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Project 2 Restaurant Analytics

Consolidated multiple NY restaurant datasets containing near 500000 records. Applied data cleaning, transformation and normalization techniques and leveraged the Levenshtein metric to remove duplicate entries. Data was written to a PostgreSQL database using a schema in 1NF.

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