In R | Statistical Data Cleaning With Applications

The book by Mark van der Loo and Edwin de Jonge redefines data cleaning from a tedious chore into a rigorous, automated statistical discipline. It provides a systematic framework for transforming "raw" data into "valid" data ready for analysis, primarily using the R programming language. The Statistical Value Chain

Central to the authors' philosophy is the concept of the . This framework views data processing as a series of steps that increase the data’s value: Raw Data: The initial, unrefined input.

The authors emphasize that data cleaning is not just about removing errors but about identifying them through . Statistical Data Cleaning with Applications in R

Data with consistent types (e.g., numeric, character) and structures (e.g., tidy tables).

In R | Statistical Data Cleaning With Applications

The book by Mark van der Loo and Edwin de Jonge redefines data cleaning from a tedious chore into a rigorous, automated statistical discipline. It provides a systematic framework for transforming "raw" data into "valid" data ready for analysis, primarily using the R programming language. The Statistical Value Chain

Central to the authors' philosophy is the concept of the . This framework views data processing as a series of steps that increase the data’s value: Raw Data: The initial, unrefined input. Statistical Data Cleaning with Applications in R

The authors emphasize that data cleaning is not just about removing errors but about identifying them through . Statistical Data Cleaning with Applications in R The book by Mark van der Loo and

Data with consistent types (e.g., numeric, character) and structures (e.g., tidy tables). character) and structures (e.g.