Histogram of revenue
After determining that Delivr is doing well at scaling its business model, Dave wants to explore the distribution of revenues. He wants to see whether the distribution is U-shaped or normal to see how best to categorize users by the revenue they generate.
Send Dave a frequency table of revenues by user.
This exercise is part of the course
Analyzing Business Data in SQL
Exercise instructions
- Store each user ID and the revenue Delivr generates from it in the
user_revenues
CTE. - Return a frequency table of revenues rounded to the nearest hundred and the users generating those revenues.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
WITH user_revenues AS (
SELECT
-- Select the user ID and revenue
___,
___ AS revenue
FROM meals AS m
JOIN orders AS o ON m.meal_id = o.meal_id
GROUP BY user_id)
SELECT
-- Return the frequency table of revenues by user
___ AS revenue_100,
___ AS users
FROM user_revenues
GROUP BY revenue_100
ORDER BY revenue_100 ASC;