What is the Difference Between axis=0 and axis=1 When Working with Pandas Dataframes?

This article provides a clear, hands-on explanation of the difference between axis=0 and axis=1 when working with Pandas DataFrames in Python. Using a car sales dataset, it walks through two scenarios: calculating the average number of cars sold for each color (axis=0) and calculating the average number of cars sold per row (axis=1). The tutorial includes code examples, a CSV file reference, and a step-by-step breakdown to help beginners understand how axis affects operations like mean(). It is a practical guide for data analysis and Python programming.