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CRESTA (CRosstabulation to Exchangeable STAtistical data) is an end-to-end Python pipeline developed by Nano - BPS-Statistics Indonesia to automate the transformation of crosstabulations into exchangeable statistical data. It combines deterministic profiling, configurable AI-assisted classification, and a knowledge base of cross-domain codelists to support systematic reuse and governance of statistical concepts and codes.