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Statistical Data Processing with R – Metadata Driven Approach

Author

Listed:
  • Rudi SELJAK

    (Statistical Office of the Republic of Slovenia)

  • Jerneja PIKELJ

    (Statistical Office of the Republic of Slovenia)

Abstract

In recent years the Statistical Office of the Republic of Slovenia has put a lot of effort into re-designing its statistical process. We replaced the classical stove-pipe oriented production system with general software solutions, based on the metadata driven approach. This means that one general program code, which is parametrized with process metadata, is used for data processing for a particular survey. Currently, the general program code is entirely based on SAS macros, but in the future we would like to explore how successfully statistical software R can be used for this approach.Paper describes the metadata driven principle for data validation, generic software solution and main issues connected with the use of statistical software R for this approach.

Suggested Citation

  • Rudi SELJAK & Jerneja PIKELJ, 2016. "Statistical Data Processing with R – Metadata Driven Approach," Romanian Statistical Review, Romanian Statistical Review, vol. 64(2), pages 71-78, June.
  • Handle: RePEc:rsr:journl:v:64:y:2016:i:2:p:71-78
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    Citations

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    Cited by:

    1. Tudorel Andrei & Bogdan Oancea & Peter Richmond & Gurjeet Dhesi & Claudiu Herteliu, 2017. "Decomposition of the Inequality of Income Distribution by Income Types - Application for Romania," Papers 1709.07960, arXiv.org.

    More about this item

    Keywords

    Statistical software R; metadata driven systems; data validation;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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