To display a table in SQL, one would typically utilize the `SELECT` statement, which is foundational for querying data from a database. For instance, if you aim to retrieve all columns from a table named `employees`, the appropriate query would be `SELECT * FROM employees;`. This command fetches all records, showcasing both the structure and the content of the table. In addition, to enhance data presentation, you might consider applying WHERE clauses to filter results; for example, `SELECT * FROM employees WHERE department = ‘Sales’;` returns only the employees in the Sales department.

For more refined outputs, incorporating aggregate functions and grouping results can be highly beneficial. Suppose you want to calculate the average salary of employees in each department, the query would look something like this: `SELECT department, AVG(salary) as avg_salary FROM employees GROUP BY department;`. Leveraging `JOIN` operations further allows for the interaction of multiple tables, such as combining employee data with performance metrics. A sample command could be `SELECT e.name, p.performance_score FROM employees e JOIN performance p ON e.id = p.employee_id;`, which provides insights into individual performances alongside employee details. By utilizing these SQL commands, a clear and structured representation of the desired data can be achieved efficiently.