Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Hadley Wickham is Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He builds tools that make data science easier and faster, including the famous tidy verse packages for the R programming language. He was named a Fellow by the American Statistical Association for "pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing". Show Notes2:39 – Hadley talks about his journey 5:22 – Hadley talks about his American Statistical Association for "pivotal contributions to statistical practice"8:00 – Tidy data concept9:02 - How Hadley became interested in big data and R10:12 – Python and R12:30 – What Hadley is doing now13:47 – Top 3 packages that help data scientists 17:47 – Hadley discusses his book 22:48 – Writing a book vs. code29:40 – What language is going to take over31:01 – What’s next for data31:54 – What’s cool for Hadley36:26 – Hadley’s Role modelHadley Wickham’s booksGgplot2R for Data ScienceAdvanced RR PackagesHadley Wickham’s BlogHadley Wickham’s LinkedInHadley Wickham’s Twitter RStudio BlogConnect with the TeamProducer Kate Brown -