MLchartDataset catalogue

Multivariate data

Term · Chemistry · MLC-T-CHM-007691

A dataset where each observation or sample is characterized by measurements of multiple variables. This type of data is common in analytical chemistry, where a single sample might yield numerous spectral intensities, chromatographic peak areas, or other analytical signals. Statistical methods like principal component analysis are used to analyze and interpret such complex datasets.

Table 1. Record
IdentifierMLC-T-CHM-007691
FieldChemistry
SubjectAnalytical Chemistry
ReferencesPAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 411 (https://doi.org/10.1515/pac-2015-0605)
Record as JSON
{
  "id": "MLC-T-CHM-007691",
  "term": "Multivariate data",
  "field": "Chemistry",
  "definition": "A dataset where each observation or sample is characterized by measurements of multiple variables. This type of data is common in analytical chemistry, where a single sample might yield numerous spectral intensities, chromatographic peak areas, or other analytical signals. Statistical methods like principal component analysis are used to analyze and interpret such complex datasets.",
  "subject": "Analytical Chemistry",
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 411 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/multivariate-data/"
}

Record 8,157 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.