Virtual tabular data generation method and server performing the same

A server comprising:

• a processor;
• a memory configured to load a computer program executed by the processor;
• and
• a database configured to store data generated in an execution process of the computer program,
• wherein the computer program comprises:
• generating a first prompt for generating a table schema;
• applying the first prompt to a deep-learning module and receiving the table schema as an output of the deep-learning module;
• calibrating a table schema by comparing the table schema generated based on the first prompt with a predefined reference table schema;
• generating a second prompt by referring to the calibrated table schema;
• applying the second prompt to the deep-learning module and receiving first tabular data as an output of the deep-learning module;
• generating table condition data for the first tabular data by comparing each column included in the first tabular data with predefined condition data;
• generating a third prompt by referring to the table condition data and the calibrated table schema;
• deriving final tabular data through a verification operation on second tabular data generated based on the third prompt;
• and
• storing the final tabular data in the database.