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AI Features

Introduction to Grouping

Explore how to group DataFrames by single or multiple columns using Pandas. Understand grouping syntax, aggregation functions, and data segmentation strategies applicable in real-world scenarios like travel and medical datasets to better analyze and interpret data.

Concept

The ability to group or segment DataFrames by one or more columns is one of the key features of any data analysis application. Therefore it would most likely show up in a data analysis interview or task.

The idea is to divide a DataFrame into multiple groups to analyze each group separately.

Syntax

As a reminder, the syntax ...