Statistical Data Cleaning With Applications In R -

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 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 Statistical Data Cleaning with Applications in R

Data that has been checked against domain-specific rules and logical restrictions. Key Methodology and R Applications Central to the authors' philosophy is the concept of the

The authors emphasize that data cleaning is not just about removing errors but about identifying them through . Statistical Data Cleaning with Applications in R It provides a systematic framework for transforming "raw"

3 Comments

  1. Statistical Data Cleaning with Applications in R
    Cindy Lewis on

    I remember the when Czechoslovakia became communist as my family was beside themselves in the US. We had family there and my grandmother went to visit in 1972. She came home most sad. I am sure this era of communism changed the country. I look at people like Madeline Allbright who was Czech and Secretary of State during the Clinton Administration. An extremely intelligent woman. Many of my Uncles were musicians in the Orchestra. Some were engineers, artists, and some farmers.

  2. Statistical Data Cleaning with Applications in R
    Terri Harding on

    Good for you, you put the majority of us Brits to shame. I am in need of a masseuse, I already see a chiropractor but a massage I believe would help me. I live in Brixham so not really that far

    • Statistical Data Cleaning with Applications in R

      If you’re over 50, Terry, you could pop into Age UK in Cowick Street, Exeter where Eva practices 🙂

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