Combining aggregate and non-aggregate values in SQL using Joins and Over clause

Prerequisite - Aggregate functions in SQL, Joins in SQL
Aggregate functions perform a calculation on a set of values and return a single value. Now, consider an employee table EMP and a department table DEPT with following structure:

Table - EMPLOYEE TABLE

Name	Null	Type
EMPNO	NOT NULL	NUMBER(4)
ENAME	VARCHAR2(10)
JOB	VARCHAR2(9)
MGR	NUMBER(4)
HIREDATE	DATE
SAL	NUMBER(7, 2)
COMM	NUMBER(7, 2)
DEPTNO	NUMBER(2)

Table - DEPARTMENT TABLE

Name	Null	Type
DEPTNO	NUMBER(2)
DNAME	VARCHAR2(14)
LOC	VARCHAR2(13)

And the following results are needed:

1. DISPLAY NAME, SAL, JOB OF EMP ALONG WITH MAX, MIN, AVG, TOTAL SAL OF THE EMPS DOING THE SAME JOB.
2. DISPLAY DEPTNAME WITH NUMBER OF EMP WORKING IN IT.

The aggregated values can't be directly used with non-aggregated values to obtain a result. Thus one can use the following concepts:

1. Using Joins -

1. Create a sub-table containing the result of aggregated values.
2. Using Join, use the results from the sub-table to display them with non-aggregated values.

Solutions for problem 1 using JOIN:

SELECT ENAME, SAL, EMP.JOB, 
 SUBTABLE.MAXSAL, SUBTABLE.MINSAL, 
 SUBTABLE.AVGSAL, SUBTABLE.SUMSAL
FROM EMP
INNER JOIN
 (SELECT JOB, MAX(SAL) MAXSAL, MIN(SAL) 
 MINSAL, AVG(SAL) AVGSAL, SUM(SAL) SUMSAL 
 FROM EMP 
 GROUP BY JOB) SUBTABLE
 ON EMP.JOB = SUBTABLE.JOB; 

Output for sample data:

Ename	Sal	Job	MaxSal	MinSal	AvgSal	SumSal
SCOTT	3300	ANALYST	3300	1925	2841.67	8525
HENRY	1925	ANALYST	3300	1925	2841.67	8525
FORD	3300	ANALYST	3300	1925	2841.67	8525
SMITH	3300	CLERK	3300	1045	1746.25	6985
MILLER	1430	CLERK	3300	1045	1746.25	6985

2. Using 'Over' clause -

1. OVER CLAUSE ALONG WITH PARTITION BY IS USED TO BRAKE UP DATA INTO PARTITIONS.
2. THE SPECIFIED FUNCTION OPERATES FOR EACH PARTITION.

Solutions for problem 2 using OVER Clause:

SELECT DISTINCT(DNAME),
COUNT(ENAME) OVER (PARTITION BY EMP.DEPTNO) EMP
FROM EMP
RIGHT OUTER JOIN DEPT
ON EMP.DEPTNO=DEPT.DEPTNO
ORDER BY EMP DESC; 

Dname	Emp
SALES	6
RESEARCH	5
ACCOUNTING	3
OPERATIONS	0
OTHERS	0