Tidyplots empowers life scientists with easy code‐based data visualization
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 u...
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| Format: | Article |
| Language: | English |
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Wiley
2025-04-01
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| Series: | iMeta |
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| Online Access: | https://doi.org/10.1002/imt2.70018 |
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| _version_ | 1849726189676003328 |
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| author | Jan Broder Engler |
| author_facet | Jan Broder Engler |
| author_sort | Jan Broder Engler |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1f6dc2be0067439e823c02fbc034c018 |
| institution | DOAJ |
| issn | 2770-596X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | iMeta |
| spelling | doaj-art-1f6dc2be0067439e823c02fbc034c0182025-08-20T03:10:16ZengWileyiMeta2770-596X2025-04-0142n/an/a10.1002/imt2.70018Tidyplots empowers life scientists with easy code‐based data visualizationJan Broder Engler0Institut für Neuroimmunologie und Multiple Sklerose Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg‐Eppendorf Hamburg GermanyAbstract 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.https://doi.org/10.1002/imt2.70018data analysisdata sciencedata visualizationR packagetidyverse |
| spellingShingle | Jan Broder Engler Tidyplots empowers life scientists with easy code‐based data visualization iMeta data analysis data science data visualization R package tidyverse |
| title | Tidyplots empowers life scientists with easy code‐based data visualization |
| title_full | Tidyplots empowers life scientists with easy code‐based data visualization |
| title_fullStr | Tidyplots empowers life scientists with easy code‐based data visualization |
| title_full_unstemmed | Tidyplots empowers life scientists with easy code‐based data visualization |
| title_short | Tidyplots empowers life scientists with easy code‐based data visualization |
| title_sort | tidyplots empowers life scientists with easy code based data visualization |
| topic | data analysis data science data visualization R package tidyverse |
| url | https://doi.org/10.1002/imt2.70018 |
| work_keys_str_mv | AT janbroderengler tidyplotsempowerslifescientistswitheasycodebaseddatavisualization |