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Every dataset has a `geo` dimension (Norway is\n\"NO\", the EU aggregate \"EU27_2020\") and a `time` dimension whose codes\nfollow the dataset's frequency: \"2023\" (annual), \"2023-Q1\" (quarterly),\n\"2023-01\" (monthly). Pass dimension ids and value codes to\nget_table_data(). 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Codes are case-insensitive. An omitted dimension returns all its values, so filter at least one non-time dimension; unfiltered datasets run to tens or hundreds of MB and are refused. 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