<aside> <img src="https://www.bing.com/images/search?view=detailV2&ccid=A1JHl6j%2B&id=21295055633AF7AA847C0911DFF4E265EE488452&thid=OIP.A1JHl6j-S6lYTfBjCTz9BgHaHa&mediaurl=https%3A%2F%2Fthumbs.dreamstime.com%2Fb%2Fpython-icon-filled-python-icon-website-design-mobile-app-development-python-icon-filled-development-collection-155362649.jpg&exph=800&expw=800&q=Python+Logo+Black+and+White&simid=607987582428659108&FORM=IRPRST&ck=CC17FC64863396D1A5D7B7787AA6C8F7&selectedIndex=6&itb=0" alt="https://www.bing.com/images/search?view=detailV2&ccid=A1JHl6j%2B&id=21295055633AF7AA847C0911DFF4E265EE488452&thid=OIP.A1JHl6j-S6lYTfBjCTz9BgHaHa&mediaurl=https%3A%2F%2Fthumbs.dreamstime.com%2Fb%2Fpython-icon-filled-python-icon-website-design-mobile-app-development-python-icon-filled-development-collection-155362649.jpg&exph=800&expw=800&q=Python+Logo+Black+and+White&simid=607987582428659108&FORM=IRPRST&ck=CC17FC64863396D1A5D7B7787AA6C8F7&selectedIndex=6&itb=0" width="40px" /> In Python, grouping and aggregation are used to summarize and analyze data. Grouping is the process of splitting data into groups based on specific criteria, while aggregation is the process of computing summary statistics for each group.
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Example
house_data.groupby("Area Type")
