Litcius/Paper detail

Tidyplots empowers life scientists with easy code‐based data visualization

Jan Broder Engler

2025iMeta45 citationsDOIOpen Access PDF

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.

Topics & Concepts

Computer scienceVisualizationLeverage (statistics)Human–computer interactionData visualizationCode (set theory)SyntaxApplication programming interfaceProgramming languageInterface (matter)Program codeScalabilitySoftware engineeringData scienceDatabaseData miningArtificial intelligenceMaximum bubble pressure methodParallel computingBubbleSet (abstract data type)Genomics and Phylogenetic StudiesScientific Computing and Data ManagementGene expression and cancer classification