Hilary and Roger reflect on rstudio::conf(2022) and follow up on assumptions vs. constraints for statistical methods.   Show Notes: <a href="https://openintro-ims.netlify.app">Introduction to Modern Statistics</a> <a href="https://www.patreon.com/NSSDeviations">Support us on Patreon</a> <a href="https://twitter.com/rdpeng">Roger on Twitter</a> <a href="https://twitter.com/hspter">Hilary on Twitter</a> <a href="https://rdpeng.org/nssdeviations/">List of NSSD Fellows</a> <a href= "https://leanpub.com/conversationsondatascience/">Get the Not So Standard Deviations book</a> <a href= "https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570"> Subscribe to the podcast on Apple Podcasts</a> <a href= "https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna"> Subscribe to the podcast on Google Play</a> <a href="http://nssdeviations.com">Find past episodes</a> Contact us at nssdeviations @ gmail.com Podcast art by Jessica Crowell

164 - What is Data Science?

Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.