flourishcharts: 'Flourish' for 'R' and 'Python' (original) (raw)
Interactive data visualization for data practitioners. 'flourishcharts' allows users to visualize their data using 'Flourish' graphs that are grounded in data storytelling principles. Users can create racing bar & line charts, as well as other interactive elements commonly found in 'D3' graphics, easily in 'R' and 'Python'. The package relies on an enterprise API provided by 'Flourish', a data visualization platform <https://developers.flourish.studio/api/introduction/>.
| Version: | 1.0.0.3 |
|---|---|
| Depends: | R (≥ 4.00) |
| Imports: | htmlwidgets, htmltools, jsonlite, dplyr, httr, utils |
| Suggests: | testthat (≥ 3.2.0), knitr, rmarkdown, reticulate, tidyr, here |
| Published: | 2024-10-22 |
| DOI: | 10.32614/CRAN.package.flourishcharts |
| Author: | Zoe Meers [aut, trl, cre], Alex Sadleir [aut], Luisa Bider [aut], Flourish Studio (Canva UK Operations Ltd) [cph] |
| Maintainer: | Zoe Meers <zoe.m at canva.com> |
| BugReports: | https://github.com/canva-public/flourishcharts/issues |
| License: | MIT + file |
| URL: | https://www.canva.dev/opensource/flourish-charts/,https://github.com/canva-public/flourishcharts |
| NeedsCompilation: | no |
| Language: | en |
| Materials: | README NEWS |
| CRAN checks: | flourishcharts results |
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