June Choe | Cracking open ggplot internals with {ggtrace} | RStudio (2022)

The inner workings of {ggplot2} are difficult to grasp even for experienced users because its internal object-oriented (ggproto) system is hidden from user- facing functions, by design. This is exacerbated by the foreignness of ggproto itself, which remains the largest hurdle in the user-to-developer transition. However this needs not to be the case: ggplot internals have clear parallels to data wrangling, where data is passed between methods that take inputs and return outputs. Capitalizing on this connection, package {ggtrace} exposes the familiar functional programming logic of ggplot with functions that inspect, capture, or modify steps in a ggplot object's execution pipeline, enabling users to learn the internals through trial-and-error.
Talk materials are available at github.com/yju...
Session: Just typing R code: advanced R programming

[@mhkhusyairi]

This is an entertaining and enlightening presentation.

[@user-sb9oc3bm7u]

this guy is so smart he was even to make jokes while showing some of the more complicated concepts in R

[@sidewalkMCS]

Wonderful presentation! I now feel much more confident peeking into the internals of ggplot which I've loved for so long. Thank you!

[@ОлександрПотьомкін-н5т]

Wow
This deep, but not extremely deep dive into ggplots internals is soooo helpful and informative

[@mohamedrefaat197]

Beautiful!

[@chokunochokuno]

Amazing talk

[@CanDoSo_org]

Does not make any sense.