janitor: Simple Tools for Examining and Cleaning Dirty Data

The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (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: 1.1.1
Depends: R (≥ 3.1.2)
Imports: dplyr (≥ 0.7.0), tidyr (≥ 0.7.0), snakecase (≥ 0.9.0), magrittr, purrr, rlang
Suggests: testthat, knitr, rmarkdown
Published: 2018-07-31
Author: Sam Firke [aut, cre], Chris Haid [ctb], Ryan Knight [ctb], Bill Denney [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: janitor
Package source: janitor_1.1.1.tar.gz
Windows binaries: r-devel: janitor_1.1.1.zip, r-release: janitor_1.1.1.zip, r-oldrel: janitor_1.1.1.zip
OS X binaries: r-release: janitor_1.1.1.tgz, r-oldrel: janitor_1.1.1.tgz
Old sources: janitor archive

Reverse dependencies:

Reverse imports: ballr, bomrang, congressbr, driftR, moderndive, postal
Reverse suggests: fivethirtyeight, questionr


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