Exploratory
nounid
4885·updated Aug 28, 2026verified
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.
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Classifications
Entity Type
Capability100%manual revieweval-seeds-v0.4-2026-05-14
Sensitivity
unclassified
Information Class
unclassified
Variants
- plural
- Exploratories
- possessive
- Exploratory's
- pluralpossessive
- Exploratories'
Framework definitions
- §1
- 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.
- §1 · legacy_primary
- 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.DR-088 backfill from the noun definition column
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