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 LICENSE |
| 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 |
| Reference manual: | flourishcharts.pdf |
| Vignettes: |
Setting up API keys (source) Creating Flourish graphs in R (source, R code) |
| Package source: | flourishcharts_1.0.0.3.tar.gz |
| Windows binaries: | r-devel: flourishcharts_1.0.0.3.zip, r-release: flourishcharts_1.0.0.3.zip, r-oldrel: flourishcharts_1.0.0.3.zip |
| macOS binaries: | r-release (arm64): flourishcharts_1.0.0.3.tgz, r-oldrel (arm64): flourishcharts_1.0.0.3.tgz, r-release (x86_64): flourishcharts_1.0.0.3.tgz, r-oldrel (x86_64): flourishcharts_1.0.0.3.tgz |
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