The ability to visualize and make conclusions about data is quickly becoming an essential skill for developers. Whether working with performance data or domain-specific datasets, we need tools to help us explore the data and iterate quickly, as opposed to tools that focus primarily on presentation, as web-based tools often do.

Have you ever needed to measure the performance impact of a patch in core or on your site? Did you average the response times or use the "mean" column in ab? If so, attend this session to find out why that will result in incorrect inferences!

In this session I'll introduce the R environment for statistical programming, as well as the best packages to get started with tidying, manipulating, and visualizing your data. I'll also cover techniques to use and avoid when working with latency datasets.