A data scientist computes Spark DataFrame summary statistics before training. What is the main purpose?

1. Prove that every record is free of leakage
2. Replace the need for a separate evaluation dataset
3. Automatically select the best possible predictive algorithm
4. Identify distribution, missingness, and scale issues worth investigating