We have Hadley Wickham on the show, Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University and the University of Auckland.

Hadley created a number of hugely popular libraries for the R language, including ggplot2, which is used throughout the world to analyze and present data.

On the show we talk about his creative process to develop ggplot2, its growing popularity, other libraries he has built in the R ecosystem, and strategies for creating popular software for data analysis and visualization.

Enjoy listening to Hadley Wickham, or read the transcript from our interview here!

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LINKS

• Project Ukko: http://www.project-ukko.net/
• Hadley Wickham: http://hadley.nz/ | https://github.com/hadley/
• ggplot2: http://ggplot2.org/
• ggplot extensions: http://ggplot2-exts.github.io
• Hadley’s R packages for data analysis (ggplot2, plyr, reshape2)
• R: https://www.r-project.org/
• tidyr: http://blog.rstudio.org/2014/07/22/introducing-tidyr/
• Visualizing travel data with TripIt: https://www.tripit.com/
• RStudio Shiny (interactive web graphics with R): http://shiny.rstudio.com/
• Functional Reactive Programming: https://en.wikipedia.org/wiki/Functional_reactive_programming
• Beautiful data visualization done with ggplot2: http://spatial.ly/2014/09/london-information-capital/
• Mike LaCour’s scandalous graphs (clearly done with ggplot2): http://science.sciencemag.org/content/346/6215/1366.full
• Wilkinson’s The Grammar of Graphics: http://www.amazon.com/The-Grammar-Graphics-Statistics-Computing/dp/0387245448
• Tableau: http://www.tableau.com/
• d3.js: http://d3js.org/
• ggvis and shiny: http://ggvis.rstudio.com/ | http://shiny.rstudio.com/
• R tutorials:
  • https://www.datacamp.com/
  • https://www.coursera.org/learn/r-programming
  • http://swirlstats.com/