Grow your data science skills at posit::conf(2024)

August 12th-14th in Seattle

The “tidy eval” framework is implemented in the rlang package and is rolling out in packages across the Tidyverse and beyond. There is a lively conversation these days, as people come to terms with tidy eval and share their struggles and successes with the community. Why is this such a big deal? For starters, never before have so many people engaged with R’s lazy evaluation model and been encouraged and/or required to manipulate it. I’ll cover some background fundamentals that provide the rationale for tidy eval and that equip you to get the most from other talks.

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