PySpark, SQL, and Scala offer methods to handle null values, including filling them with specified values and dropping rows or columns with null values.
In PySpark, null values in a column can be filled using withColumn() and when() functions, or dropped using dropna().
SQL provides COALESCE() for filling null values in a specific column and WHERE statements for dropping rows with null values.
Scala's DataFrame allows filling nulls with fill() and dropna() functions for handling null values.
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