groupby — sum revenue per product — Python for Office Workers

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Task

If df has orders where product 'A' has revenue 100+150, product 'B' has revenue 200, product 'C' has revenue 50, what's the top product after groupby-sum-sort? Type just the letter.

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📋predict

Filter + rename + drop — DataFrame surgery

📋predict

pandas read_csv — the only function you need to start

📋predict

Excel output — openpyxl with auto-fit columns

🔮 Predict the output

Read the code carefully

What will the program print? Write here:

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💬 Discussion