Скачать или смотреть How to Use crosstab() to Analyze Relationships Between Columns | PySparkTutorial

Learn how to use the crosstab() function in PySpark to explore and analyze relationships between two categorical columns. In this tutorial, you'll create frequency tables (similar to pivot tables) that help reveal correlations and patterns in your dataset.

✅ What You’ll Learn:

How DataFrame.stat.crosstab() works in PySpark

Create two-way frequency tables to compare column values

Real-world examples of analyzing user behavior, purchases, and categorical data

Differences between crosstab(), pivot(), and groupBy()

💡 Ideal for data engineers, analysts, and data scientists performing exploratory data analysis (EDA) on large datasets using PySpark.
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