"Data Science with R"

To do data science you need five sets of verbs: import, tidy, transform, visualise, and model. Importantly, you also need a way to connect these tools together so that your analysis flows from one step to another, without you beating your head against the wall. Wickham will discuss the idea of the pipe as it is implemented in R with the magrittr package, covering why the pipe makes code easier to read and how it provides a unifying interface throughout a complete workflow. Join us to learn how pipelines + tidyr, dplyr, ggplot2, and purrr can make data analyses fast, fluent and fun. Wickham is a passionate believer that code should be an artefact of clear communication, so even if you’ve never used R before, you’ll be able to follow this talk.

Hadley Wickham is chief scientist at RStudio, which provides the most widely used open source and enterprise-ready professional software for the R statistical computing environment. He is an adjunct professor of statistics at the University of Auckland and an adjunct assistant professor of statistics at Rice University. Wickham works to build tools (computational and cognitive) that make data science easier, faster, and more fun.

Events sponsored by computing & information services, the library, and the mathematics department with support from the Andrew W. Mellon Foundation.

Free and open to the public. Please arrive early to ensure seating.