R Weekly Highlights Issue 2025-W07 Highlights
Feb 14, 2025
Discover tips for mastering monochrome visualizations and explore unique features of Scotland's census data processing. Learn about the transformative impact of a new mobile app that integrates R into various industries and education. Dive into essential strategies for cleaning messy data, including practical tools like Vroom and data.table. Finally, gain insights on managing the lifecycle of R packages and the importance of community collaboration in the R ecosystem.
AI Snips
Chapters
Transcript
Episode notes
Monochrome Conversion
- Avoid directly converting color visualizations to black and white using printer settings.
- This often loses nuance and makes distinguishing categories difficult, especially with similar saturations.
Design for Monochrome
- Design visualizations with monochrome in mind from the start.
- Choose colors that remain distinguishable when converted to grayscale using tools like GGplot2's
scale_gray.
Use Patterns
- Use patterns instead of color in monochrome visualizations to distinguish categories.
- Explore packages like
ggpatternandfillpatternfor adding textures and shapes.