Gain insights into data science with easy-to-follow, hands-on explanations. Explore essential concepts quickly and efficiently, even without prior statistics knowledge, for a career boost.

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Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. 

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Grokking Data Science

### 6. Grouping

Things start looking really interesting when we group rows with certain criteria and then aggregate their data. 

Say we want to group our dataset by director and see **how much revenue (sum) each director earned at the box-office and then also look at the average rating (mean) for each director**. We can do this by using the`groupby` operation on the column of interest, followed by the appropriate aggregate (*sum/mean*), like so:


# 6. Grouping

Things start looking really interesting when we group rows with certain criteria and then aggregate their data. 

Say we want to group our dataset by director and see **how much revenue (sum) each director earned at the box-office and then also look at the average rating (mean) for each director**. We can do this by using the`groupby` operation on the column of interest, followed by the appropriate aggregate (*sum/mean*), like so:


Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

Pandas DataFrame Operations - Grouping and Sorting

6. Grouping