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Pandas Exercises with Automobile Dataset by lloooos is a document available to read on EtoBox.

What is Pandas Exercises with Automobile Dataset about?

This document provides exercises to practice data analysis using the Pandas library in Python. It uses an automobile dataset containing characteristics like price, mileage, and horsepower. The exercises include printing rows of data, finding the most expensive car company, filtering Toyota cars, counting cars per company, finding the highest priced car per company, calculating average mileage per company, sorting by price, concatenating dataframes, and merging dataframes.

Author

lloooos

Language

EN