Introduction
Nested CTEs
Summary

## Instruction

Excellent job. Another situation when nested CTEs can be useful is comparing two groups of items. Take a look:

WITH grouping AS (
SELECT
id AS city_id,
CASE WHEN region = 'Europe' THEN region ELSE 'Other' END AS group_name
FROM city
),

total_salesman_earnings AS (
SELECT
salesman_id,
group_name,
SUM(amount_earned) AS total_amount
FROM daily_sales d
JOIN salesman s
ON d.salesman_id = s.id
JOIN grouping g
ON g.city_id = s.city_id
GROUP BY salesman_id, group_name
)

SELECT
group_name,
AVG(total_amount)
FROM total_salesman_earnings s
GROUP BY group_name


We want to compare average earnings of salesman from Europe and other parts of the world. In the first CTE we define the groups: cities from Europe are labeled 'Europe', cities outside Europe are labeled 'Other'. In the second CTE, we compute the total amount earned for each salesman and combine this information with group definition for the salesman. In the outer query we compute the group-level average.

## Exercise

Compare the average number of items sold by salesman from USA (country = 'USA') and other countries in the world.

Name the group column group_name. In your query use values 'USA' and 'Other' to label the groups.

### Stuck? Here's a hint!

You have to modify the example query.