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Learn essential Pandas data manipulation techniques in this 11-minute Python tutorial focusing on grouping and aggregating data. Master reading datasets, performing basic group by operations, and applying common aggregate functions like mean, sum, and count. Explore the versatile .agg function for complex aggregations and discover how to group data across multiple columns simultaneously. Practice with a provided flavor dataset while following along with downloadable code examples from GitHub to strengthen your data analysis capabilities in Python.
