From idea to code to image: Creative data visualizations in R
summary
Shows that creative, publication‑ready visuals come from R and ggplot2 plus extensions and practical hacks, not magic; reproduces a 3D effect and a Eurovision scoreboard with ggplot, converts a beeswarm into tiled album‑cover images using ggplot_build, and experiments with ggcirclepack and unconventional uses of geoms like geom_point as drawing tools. Argues creative plots increase engagement, recommends TidyTuesday for practice, non‑default fonts and palettes, making two versions when risky, and admits many experiments fail but useful learning persists.
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