Question: Need it in MYSQL and here are my databases Write a SELECT statement that returns all class data for classes that have too many students

Need it in MYSQL and here are my databases



Write a SELECT statement that returns all class data for classes that have too many students (i.e. the number of students exceeded the maximum students for the class). Use a Subquery (non-correlated) in a JOIN clause. Use only the subquery and the classes table. (Do not join to any other table) Return the following columns: class_id, name, code, maximum_students, number_of_students Hint: in the subquery use an aggregation and return the value along with the class_id, then use the subquery class_id in the ON clause. Testing the subquery before putting it into the outer query it may help. Example dass_id name 1 Computer Science 310 SQL Writing and Rhetoric code maximum_students number_of_students CS HU310 10 11 ENG 101 4 6 Deliverable 1: send your code & screenshot 111 112 SELECT * FROM students; Edit: Result Grid 1 Filter Rows: student_id first_name_last_name birth_date 1 Ross Wilcox 2001-02-25 2 Phoebe Rangel 2000-01-21 3 Hope Nouri 2002-03-22 4 Perry Levinson 1999-04-20 5 Hermann McDowel 2000-10-18 6 Lily Cierzan 2004-11-19 7 Endora Clayson 1998-09-17 8 Darwin Gowder 2001-11-16 9 Thatcher Siege 2005-08-01 10 Sage Valorant 2006-07-15 NULL NULL NULL NULL 94 SELECT * FROM classes Result Grid Filter Rows: | Edit: B Export/Import: dass_id name description code maximum_students Computer Science 310 SQL MySQL CS-HU310 10 2 Communications 113 comming COMM113 5 3 English 101 talking ENG 101 4 4 Martial Arts 030 MMA MA030 5 NULL NULL NULL w N NULL NULL 85. SELECT * FROM registered_students; 86 TNICENT TATA clocros Namo d w N 5 . Result Grid 1 Filter Rows: Edit: id dass_id student_id signup_timestamp 1 2 2021-02-07 13:46:46 2. 3 2021-02-07 13:46:46 3 1 4 2021-02-07 13:46:46 4 1 5 2021-02-07 13:46:46 1 7 2021-02-07 13:46:46 6 1 9 2021-02-07 13:46:46 7 1 10 2021-02-07 13:46:46 8 3 1 2021-02-07 13:46:53 9 3 2 2021-02-07 13:46:53 10 3 3 2021-02-07 13:46:53 11 3 7 2021-02-07 13:46:53 15 3 2 2021-02-07 13:47:00 16 3 4 2021-02-07 13:47:00 17 3 5 2021-02-07 13:47:00 18 3 7 2021-02-07 13:47:00 19 3 8 2021-02-07 13:47:00 20 3 9 2021-02-07 13:47:00 22 2 1 2021-02-07 13:47:13 23 2 1 2021-02-07 13:47:13
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