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Analysts report spending upwards of 80% of their time on problems in data cleaning including extraction, formatting, handling missing values, and entity resolution. As a part of the SampleClean project, we are developing scalable techniques for data cleaning and statistical inference on dirty data.

Source: sampleclean.org

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