A weekly data visualization challenge from the R4DS Online Learning Community.
TidyTuesday provides a safe and supportive forum for individuals to practice their data wrangling and visualization skills. While the dataset will be "tamed," it might need various
R for Data Sciencetechniques to achieve a truly tidy format.
More information available at the TidyTuesday GitHub repository.
A look at the R ecosystem I use to transform raw data into insights:
- Core:
tidyverse(dplyr, ggplot2, tidyr) for data manipulation and visualization. - Typography & Styling:
showtextfor custom fonts andggtextfor markdown-enhanced labels. - Layout:
patchworkfor multi-plot compositions andherefor robust file path management. - Formatting:
gluefor dynamic labeling and custom R scripts for summary visualizations.
Connect with me and see my latest work:
| Year | Status | Progress |
|---|---|---|
| 2025 | 🏁 Completed | 50 / 52 weeks |
| 2024 | 🏁 Completed | 46 / 52 weeks |
| 2023 | 🏁 Completed | 33 / 52 weeks |
| 2022 | 🏁 Completed | 35 / 52 weeks |
The heatmap below reflects my weekly consistency across the years.
