Page 22 - IPP-12-2025

Table: DEPARTMENTS
Department_ID Department_Name
D0001 Human Resources
D0002 IT
D0003 Finance
Write appropriate SQL queries for the following:
(a) Display the total number of employees department-wise.
(b) Display the names of all employees who belong to Human Resources department in uppercase
along with their department name.
(c) Display the name, age and the department name of employees whose age is more than 25.
Ans. (a) Select Brand from MOBILE where Release_Year > 2020;
(b) Select Model, Usage_Type from MOBILE m, Usage_History h where m.M_ID = h.M_ID;
(c) Select M_ID, sum(Usage_Time) from USAGE_HISTORY group by M_ID;
Or
(a) Select Department_ID, count(Employee_ID) from EMPLOYEES group by
Department_ID;
(b) Select upper(Employee_Name), Department_Name from EMPLOYEES e, DEPARTMENTS d
where e.Department_ID = d.Department_ID;
(c) Select Employee_Name, Age, department_name from employees e, departments d
where e. Department_ID = d. Department_ID and Age>25;

Section D (2 × 4 = 8 Marks)
33. Ravi, a data analyst, is preparing a line chart to visualize monthly temperatures (in Celsius) for a city
over the past six months. The temperature data (in Celsius) is as follows: [4]
Month Temperature (°C)
January 10
February 12
March 15
April 18
May 22
June 25

Help Ravi to complete the following Python code to generate the line chart:

import as plt # Statement 1
months = ['January', 'February', 'March', 'April', 'May', 'June']
temperature = [10, 12, 15, 18, 22, 25]
plt.plot(months, ,color='blue',marker='o',label='Temperature') # Statement 2

M.19 Informatics Practices with Python–XII
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