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13.-Guide-to-Data-Quality (1).pdf (1.01 MB)

Guide to Data Quality

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A successful data analytics project requires a clean sample of data that is representative of the population of interest. The data typically comes from integrating a number of data sources, and the resulting dataset is rarely clean. This document discusses data quality issues that commonly arise in such as dataset, with examples from data typical of Higher Education.

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