How do I see all sub-items under a specific category?

You can use the --depth flag. Setting --depth -1 will display all descendants of the selected subject.

How can I see the full path of a specific subject?

Use the --parents flag to print the resolved path from the root (DST) before listing the children.

Does this skill work with node IDs or just names?

The skill is flexible and matches segments against descriptions, labels, or raw node IDs.

Can I navigate multiple levels of the hierarchy at once?

Yes, you can use slash-separated names (e.g., 'Borgere/Befolkning') to jump through multiple levels in a single command.

What is the primary purpose of the subjects skill?

It is used to browse and explore the hierarchical grouping of fact tables provided by Denmark Statistics (DST).

Denmark Statistics Subject Explorer

Name: Denmark Statistics Subject Explorer
Author: josca42

byjosca42

•

Ciencia de Datos y ML

Navigates and explores the Denmark Statistics (DST) subject hierarchy to discover specific fact tables and data categories.

Acerca de

The Denmark Statistics Subject Explorer is a specialized tool designed to navigate the complex hierarchical structure of Danmarks Statistik. It allows users to programmatically browse through various subjects, such as population, economics, and social data, to identify specific fact tables for data analysis. With support for deep-linked slash paths, recursive depth control, and parent breadcrumb tracking, it simplifies the process of data discovery within the Danish national statistical database, making it an essential utility for researchers and developers working with Danish datasets.

Características Principales

1 GitHub stars
Configurable depth control for recursive descendant views
Subject resolution via descriptions, labels, or node IDs
Path tracking with optional breadcrumb output
Slash-path support for jumping multiple hierarchy levels
Hierarchical navigation of the DST subject tree

Casos de Uso

Automating the discovery of relevant datasets for economic research
Mapping the organizational structure of Danish national statistics
Locating specific demographic fact tables for data science projects

Acerca de

Características Principales

1 GitHub stars
Configurable depth control for recursive descendant views
Subject resolution via descriptions, labels, or node IDs
Path tracking with optional breadcrumb output
Slash-path support for jumping multiple hierarchy levels
Hierarchical navigation of the DST subject tree

Casos de Uso

Automating the discovery of relevant datasets for economic research
Mapping the organizational structure of Danish national statistics
Locating specific demographic fact tables for data science projects