Provides satellite tracking data from nomadic pectoral
    sandpipers published in Kempenaers and Valcu (2017)
    <doi:10.1038/nature20813>. The data can also serve as benchmark data
    for clustering movement tracks.

Converts numeric vectors to character vectors of English
    number names. Provides conversion to cardinals, ordinals, numerators,
    and denominators. Supports negative and non-integer numbers.

Similarity measures for hierarchical clustering of objects characterized by
    nominal (categorical) variables. Evaluation criteria for nominal data clustering.

Lightweight interface to the 'OpenStreetMap' 'Nominatim' API
    <https://nominatim.org/release-docs/latest/>. Extract coordinates from
    addresses, retrieve addresses from coordinates, look up amenities and
    addresses, and return results as 'tibble' or 'sf' objects.

Functions to use the 'NamePrism' API <https://www.name-prism.com/api> or 'NamSor' API v2 <https://namsor.app/> for classifying names based on gender, 6 U.S. ethnicities, or 39 leaf nationalities. Updated to work with current API endpoints.

Interface to the 'Nomis' database (<https://www.nomisweb.co.uk>), maintained by Durham University on behalf of the Office for National Statistics (ONS). Provides access to UK labour market statistics including census data, benefit claimant counts, and employment surveys. Supports automatic pagination, optional disk caching, spatial data via 'sf', and tidy data output. Independent implementation unaffiliated with ONS or Durham University.

Provides tools for visualizing and analyzing the shape of discrete nominal frequency distributions. The package introduces centered frequency plots, in which nominal categories are ordered from the most frequent category at the center toward less frequent categories on both sides, facilitating the detection of distributional patterns such as uniformity, dominance, symmetry, skewness, and long-tail behavior. In addition, the package supports Pareto charts for the study of dominance and cumulative frequency structure in nominal data. The package is designed for exploratory data analysis and statistical teaching, offering visualizations that emphasize distributional form rather than arbitrary category ordering.