{ "_id": "6a3bdb305cdecea1d6838ba8", "Package": "dataProfilerR", "Title": "Automated Exploratory Data Analysis and Dataset Profiling", "Version": "0.2.1", "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) and\nthe Anderson-Darling test following Stephens (1974)\n, with power comparisons of\nthese tests in Yap and Sim (2011)\n, and the categorical\nassociation measure of Cramer (1946, ISBN:9780691080048).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-GB", "VignetteBuilder": "knitr", "URL": "https://github.com/mqfarooqi1/dataProfilerR", "BugReports": "https://github.com/mqfarooqi1/dataProfilerR/issues", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.0.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-24 13:24:00 UTC", "User": "root" }, "Author": "Muhammad Farooqi [aut, cre]", "Maintainer": "Muhammad Farooqi ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-24 08:20:18 UTC", "RemoteUrl": "https://github.com/cran/dataProfilerR", "RemoteRef": "HEAD", "RemoteSha": "fc17232ddf14746cc4b69656e75407af69a2e8d9", "MD5sum": 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