step-by-step approach to clean religion dataset
- Standardized column names by replacing spaces with underscores
- Removed rows with missing values to ensure data quality
- Stripped leading/trailing spaces from string fields
- Converted numeric columns to appropriate data types
- Removed duplicate entries for consistency