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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 |
DOI: | 10.32614/CRAN.package.AutoPlots |
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 |
Reference manual: | AutoPlots.pdf |
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, r-oldrel (x86_64): AutoPlots_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=AutoPlots to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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