Affiliations: [a] Eurostat, European Commission, Luxembourg, Luxembourg | [b] Department of Statistics, Athens University of Economics and Business, Athens, Greece | [c] Quantos S.A. Statistics and Information Systems, Athens, Greece | [d] Arηs Development, Esch-sur-Alzette, Luxembourg
Correspondence:
[*]
Corresponding author: Martin Karlberg, Eurostat, European Commission, L-2920 Luxembourg, Luxembourg. Tel.: +352 4301 35934; E-mail: [email protected].
Abstract: Many statistical classifications exist in a statistical ecosystem, where they are interlinked with other classifications. When statistics on the same topic are compiled using different classifications, they need to be transformed in order to become comparable by means of a correspondence table – but sometimes, no correspondence table between the two classifications involved exists. This paper presents the newly developed ‘correspondenceTables’ R package, available on CRAN, which automates much of the ‘mechanical’ work required for developing a correspondence table (thus allowing statistical classification experts to focus on tasks with higher value added). Moreover, the paper presents lessons learned along the way, including unforeseen quality issues with the input data (that required considerable efforts to be successfully tackled), and outlines areas for future improvement.
