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PYSPARK โ€ข LESSON 15

Summary Statistics with describe()

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

Beginnerโฑ 2 Minutesโญ 165 XP
๐Ÿค” THE QUESTION

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

๐Ÿ’ก WHAT IS IT?

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

๐ŸŽฏ WHAT IS IT USED FOR?

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

๐Ÿ’ป EXAMPLE
df.describe(["salary"]).show()

๐ŸŽฏ Mission Objectives

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

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