funkyheatmap: Visualising data frames with mixed data types
The {funkyheatmap} package offers a flexible and user-friendly solution for visualising data frames containing a mixture of categorical, proportional, and text-based data.It simplifies the creation of informative and visually appealing heatmaps while providing extensive customization options to tailor the output.This tool is especially valuable in research settings for summarising and communicating complex results, such as those encountered in benchmarking studies.The package is available on CRAN, PyPI, and npm.For a showcase of examples and an overview of the different implementations, visit the project website funkyheatmap.github.io.
Authors
- Artuur Couckuyt (ORCID: https://orcid.org/0000-0001-7858-6521)
- Yvan Saeys (ORCID: https://orcid.org/0000-0002-0415-1506)
- Robrecht Cannoodt (ORCID: https://orcid.org/0000-0003-3641-729X)
- Nikolay S. Markov (ORCID: https://orcid.org/0000-0002-3659-4387)
- Louise Deconinck (ORCID: https://orcid.org/0000-0001-8100-6823)
- Wouter Saelens (ORCID: https://orcid.org/0000-0002-7114-6248)
- Malte D. Luecken (ORCID: https://orcid.org/0000-0001-7464-7921)
- Luke Zappia (ORCID: https://orcid.org/0000-0001-7744-8565)
- Marta Interlandi (ORCID: https://orcid.org/0000-0002-6863-2552)
Institutions
- Northwestern University (US)
- University of Münster (DE)
- Helmholtz Zentrum München (DE)
- Ghent University (BE)
- German Center for Lung Research (DE)
- VIB-UGent Center for Inflammation Research (BE)
- Technical University of Munich (DE)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2025-04-11
- DOI
- https://doi.org/10.21105/joss.07698
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fonds Wetenschappelijk Onderzoek
- Universiteit Gent
- Vlaamse regering
- Bijzonder Onderzoeksfonds UGent