DESCRIPTION

Package: janitor
Title: Simple Tools for Examining and Cleaning Dirty Data
Version: 2.1.0.9000
Authors@R: c(person("Sam", "Firke", email = "samuel.firke@gmail.com", role = c("aut", "cre")),
    person("Bill", "Denney", email = "wdenney@humanpredictions.com", role = "ctb"),
    person("Chris", "Haid", email = "chrishaid@gmail.com", role = "ctb"),
    person("Ryan", "Knight", email = "ryangknight@gmail.com", role = "ctb"),
    person("Malte", "Grosser", email = "malte.grosser@gmail.com", role = "ctb"),
    person("Jonathan", "Zadra", email = "jonathan.zadra@sorensonimpact.com", 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 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.
URL: https://github.com/sfirke/janitor
BugReports: https://github.com/sfirke/janitor/issues
Depends:
    R (>= 3.1.2)
Imports:
    dplyr (>= 1.0.0),
    lifecycle,
    lubridate,
    magrittr,
    purrr,
    rlang,
    stringi,
    stringr,
    snakecase (>= 0.9.2),
    tidyselect (>= 1.0.0),
    tidyr (>= 0.7.0)
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 7.1.1
Suggests:
    knitr,
    rmarkdown,
    sf,
    testthat,
    tibble,
    tidygraph
VignetteBuilder: knitr
Encoding: UTF-8