janitor: Simple Tools for Examining and Cleaning Dirty Data

The main janitor functions can: perfectly format data.frame column names; provide quick one- and two-variable tabulations (i.e., frequency tables and crosstabs); and isolate duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff.

Version: 0.3.1
Depends: R (≥ 3.1.2)
Imports: dplyr (≥ 0.5.0), tidyr, magrittr
Suggests: testthat, knitr, rmarkdown
Published: 2018-01-04
Author: Sam Firke [aut, cre], Chris Haid [ctb], Ryan Knight [ctb]
Maintainer: Sam Firke <samuel.firke at gmail.com>
BugReports: https://github.com/sfirke/janitor/issues
License: MIT + file LICENSE
URL: https://github.com/sfirke/janitor
NeedsCompilation: no
Materials: README NEWS
CRAN checks: janitor results


Reference manual: janitor.pdf
Vignettes: Introduction
Package source: janitor_0.3.1.tar.gz
Windows binaries: r-devel: janitor_0.3.1.zip, r-release: janitor_0.3.1.zip, r-oldrel: janitor_0.3.1.zip
OS X El Capitan binaries: r-release: janitor_0.3.1.tgz
OS X Mavericks binaries: r-oldrel: janitor_0.3.1.tgz
Old sources: janitor archive

Reverse dependencies:

Reverse imports: ballr, bomrang, moderndive
Reverse suggests: fivethirtyeight


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