How can we validate that sensor readings and monetary values fall within realistic physical boundaries?
The between() condition verifies that numeric values satisfy strict lower and upper business bounds.
Filtering corrupted IoT temperature readings, invalid discount percentages, or negative ages.
df_clean_range = df.filter(col("temperature").between(-50, 150) & col("discount_pct").between(0.0, 1.0))Practice typing production-grade PySpark code for Range & Threshold Boundary Validation.