2024/11/10 by Jan Broder Engler · 1 voice · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Data Analysis with R #Genetics, Bioinformatics, and Biomedical Research #Scientific Computing and Data Management
paper · pdf · doi:10.1101/2024.11.08.621836
openalex publication_date 2024/11/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
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 .