Exploratory data analysis

{
  "id": "MLC-T-CHM-004235",
  "term": "Exploratory data analysis",
  "field": "Chemistry",
  "definition": "An approach to data analysis that emphasizes graphical representation and data visualization to reveal underlying structures, identify anomalies, and suggest hypotheses. It precedes formal modeling and statistical hypothesis testing, focusing instead on gaining intuition about the dataset's characteristics. Techniques include principal component analysis (PCA) for dimensionality reduction, plotting histograms to check distributions, and creating scatter plots to observe correlations between variables.",
  "synonyms": [
    "initial data analysis"
  ],
  "subject": "Analytical Chemistry",
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 410 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/exploratory-data-analysis/"
}