DESCRIPTION

Package: janitor
Title: Simple Tools for Examining and Cleaning Dirty Data
Version: 2.2.1.9000
Authors@R: c(
    person("Sam", "Firke", , "samuel.firke@gmail.com", role = c("aut", "cre")),
    person("Bill", "Denney", , "wdenney@humanpredictions.com", role = "ctb"),
    person("Chris", "Haid", , "chrishaid@gmail.com", role = "ctb"),
    person("Ryan", "Knight", , "ryangknight@gmail.com", role = "ctb"),
    person("Malte", "Grosser", , "malte.grosser@gmail.com", role = "ctb"),
    person("Jonathan", "Zadra", , "jonathan.zadra@sorensonimpact.com", role = "ctb"),
    person("Olivier", "Roy", role = "ctb"),
    person("Josep", family = "Pueyo-Ros", email = "josep.pueyo@udg.edu", role = "ctb")
  )
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 explore 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.
License: MIT + file LICENSE
URL: https://github.com/sfirke/janitor, https://sfirke.github.io/janitor/
BugReports: https://github.com/sfirke/janitor/issues
Depends:
    R (>= 3.1.2)
Imports:
    dplyr (>= 1.0.0),
    hms,
    lifecycle,
    lubridate,
    magrittr,
    purrr,
    rlang,
    snakecase (>= 0.9.2),
    stringi,
    stringr,
    tidyr (>= 1.0.0),
    tidyselect (>= 1.0.0)
Suggests:
    dbplyr,
    knitr,
    rmarkdown,
    RSQLite,
    sf,
    testthat (>= 3.0.0),
    tibble,
    tidygraph
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2