Order Rank Percent
Find percent rank of each order.
The challenge runs on the SQLabHub practice database (SQLite) and uses the orders table. You can solve it in the browser, with nothing to install.
The task
Find percent rank of each order.
A correct answer returns 200 rows with 3 columns: id, total, pct.
Tables used in this challenge
orders 200 rows
id INTEGER (PK) · user_id INTEGER · total REAL · discount REAL · item_count INTEGER · status TEXT · order_date TEXT · shipped_date TEXT · shipping_city TEXT · shipping_country TEXT
| id | user_id | total | discount | item_count | status | order_date | shipped_date | shipping_city | shipping_country |
|---|---|---|---|---|---|---|---|---|---|
The first rows of each table are shown. See how all the tables relate on the database schema page.
Expected output
| id | total | pct |
|---|---|---|
First 5 of 200 rows. This is the output of the model solution on the practice database. The task does not fix a sort order, so your rows may come back in a different order.
What you practise
- Expressing a row's position as a fraction with PERCENT_RANK()
Hint and approach
Try the challenge first. Open these only when you need them.
Show the hint
PERCENT_RANK
Show the step-by-step approach
How the model solution is built, in the order the database evaluates it:
- Read from the
orderstable. - Compute
PERCENT_RANK(), the relative position from 0 to 1, ordered bytotaldescending.
Model solution
Checking your session…
What to watch for
- PERCENT_RANK(). PERCENT_RANK() returns a value between 0 and 1, not a percentage. Multiply by 100 to display it as one.
Related SQL challenges
- Calculate Salary Percentile Rank with PERCENT_RANK()Similar levelHard
- Calculate the Difference from the Previous Order with LAG()Similar levelHard
- Rank Orders by Total with DENSE_RANK()Similar levelHard
- Find Each Customer's Largest OrderSimilar levelHard
- Find Each Customer's First OrderSimilar levelHard
Keep learning
- Lesson: Window Functions
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