ggirl/): An R package that lets you make ggplots in real life Process Mining in 10 minutes with R (https://medium.com/process-mining-and-analytics/process-mining-in-10-minutes-with-r-1ab28ed74e81) Entire issue available at rweekly.org/2021-W16 (https://rweekly.org/2021-W16.html) Supplemental Resources rOpenSci Software Peer Review (https://ropensci.org/software-review) {dataspice} package peer review GH isssue (https://github.com/ropensci/software-review/issues/426) {brochure} (https://github.com/ColinFay/brochure): Natively multipage Shiny apps What Process Mining Is, and Why Companies Should Do It (https://hbr.org/2019/04/what-process-mining-is-and-why-companies-should-do-it) {bupaR} (https://www.bupar.net): Business process analysis in R