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Discover how functional programming boosts reproducibility, simplifies testing, and delivers value in pharmaceutical research and data-driven industries.
Step beyond traditional data analysis with Shiny and Quarto, and transform your clinical data into interactive reports with powerful insights.
Learn from practical examples how R's functional programming approach outperforms traditional methods in simplifying data analysis.
Delve into key concepts of functional programming in R and how it enhances data analysis and operational efficiency.
Explore the world of functional programming, its technical and operational advantages, and the reasons behind its recent resurgence.
A guide to visualizing genomics data with Gosling (gosling.js) and R Shiny (shiny.gosling).
Useful tips for mastering RStudio Workbench and RStudio Desktop
Data validation in any data science project is vital for ensuring clean, well-formatted data ready for ML models and dashboards.
