Nulls can significantly affect aggregate functions in SQL and other data analysis contexts. For example, when calculating averages, null values are typically ignored, which can lead to skewed results if a substantial number of records contain nulls. Similarly, functions like COUNT only consider non-null entries, potentially underreporting the number of entries in a dataset. As a result, it's essential to handle nulls appropriately to ensure accurate calculations and analyses.
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