R User Group – Nueva Vizcaya State University (RNVSU)

Learn about how to wrangle data with the tidyverse package.

Data visualization is a crucial tool for understanding and communicating experimental findings, yet complex plotting syntax often creates a steep barrier for beginners and can even distract experienced users from meaningful data exploration. tidyplots addresses this challenge by offering a clean, code-based interface for creating customizable, polished plots. Its consistent and intuitive syntax makes it easy to build automated data visualization pipelines without requiring deep programming expertise.

In this talk, we'll explore the concept behind tidyplots, walk through its available functions, and dive into live coding on common plotting tasks.

To follow along, make sure you have tidyverse and tidyplots installed beforehand. See you there!

Learn how to build machine learning and statistical models in R using tidymodels. Tidymodels is a a collection of packages designed for modeling and machine learning with tidy data principles. This talk cover just the basics of what tidymodels has to offer, Giving you a great starting point to explore further for your individual needs.

Join us for a virtual, hands-on workshop on Quarto, a tool for creating reproducible documents, reports, and dashboards with R, Python, and more. The next-generation of R Markdown, Quarto makes it easy to combine code, narrative, and results into polished, shareable outputs. In this session, you’ll learn the basics of getting started, explore common workflows, and see how Quarto can help you create clear, reproducible work for the web, presentations, and more.