#en2wiki

A tabbed data table is a user‑interface pattern in which a dataset is divided across multiple tabs, with each tab displaying a portion of the data in a consistent table format. The tabs act as navigational controls, allowing users to switch between different subsets, categories, or views of the same structured dataset while remaining on a single page.

Core characteristics

• Single dataset, segmented display: the data belongs to one dataset but is shown in parts.
• Tabbed navigation: each tab represents a category, filter, or logical grouping.
• Consistent table structure: column layout and formatting remain the same across tabs.
• Reduced cognitive load: avoids long scrolling by breaking the dataset into manageable sections.
• Context continuity: users stay within the same interface while exploring different data slices.

Examples:

• Country codes listing the ISO 3166 Alpha 2 code for most countries of the world.
• #WWlgu hashtags listing systematically defined hashtags for local government units (lgu) of a country. These hashtags are unique "world wide", hence #WWlgu.
• #SDGs hashtags listing a hashtag for each sustainable development goal and each of their targets.
• Tabbed classification tables that include a "data element": the hashtag for the section, division, group, class or subclass defined in the Taxonomy:
  • #ISIC hashtags
  • #CPC hashtags
  • #COFOG hashtags

Source for the page : Copilot, asked on July 25, 2026. Links to other Societal architecture model elements and some modifications by the editor so as to better illustrate the relevance of the concept for #Tagcoding.