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This work analyzes an Open Data corpus containing 200K tabular resources with a total file size of 413 GB from a data consumer perspective. Our study shows that ~10% of the resources in Open Data portals are labelled as a tabular data of which only 50% can be considered CSV files. The study inspects the general shape of these tabular data, reports on column and row distribution, analyses the availability of (multiple) header rows and if a file contains multiple tables. In addition, we inspect and analyze the table column types, detect missing values and report about the distribution of the values.
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Mitlöhner et al. (2016) studied this question.