## Pandas Groupby function using Python. Pivot Table in Python.

"This is one of the most useful analytics and preprocessing tools of Pandas. As the name Groupby suggests, it groups your data by something. Normally, you would want to group your data by categorical attributes. If you are familiar with SQL queries, Pandas groupby is almost identical to SQL groupby. For both SQL queries and Pandas queries, grouping your data by itself will not have any added value or any output, unless it is accompanied by an aggregate function. It replicates the Pivot Table function of MS Excel. We can replicate all the functionalities of excel pivot table in python using the groupby function. Categorizing a dataset and applying a function to each group, whether an aggregation or transformation, can be a critical component of a data analysis workflow. After loading, merging, and preparing a dataset, you may need to compute group statistics or possibly pivot tables for reporting or visualization purposes. pandas provides a versatile groupby interface, enabling you to slice, dice, and summarize datasets in a natural way."

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