{
  "_id": "6a102101acfb0bcc41c8bdfe",
  "Package": "janitor",
  "Title": "Simple Tools for Examining and Cleaning Dirty Data",
  "Version": "2.2.1.9000",
  "Authors@R": "c(\nperson(\"Sam\", \"Firke\", , \"samuel.firke@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Bill\", \"Denney\", , \"wdenney@humanpredictions.com\", role = \"ctb\"),\nperson(\"Chris\", \"Haid\", , \"chrishaid@gmail.com\", role = \"ctb\"),\nperson(\"Ryan\", \"Knight\", , \"ryangknight@gmail.com\", role = \"ctb\"),\nperson(\"Malte\", \"Grosser\", , \"malte.grosser@gmail.com\", role = \"ctb\"),\nperson(\"Jonathan\", \"Zadra\", , \"jonathan.zadra@sorensonimpact.com\", role = \"ctb\"),\nperson(\"Olivier\", \"Roy\", role = \"ctb\"),\nperson(\"Josep\", family = \"Pueyo-Ros\", email = \"josep.pueyo@udg.edu\", role = \"ctb\")\n)",
  "Description": "The main janitor functions can: perfectly format\ndata.frame column names; provide quick counts of variable\ncombinations (i.e., frequency tables and crosstabs); and\nexplore duplicate records. Other janitor functions nicely\nformat the tabulation results. These tabulate-and-report\nfunctions approximate popular features of SPSS and Microsoft\nExcel. This package follows the principles of the \"tidyverse\"\nand works well with the pipe function %>%. janitor was built\nwith beginning-to-intermediate R users in mind and is optimized\nfor user-friendliness.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/sfirke/janitor,\nhttps://sfirke.github.io/janitor/",
  "BugReports": "https://github.com/sfirke/janitor/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://nmrgroup.r-universe.dev",
  "Date/Publication": "2024-12-23 14:15:15 UTC",
  "RemoteUrl": "https://github.com/sfirke/janitor",
  "RemoteRef": "HEAD",
  "RemoteSha": "81702b6ed2b97a143319700a8edf48e8e4cce9cd",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-14 05:55:12 UTC",
    "User": "root"
  },
  "Author": "Sam Firke [aut, cre],\nBill Denney [ctb],\nChris Haid [ctb],\nRyan Knight [ctb],\nMalte Grosser [ctb],\nJonathan Zadra [ctb],\nOlivier Roy [ctb],\nJosep Pueyo-Ros [ctb]",
  "Maintainer": "Sam Firke <samuel.firke@gmail.com>",
  "MD5sum": "588ce2c3059b47b78550d1c54a71636b",
  "_user": "nmrgroup",
  "_type": "src",
  "_file": "janitor_2.2.1.9000.tar.gz",
  "_fileid": "01dceb4c35f72cf803f1e132e41fec01d12a796faa02e4934d1a77af760bad39",
  "_filesize": 478812,
  "_sha256": "01dceb4c35f72cf803f1e132e41fec01d12a796faa02e4934d1a77af760bad39",
  "_created": "2026-05-14T05:55:12.000Z",
  "_published": "2026-05-22T09:25:21.668Z",
  "_distro": "noble",
  "_jobs": [
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      "job": 77352266647,
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  "_buildurl": "https://github.com/r-universe/nmrgroup/actions/runs/25844325262",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/sfirke/janitor",
  "_commit": {
    "id": "81702b6ed2b97a143319700a8edf48e8e4cce9cd",
    "author": "Sam Firke <sfirke@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Incorporate v2.2.1 branch into main (#590)\n\n* cherried some of #584 for CRAN bugfix release\r\n\r\n* bump version number\r\n\r\n* use Debian-friendly timezone\r\n\r\n* gitignore/rbuildignore revdep\r\n\r\n* fix codecov shield URL\r\n\r\n* prep for release\r\n\r\n* add CRAN-SUBMISSIONS to Rbuildignore\r\n\r\n* bump to dev pkg number\r\n\r\n---------\r\n\r\nCo-authored-by: Bill Denney <billdenney@users.noreply.github.com>",
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    "name": "Sam Firke",
    "email": "samuel.firke@gmail.com",
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      "package": "dplyr",
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      "package": "hms",
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      "package": "lifecycle",
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    {
      "package": "lubridate",
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    {
      "package": "magrittr",
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    }
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  "_updates": [],
  "_tags": [],
  "_topics": [
    "data-analysis",
    "data-cleaning",
    "data-science",
    "dirty-data",
    "excel",
    "pivot-tables",
    "spss",
    "tabulations",
    "tidyverse"
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    "name": "NMRgroup"
  },
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    "count": 290483,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/janitor"
  },
  "_mentions": 11,
  "_devurl": "https://github.com/sfirke/janitor",
  "_pkgdown": "https://sfirke.github.io/janitor/",
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  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/janitor.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/sfirke/janitor",
  "_realowner": "sfirke",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.2.0",
      "date": "2016-10-03"
    },
    {
      "version": "0.2.1",
      "date": "2016-10-31"
    },
    {
      "version": "0.3.0",
      "date": "2017-05-06"
    },
    {
      "version": "0.3.1",
      "date": "2018-01-04"
    },
    {
      "version": "1.0.0",
      "date": "2018-03-22"
    },
    {
      "version": "1.1.0",
      "date": "2018-07-18"
    },
    {
      "version": "1.1.1",
      "date": "2018-07-31"
    },
    {
      "version": "1.2.0",
      "date": "2019-04-21"
    },
    {
      "version": "1.2.1",
      "date": "2020-01-22"
    },
    {
      "version": "2.0.0",
      "date": "2020-04-08"
    },
    {
      "version": "2.0.1",
      "date": "2020-04-12"
    },
    {
      "version": "2.1.0",
      "date": "2021-01-05"
    },
    {
      "version": "2.2.0",
      "date": "2023-02-02"
    },
    {
      "version": "2.2.1",
      "date": "2024-12-22"
    }
  ],
  "_exports": [
    "%>%",
    "add_totals_col",
    "add_totals_row",
    "adorn_crosstab",
    "adorn_ns",
    "adorn_pct_formatting",
    "adorn_percentages",
    "adorn_rounding",
    "adorn_title",
    "adorn_totals",
    "as_tabyl",
    "chisq.test",
    "clean_names",
    "compare_df_cols",
    "compare_df_cols_same",
    "convert_to_date",
    "convert_to_datetime",
    "convert_to_NA",
    "crosstab",
    "describe_class",
    "excel_numeric_to_date",
    "excel_time_to_numeric",
    "find_header",
    "fisher.test",
    "get_dupes",
    "get_one_to_one",
    "make_clean_names",
    "paste_skip_na",
    "remove_constant",
    "remove_empty",
    "remove_empty_cols",
    "remove_empty_rows",
    "round_half_up",
    "round_to_fraction",
    "row_to_names",
    "sas_numeric_to_date",
    "signif_half_up",
    "single_value",
    "tabyl",
    "top_levels",
    "untabyl",
    "use_first_valid_of"
  ],
  "_help": [
    {
      "page": "adorn_ns",
      "title": "Add underlying Ns to a tabyl displaying percentages.",
      "topics": [
        "adorn_ns"
      ]
    },
    {
      "page": "adorn_pct_formatting",
      "title": "Format a 'data.frame' of decimals as percentages.",
      "topics": [
        "adorn_pct_formatting"
      ]
    },
    {
      "page": "adorn_percentages",
      "title": "Convert a data.frame of counts to percentages.",
      "topics": [
        "adorn_percentages"
      ]
    },
    {
      "page": "adorn_rounding",
      "title": "Round the numeric columns in a data.frame.",
      "topics": [
        "adorn_rounding"
      ]
    },
    {
      "page": "adorn_title",
      "title": "Add column name to the top of a two-way tabyl.",
      "topics": [
        "adorn_title"
      ]
    },
    {
      "page": "adorn_totals",
      "title": "Append a totals row and/or column to a data.frame",
      "topics": [
        "adorn_totals"
      ]
    },
    {
      "page": "as_tabyl",
      "title": "Add 'tabyl' attributes to a data.frame",
      "topics": [
        "as_tabyl"
      ]
    },
    {
      "page": "chisq.test",
      "title": "Apply 'stats::chisq.test()' to a two-way tabyl",
      "topics": [
        "chisq.test",
        "chisq.test.default",
        "chisq.test.tabyl"
      ]
    },
    {
      "page": "clean_names",
      "title": "Cleans names of an object (usually a data.frame).",
      "concept": [
        "Set names"
      ],
      "topics": [
        "clean_names",
        "clean_names.default",
        "clean_names.sf",
        "clean_names.tbl_graph",
        "clean_names.tbl_lazy"
      ]
    },
    {
      "page": "compare_df_cols",
      "title": "Compare data frames columns before merging",
      "concept": [
        "data frame type comparison"
      ],
      "topics": [
        "compare_df_cols"
      ]
    },
    {
      "page": "compare_df_cols_same",
      "title": "Do the the data.frames have the same columns & types?",
      "concept": [
        "data frame type comparison"
      ],
      "topics": [
        "compare_df_cols_same"
      ]
    },
    {
      "page": "convert_to_date",
      "title": "Parse dates from many formats",
      "concept": [
        "date-time cleaning"
      ],
      "topics": [
        "convert_to_date",
        "convert_to_datetime"
      ]
    },
    {
      "page": "describe_class",
      "title": "Describe the class(es) of an object",
      "concept": [
        "data frame type comparison"
      ],
      "topics": [
        "describe_class",
        "describe_class.default",
        "describe_class.factor"
      ]
    },
    {
      "page": "excel_numeric_to_date",
      "title": "Convert dates encoded as serial numbers to Date class.",
      "concept": [
        "date-time cleaning"
      ],
      "topics": [
        "excel_numeric_to_date"
      ]
    },
    {
      "page": "excel_time_to_numeric",
      "title": "Convert a time that may be inconsistently or inconveniently formatted from Microsoft Excel to a numeric number of seconds between 0 and 86400.",
      "concept": [
        "date-time cleaning"
      ],
      "topics": [
        "excel_time_to_numeric"
      ]
    },
    {
      "page": "find_header",
      "title": "Find the header row in a data.frame",
      "concept": [
        "Set names"
      ],
      "topics": [
        "find_header"
      ]
    },
    {
      "page": "fisher.test",
      "title": "Apply 'stats::fisher.test()' to a two-way tabyl",
      "topics": [
        "fisher.test",
        "fisher.test.default",
        "fisher.test.tabyl"
      ]
    },
    {
      "page": "get_dupes",
      "title": "Get rows of a 'data.frame' with identical values for the specified variables.",
      "topics": [
        "get_dupes"
      ]
    },
    {
      "page": "get_one_to_one",
      "title": "Find the list of columns that have a 1:1 mapping to each other",
      "topics": [
        "get_one_to_one"
      ]
    },
    {
      "page": "make_clean_names",
      "title": "Cleans a vector of text, typically containing the names of an object.",
      "topics": [
        "make_clean_names"
      ]
    },
    {
      "page": "mu_to_u",
      "title": "Constant to help map from mu to u",
      "concept": [
        "Set names"
      ],
      "topics": [
        "mu_to_u"
      ]
    },
    {
      "page": "paste_skip_na",
      "title": "Like 'paste()', but missing values are omitted",
      "topics": [
        "paste_skip_na"
      ]
    },
    {
      "page": "remove_constant",
      "title": "Remove constant columns from a data.frame or matrix.",
      "concept": [
        "remove functions"
      ],
      "topics": [
        "remove_constant"
      ]
    },
    {
      "page": "remove_empty",
      "title": "Remove empty rows and/or columns from a data.frame or matrix.",
      "concept": [
        "remove functions"
      ],
      "topics": [
        "remove_empty"
      ]
    },
    {
      "page": "round_half_up",
      "title": "Round a numeric vector; halves will be rounded up, ala Microsoft Excel.",
      "topics": [
        "round_half_up"
      ]
    },
    {
      "page": "round_to_fraction",
      "title": "Round to the nearest fraction of a specified denominator.",
      "topics": [
        "round_to_fraction"
      ]
    },
    {
      "page": "row_to_names",
      "title": "Elevate a row to be the column names of a data.frame.",
      "concept": [
        "Set names"
      ],
      "topics": [
        "row_to_names"
      ]
    },
    {
      "page": "sas_numeric_to_date",
      "title": "Convert a SAS date, time or date/time to an R object",
      "concept": [
        "date-time cleaning"
      ],
      "topics": [
        "sas_numeric_to_date"
      ]
    },
    {
      "page": "signif_half_up",
      "title": "Round a numeric vector to the specified number of significant digits; halves will be rounded up.",
      "topics": [
        "signif_half_up"
      ]
    },
    {
      "page": "single_value",
      "title": "Ensure that a vector has only a single value throughout.",
      "topics": [
        "single_value"
      ]
    },
    {
      "page": "tabyl",
      "title": "Generate a frequency table (1-, 2-, or 3-way).",
      "topics": [
        "tabyl",
        "tabyl.data.frame",
        "tabyl.default"
      ]
    },
    {
      "page": "top_levels",
      "title": "Generate a frequency table of a factor grouped into top-n, bottom-n, and all other levels.",
      "topics": [
        "top_levels"
      ]
    },
    {
      "page": "untabyl",
      "title": "Remove 'tabyl' attributes from a data.frame.",
      "topics": [
        "untabyl"
      ]
    }
  ],
  "_readme": "https://github.com/sfirke/janitor/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "cpp11",
    "dplyr",
    "generics",
    "glue",
    "hms",
    "lifecycle",
    "lubridate",
    "magrittr",
    "pillar",
    "pkgconfig",
    "purrr",
    "R6",
    "rlang",
    "snakecase",
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