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: | 0.9.0 |
| Imports: | assertthat, broom, dplyr, DT, forcats, ggplot2 (≥ 3.0.0), gridExtra, magrittr, MASS, rlang, rmarkdown, rpart, rpart.plot, shiny, stats, stringr, tibble, tidyr |
| Suggests: | knitr, palmerpenguins, testthat |
| Published: | 2022-08-31 |
| 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 explore_mtcars explore_penguins explore_titanic |
| Package source: | explore_0.9.0.tar.gz |
| Windows binaries: | r-devel: explore_0.9.0.zip, r-release: explore_0.9.0.zip, r-oldrel: explore_0.9.0.zip |
| macOS binaries: | r-release (arm64): explore_0.9.0.tgz, r-oldrel (arm64): explore_0.9.0.tgz, r-release (x86_64): explore_0.9.0.tgz, r-oldrel (x86_64): explore_0.9.0.tgz |
| Old sources: | explore archive |
| Reverse suggests: | tidydice |
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