{
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  "Package": "cleaner",
  "Title": "Fast and Easy Data Cleaning",
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  "Date": "2024-11-17",
  "Authors@R": "person(\ngiven = c(\"Matthijs\", \"S.\"),\nfamily = \"Berends\",\nemail = \"m.s.berends@umcg.nl\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7620-1800\"))",
  "Description": "Data cleaning functions for classes logical, factor,\nnumeric, character, currency and Date to make data cleaning\nfast and easy. Relying on very few dependencies, it provides\nsmart guessing, but with user options to override anything if\nneeded.",
  "URL": "https://msberends.github.io/cleaner/,\nhttps://github.com/msberends/cleaner",
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  "_created": "2026-10-09T09:18:59.000Z",
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  "_tags": [],
  "_stars": 35,
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  "_searchresults": 70,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/cleaner.html",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
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  "_realowner": "msberends",
  "_cranurl": true,
  "_releases": [
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      "version": "1.2.0",
      "date": "2019-11-05"
    },
    {
      "version": "1.3.0",
      "date": "2020-01-24"
    },
    {
      "version": "1.3.1",
      "date": "2020-01-31"
    },
    {
      "version": "1.4.0",
      "date": "2020-04-01"
    },
    {
      "version": "1.5.0",
      "date": "2020-06-01"
    },
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      "date": "2020-12-02"
    },
    {
      "version": "1.5.2",
      "date": "2021-05-24"
    },
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      "version": "1.5.3",
      "date": "2021-06-13"
    },
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      "date": "2022-10-29"
    },
    {
      "version": "1.5.5",
      "date": "2024-11-19"
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  ],
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    "as.percentage",
    "clean",
    "clean_character",
    "clean_currency",
    "clean_Date",
    "clean_double",
    "clean_factor",
    "clean_integer",
    "clean_logical",
    "clean_numeric",
    "clean_percentage",
    "clean_POSIXct",
    "format_datetime",
    "format_names",
    "format_p_value",
    "freq",
    "freq.default",
    "header",
    "is.currency",
    "is.freq",
    "is.percentage",
    "na_replace",
    "percentage",
    "rdate",
    "regex_false",
    "regex_true",
    "top_freq"
  ],
  "_datasets": [
    {
      "name": "unclean",
      "title": "Example data that is not clean",
      "object": "unclean",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "gender"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "clean",
      "title": "Clean column data to a class",
      "topics": [
        "clean",
        "clean.data.frame",
        "clean_character",
        "clean_currency",
        "clean_Date",
        "clean_double",
        "clean_factor",
        "clean_integer",
        "clean_logical",
        "clean_numeric",
        "clean_percentage",
        "clean_POSIXct"
      ]
    },
    {
      "page": "currency",
      "title": "Transform to currency",
      "topics": [
        "as.currency",
        "currency",
        "format.currency",
        "is.currency",
        "print.currency"
      ]
    },
    {
      "page": "format_datetime",
      "title": "Readable date format to POSIX",
      "topics": [
        "format_datetime"
      ]
    },
    {
      "page": "format_names",
      "title": "Format names and values",
      "topics": [
        "format_names"
      ]
    },
    {
      "page": "format_p_value",
      "title": "Format p values (APA guideline)",
      "topics": [
        "format_p_value"
      ]
    },
    {
      "page": "freq",
      "title": "Frequency table",
      "topics": [
        "freq",
        "freq.Date",
        "freq.default",
        "freq.factor",
        "freq.hms",
        "freq.matrix",
        "freq.numeric",
        "freq.table",
        "header",
        "is.freq",
        "print.freq",
        "top_freq"
      ]
    },
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      "page": "na_replace",
      "title": "Replace NA values",
      "topics": [
        "na_replace",
        "na_replace.data.frame",
        "na_replace.Date",
        "na_replace.default",
        "na_replace.list",
        "na_replace.logical",
        "na_replace.matrix",
        "na_replace.numeric"
      ]
    },
    {
      "page": "percentage",
      "title": "Transform to percentage",
      "topics": [
        "as.percentage",
        "format.percentage",
        "is.percentage",
        "percentage",
        "print.percentage"
      ]
    },
    {
      "page": "rdate",
      "title": "Generate random dates",
      "topics": [
        "rdate"
      ]
    },
    {
      "page": "regex_true_false",
      "title": "Regular expressions for 'TRUE' and 'FALSE'",
      "topics": [
        "regex_false",
        "regex_true",
        "regex_true_false"
      ]
    },
    {
      "page": "unclean",
      "title": "Example data that is not clean",
      "topics": [
        "unclean"
      ]
    }
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