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| # src/data_loader.py | |
| import pandas as pd | |
| def load_data(file_path: str) -> pd.DataFrame | None: | |
| try: | |
| if file_path.endswith('.csv'): | |
| df = pd.read_csv(file_path) | |
| elif file_path.endswith(('.xls', '.xlsx')): | |
| df = pd.read_excel(file_path) | |
| else: | |
| print("Unsupported file format.") | |
| return None | |
| # Basic validation: Ensure 'Department' column exists. | |
| # Subject-specific columns will be handled by the preprocessor. | |
| if 'Department' not in df.columns: | |
| print("Missing required column: 'Department'") | |
| return None | |
| print("Data loaded successfully (wide format).") | |
| return df | |
| except Exception as e: | |
| print(f"Error loading data: {e}") | |
| return None |