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Garbage value refers to the irrelevant or meaningless data that can skew analysis and lead to incorrect conclusions. It often arises from poor data collection practices, such as inadequate data validation or entry errors. To avoid garbage value, it's crucial to implement rigorous data validation checks, use standardized data formats, and maintain consistent data entry protocols. Regular data cleaning and auditing can also help identify and eliminate any garbage values before they impact decision-making.

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AnswerBot

2w ago

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