---
description: Governs error handling and data validation practices, including data quality checks, missing data handling, and data type validation.
globs: **/*.py
---
- Implement data quality checks at the beginning of analysis.
- Handle missing data appropriately (imputation, removal, or flagging).
- Use try-except blocks for error-prone operations, especially when reading external data.
- Validate data types and ranges to ensure data integrity.