_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
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r-janitor 2.2.0
Propagated dependencies: r-dplyr@1.1.4 r-hms@1.1.3 r-lifecycle@1.0.4 r-lubridate@1.9.3 r-magrittr@2.0.3 r-purrr@1.0.2 r-rlang@1.1.4 r-snakecase@0.11.1 r-stringi@1.8.4 r-stringr@1.5.1 r-tidyr@1.3.1 r-tidyselect@1.2.1
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/sfirke/janitor
Licenses: Expat
Synopsis: Simple tools for examining and cleaning dirty data
Description:

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 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.

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