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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=flourishcharts to link to this page.
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