Changes in version 1.0.2 (2026-03-21)                  

New data

•	Added two example datasets for textual analysis: •	alice: tokenized
words from Alice’s Adventures in Wonderland •	kafka: tokenized words
from The Metamorphosis These datasets can be used to demonstrate
rank-frequency (Zipf) plots.

New functions

•	rare_plot(): Generates rarefaction curves for nominal variables to
explore category accumulation as sampling effort increases.
•	zipf_rank_plot(): Creates rank-frequency plots comparing observed
category frequencies with the expected Zipf distribution. Supports
log-log scaling and cumulative proportion filtering.

                 Changes in version 1.0.0 (2026-02-03)                  

  - Initial CRAN submission.
  - Provides tools to visualize and analyze nominal (categorical,
    unordered) variable distributions.
  - Introduces novel centered bar and dot plots, which arrange
    categories from most frequent at the center outward, allowing
    detection of distributional patterns such as uniformity, dominance,
    symmetry, skewness, and long-tail behavior — an approach not
    previously available in R.
  - Includes functions to plot, analyze, and perform model comparison
    using AIC for nominal data shapes.
  - Main functions: ranked_barplot(), centered_barplot(),
    centered_dotplot(), shape_comp_plot(), shape_aic().
  - Designed for exploratory data analysis of nominal variables.