Enhanced value cleaning and validation for spreadsheet data with dynamic handling of columns and corrections. Improved feedback for users with detailed error messages and visual indicators for corrected or defaulted values. Simplified backend and frontend logic for better maintainability and usability.
Introduced a backend mapping for column expected types, improving validation and error handling. Updated UI to highlight default and corrected values, with additional detailed validation for data collection parameters.
Introduced a backend mapping for column expected types, improving validation and error handling. Updated UI to highlight default and corrected values, with additional detailed validation for data collection parameters.