What are some common data validation errors and how can I fix them?
An example of an AI chatbot conversation about common data validation errors and their solutions.
What are some common data validation errors I might encounter?
Common data validation errors include missing values, incorrect formats, and out-of-range values.
How can I fix missing values in my dataset?
You can fix missing values by either removing the affected records, imputing values, or using default values.
What about incorrect formats? How do I handle those?
For incorrect formats, you can use regular expressions to validate and correct the data format.
And what if I have out-of-range values?
Out-of-range values can be addressed by setting acceptable limits and either correcting or removing the invalid entries.
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