Sektorvis

Sektorvis is a data-analytic approach that organizes information by sectors, such as agriculture, industry, and services, or by organizational units. The aim is to enable sector-level comparisons, trend analysis, and policy assessment. The term is used in economics, statistics, and planning to describe analyses conducted on a sector basis rather than across the dataset as a whole.

In practice, sektorvis is applied in macroeconomic statistics to present indicators like GDP, employment, or investment by sector. It is also used in environmental accounting to allocate emissions or resource use to sectors, in corporate reporting to report performance by business lines, and in urban or regional planning to map activity by sector such as housing, transport, or energy.

Methodology typically involves defining a sector taxonomy, aligning data to a standard sector classification (for example ISIC, NAICS, or national breakdowns), collecting sector-specific data, and then aggregating or comparing across sectors. Analysts may compute sector shares, growth rates, or productivity metrics and visualize differences over time or across regions.

Advantages of sektorvis include improved clarity, comparability, and targeted policy insights, while limitations include sensitivity to sector definitions, potential data gaps, and the risk of overlooking cross-sector linkages.

An example: a national labor report may show rising employment in services while manufacturing declines, signaling structural shifts in the economy. See also sectoral analysis, industry classification, and statistical reporting by sector.