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Abstract

Hosted 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 Notes
2:39 – Hadley talks about his journey 

5:22 – Hadley talks about his American Statistical Association for "pivotal contributions to statistical practice"

8:00 – Tidy data concept

9:02 - How Hadley became interested in big data and R

10:12 – Python and R

12:30 – What Hadley is doing now

13:47 – Top 3 packages that help data scientists 

17:47 – Hadley discusses his book 

22:48 – Writing a book vs. code

29:40 – What language is going to take over

31:01 – What’s next for data

31:54 – What’s cool for Hadley

36:26 – Hadley’s Role model

Hadley Wickham’s books

Ggplot2

R for Data Science

Advanced R

R Packages

Hadley Wickham’s

Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.