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.
Which Synonym Should You Choose?
Word | Description / Examples |
---|---|
nonuniformity |
This term is often used in scientific and technical contexts where there is a lack of uniformity or consistency in a subject.
|
variability |
Variability refers to the extent to which something can vary or change. It's commonly used in scientific, medical, or statistical fields.
|
diversity |
Diversity is usually used in social, cultural, or biological contexts to highlight a range of different types or varieties. It often has a positive connotation.
|
discrepancy |
Discrepancy is typically used when describing a difference or inconsistency between two or more things that should be the same. It often carries a slightly negative connotation.
|
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
Etymology
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.