moai-lang-r

You can build a Shiny app in R by combining dplyr for data processing and ggplot2 for interactive plots. This Skill provides expert assistance for creating modular Shiny web applications with reactivity and modern R patterns.

The tidyverse approach in R uses packages like dplyr and tidyr for data manipulation. This Skill expertly handles data manipulation pipelines, functional programming with purrr, and visualization with ggplot2 using modern R 4.4+ features.

Yes, you can use this Skill for reproducible reports. It supports generating dynamic documents and reproducible reports with R Markdown and Quarto, ensuring robust data science workflows and best practices.

Yes, this Skill supports package management with renv and unit testing with testthat. It addresses complex R programming challenges and provides best practices for robust data science workflows.

To create a dynamic dashboard in R, use this Skill to build a Shiny app. It handles the complete pipeline including data processing with dplyr and creating interactive plots with ggplot2 for effective sales data visualization.

Modern tidyverse development requires R 4.4 or higher. This Skill leverages R 4.4+ features like native pipes and lambda syntax to provide expert assistance for data analysis pipelines and modern R patterns.