Last updated on March 10th, 2025 at 10:59 pm
Here, we see the Project Employees I LeetCode Solution. This Leetcode problem is solved using MySQL and Pandas.
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Level of Question
Easy

Project Employees I LeetCode Solution
Table of Contents
1. Problem Statement
Column Name | Type |
project_id | int |
employee_id | int |
Project
(project_id, employee_id) is the primary key of this table. employee_id is a foreign key to Employee
table. Each row of this table indicates that the employee with employee_id is working on the project with project_id.
Column Name | Type |
employee_id | int |
name | varchar |
experience_years | int |
Employee
employee_id is the primary key of this table. It’s guaranteed that experience_years is not NULL. Each row of this table contains information about one employee.
Write an SQL query that reports the average experience years of all the employees for each project, rounded to 2 digits.
Return the result table in any order.
The query result format is in the following example.
Example 1:
Input:
project_id | employee_id |
1 | 1 |
1 | 2 |
1 | 3 |
2 | 1 |
2 | 4 |
employee_id | name | experience_years |
1 | Khaled | 3 |
2 | Ali | 2 |
3 | John | 1 |
4 | Doe | 4 |
Output:
project_id | average_years |
1 | 2.00 |
2 | 2.50 |
Explanation: The average experience years for the first project is (3 + 2 + 1) / 3 = 2.00 and for the second project is (3 + 2) / 2 = 2.50
2. Code Implementation in Different Languages
2.1 Project Employees I MySQL
select project_id, round( avg(experience_years), 2 ) as average_years from Project as p left join Employee as e on p.employee_id = e.employee_id group by project_id;