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PYSPARK • LESSON 15

Summary Statistics with describe()

How can we compute statistical summary metrics (count, mean, stddev, min, max) for numeric columns?

Beginner2 Minutes165 XP
🤔 THE QUESTION

How can we compute statistical summary metrics (count, mean, stddev, min, max) for numeric columns?

💡 WHAT IS IT?

describe() computes fundamental summary statistics including count, mean, standard deviation, min, and max.

🎯 WHAT IS IT USED FOR?

Exploratory data analysis, detecting anomalous outliers in financial data, and data profiling.

💻 EXAMPLE
df.describe(["salary"]).show()

🎯 Mission Objectives

Practice typing production-grade PySpark code for Summary Statistics with describe().

  • Calculate summary statistics with describe()
  • Target specific numeric columns
  • Display statistical metrics table