IDEAS home Printed from https://ideas.repec.org/a/rsr/journl/v66y2018i1p31-44.html
   My bibliography  Save this article

Automation of Publications in Official Statistics using R

Author

Listed:
  • Guido Schulz

    (Federal Statistical Office of Germany (Destatis))

Abstract

A key task of official statistical authorities is to collect and disseminate indicators periodically. Automation using a wide range of R packages bears massive potential to cut down the resources necessary for the creation of publications. Furthermore, automation in R has the potential to improve transparency, punctuality and coherence of statistical products. The dynamic reporting engine knitr in particular allows for an efficient combination of R’s functionalities of data retrieval, data manipulation and customizable plotting on the one hand, and the layout and typesetting flexibility of LaTex or other markup languages on the other. This allows official statistical authorities to produce either ready-to-print PDFs or interactive websites while adhering to their corporate design requirements. Furthermore, dynamic reporting makes it possible to update periodic publications automatically. A work in progress example of automated statistical country profiles – a product the German Federal Statistical Office regularly publishes based on a wide range of official international sources – will be presented to illustrate both advantages and challenges in the practical use of dynamic reporting using R and knitr in particular.

Suggested Citation

  • Guido Schulz, 2018. "Automation of Publications in Official Statistics using R," Romanian Statistical Review, Romanian Statistical Review, vol. 66(1), pages 31-44, March.
  • Handle: RePEc:rsr:journl:v:66:y:2018:i:1:p:31-44
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/wp-content/uploads/2018/03/RRS_1_2018_A03.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    R; Automation; Dynamic Reporting; Official Statistics; knitr;
    All these keywords.

    JEL classification:

    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts
    • Y50 - Miscellaneous Categories - - Further Reading - - - Further Reading

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rsr:journl:v:66:y:2018:i:1:p:31-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.