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---
id: low-quality-problems
title: Low-Quality Problems
sidebar_label: 2026 Low-Quality Problems
tags:
- SQL
---

## Problem Description

You are given a table `Problems` with columns `problem_id`, `likes`, and `dislikes`. The `problem_id` is the primary key column representing the ID of each LeetCode problem, while `likes` and `dislikes` represent the number of likes and dislikes for each problem, respectively.

Write an SQL query to report the IDs of the low-quality problems. A LeetCode problem is considered low-quality if the like percentage (likes / (likes + dislikes)) is strictly less than 60%.

Return the result table ordered by `problem_id` in ascending order.

### Examples

**Example 1**

```
Input

Problems table:
+------------+-------+----------+
| problem_id | likes | dislikes |
+------------+-------+----------+
| 6 | 1290 | 425 |
| 11 | 2677 | 8659 |
| 1 | 4446 | 2760 |
| 7 | 8569 | 6086 |
| 13 | 2050 | 4164 |
| 10 | 9002 | 7446 |
+------------+-------+----------+

Output:*

+------------+
| problem_id |
+------------+
| 7 |
| 10 |
| 11 |
| 13 |
+------------+

Explanation:
The like percentages are as follows:
- Problem 1: (4446 / (4446 + 2760)) * 100 = 61.69858%
- Problem 6: (1290 / (1290 + 425)) * 100 = 75.21866%
- Problem 7: (8569 / (8569 + 6086)) * 100 = 58.47151%
- Problem 10: (9002 / (9002 + 7446)) * 100 = 54.73006%
- Problem 11: (2677 / (2677 + 8659)) * 100 = 23.61503%
- Problem 13: (2050 / (2050 + 4164)) * 100 = 32.99002%

Problems 7, 10, 11, and 13 are low-quality problems because their like percentages are less than 60%.
```

### Approach

To solve this problem, we need to:
1. Calculate the like percentage for each problem using the formula `(likes / (likes + dislikes)) * 100`.
2. Select the `problem_id` where the calculated like percentage is less than 60%.
3. Order the results by `problem_id` in ascending order.

#### SQL Query

```sql
SELECT problem_id
FROM Problems
WHERE likes * 100 / (likes + dislikes) < 60
ORDER BY problem_id;
```