"Impute" means to assign or attribute a value, responsibility, or action to someone or something, often based on indirect evidence or assumption. The term is commonly used in various fields like law, finance, statistics, and data analysis, but its core meaning remains centered around attribution without direct confirmation.
For example, in law, if someone benefits from a wrongful act but didn’t commit it, the law may impute liability to them based on their involvement. In data science, if a data value is missing, we may impute that value based on similar records or averages to complete the dataset. In both cases, the idea is to assign something that wasn’t explicitly stated or observed but is inferred based on logic, context, or patterns.
Imputation plays a critical role in decision-making, accountability, and analysis, especially when direct information is missing or unclear.
Without imputation, many systems, legal, financial, and analytical, would struggle to function reliably when direct evidence or complete data isn’t available. Imputation helps fill those gaps responsibly and logically.