DataFrame Creation with Column Names

How do we instantiate an employee compensation DataFrame with explicit column naming?

Beginner⏱ 2 Minutes⭐ 130 XP

🤔 THE QUESTION

How do we instantiate an employee compensation DataFrame with explicit column naming?

💡 WHAT IS IT?

Creating a DataFrame by passing a sequence of records alongside a list of string column identifiers.

🎯 WHAT IS IT USED FOR?

Unit testing compensation calculators, ETL transformation logic, and departmental metrics pipelines.

💻 EXAMPLE

schema = ["emp_id", "department", "salary"]
df = spark.createDataFrame([
    (1, "Engineering", 95000),
    (2, "Analytics", 88000)
], schema)

Practice typing production-grade PySpark code for DataFrame Creation with Column Names.