R Ladies Workshop - Functional Programming with Purrr
Details
Kick 2018 off on the right foot with R Ladies! Join us for our January Workshop for the return of Joyce Robbins, a Statistics Lecturer at Columbia and the host of R Ladies NYC's inaugural workshop on data vizualization. Joyce will walk through the powerful purrr package (purrr.tidyverse.org), a complete and coherent toolkit for working with functions and vectors in R .
About the speaker:
Joyce Robbins, Ph.D., is Lecturer in Discipline in the Statistics Department at Columbia University, where she specializes in data visualization. She is a member of the R Forwards (https://forwards.github.io/) (R Foundation taskforce on women and other under-represented groups) teaching team, and elected to serve as publications officer of the Statistical Graphics Section of the American Statistical Association Section beginning in 2018. Robbins received her doctorate in sociology from Columbia University, her M.A. in sociology and anthropology from Tel Aviv University and her B.S.E. in civil engineering and operations research from Princeton University.
We want to thank our generous sponsors, the Data Science Institute at Columbia University, for hosting us! About Columbia DSI:
The Data Science Institute at Columbia University (http://datascience.columbia.edu/) is training the next generation of data scientists and developing innovative technology to serve society. With over 250-affiliated faculty working in a wide range of disciplines, the Institute seeks to foster collaboration in advancing techniques to gather and interpret data, and to address the urgent problems facing society. The Institute works closely with industry to bring promising ideas to market.
• What to bring
Bring a charged computer with R (https://www.r-project.org/) and RStudio (https://www.rstudio.com/products/rstudio/download/) installed.
• Important to know
Detailed instructions on entering the building will be sent to registered participants before the event. Please take care to arrive as promptly as possible.