Statistics


Ontology type: npg:Subject  | skos:Concept     


Concept Info

NAME

Statistics

DESCRIPTION

Statistics is the application of mathematical concepts to understanding and analysing large collections of data. A central tenet of statistics is to describe the variations in a data set or population using probability distributions. This analysis aids understanding of what underlies these variations and enables predictions of future changes.

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TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/ontologies/subjects/statistics'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/ontologies/subjects/statistics'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/subjects/statistics'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/subjects/statistics'


 

This table displays all metadata directly associated to this object as RDF triples.

43 TRIPLES      8 PREDICATES      10 URIs      4 LITERALS

Subject Predicate Object
1 sg:ontologies/subjects/statistics sgo:license sg:explorer/license/
2 sgo:sdDataset onto_subjects
3 rdf:type npg:Subject
4 skos:Concept
5 rdfs:label Statistics
6 skos:broader sg:ontologies/subjects/mathematics-and-computing
7 skos:definition Statistics is the application of mathematical concepts to understanding and analysing large collections of data. A central tenet of statistics is to describe the variations in a data set or population using probability distributions. This analysis aids understanding of what underlies these variations and enables predictions of future changes.
8 skos:inScheme sg:ontologies/subjects/
9 skos:prefLabel Statistics
10 sg:ontologies/subjects/ dcterms:description The Nature Subjects Taxonomy is a polyhierarchical categorization of scholarly subject areas which are used for the indexing of content by Springer Nature.
11 dcterms:title Nature Subjects Taxonomy
12 sgo:sdDataset onto_subjects
13 rdf:type skos:ConceptScheme
14 skos:hasTopConcept sg:ontologies/subjects/DEPRECATED
15 sg:ontologies/subjects/biological-sciences
16 sg:ontologies/subjects/business-and-commerce
17 sg:ontologies/subjects/earth-and-environmental-sciences
18 sg:ontologies/subjects/health-sciences
19 sg:ontologies/subjects/humanities
20 sg:ontologies/subjects/physical-sciences
21 sg:ontologies/subjects/scientific-community-and-society
22 sg:ontologies/subjects/social-science
23 sg:ontologies/subjects/mathematics-and-computing sgo:sdDataset onto_subjects
24 rdf:type npg:Subject
25 skos:Concept
26 rdfs:label Mathematics and computing
27 skos:broader sg:ontologies/subjects/physical-sciences
28 skos:definition Mathematics and computing is the study and analysis of abstract concepts, such as numbers and patterns. Mathematics is the language of choice for scientifically describing and modelling the universe and everything that happens within it. Computing enables these mathematical problems to be solved in an efficient and automated way.
29 skos:inScheme sg:ontologies/subjects/
30 skos:narrower sg:ontologies/subjects/applied-mathematics
31 sg:ontologies/subjects/computational-science
32 sg:ontologies/subjects/computer-science
33 sg:ontologies/subjects/information-technology
34 sg:ontologies/subjects/pure-mathematics
35 sg:ontologies/subjects/scientific-data
36 sg:ontologies/subjects/software
37 sg:ontologies/subjects/statistics
38 skos:prefLabel Mathematics and computing
39 skos:Concept sgo:sdDataset for_codes
40 rdf:type rdfs:Class
41 rdfs:Resource
42 rdfs:subClassOf rdfs:Resource
43 skos:Concept
 




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