import pandas as pd

# Sample employee data with intentional quality issues
data = {
    'id': [1, 2, 3, 4, 5],
    'name': ['Frank Wilson', 'Grace Lee', 'Henry Brown', 'Iris Taylor', 'Jack Anderson'],
    'email': ['frank@company.com', 'grace-no-at', 'henry@company.com', 'iris@company.com', 'jack@company.com'],
    'department': ['Engineering', 'Finance', 'Marketing', 'Sales', 'HR'],
    'salary': [105000, 88000, -10000, 92000, 79000],
    'hire_date': ['2023-02-10', '2023-04-15', '2023-06-20', '2022-12-05', '2024-02-14'],
    'status': ['active', 'active', 'inactive', 'active', 'active']
}

df = pd.DataFrame(data)

# Create Excel file
excel_path = 'd:/Github/_SaaS/lakelogic/examples/03_data_sources/files/excel/data/employees.xlsx'
df.to_excel(excel_path, index=False, sheet_name='Employees', engine='openpyxl')

print(f"Excel file created: {excel_path}")
print(f"Shape: {df.shape}")
print(df)
