Abstract
Code-based data visualization is a crucial tool for understanding and communicating experimental findings while ensuring scalability and reproducibility. However, complex programming interfaces pose a significant barrier for life scientists. To address this challenge, tidyplots provides a user-friendly code-based interface for creating customizable and insightful plots. With its consistent and intuitive syntax, tidyplots empowers researchers to leverage automated data visualization pipelines while minimizing required programming skills.
Tidyplots is available on CRAN at https://CRAN.R-project.org/package=tidyplots and GitHub at https://github.com/jbengler/tidyplots. The full documentation is available at https://tidyplots.org.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
Links to CRAN, GitHub and documentation were added to the abstract.
