Apache Spark 3 for Data Engineering and Analytics with Python - Get the Most Products Sold Together

The video tutorial guides viewers through the process of identifying products frequently sold together in New York using SQL. It covers data preparation, grouping order IDs, combining products into lists, and creating temporary tables. The tutorial concludes with analyzing product combinations and visualizing the results using a pie chart.

Describe the process of creating a temporary table for ordered product lists.

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What was the most common combination of products bought together according to the analysis?

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How did the teacher visualize the results of the product combinations?

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