1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
7 SDESC[standard]= Simple Tools for Examining and Cleaning Dirty Data
8 HOMEPAGE= https://github.com/sfirke/janitor
9 CONTACT= CRAN_Automaton[cran@ironwolf.systems]
12 SITES[main]= CRAN/src/contrib
13 DISTFILE[1]= janitor_2.1.0.tar.gz:main
16 SPKGS[standard]= single
18 OPTIONS_AVAILABLE= none
19 OPTIONS_STANDARD= none
21 BUILDRUN_DEPENDS= R-dplyr:single:standard
22 R-lifecycle:single:standard
23 R-lubridate:single:standard
24 R-magrittr:single:standard
25 R-purrr:single:standard
26 R-rlang:single:standard
27 R-stringi:single:standard
28 R-stringr:single:standard
29 R-snakecase:single:standard
30 R-tidyselect:single:standard
31 R-tidyr:single:standard
39 INSTALL_REQ_TOOLCHAIN= yes
41 [FILE:753:descriptions/desc.single]
42 janitor: Simple Tools for Examining and Cleaning Dirty Data
44 The main janitor functions can: perfectly format data.frame column names;
45 provide quick counts of variable combinations (i.e., frequency tables and
46 crosstabs); and isolate duplicate records. Other janitor functions nicely
47 format the tabulation results. These tabulate-and-report functions
48 approximate popular features of SPSS and Microsoft Excel. This package
49 follows the principles of the "tidyverse" and works well with the pipe
50 function %>%. janitor was built with beginning-to-intermediate R users
51 in mind and is optimized for user-friendliness. Advanced R users can
52 already do everything covered here, but with janitor they can do it faster
53 and save their thinking for the fun stuff.
57 d60615940fbe174f67799c8abc797f27928eca4ac180418527c5897a4aaad826 215365 CRAN/janitor_2.1.0.tar.gz