GroupBy and Aggregate Functions

In this lesson, we will learn groupby() and aggregate functions in Pandas. We will understand how to group data by columns such as category, city, and product, and how to calculate totals, averages, minimums, maximums, and counts. ## Lesson objective In this lesson, we will learn and aggregate functions in Pandas. In the previous lessons, we learned how to create DataFrames, read data from files, select columns, filter rows, and perform basic data cleaning. However, in real data analytics, looking at individual rows is often not enough. Very often, we need to analyze data by groups.