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Data Engineering
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All Lectures (Practice)
L0 — Introduction & Basic Data Types
L1 — Fundamental Database Concepts & Conceptual Modeling
L2 — The Relational Data Model
L3 — Functional Dependencies
L4 — Relational Algebra and SQL Queries
L5 — Normal Forms
L6 — Graph Databases & Cypher
L7 — Descriptive Statistics and Data Normalization
L8 — Data Bias: Modalities, Detection, and Mitigation
L9 — Outlier Detection: Isolation Forests and the Local Outlier Factor
Q 1 / 98
A dataset contains ZIP codes (e.g. 90210, 10115). How should this variable be classified?
A
Quantitative — discrete, because ZIP codes are integers
B
Categorical — ordinal, because larger ZIP codes come from different regions
C
Categorical — nominal, because arithmetic on ZIP codes is meaningless
D
Quantitative — continuous, because ZIP codes are real numbers
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