Enriching integrated statistical open city data by combining equational knowledge and missing value imputation
Several institutions collect statistical data about cities, regions, and countries for various
purposes. Yet, while access to high quality and recent such data is both crucial for decision
makers and a means for achieving transparency to the public, all too often such collections
of data remain isolated and not re-useable, let alone comparable or properly integrated. In
this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate,
and enrich statistical data collected at city level worldwide, and re-publish the resulting …
purposes. Yet, while access to high quality and recent such data is both crucial for decision
makers and a means for achieving transparency to the public, all too often such collections
of data remain isolated and not re-useable, let alone comparable or properly integrated. In
this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate,
and enrich statistical data collected at city level worldwide, and re-publish the resulting …
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