What are the best practices for data validation?
An example of an AI chatbot conversation about data validation best practices.
What are the best practices for data validation?
Best practices for data validation include defining clear validation rules, using automated validation tools, and ensuring data integrity.
Can you give me examples of validation rules?
Sure! Examples include checking for required fields, ensuring data types match (e.g., numbers vs. text), and setting value ranges.
How can I automate data validation?
You can automate data validation by using libraries or frameworks that support validation, like Joi for JavaScript or Pandas for Python.
What are common pitfalls in data validation?
Common pitfalls include overlooking edge cases, not validating user input, and failing to update validation rules as requirements change.
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