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You have sales data with columns: date, store_id, product, quantity, revenue. Explain how you would use Pandas to: (1) calculate total revenue per store, (2) find the top 5 best-selling products by quantity, and (3) create a new column showing revenue per unit.

You have sales data with columns: date, store_id, product, quantity, revenue. Explain how you would use Pandas to: (1) calculate total revenue per store, (2) find the top 5 best-selling products by quantity, and (3) create a new column showing revenue per unit.

What method would you use to sort a DataFrame by the ‘Price’ column in descending order?

What method would you use to sort a DataFrame by the ‘Price’ column in descending order?

Given a DataFrame df, what does df[df[‘Sales’] > 1000] return?

What does continue do inside a loop?

Given a DataFrame df, what does df[df[‘Sales’] > 1000] return?

Which method would you use to read a CSV file into a Pandas DataFrame?

To select rows by their integer position (e.g., the first 5 rows), you use __.

What is the main difference between a Pandas Series and a DataFrame?