Lite interface for getting data from 'OSM' service
    'Nominatim' <https://nominatim.org/release-docs/latest/>. Extract
    coordinates from addresses, find places near a set of coordinates and
    return spatial objects on 'sf' format.

Interface to the 'Nomis' database (<https://www.nomisweb.co.uk>), a comprehensive resource of United Kingdom labour market statistics provided by the Office for National Statistics (ONS). Facilitates programmatic access to census data, labour force surveys, benefit statistics, and socioeconomic indicators through a modern HTTP client with intelligent caching, automatic query pagination, and tidy data principles. Includes spatial data integration, interactive helpers, and visualization utilities. 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.

A tool for drawing sassy 'UML' (Unified Modeling Language) diagrams 
  based on a simple syntax, see <https://www.nomnoml.com>. Supports styling, 
  R Markdown and exporting diagrams in the PNG format. Note: you need a chromium based 
  browser installed on your system.

A nomogram can not be easily applied,
    because it is difficult to calculate the points or even the survival probability.
  The package, including a function of nomogramEx(),
    is to extract the polynomial equations to calculate the points of each variable,
    and the survival probability corresponding to the total points.