Skip to content
R for the Rest of Us Logo

Resources

This carefully curated collection of resources will help you find packages and learning resources to help you on your R journey.

Adding alt text to figures in quarto with Claude Code

The blog post describes a new workflow for adding alternative (alt) text to figures in Quarto documents, leveraging Claude Code, to make the process less tedious and more manageable. It emphasizes the importance of thoughtful alt text creation, details how Quarto's features can be used to extract figure details, and introduces a custom slash command for Claude Code to assist in writing alt text. This command uses Amy Cesal's formula, combining chart type, data description, and key insight into the alt text, utilizing source code and prose context for accurate and informative descriptions.

Go to Resource

FakeDataR

FakeDataR is an R package designed for locally generating synthetic copies of real datasets, thereby enhancing privacy and enabling secure data sharing without exposing sensitive information. It preserves the original structure, including schema, types, factor levels, numeric ranges, and missingness, while offering heuristics for masking sensitive fields. The package supports direct integration with R for seamless LLM workflows and reproducible examples. It comes with features like bundled exports for easy sharing and database schema compatibility for data synthesis. Use FakeDataR when needing shape-consistent synthetic data while avoiding privacy breaches, not for formal privacy guarantees or statistical benchmarks.

Go to Resource

How to make your data analysis life easier using Positron, Raycast, and Espanso

Andrew Heiss discusses the Positron settings and tools he leverages to streamline his data analysis workflow. He shares a highlight of his favorite Positron extensions, such as Air, Better Comments, and Rainbow CSV, and delves into his custom settings for Positron, including editor preferences like font and whitespace handling, version control with Git signing, and various settings to improve the user interface and functionality. Andrew's tips aim to help others in the data science field optimize their setup for efficiency and ease of use.

Go to Resource