explore: Simplifies Exploratory Data Analysis

Interactive data exploration with one line of code or use an easy to remember set of tidy functions for exploratory data analysis. Introduces three main verbs. explore() to graphically explore a variable or table, describe() to describe a variable or table and report() to create an automated report.

Version: 1.0.2
Imports: assertthat, broom, dplyr, DT (≥ 0.3.0), forcats, ggplot2 (≥ 3.0.0), gridExtra, magrittr, MASS, rlang, rmarkdown, rpart, rpart.plot, shiny, stats, stringr, tibble, tidyr
Suggests: knitr, palmerpenguins, testthat
Published: 2023-01-14
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser at gmail.com>
License: GPL-3
URL: https://github.com/rolkra/explore/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: explore results


Reference manual: explore.pdf
Vignettes: explore


Package source: explore_1.0.2.tar.gz
Windows binaries: r-devel: explore_1.0.2.zip, r-release: explore_1.0.2.zip, r-oldrel: explore_1.0.2.zip
macOS binaries: r-release (arm64): explore_1.0.2.tgz, r-oldrel (arm64): explore_1.0.2.tgz, r-release (x86_64): explore_1.0.2.tgz, r-oldrel (x86_64): explore_1.0.2.tgz
Old sources: explore archive

Reverse dependencies:

Reverse suggests: tidydice


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