Changes in version 0.2.1 (2026-06-24)                  

Changes requested during the initial CRAN review:

  - Added method references (Shapiro-Wilk, Anderson-Darling, Cramer's V)
    to the Description field.
  - normality_tests() no longer touches the global random-number state.
    Large columns are now reduced with a deterministic, evenly-spaced
    subsample instead of set.seed() + sample(); the seed argument has
    been removed.

                        Changes in version 0.2.0                        

New analysis and reporting:

  - report() renders a complete profile to a self-contained HTML file
    (requires pandoc, via \pkg{rmarkdown}).
  - categorical_association() and plot_association() add Cramer's V
    between categorical columns (the categorical analogue of the
    correlation matrix).
  - analyze_dates() profiles date/datetime columns: range, unique count,
    and the largest gap between consecutive timestamps.
  - compare_groups() summarises numeric columns within the levels of a
    grouping column (grouped/comparative profiling).

Pipeline changes:

  - profile_data() gains group_by (adds a grouped comparison to the
    diagnostics) and distributions (set FALSE to skip the eager
    per-column distribution plots on wide data). Association and date
    results are now part of the returned object, and plot() accepts
    which = "association".
  - summary() now also prints date, association and grouped-comparison
    sections when present.

                        Changes in version 0.1.0                        

  - First version: profile_data() with type inference, missing-value
    analysis, summary statistics (incl. skewness/kurtosis), normality
    tests, outlier detection (IQR/z-score/robust), correlation analysis,
    a data-quality score, and ggplot2 figures, returned as a
    data_profile S3 object with print(), summary() and plot() methods.