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DataExplorer: Automate Data Exploration and Treatment

Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.

Version: 0.8.3
Depends: R (≥ 3.6)
Imports: data.table (≥ 1.13.4), reshape2 (≥ 1.4.3), scales (≥ 1.1.0), ggplot2, gridExtra, rmarkdown (≥ 2.5), networkD3 (≥ 0.4), stats, utils, tools, parallel
Suggests: testthat, covr, knitr, jsonlite, nycflights13
Published: 2024-01-24
Author: Boxuan Cui [aut, cre]
Maintainer: Boxuan Cui <boxuancui at gmail.com>
BugReports: https://github.com/boxuancui/DataExplorer/issues
License: MIT + file LICENSE
URL: http://boxuancui.github.io/DataExplorer/
NeedsCompilation: no
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org
Language: en-US
Materials: README NEWS
CRAN checks: DataExplorer results

Documentation:

Reference manual: DataExplorer.pdf
Vignettes: Introduction to DataExplorer

Downloads:

Package source: DataExplorer_0.8.3.tar.gz
Windows binaries: r-devel: DataExplorer_0.8.3.zip, r-release: DataExplorer_0.8.3.zip, r-oldrel: DataExplorer_0.8.3.zip
macOS binaries: r-release (arm64): DataExplorer_0.8.3.tgz, r-oldrel (arm64): DataExplorer_0.8.3.tgz, r-release (x86_64): DataExplorer_0.8.3.tgz, r-oldrel (x86_64): DataExplorer_0.8.3.tgz
Old sources: DataExplorer archive

Reverse dependencies:

Reverse suggests: HVT

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DataExplorer 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.
Health stats visible at Monitor.