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: 0.8.0
Depends: R (≥ 3.4)
Imports: data.table (≥ 1.11), reshape2 (≥ 1.4), scales (≥ 1.0), ggplot2 (≥ 2.2), gridExtra (≥ 2.3), rmarkdown (≥ 1.10), networkD3 (≥ 0.4), stats, utils, tools, parallel
Suggests: testthat, covr, knitr, jsonlite, nycflights13
Published: 2019-03-17
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
Materials: README NEWS
CRAN checks: DataExplorer results

Downloads:

Reference manual: DataExplorer.pdf
Vignettes: Introduction to DataExplorer
Package source: DataExplorer_0.8.0.tar.gz
Windows binaries: r-devel: DataExplorer_0.7.0.zip, r-release: DataExplorer_0.7.0.zip, r-oldrel: DataExplorer_0.7.0.zip
OS X binaries: r-release: DataExplorer_0.7.0.tgz, r-oldrel: DataExplorer_0.7.0.tgz
Old sources: DataExplorer archive

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