Group Employees of the Same Salary
[]
['Create table If Not Exists Employees (employee_id int, name varchar(30), salary int)', 'Truncate table Employees', "insert into Employees (employee_id, name, salary) values ('2', 'Meir', '3000')", "insert into Employees (employee_id, name, salary) values ('3', 'Michael', '3000')", "insert into Employees (employee_id, name, salary) values ('7', 'Addilyn', '7400')", "insert into Employees (employee_id, name, salary) values ('8', 'Juan', '6100')", "insert into Employees (employee_id, name, salary) values ('9', 'Kannon', '7400')"]
{"mysql": ["Create table If Not Exists Employees (employee_id int, name varchar(30), salary int)"], "mssql": ["Create table Employees (employee_id int, name varchar(30), salary int)"], "oraclesql": ["Create table Employees (employee_id int, name varchar(30), salary int)"], "database": true, "name": "employees_of_same_salary", "pythondata": ["Employees = pd.DataFrame([], columns=['employee_id', 'name', 'salary']).astype({'employee_id':'Int64', 'name':'object', 'salary':'Int64'})"], "postgresql": ["Create table If Not Exists Employees (employee_id int, name varchar(30), salary int)"], "database_schema": {"Employees": {"employee_id": "INT", "name": "VARCHAR(30)", "salary": "INT"}}}
{"mysql": ["MySQL", "<p><code>MySQL 8.0</code>.</p>"], "mssql": ["MS SQL Server", "<p><code>mssql server 2019</code>.</p>"], "oraclesql": ["Oracle", "<p><code>Oracle Sql 11.2</code>.</p>"], "pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']