alan-turing-institute/datadiff

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Overview Tabular data sets are common, and many data processing tasks must be repeated on multiple similar data samples. In practice, however, there may be unexpected changes in structure across different batches of data, which are likely to break the analytical pipeline. Datadiff identifies structural differences between pairs of (related) tabular data sets and returns an executable summary (or "patch") which is both a description of the differences and a corrective transformation. In making comparisons,...