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  "Package": "dataProfilerR",
  "Title": "Automated Exploratory Data Analysis and Dataset Profiling",
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  "Authors@R": "person(\"Muhammad\", \"Farooqi\", email = \"mqfarooqi@gmail.com\",\nrole = c(\"aut\", \"cre\"))",
  "Description": "Profiles a data frame with minimal input: column type\ninference, missing-value analysis, distributional summary\nstatistics (including skewness and kurtosis), normality tests,\noutlier detection, correlation and categorical-association\nanalysis, date-column profiling, grouped comparisons and an\noverall data-quality score, alongside a set of 'ggplot2'\nvisualisations. A single entry point, profile_data(), returns a\nstructured S3 object holding metadata, statistics, diagnostics\nand plots, with print(), summary() and plot() methods, and\nreport() renders the whole profile to a self-contained HTML\nfile. Statistical methods include the Shapiro-Wilk normality\ntest as implemented by Royston (1995) <doi:10.2307/2986146> and\nthe Anderson-Darling test following Stephens (1974)\n<doi:10.1080/01621459.1974.10480196>, with power comparisons of\nthese tests in Yap and Sim (2011)\n<doi:10.1080/00949655.2010.520163>, and the categorical\nassociation measure of Cramer (1946, ISBN:9780691080048).",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Language": "en-GB",
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  "BugReports": "https://github.com/mqfarooqi1/dataProfilerR/issues",
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  "Repository": "https://mqfarooqi1.r-universe.dev",
  "Date/Publication": "2026-06-25 06:14:31 UTC",
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    "plot_distribution",
    "plot_missing",
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    "profile_data",
    "report",
    "skewness",
    "summarize_columns"
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      "title": "Profile date / datetime columns",
      "topics": [
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      "title": "Analyse missing values",
      "topics": [
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    },
    {
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      "title": "Categorical association (Cramer's V)",
      "topics": [
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      ]
    },
    {
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      "title": "Compare numeric columns across groups",
      "topics": [
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      ]
    },
    {
      "page": "correlation_analysis",
      "title": "Correlation analysis",
      "topics": [
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      ]
    },
    {
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      "title": "Data quality score",
      "topics": [
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    },
    {
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      "title": "Detect outliers in a numeric vector",
      "topics": [
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    },
    {
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      "title": "Infer a semantic type for each column",
      "topics": [
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    },
    {
      "page": "is_data_profile",
      "title": "Is an object a data_profile?",
      "topics": [
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    },
    {
      "page": "kurtosis",
      "title": "Sample excess kurtosis",
      "topics": [
        "kurtosis"
      ]
    },
    {
      "page": "normality_tests",
      "title": "Normality tests for numeric columns",
      "topics": [
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    },
    {
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      "title": "Outlier summary across numeric columns",
      "topics": [
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      ]
    },
    {
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      "title": "Categorical association heatmap",
      "topics": [
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    },
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      "title": "Boxplots for numeric columns",
      "topics": [
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      "title": "Correlation heatmap",
      "topics": [
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      ]
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    },
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