Python Pandas Tutorial | Grouping and Aggregating | Analyzing and Exploring Your Data | Data is Good

Grouping is used to group data using some criteria. It is used as split-apply-combine strategy. Splitting the data into groups based on some criteria. Applying a function to each group independently. Combining the results into a data structure.

An aggregation function is one which takes multiple individual values and returns a summary. The most common aggregation functions are a simple average or summation of values.

In this video, you will learn about Grouping and Aggregating in Pandas.

"Welcome to this Python Pandas Tutorial for beginners. In this tutorial you will learn concept of grouping, aggregating in pandas. This tutorial will help you in understanding how to Analyzw and Explore Your Data with examples.
Introduction to Grouping and Aggregating in Python: Grouping is used to group data using some criteria. It is used as split-apply-combine strategy. Splitting the data into groups based on some criteria. Applying a function to each group independently. Combining the results into a data structure.
An aggregation function is one which takes multiple individual values and returns a summary. The most common aggregation functions are a simple average or summation of values."

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