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The HAVING clause is used in SQL to filter groups created by the GROUP BY clause based on an aggregate function. 1. Aggregate Filtering: Unlike the WHERE clause, which filters rows before grouping, HAVING applies conditions on grouped data. 2. Purpose in Query: In this query, the HAVING clause ensures that only those departments with more than 5 employees (as determined by COUNT(*)) are included in the result set. 3. Execution Process: o The GROUP BY groups the data by department_id. o The COUNT(*) calculates the number of employees in each department. o The HAVING clause filters out groups where COUNT(*) is less than or equal to 5. This differentiation between WHERE and HAVING is crucial for effective data querying. Why Other Options Are Incorrect: • A) To filter rows before grouping them: The WHERE clause performs pre-grouping filtering, not HAVING. • C) To apply a condition to the entire table: HAVING only applies conditions to grouped results. • D) To apply conditions only to the COUNT(*) function: While COUNT(*) is used, the HAVING clause applies to groups as a whole. • E) To sort the rows by department_id: Sorting is achieved using the ORDER BY clause, not HAVING.
Determine the simplified value of the given mathematical expression.
√(24 × 5 ÷ ?) × 4 = 56 + 34 – 10
(92.03 + 117.98) ÷ 14.211 = 89.9 – 30.23% of ?
Simplify the given expression.
(1/4) of {6 4 - 28 × 15 + 13 × 16 - 12.5 of 12 2 }
535 + ? × 27 - 22 × 20 = 230
84% of 800 + 70% of 640 = 14 × ?
Find the simplified value of the given expression.
(1/4) of {64 - 28 x 15 + 13 x 16 - 12.5 of 122}
{(8× 8 + 3 × 39) - 620 ÷ 20} = ?