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Lionel is a software developer at RStudio. He studied political science and statistics, developed a passion for writing R packages, and now assists Hadley in creating a rich data analysis framework.
Working with names and expressions in your tidy eval code - Lionel Henry
In practice there are two main flavors of tidy eval functions: functions that select columns, such as `dplyr::select()`, and functions that operate on columns, such as `dplyr::mutate()`.
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr.
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr. It enables tidyverse users to write reusable functions and pipeline wrappers.