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Ensure uniform string formatting across datasets by capitalizing text fields for consistency.
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Standardize data types to maintain accuracy—easily convert fields like age to integers.
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Set acceptable value ranges, such as checking that ages are within 18 to 60, and apply defaults for outliers.
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Quickly check email formats for validity, replacing any invalid emails with a standard placeholder.
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Identify and fill missing data points (e.g., set default salary values for missing entries) to keep datasets complete.
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Convert various date formats to a single standard for easier comparisons and analysis.
Image Source: ideogram
Replace negative values in fields like salary or age with zero or a specified default for logical consistency.