SmartEDA: Summarize and Explore the Data

Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.

Version: 0.3.6
Depends: R (≥ 3.3.0)
Imports: ggplot2, sampling, scales, rmarkdown, ISLR (≥ 1.0), data.table, gridExtra, GGally
Suggests: psych, Hmisc, smbinning, testthat, knitr, covr
Published: 2020-07-10
Author: Dayanand Ubrangala [aut, cre], Kiran R [aut, ctb], Ravi Prasad Kondapalli [aut, ctb], Sayan Putatunda [aut, ctb]
Maintainer: Dayanand Ubrangala <daya6489 at gmail.com>
BugReports: https://github.com/daya6489/SmartEDA/issues
License: MIT + file LICENSE
URL: https://daya6489.github.io/SmartEDA/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SmartEDA results

Downloads:

Reference manual: SmartEDA.pdf
Vignettes: Custom summary statistics
Vignette Title Subtitle
Package source: SmartEDA_0.3.6.tar.gz
Windows binaries: r-devel: SmartEDA_0.3.6.zip, r-release: SmartEDA_0.3.5.zip, r-oldrel: SmartEDA_0.3.6.zip
macOS binaries: r-release: SmartEDA_0.3.5.tgz, r-oldrel: SmartEDA_0.3.6.tgz
Old sources: SmartEDA archive

Reverse dependencies:

Reverse imports: DriveML

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