An Interview With Ron Pearson, author of Data Visualization in R

December 20, 2016

(This article was first published on DataCamp Blog, and kindly contributed to R-bloggers)

Hey R fans! A new episode of DataCamp’s DataChats video series is out! 

In this episode, we interview Ronald Pearson. Ron holds a Ph.D. in Electrical Engineering and Computer Science from M.I.T. and has written or co-written five books. Furthermore, he is the author and maintainer of the GoodmanKruskal R package, and one of the authors of the datarobot R package.

Together with Nick, Ron talks about his passion for exploratory data analysis, inliers (vs outliers), why he is so excited about the evolution of machine learning models and much more.

We hope that you enjoy watching this series and make sure you don’t to miss any of our upcoming episodes by subscribing to DataCamp’s YouTube channel!

To leave a comment for the author, please follow the link and comment on their blog: DataCamp Blog. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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