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Creating new variables or modifying existing columns by applying functions to the dataset.
Distinct from Data Mutation Hooks: Distinct from Data Mutation Hooks: targets the functional creation of new computed columns rather than intercepting database persistence payloads.
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dplyr is an R data manipulation library that provides a grammar for transforming tabular data frames. It functions as an in-memory data frame processor and a relational data algebra tool, using a consistent set of verbs to filter, select, and summarize data. The project includes a SQL translation engine that converts high-level data manipulation expressions into optimized queries. This allows users to perform transformations directly on remote relational databases and cloud storage without pulling data locally. The library covers a broad range of tabular operations, including column mutation
Creates new variables or modifies existing columns by applying functions to the current dataset.