Tidyverse

Specific best practices and architectural patterns when working with Tidyverse.

Language / Topic

Rules

Tidyverse · balanced balanced

- Data manipulation correctly executing `dplyr` verbs (like `filter`, `mutate`, `select`) chained using the `%>%` or `|>` pipe operator.

- Clean dataset shapes definitively leveraging `tidyr` functions like `pivot_longer` instead of manual nested loop transformations.

- Read tabular data perfectly implicitly executing `readr::read_csv()` natively bypassing slower Base R implementations.

- Format nested dataset operations explicitly integrating `purrr::map()` securely replacing cumbersome `lapply` structural logic.