flourishcharts: 'Flourish' for 'R' and 'Python'

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:

Reference manual:	flourishcharts.pdf
Vignettes:	Setting up API keys (source) Creating Flourish graphs in R (source, R code)

Downloads:

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

Linking:

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