Tidyplots empowers life scientists with easy code-based data visualization

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<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://CRAN.R-project.org/package=tidyplots">https://CRAN.R-project.org/package=tidyplots</ext-link>and GitHub at<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://github.com/jbengler/tidyplots">https://github.com/jbengler/tidyplots</ext-link>. The full documentation is available at<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://tidyplots.org">https://tidyplots.org</ext-link>.