Read and download the CBSE Class 12 Informatics Practices Data Handling using Pandas II Assignment for the 2025-26 academic session. We have provided comprehensive Class 12 Informatics Practices school assignments that have important solved questions and answers for Chapter 3 Data Handling using Pandas II. These resources have been carefuly prepared by expert teachers as per the latest NCERT, CBSE, and KVS syllabus guidelines.
Solved Assignment for Class 12 Informatics Practices Chapter 3 Data Handling using Pandas II
Practicing these Class 12 Informatics Practices problems daily is must to improve your conceptual understanding and score better marks in school examinations. These printable assignments are a perfect assessment tool for Chapter 3 Data Handling using Pandas II, covering both basic and advanced level questions to help you get more marks in exams.
Chapter 3 Data Handling using Pandas II Class 12 Solved Questions and Answers
Short Answer Type Questions :
Question. What is the differences between HAVING clause and WHERE clause?
Answer:
Question. Write the query for (i) and predict the output for (ii) and (iii):
(i) To count the product manufacture wise from the table Product.
(ii) SELECT Manufacture,MAX(Price),
MIN(Price), COUNT(*)FROM Product GROUP BY Manufacture;
(iii) SELECT Manufacture, MAX(Price) FROM Product;
Answer: (i) SELECT COUNT(ProductName),Manufacture FROM Product
GROUP BY Manufacture;
Question. What are the aggregate functions in SQL?
Answer: Aggregate function is a function where the values of multiple-rows are grouped together as input on certain criteria to form a single value of more significant meaning.
Some aggregate functions used in SQL are
SUM ( ), AVG( ), MIN(), etc.
Question. Write a query that counts the number of doctors registering patients for each day. (If a doctor has more than one patient on a given day, he or she should be counted only once .)
Answer: SELECT ord_date, COUNT (DISTINCT doctor_code)
FROM Patients
GROUP BY ord_date;
Question. Shanya Khanna is using a table EMPLOYEE. It has the following columns:
Admno, Name, Agg, Stream [column Agg contains Aggregate marks]
She wants to display highest Agg obtained in each Stream.
She wrote the following statement:
SELECT Stream, MAX(Agg) FROM EMPLOYEE;
But she did not get the desired result. Rewrite the above query with necessary changes to help her get the desired output.
Answer: SELECT Stream, MAX(Agg)
FROM EMPLOYEE
GROUP BY Stream;
Question. Why is it not allowed to give String and Date type arguments for SUM () and AVG() functions ?
Ans. SUM() and AVG() functions take an argument of type numeric only. So, sum and Avg are not defined the String and date data.
Question. What is the purpose of GROUP BY clause in MySQL? How is it different from ORDER BY clause?
Answer: The GROUP BY clause can be used to combine all those records that have identical value in a particular field or a group of fields.
Whereas, ORDER BY clause is used to display the records either in ascending or descending order based on a particular field. For ascending order ASC is used and for descending order, DESC is used. The default order is ascending order.
Question. Gopi Krishna is using a table Employee. It has the following columns :
Code, Name, Salary, Dept_code
He wants to display maximum salary department wise. He wrote the following command :
SELECT Deptcode, Max(Salary) FROM Employee;
But he did not get the desired result.
Rewrite the above query with necessary changes to help him get the desired output.
Answer: SELECT Deptcode, Max(Salary)
FROM Employee
GROUP BY Deptcode;
Question. Consider the following table Employee :
Write a query to get the total salary, maximum, minimum, average salary of employees (Job_ID wise), for Dept_ID 90 only.
Answer: SELECT Job_ID, SUM(Salary), AVG(Salary),
MAX(Salary), MIN(Salary)
FROM Employee
WHERE Dept_ID = ‘90’
GROUP BY Job_ID;
Long Answer Type Questions :
Question. Consider the table DOCTOR given below. Write commands in SQL for (i) to (ii) and output for (iii) to (v).
(i) Display the names and salaries of doctors in descending order of salaries.
(ii) Display names of each department along with total salary being given to doctors of that department.
(iii) SELECT SUM(Salary) FROM DOCTOR WHERE Department==‘Surgery’;
(iv) SELECT Department, COUNT(*) FROM DOCTOR GROUP BY Department;
(v) SELECT DOCName FROM DOCTOR WHERE Department LIKE ‘%gery%’;
Answer: (i) SELECT DOCName, Salary FROM DOCTOR ORDER BY Salary DESC;
(ii) SELECT Department, SUM(Salary) FROM DOCTOR GROUP BY Department;
Question. Go through the following table ‘Persons’ and answer the questions:
(i) What will be the output of the following command?
SELECT * FROM Persons WHERE Gender =‘F’ AND City LIKE “%Nagar”;
(d) No Output
(ii) Which column is used as primary key?
(a) PId
(b) PinCode
(c) Salary
(d) Gender
(iii) Choose the correct output.
SELECT City, COUNT (*) FROM Persons GROUP BY
City HAVING COUNT (*) > 1;
Answer: (i) (d) No ouput
(ii) (a) PId
(iii) (b)
Question. Write commands in SQL for (i) to (iii) and output for (iv) and (v):
(i) To display names of stores along with Sales Amount of those stores that are located in Mumbai.
(ii) To display the details of store in alphabetical order of name.
(iii) To display the City and the number of stores located in that City, only if number of stores is more than 2.
(iv) SELECT MIN(DateOpen) FROM Store;
(v) SELECT COUNT(StoreId), NoOfEmp FROM Store GROUP BY NoOfEmp HAVING MAX(SalesAmt)<60000;
Answer: (i) SELECT Name,SalesAmt FROM Store WHERE City=‘Mumbai’;
(ii) SELECT * FROM Store ORDER BY Name;
(iii) SELECT City, COUNT(*) FROM Store GROUP BY Store HAVING COUNT(*)>2;
Question. Consider the table FANS:
Write MySQL queries for the following questions.
(i) To display the details of fans in descending order of their DOB.
(ii) To display the details of FANS who does not belong to AJMER.
(iii) To count the total number of fans of each fanmode.
(iv) To display the DOB of the youngest fan.
Answer: (i) SELECT * FROM FANS ORDER BY FAN_DOB DESC;
(ii) SELECT * FROM FANS WHERE
FAN_CITY<>‘AJMER’;
(iii) SELECT FAN_MODE, COUNT(*) FROM FANS GROUP BY
FAN_MODE;
(iv) SELECT MAX(FAN_DOB) FROM FANS;
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Important Practice Resources for Class 12 Informatics Practices
CBSE Class 12 Informatics Practices Chapter 3 Data Handling using Pandas II Assignment
Access the latest Chapter 3 Data Handling using Pandas II assignments designed as per the current CBSE syllabus for Class 12. We have included all question types, including MCQs, short answer questions, and long-form problems relating to Chapter 3 Data Handling using Pandas II. You can easily download these assignments in PDF format for free. Our expert teachers have carefully looked at previous year exam patterns and have made sure that these questions help you prepare properly for your upcoming school tests.
Benefits of solving Assignments for Chapter 3 Data Handling using Pandas II
Practicing these Class 12 Informatics Practices assignments has many advantages for you:
- Better Exam Scores: Regular practice will help you to understand Chapter 3 Data Handling using Pandas II properly and you will be able to answer exam questions correctly.
- Latest Exam Pattern: All questions are aligned as per the latest CBSE sample papers and marking schemes.
- Huge Variety of Questions: These Chapter 3 Data Handling using Pandas II sets include Case Studies, objective questions, and various descriptive problems with answers.
- Time Management: Solving these Chapter 3 Data Handling using Pandas II test papers daily will improve your speed and accuracy.
How to solve Informatics Practices Chapter 3 Data Handling using Pandas II Assignments effectively?
- Read the Chapter First: Start with the NCERT book for Class 12 Informatics Practices before attempting the assignment.
- Self-Assessment: Try solving the Chapter 3 Data Handling using Pandas II questions by yourself and then check the solutions provided by us.
- Use Supporting Material: Refer to our Revision Notes and Class 12 worksheets if you get stuck on any topic.
- Track Mistakes: Maintain a notebook for tricky concepts and revise them using our online MCQ tests.
Best Practices for Class 12 Informatics Practices Preparation
For the best results, solve one assignment for Chapter 3 Data Handling using Pandas II on daily basis. Using a timer while practicing will further improve your problem-solving skills and prepare you for the actual CBSE exam.
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All topics given in Chapter 3 Data Handling using Pandas II Informatics Practices Class 12 Book for the current academic year have been covered in the given assignment
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Latest syllabus issued for current academic year by CBSE has been used to design assignments for Chapter 3 Data Handling using Pandas II Class 12
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