Nonuniformity: meaning, definitions and examples
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nonuniformity
[ ˌnɒnjuːnɪˈfɔːmɪti ]
in data analysis
The lack of uniformity or consistency in a dataset, where the values vary significantly from one another.
Synonyms
discrepancy, diversity, variability
Examples of usage
- Nonuniformity in the dataset makes it challenging to draw meaningful conclusions.
- The nonuniformity of the data points led to difficulties in predicting future trends.
Translations
Translations of the word "nonuniformity" in other languages:
🇵🇹 não uniformidade
🇮🇳 असमानता
🇩🇪 Ungleichmäßigkeit
🇮🇩 ketidakseragaman
🇺🇦 неоднорідність
🇵🇱 niejednorodność
🇯🇵 不均一
🇫🇷 non-uniformité
🇪🇸 no uniformidad
🇹🇷 düzensizlik
🇰🇷 불균일성
🇸🇦 عدم التجانس
🇨🇿 nepravidelnost
🇸🇰 nerovnomernosť
🇨🇳 不均匀性
🇸🇮 neenakomernost
🇮🇸 ójöfnuður
🇰🇿 біркелкі емес
🇬🇪 არათანაბრობა
🇦🇿 qeyri-bərabərlik
🇲🇽 no uniformidad
Word origin
The term 'nonuniformity' originates from the combination of 'non-' meaning 'not' and 'uniformity' referring to consistency or similarity. In the context of data analysis, the concept of nonuniformity has gained prominence with the increasing complexity of datasets and the need to address variations in data values.
See also: uniform, uniformity, uniformly.