# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "dataProfilerR" in publications use:' type: software license: MIT title: 'dataProfilerR: Automated Exploratory Data Analysis and Dataset Profiling' version: 0.2.1 abstract: 'Profiles a data frame with minimal input: column type inference, missing-value analysis, distributional summary statistics (including skewness and kurtosis), normality tests, outlier detection, correlation and categorical-association analysis, date-column profiling, grouped comparisons and an overall data-quality score, alongside a set of ''ggplot2'' visualisations. A single entry point, profile_data(), returns a structured S3 object holding metadata, statistics, diagnostics and plots, with print(), summary() and plot() methods, and report() renders the whole profile to a self-contained HTML file. Statistical methods include the Shapiro-Wilk normality test as implemented by Royston (1995) and the Anderson-Darling test following Stephens (1974) , with power comparisons of these tests in Yap and Sim (2011) , and the categorical association measure of Cramer (1946, ISBN:9780691080048).' authors: - family-names: Farooqi given-names: Muhammad email: mqfarooqi@gmail.com repository: https://cran.r-universe.dev repository-code: https://github.com/mqfarooqi1/dataProfilerR commit: fc17232ddf14746cc4b69656e75407af69a2e8d9 url: https://github.com/mqfarooqi1/dataProfilerR date-released: '2026-06-24' contact: - family-names: Farooqi given-names: Muhammad email: mqfarooqi@gmail.com