AutoPlots: Creating Echarts Visualizations as Easy as Possible

Create beautiful and interactive visualizations in a single function call. The 'data.table' package is utilized to perform the data wrangling necessary to prepare your data for the plot types you wish to build, along with allowing fast processing for big data. There are two broad classes of plots available: standard plots and machine learning evaluation plots. There are lots of parameters available in each plot type function for customizing the plots (such as faceting) and data wrangling (such as variable transformations and aggregation).

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: combinat, data.table, dplyr, e1071, echarts4r, lubridate, nortest, quanteda, quanteda.textstats, scales, stats, utils
Suggests: spelling
Published: 2024-01-23
Author: Adrian Antico [aut, cre, cph]
Maintainer: Adrian Antico <adrianantico at gmail.com>
Contact: Adrian Antico
BugReports: https://github.com/AdrianAntico/AutoPlots/issues
License: AGPL (≥ 3)
URL: https://github.com/AdrianAntico/AutoPlots
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: AutoPlots results

Documentation:

Reference manual: AutoPlots.pdf

Downloads:

Package source: AutoPlots_1.0.0.tar.gz
Windows binaries: r-devel: AutoPlots_1.0.0.zip, r-release: AutoPlots_1.0.0.zip, r-oldrel: AutoPlots_1.0.0.zip
macOS binaries: r-release (arm64): AutoPlots_1.0.0.tgz, r-oldrel (arm64): AutoPlots_1.0.0.tgz, r-release (x86_64): AutoPlots_1.0.0.tgz

Linking:

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