moai-lang-r

You can build a Shiny app to visualize data by leveraging R 4.4+ features and ggplot2. This Skill provides modern R patterns for creating interactive dashboards and web applications directly from your analysis scripts.

The best way to manage R dependencies for reproducible workflows is using renv. This Skill integrates renv to ensure robust package management, locking project environments so your data transformations and visualizations remain consistent.

Yes, this Skill supports modern R features like native pipes and lambda syntax. It leverages R 4.4+ capabilities to streamline data manipulation and visualization tasks within your tidyverse data analysis pipelines.

Yes, you can use Quarto and R Markdown for reporting alongside tidyverse data manipulation. This Skill supports integrating these tools to generate reproducible reports from your dplyr and purrr data transformation workflows.

You create complex data transformations using dplyr and the tidyverse by applying modern R 4.4+ patterns. This Skill specializes in building efficient data analysis pipelines using dplyr, purrr, and native pipe syntax for robust data manipulation.