Stub entry: single definition derived from the NIST trustworthy-AI glossary; sector-specific readings not yet documented — contributions welcome.
Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (mostly graphical) to 1. maximize insight into a data set; 2. uncover underlying structure; 3. extract important variables; 4. detect outliers and anomalies; 5. test underlying assumptions; 6. develop parsimonious models; and 7. determine optimal factor settings.
NIST AIRC, The Language of Trustworthy AI glossary (public-domain compilation), entry 'exploratory', definition attributed to nist_statistics_2012