Highest Salaries Difference
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['Create table if not exists Salaries(emp_name varchar(30), department varchar(30),salary int)', 'Truncate table Salaries', "insert into Salaries (emp_name, department, salary) values ('Kathy', 'Engineering', '50000')", "insert into Salaries (emp_name, department, salary) values ('Roy', 'Marketing', '30000')", "insert into Salaries (emp_name, department, salary) values ('Charles', 'Engineering', '45000')", "insert into Salaries (emp_name, department, salary) values ('Jack', 'Engineering', '85000')", "insert into Salaries (emp_name, department, salary) values ('Benjamin', 'Marketing', '34000')", "insert into Salaries (emp_name, department, salary) values ('Anthony', 'Marketing', '42000')", "insert into Salaries (emp_name, department, salary) values ('Edward', 'Engineering', '102000')", "insert into Salaries (emp_name, department, salary) values ('Terry', 'Engineering', '44000')", "insert into Salaries (emp_name, department, salary) values ('Evelyn', 'Marketing', '53000')", "insert into Salaries (emp_name, department, salary) values ('Arthur', 'Engineering', '32000')"]
{"mysql": ["Create table if not exists Salaries(emp_name varchar(30), department varchar(30),salary int)"], "mssql": ["Create table Salaries(emp_name varchar(30), department varchar(30),salary int)"], "oraclesql": ["Create table Salaries(emp_name varchar(30), department varchar(30),salary int)"], "database": true, "name": "salaries_difference", "pythondata": ["Salaries = pd.DataFrame([], columns=['emp_name', 'department', 'salary']).astype({'emp_name':'object', 'department':'object', 'salary':'Int64'})"], "postgresql": ["Create table if not exists Salaries(emp_name varchar(30), department varchar(30),salary int)"], "database_schema": {"Salaries": {"emp_name": "VARCHAR(30)", "department": "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']