Master SQL for Data Analysis - Creating a Window Function

The video tutorial explains how to create an SQL query that lists users with their age and the average age of users in the same city. It introduces the concept of window functions, specifically using the OVER clause, and demonstrates how to partition data by city. The tutorial also covers applying filters to refine query results, such as selecting users from a specific city like New York.

What is the purpose of using a window function in SQL?

• To create a new database

• To calculate values across a set of table rows related to the current row

• To delete rows from a table

• To update the structure of a database

Which SQL clause is used to define partitions in a window function?

• FILTER BY

• ORDER BY

• GROUP BY

• PARTITION BY

In the context of SQL window functions, what does the 'OVER' clause do?

• It updates the values in the table

• It deletes the specified rows

• It defines the window or set of rows for the function

• It specifies the columns to be selected

How can you filter results to show only users from New York in an SQL query?

• SELECT city = 'New York'

• WHERE city = 'New York'

• PARTITION BY city = 'New York'

• FILTER city = 'New York'

What additional information does the final SQL query provide for each user?

• The user's last login time

• The average age of users in the same city

• The user's phone number

• The user's email address