a small library to check for data quality, either with spark or pandas

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License: MIT License (MIT)

Author: Jacopo Gobbi, Kateryna Konotopska

Tags data quality, completeness, deduplication, timeliness, freshness, constraint, rule, entropy, mutual information, spark, pandas

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Description at https://github.com/fruttasecca/hay_checker

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License: MIT License (MIT)

Author: Jacopo Gobbi, Kateryna Konotopska

Tags data quality, completeness, deduplication, timeliness, freshness, constraint, rule, entropy, mutual information, spark, pandas

Maintainers

Avatar for fruttasecca from gravatar.com fruttasecca

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0.0.1

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