Merge pull request codeharborhub#3128 from ananyag309/main

added leetcode soln of 2026

Author: ajay-dhangar

dsa-solutions/lc-solutions/2000-2099/2026-low-quality-problems.md

@@ -0,0 +1,73 @@
+---
+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;
+```