Werner Schuster talks to Martin Hadley, data scientist at University of Oxford. They discuss the state of the R language, the rich R ecosystem that covers development (RStudio), notebooks for publication (R Notebooks, RPubs), writing web apps (Shiny), and the pros/cons of the different data frames implementations. Why listen to this podcast: - R is the tool for working with rectangular data - Modern data frame implementations are Tibble and data.table (for large amounts of data) - RMarkdown and R Notebooks allow to explore data and then publish it the results and (interactive) visualization - Use Shinyapps to publish server side R applications - Tidyverse is the place to look for modern R packages More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2twOXWJ You can also subscribe to the InfoQ newsletter to receive weekly updates on the hotest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2twOXWJ

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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