Learning a new language (programming or human!) is hard work, but for data science, it pays off by giving you the ability to reproduce your analyses and to automate repetitive tasks
In this talk, Hadley will discuss R as a language, a medium of communication between you and the computer, and you and other programmers. Communication is easiest if you have a shared vocabulary and commonon grammar. To that end, he'll discuss some of his work which build common idioms not just within a package, but across many packages.
Hadley Wickham (@hadleywickham) is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz.
Ken Benoit (@kenbenoit) is Professor of Quantitative Social Research Methods and currently Head of the Department of Methodology as well as Director of SEDS. He received his PhD in political science with a specialisation in statistical methods from Harvard University, Department of Government.
SEDS (@SEDS_LSE) is a new interdisciplinary research unit established to foster the study of data science and new forms of data with a focus on its social, economic, and political aspects.
Twitter Hashtag for this event: #LSEWickham