{
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  "Type": "Package",
  "Package": "explore",
  "Title": "Simplifies Exploratory Data Analysis",
  "Version": "1.4.0",
  "Authors@R": "person(\"Roland\", \"Krasser\", , \"roland.krasser@gmail.com\", role = c(\"aut\", \"cre\"))",
  "Description": "Interactive data exploration with one line of code,\nautomated reporting or use an easy to remember set of tidy\nfunctions for low code exploratory data analysis.",
  "License": "MIT + file LICENSE",
  "URL": "https://rolkra.github.io/explore/,\nhttps://github.com/rolkra/explore",
  "BugReports": "https://github.com/rolkra/explore/issues",
  "VignetteBuilder": "knitr",
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  "Repository": "https://rolkra.r-universe.dev",
  "Date/Publication": "2025-12-10 08:20:08 UTC",
  "RemoteUrl": "https://github.com/rolkra/explore",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-12 08:12:00 UTC",
    "User": "root"
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  "Author": "Roland Krasser [aut, cre]",
  "Maintainer": "Roland Krasser <roland.krasser@gmail.com>",
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  "_created": "2026-05-12T08:12:00.000Z",
  "_published": "2026-05-22T10:44:44.199Z",
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    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "MASS",
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    },
    {
      "package": "randomForest",
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  "_tags": [],
  "_topics": [
    "data-exploration",
    "data-visualisation",
    "decision-trees",
    "eda",
    "rmarkdown",
    "shiny",
    "tidy"
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_homeurl": "https://github.com/rolkra/explore",
  "_realowner": "rolkra",
  "_cranurl": true,
  "_releases": [
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      "date": "2019-05-16"
    },
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      "version": "0.4.1",
      "date": "2019-05-19"
    },
    {
      "version": "0.4.2",
      "date": "2019-05-22"
    },
    {
      "version": "0.4.3",
      "date": "2019-06-17"
    },
    {
      "version": "0.4.4",
      "date": "2019-08-27"
    },
    {
      "version": "0.5.0",
      "date": "2019-09-19"
    },
    {
      "version": "0.5.1",
      "date": "2019-10-08"
    },
    {
      "version": "0.5.2",
      "date": "2019-11-22"
    },
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      "version": "0.5.3",
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      "date": "2021-01-21"
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      "version": "0.7.1",
      "date": "2021-06-04"
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      "version": "0.8.0",
      "date": "2022-01-30"
    },
    {
      "version": "0.9.0",
      "date": "2022-08-31"
    },
    {
      "version": "1.0.0",
      "date": "2022-11-11"
    },
    {
      "version": "1.0.1",
      "date": "2022-12-20"
    },
    {
      "version": "1.0.2",
      "date": "2023-01-14"
    },
    {
      "version": "1.1.0",
      "date": "2023-10-11"
    },
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      "date": "2024-02-10"
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    {
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      "version": "1.3.0",
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    },
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      "version": "1.3.1",
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    },
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      "date": "2024-09-02"
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      "date": "2024-11-14"
    },
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      "version": "1.3.4",
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    },
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      "version": "1.3.5",
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    },
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  ],
  "_exports": [
    "abtest",
    "add_var_id",
    "add_var_random_01",
    "add_var_random_cat",
    "add_var_random_dbl",
    "add_var_random_int",
    "add_var_random_moon",
    "add_var_random_starsign",
    "balance_target",
    "clean_var",
    "count_pct",
    "create_data_abtest",
    "create_data_app",
    "create_data_buy",
    "create_data_churn",
    "create_data_empty",
    "create_data_esoteric",
    "create_data_newsletter",
    "create_data_person",
    "create_data_random",
    "create_data_unfair",
    "create_notebook_explore",
    "data_dict_md",
    "decrypt",
    "describe",
    "describe_all",
    "describe_cat",
    "describe_num",
    "describe_tbl",
    "drop_obs_if",
    "drop_obs_with_na",
    "drop_var_by_names",
    "drop_var_low_variance",
    "drop_var_no_variance",
    "drop_var_not_numeric",
    "drop_var_with_na",
    "encrypt",
    "explain_forest",
    "explain_logreg",
    "explain_tree",
    "explain_xgboost",
    "explore",
    "explore_all",
    "explore_bar",
    "explore_col",
    "explore_cor",
    "explore_count",
    "explore_density",
    "explore_shiny",
    "explore_targetpct",
    "explore_tbl",
    "format_num_auto",
    "format_num_kMB",
    "format_num_space",
    "format_target",
    "format_type",
    "get_color",
    "get_nrow",
    "get_type",
    "get_var_buckets",
    "guess_cat_num",
    "interact",
    "mix_color",
    "plot_legend_targetpct",
    "plot_text",
    "predict_target",
    "replace_na_with",
    "report",
    "rescale01",
    "show_color",
    "simplify_text",
    "total_fig_height",
    "use_data_beer",
    "use_data_diamonds",
    "use_data_iris",
    "use_data_mpg",
    "use_data_mtcars",
    "use_data_penguins",
    "use_data_starwars",
    "use_data_titanic",
    "use_data_wordle",
    "weight_target",
    "yyyymm_calc"
  ],
  "_help": [
    {
      "page": "abtest",
      "title": "A/B testing",
      "topics": [
        "abtest"
      ]
    },
    {
      "page": "abtest_shiny",
      "title": "A/B testing interactive",
      "topics": [
        "abtest_shiny"
      ]
    },
    {
      "page": "abtest_targetnum",
      "title": "A/B testing comparing two mean",
      "topics": [
        "abtest_targetnum"
      ]
    },
    {
      "page": "abtest_targetpct",
      "title": "A/B testing comparing percent per group",
      "topics": [
        "abtest_targetpct"
      ]
    },
    {
      "page": "add_var_id",
      "title": "Add a variable id at first column in dataset",
      "topics": [
        "add_var_id"
      ]
    },
    {
      "page": "add_var_random_01",
      "title": "Add a random 0/1 variable to dataset",
      "topics": [
        "add_var_random_01"
      ]
    },
    {
      "page": "add_var_random_cat",
      "title": "Add a random categorical variable to dataset",
      "topics": [
        "add_var_random_cat"
      ]
    },
    {
      "page": "add_var_random_dbl",
      "title": "Add a random double variable to dataset",
      "topics": [
        "add_var_random_dbl"
      ]
    },
    {
      "page": "add_var_random_int",
      "title": "Add a random integer variable to dataset",
      "topics": [
        "add_var_random_int"
      ]
    },
    {
      "page": "add_var_random_moon",
      "title": "Add a random moon variable to dataset",
      "topics": [
        "add_var_random_moon"
      ]
    },
    {
      "page": "add_var_random_starsign",
      "title": "Add a random starsign variable to dataset",
      "topics": [
        "add_var_random_starsign"
      ]
    },
    {
      "page": "balance_target",
      "title": "Balance target variable",
      "topics": [
        "balance_target"
      ]
    },
    {
      "page": "check_vec_low_variance",
      "title": "Check vector for low variance",
      "topics": [
        "check_vec_low_variance"
      ]
    },
    {
      "page": "clean_var",
      "title": "Clean variable",
      "topics": [
        "clean_var"
      ]
    },
    {
      "page": "count_pct",
      "title": "Adds percentage to dplyr::count()",
      "topics": [
        "count_pct"
      ]
    },
    {
      "page": "create_data_abtest",
      "title": "Create data of A/B testing",
      "topics": [
        "create_data_abtest"
      ]
    },
    {
      "page": "create_data_app",
      "title": "Create data app",
      "topics": [
        "create_data_app"
      ]
    },
    {
      "page": "create_data_buy",
      "title": "Create data buy",
      "topics": [
        "create_data_buy"
      ]
    },
    {
      "page": "create_data_churn",
      "title": "Create data churn",
      "topics": [
        "create_data_churn"
      ]
    },
    {
      "page": "create_data_empty",
      "title": "Create an empty dataset",
      "topics": [
        "create_data_empty"
      ]
    },
    {
      "page": "create_data_esoteric",
      "title": "Create data esoteric",
      "topics": [
        "create_data_esoteric"
      ]
    },
    {
      "page": "create_data_newsletter",
      "title": "Create data newsletter",
      "topics": [
        "create_data_newsletter"
      ]
    },
    {
      "page": "create_data_person",
      "title": "Create data person",
      "topics": [
        "create_data_person"
      ]
    },
    {
      "page": "create_data_random",
      "title": "Create data random",
      "topics": [
        "create_data_random"
      ]
    },
    {
      "page": "create_data_unfair",
      "title": "Create data unfair",
      "topics": [
        "create_data_unfair"
      ]
    },
    {
      "page": "create_notebook_explore",
      "title": "Generate a notebook",
      "topics": [
        "create_notebook_explore"
      ]
    },
    {
      "page": "cut_vec_num_avg",
      "title": "Cut a variable",
      "topics": [
        "cut_vec_num_avg"
      ]
    },
    {
      "page": "data_dict_md",
      "title": "Create a data dictionary Markdown file",
      "topics": [
        "data_dict_md"
      ]
    },
    {
      "page": "decrypt",
      "title": "decrypt text",
      "topics": [
        "decrypt"
      ]
    },
    {
      "page": "describe",
      "title": "Describe a dataset or variable",
      "topics": [
        "describe"
      ]
    },
    {
      "page": "describe_all",
      "title": "Describe all variables of a dataset",
      "topics": [
        "describe_all"
      ]
    },
    {
      "page": "describe_cat",
      "title": "Describe categorical variable",
      "topics": [
        "describe_cat"
      ]
    },
    {
      "page": "describe_num",
      "title": "Describe numerical variable",
      "topics": [
        "describe_num"
      ]
    },
    {
      "page": "describe_tbl",
      "title": "Describe table",
      "topics": [
        "describe_tbl"
      ]
    },
    {
      "page": "drop_obs_if",
      "title": "Drop all observations where expression is true",
      "topics": [
        "drop_obs_if"
      ]
    },
    {
      "page": "drop_obs_with_na",
      "title": "Drop all observations with NA-values",
      "topics": [
        "drop_obs_with_na"
      ]
    },
    {
      "page": "drop_var_by_names",
      "title": "Drop variables by name",
      "topics": [
        "drop_var_by_names"
      ]
    },
    {
      "page": "drop_var_low_variance",
      "title": "Drop all variables with low variance",
      "topics": [
        "drop_var_low_variance"
      ]
    },
    {
      "page": "drop_var_no_variance",
      "title": "Drop all variables with no variance",
      "topics": [
        "drop_var_no_variance"
      ]
    },
    {
      "page": "drop_var_not_numeric",
      "title": "Drop all not numeric variables",
      "topics": [
        "drop_var_not_numeric"
      ]
    },
    {
      "page": "drop_var_with_na",
      "title": "Drop all variables with NA-values",
      "topics": [
        "drop_var_with_na"
      ]
    },
    {
      "page": "encrypt",
      "title": "encrypt text",
      "topics": [
        "encrypt"
      ]
    },
    {
      "page": "explain_forest",
      "title": "Explain a target using Random Forest.",
      "topics": [
        "explain_forest"
      ]
    },
    {
      "page": "explain_logreg",
      "title": "Explain a binary target using a logistic regression (glm). Model chosen by AIC in a Stepwise Algorithm ('MASS::stepAIC()').",
      "topics": [
        "explain_logreg"
      ]
    },
    {
      "page": "explain_tree",
      "title": "Explain a target using a simple decision tree (classification or regression)",
      "topics": [
        "explain_tree"
      ]
    },
    {
      "page": "explain_xgboost",
      "title": "Explain a binary target using xgboost",
      "topics": [
        "explain_xgboost"
      ]
    },
    {
      "page": "explore",
      "title": "Explore a dataset or variable",
      "topics": [
        "explore"
      ]
    },
    {
      "page": "explore_all",
      "title": "Explore all variables",
      "topics": [
        "explore_all"
      ]
    },
    {
      "page": "explore_bar",
      "title": "Explore categorical variable using bar charts",
      "topics": [
        "explore_bar"
      ]
    },
    {
      "page": "explore_col",
      "title": "Explore data without aggregation (label + value)",
      "topics": [
        "explore_col"
      ]
    },
    {
      "page": "explore_cor",
      "title": "Explore the correlation between two variables",
      "topics": [
        "explore_cor"
      ]
    },
    {
      "page": "explore_count",
      "title": "Explore count data (categories + frequency)",
      "topics": [
        "explore_count"
      ]
    },
    {
      "page": "explore_density",
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