Changes in version 0.2.0 (2026-03-19)                  

New features

  - Added explorer() to generate an HTML or PDF exploratory data
    analysis report for an entire data frame, including summaries of all
    continuous, date and categorical variables, missing data, and
    duplicates.
  - Added dist_date() for summarising and visualising date variables,
    optionally stratified by a grouping variable.
  - Redesigned tab() with a Stata-style formatted console output. Now
    supports row percentages, column percentages, or counts only (show
    argument), optional row/column totals, configurable decimal places,
    and chi-squared and Fisher's exact hypothesis tests by default.
  - dist_sum() now returns n_outliers (IQR method), shapiro_p
    (Shapiro-Wilk p-value), and normal (logical) for both ungrouped and
    grouped summaries.
  - dist_sum() now automatically uses the t-distribution for confidence
    intervals when n < 30, and the Z-distribution for n >= 30.
  - tab() now runs both chi-squared and Fisher's exact tests by default
    (test = "both").
  - tab() now prints a note when observations are excluded due to
    missing values.
  - tab() and tab1() now raise informative errors when the wrong number
    of variables is supplied.
  - explorer() now prompts interactively to exclude identifier columns
    (id, ids, pid, pids) from summaries.
  - explorer() now includes a correlation heatmap section when two or
    more numeric variables are present.

Bug fixes

  - dup(): fixed inverted label positions in the stacked bar chart.
  - dist_sum(): fixed incorrect test dispatch (ANOVA vs t-test) when the
    grouping variable contains missing values.
  - explorer(): fixed id_var scope in generated Rmd; fixed CLI progress
    bar token names.
  - explorer(): correctly recovers the data frame name when called via
    the %>% pipe.

                        Changes in version 0.1.0                        

  - Initial release with dist_sum(), tab1(), and dup().