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DESCRIPTION
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DESCRIPTION
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Package: janitor
Title: Simple Tools for Examining and Cleaning Dirty Data
Version: 2.2.0.9000
Authors@R: c(person("Sam", "Firke", email = "[email protected]", role = c("aut", "cre")),
person("Bill", "Denney", email = "[email protected]", role = "ctb"),
person("Chris", "Haid", email = "[email protected]", role = "ctb"),
person("Ryan", "Knight", email = "[email protected]", role = "ctb"),
person("Malte", "Grosser", email = "[email protected]", role = "ctb"),
person("Jonathan", "Zadra", email = "[email protected]", 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.
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,
stringi,
stringr,
snakecase (>= 0.9.2),
tidyselect (>= 1.0.0),
tidyr (>= 0.7.0)
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 7.2.3
Suggests:
dbplyr,
knitr,
rmarkdown,
RSQLite,
sf,
testthat (>= 3.0.0),
tibble,
tidygraph
VignetteBuilder: knitr
Encoding: UTF-8
Config/testthat/edition: 3