explore: Simplifies Exploratory Data Analysis

Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.

Version: 1.3.1
Depends: R (≥ 3.5.0)
Imports: cli, dplyr (≥ 1.1.0), DT (≥ 0.3.0), forcats (≥ 1.0.0), ggplot2 (≥ 3.4.0), grDevices, gridExtra, magrittr, palmerpenguins, plotly, rlang (≥ 1.1.0), rmarkdown, rpart, rpart.plot, shiny, stats, stringr, tibble
Suggests: knitr, MASS, randomForest, xgboost, testthat (≥ 3.0.0)
Published: 2024-06-07
DOI: 10.32614/CRAN.package.explore
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser at gmail.com>
BugReports: https://github.com/rolkra/explore/issues
License: MIT + file LICENSE
URL: https://rolkra.github.io/explore/, https://github.com/rolkra/explore
NeedsCompilation: no
Materials: README NEWS
CRAN checks: explore results

Documentation:

Reference manual: explore.pdf
Vignettes: A/B test
Clean / Drop
Data
Describe
Explain
Explore mtcars
Explore penguins
Explore titanic
explore
Predict
Report target
Report target%
Report variables
Tips & tricks

Downloads:

Package source: explore_1.3.1.tar.gz
Windows binaries: r-devel: explore_1.3.1.zip, r-release: explore_1.3.0.zip, r-oldrel: explore_1.3.1.zip
macOS binaries: r-release (arm64): explore_1.3.1.tgz, r-oldrel (arm64): explore_1.3.1.tgz, r-release (x86_64): explore_1.3.1.tgz, r-oldrel (x86_64): explore_1.3.1.tgz
Old sources: explore archive

Reverse dependencies:

Reverse suggests: tidydice

Linking:

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