Data cleaning involves finding and correcting errors, incomplete data, and inconsistencies in datasets to ensure accuracy and reliability for analysis. Clean data is crucial for businesses to avoid dysfunction and financial losses, support GDPR compliance, boost customer support and trust, and enhance efficiency. Tools like Excel, R, and Python libraries can facilitate more efficient data cleaning processes.
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