Calculate Rating Variance per Product Without a VARIANCE Function
Return each product with the variance of its review ratings, most consistent first.
The challenge runs on the SQLabHub practice database (SQLite) and uses the reviews table. You can solve it in the browser, with nothing to install.
The task
Find products with minimal variance in rating.
A correct answer returns 93 rows with 2 columns: product_id, variance.
Tables used in this challenge
reviews 180 rows
id INTEGER (PK) · product_id INTEGER · user_id INTEGER · rating INTEGER · comment TEXT · reviewed_at TEXT · helpful_votes INTEGER
| id | product_id | user_id | rating | comment | reviewed_at | helpful_votes |
|---|---|---|---|---|---|---|
The first rows of each table are shown. See how all the tables relate on the database schema page.
Expected output
| product_id | variance |
|---|---|
First 5 of 93 rows. This is the output of the model solution on the practice database.
What you practise
- Summarising many rows into one value with COUNT, SUM, AVG, MIN or MAX
- Grouping rows with GROUP BY to get one result row per group
- Sorting the result with ORDER BY
- Deriving a new column from an expression and naming it with an alias
Hint and approach
Try the challenge first. Open these only when you need them.
Show the hint
variance logic
Show the step-by-step approach
How the model solution is built, in the order the database evaluates it:
- Read from the
reviewstable. - Group the rows by
product_id, so the result has one row for each value. - For each group, compute
AVG(rating * rating)andAVG(rating). - Calculate
variancefrom those aggregates:AVG(rating * rating) - AVG(rating)*AVG(rating). - Sort the result by
variance.
Model solution
Checking your session…
What to watch for
SQLite has no VARIANCE or STDDEV. Population variance equals the mean of the squares minus the square of the mean: AVG(x * x) - AVG(x) * AVG(x). A product with a single review has a variance of 0, so those sort first.
- GROUP BY. Every selected column must either be in GROUP BY or sit inside an aggregate. SQLite accepts other columns and returns an arbitrary value for them; most databases raise an error.
- Calculated columns. Dividing one integer by another truncates the result in SQLite. Multiply one side by 1.0 to get decimals.
- ORDER BY. Without ORDER BY the row order is not guaranteed, even if it looks stable. Rows that tie on the sort columns can come back in any order.
Related SQL challenges
- Rank Products by Their Average Review RatingSimilar levelHard
- Calculate Each Customer's Order Range (Max Minus Min)Similar levelHard
- Count Orders by Status with GROUP BYEasierEasy
- Salary Statistics per Department: Count, Avg, Min and MaxEasierMedium
- Find the Best-Selling Products by QuantityEasierMedium
Same technique, other tables
More practice on this pattern with different columns:
Keep learning
- Lesson: GROUP BY
- Lesson: Comments & Aliases
- Lesson: ORDER BY
- Lesson: Aggregate Functions
- All SQL practice challenges, by difficulty and topic
- SQL interview questions with answers
- SQL Playground: run any query on the same database