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The pandas “groupby“ method allows you to split a DataFrame into groups, apply a function to each group independently, and then combine the results back together. This is called the “split-apply-combine“ pattern, and is a powerful tool for analyzing data across different categories. In this video, I'll explain when you should use a groupby and then demonstrate its flexibility using four different examples. SUBSCRIBE to learn data science with Python: JOIN the “Data School Insiders“ community and receive exclusive rewards: == RESOURCES == GitHub repository for the series: “groupby“ documentation: “agg“ documentation: “plot“ documentation:
