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Category: Variables
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Cycle (Graph)
Dimension (Data)
Distribution (Data)
Outcome (variable)
Observed / unobserved variable
Confounding / Confounder (Variable)
Common Cause (variable)
Data types
Independence (Samples and Variables)
Linearity and Non-linearity
Graph (mathematics)
Variables
Domain Knowledge
Cardinality
Backdoor variable
Frontdoor variable
Dataset (Tabular, Matrix)
Check (Verification and Identification)
Control and Treated values for Treatment variable
Directed Acyclic Graph (DAG)
Treatment (variable)
Controlling for and Conditioning on a Variable
Causal Diagram
Effect modifier (variable)
Correlation, Association and Causality
Sample (Sample Unit)
Feature Importance (Model Explainer tools)