- New concept from SDMX Glossary 2.1
- SERIES
- https://purl.semanticip.org/linked-data/sdmxsrlocalization/Glossary/Series
TTL - Series
- Time series
Set of data observations disambiguated by the values of a single dimension, usually time.
Series are an ordered sequence of qualitative or quantitative data samples or observations used to predict or demonstrate trends through time and space. The series can be classified by the criteria used to arranged them: time (historical or chronological), geolocation (spatial or geographical), occurrence (condition or frequency).
Time series is a basic building block of many datasets. It groups data that share the same dimension values except for the time dimension, allowing users to see changes in data over time, holding all other dimensions constant. Series is the generic concept, of which time series is the most common example. A series can be disambiguated by any single dimension, as long as the values for other dimensions do not change.
- Break reason, Series key
Used in the following terms: Adjustment, Attachment level, Base period, Break reason, Coherence - internal
More (18)
Comment, Data Set, Data Structure Definition, Data revision - practice, Dimension, Frequency of data collection, Frequency of observation, Incremental update, Observation pre-break value, Price adjustment, SDMX-EDI, Seasonal adjustment, Sibling group, Time coverage, Time period, Time transformation, Title complement, Title
Backlinks: 10 Constraints , 12 Constraints, 13 Structure Mapping , 14 ANNEX Semantic Versioning , 14 Process