4.3 Set aggregation
1. The 10 lowest salaries in the company.
2. The 10 employees with the lowest salaries in the company.
SPL
A | B | |
---|---|---|
1 | =file(“EMPLOYEE.csv”).import@tc() | |
2 | =A1.top(10,SALARY) | /The 10 lowest salaries |
3 | =A1.top(10;SALARY) | /The 10 employees with the lowest salaries |
SQL
1. The 10 lowest salaries
SELECT *
FROM (
SELECT SALARY
FROM EMPLOYEE
ORDER BY SALARY)
WHERE ROWNUM <= 10;
2. The 10 employees with the lowest salaries
SELECT *
FROM (
SELECT *
FROM EMPLOYEE
ORDER BY SALARY)
WHERE ROWNUM <= 10;
Python
df=pd.read_csv('../EMPLOYEE.csv')
low_salary_10=df.nsmallest(10,'SALARY')['SALARY']/#The10lowestsalaries
low_salary_10=df.nsmallest(10,'SALARY')/#The10employeeswiththelowestsalaries
4.4 Group & aggregate
Example codes for comparing SPL, SQL, and Python
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