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

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