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DataSum 1.0.0

Breaking changes

• Replaces the prototype API (Datum(), DataSumm(), getmode(), and shapiro_normality_test()) with a clean research-facing API: summarize_vector(), summarize_data(), profile_data(), datasum_report(), and run_datasum_app().
• Normality diagnostics now return the test name, statistic, p-value, alpha, and decision instead of a single label.

New features

• Adds NA-aware summaries for numeric, character, factor, logical, date, datetime, and unsupported columns.
• Adds robust statistics: quartiles, IQR, MAD, outlier counts, missingness diagnostics, skewness, and excess kurtosis.
• Adds grouped summaries through summarize_data(..., by = ...).
• Adds profile_data() for dataset-level diagnostics and warnings.
• Adds datasum_report() to create reproducible Quarto diagnostic reports.
• Adds run_datasum_app() as a Shiny interface for uploaded CSV files, summaries, warnings, plots, and report download.
• Adds testthat coverage, GitHub Actions, pkgdown configuration, citation metadata, and an introductory vignette.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.