Hilary and Roger discuss using APIs in R, doing short-term contract data/software work, validating paranoia, and lessons learned from data analysis. Show Notes: <a href= "https://en.wikipedia.org/wiki/Year_2000_problem">Y2K</a> <a href= "https://en.wikipedia.org/wiki/Benford's_law">Benford’s Law</a> <a href="https://www.patreon.com/join/NSSDeviations" rel= "payment">Support us through our Patreon page</a> <a style= "font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://twitter.com/rdpeng">Roger on Twitter</a> <a href="https://twitter.com/hspter">Hilary on Twitter</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

127 - A Bottle Episode

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