Abstract: 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. In this talk, I discuss the idea of the pipe as it is implemented in R with the magrittr package. You’ll learn why the pipe makes your code easier to read, and see how it provides a unifying interface throughout your complete workflow.
Come along to learn about why I think pipelines are awesome and see how pipelines + tidyr, dplyr, ggplot2, and purrr can make your data analyses fast, fluent and fun. I’m 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.
Time: 630-8 pm, Doors open at 6 pm
Location: Eliot Chapel, on the 3rd floor of Eliot Hall.
Parking: Parking on Reed campus is free. The North Parking, West Parking, and East Parking lots are all equidistant from Eliot Hall, which lies near the center of campus. Campus map ( https://www.reed.edu/facilities_services/reed_static_map.html )