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NCERT Solutions for Class 12 Computer Science Chapter 7: Understanding Data

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Exercise-wise Answers & Expert Tips for Chapter 7 Understanding Data

Looking for reliable NCERT Solutions for Class 12 Computer Science Chapter 7 Understanding Data? This page has you covered with step-by-step guidance, making complex topics easier and helping you tackle all types of exam exercises with confidence.


Find clear, stepwise answers for Chapter 7 exercises, full-mark solutions, and exam tips aligned to the CBSE 2025–26 syllabus. Whether you’re revising key definitions or practising diagrams, our guide supports your journey to strong Computer Science grades.


Download the free Understanding Data Class 12 NCERT Solutions PDF, use our easy revision planner, and avoid common mistakes. Prepare smarter and boost your confidence with exercise-wise solutions and expert-reviewed strategies!


Exercise-wise Answers & Expert Tips for Chapter 7 Understanding Data


1. Identify data required to be maintained to perform the following services:

(a) Declare exam results and print e-certificates
Ans: Data required: Student name, roll number, class, exam scores/grades, subject/course information, year/session, certificate template.

(a) Register participants in an exhibition and issue biometric ID cards
Ans: Data required: Participant name, age, contact number, address, email, organization/institution detail, biometric data (like fingerprint or photo), ID card template.

(c) To search for an image by a search engine
Ans: Data required: Image name, tags/keywords, image file path or URL, image description, source metadata.

(d) To book an OPD appointment with a hospital in a specific department
Ans: Data required: Patient name, age, gender, contact number, address, previous medical history, preferred department, doctor, appointment date/time.


2. A school having 500 students wants to identify beneficiaries of the merit-cum means scholarship, achieving more than 75% for two consecutive years and having family income less than 5 lakh per annum. Briefly describe data processing steps to be taken by the school to prepare the list of beneficiaries.


Answer: The school should collect students’ marks for the last two years and their family income data. Next, filter students who have scored above 75% in both years and have a family income less than 5 lakhs per annum. The filtered list represents the eligible scholarship beneficiaries.


3. A bank ‘xyz’ wants to know about its popularity among the residents of a city ‘ABC’ on the basis of number of bank accounts each family has and the average monthly account balance of each person. Briefly describe the steps to be taken for collecting data and what results can be checked through processing of the collected data.


Answer: Collect data from city households on number of bank accounts per family and average balance per person. Process the data to calculate total families holding accounts, total accounts per family, average monthly balances, and compare with other banks or total population. This analysis will reveal the bank’s popularity in the city.


4. Identify type of data being collected/generated in the following scenarios:

  1. Recording a video – Ans: Unstructured data.
  2. Marking attendance by teacher – Ans: Structured data.
  3. Writing tweets – Ans: Unstructured data (may contain text, emojis, images etc.).
  4. Filling an application form online – Ans: Structured data.

5. Consider the temperature (in Celsius) of 7 days of a week as 34, 34, 27, 28, 27, 34, 34. Identify the appropriate statistical technique to be used to calculate the following:


  1. Find the average temperature.
    Answer: Mean (average) is used to calculate average temperature.
    Mean = (34 + 34 + 27 + 28 + 27 + 34 + 34) / 7 = 218 / 7 = 31.14°C (approx.).

  2. Find the temperature Range of that week.
    Answer: Range = Maximum value – Minimum value = 34 – 27 = 7°C.

  3. Find the standard deviation temperature.
    Answer: Standard deviation is the correct technique. Calculation: Mean = 31.14; squared deviations sum = 57.71; SD = √(57.71/7) ≈ 2.87°C.

6. A school teacher wants to analyse results. Identify the appropriate statistical technique to be used along with its justification for the following cases:

  1. Compare performance in terms of division secured by students in Class XII A and Class XII B where each class strength is same.
    Answer: Standard deviation should be used, as it measures variation/spread in the scores, providing a basis for comparison.

  2. Comparison of class performance over five months (unit tests).
    Answer: Mean should be used to calculate and compare the average performance over months.

7. Suppose annual day of your school is to be celebrated. The school has decided to felicitate those parents of the students studying in classes XI and XII, who are the alumni of the same school. In this context, answer:

  1. Which statistical technique should be used to find the number of students whose both parents are alumni?
    Answer: Mode or counting technique should be used to find the frequency of such students.

  2. How varied are the age of parents of the students?
    Answer: Standard deviation should be used to measure the variation in age.

8. For the annual day celebrations, the teacher is looking for an anchor in a class of 42 students. The teacher would make selection of an anchor on the basis of singing skill, writing skill, as well as monitoring skill.

  1. Which mode of data collection should be used?
    Answer: Direct observation and evaluation or conducting auditions to assess skills.

  2. How would you represent the skill of students as data?
    Answer: Represent each skill (singing, writing, monitoring) as columns in a table and rate each student on a fixed scale (e.g., 1 to 5), creating structured data.

9. Differentiate between structured and unstructured data giving one example.


Answer: Structured data is organized in a fixed format, such as tables (e.g., attendance register, Excel sheet of marks). Unstructured data lacks a predefined structure, such as videos, audio files, emails, or free-form text documents.


10. The principal of a school wants to do following analysis on the basis of food items procured and sold in the canteen:


  1. Compare the purchase and sale price of fruit juice and biscuits.
  2. Compare sales of fruit juice, biscuits and samosa.
  3. Variation in sale price of fruit juices of different companies for same quantity (in ml).

Create an appropriate dataset for these items (fruit juice, biscuits, samosa) by listing their purchase price and sale price. Apply basic statistical techniques to make the comparisons.


Product Company Sales Price per Unit (₹) Purchase Price per Unit (₹) Units Sold
Fruit Juice (250 ml) Real 40 35 10
Fruit Juice (250 ml) Tropicana 45 30 15
Samosa Samosa Party 30 27 20
Samosa Chaayos 36 30 25
Samosa Chai Point 33 29 15
Biscuit Parle 10 6 30
Biscuit Britannia 15 12 20
Biscuit Sunfeast 20 17 15

  • Mean purchase price of fruit juice = (35 + 30) / 2 = ₹32.5
    Mean sale price of fruit juice = (40 + 45) / 2 = ₹42.5
    Profit per unit = ₹10
  • Mean purchase price of biscuits = (6 + 12 + 17) / 3 = ₹11.67
    Mean sale price of biscuits = (10 + 15 + 20) / 3 = ₹15
    Profit per unit = ₹3.33
  • Units sold: Biscuits = 65, Samosas = 60, Fruit juices = 25. Biscuits sold the most, followed by samosa and fruit juice.
  • Variation in sale price of fruit juices: Real (₹40) vs Tropicana (₹45) difference = ₹5 for same 250ml quantity.

Understanding Data: Class 12 Computer Science Chapter 7 Key Concepts

Chapter 7 Understanding Data in NCERT Class 12 Computer Science (2025-26) helps students build a strong foundation in data types, structured and unstructured data, and storage techniques. These core skills are vital for mastering future analytics topics and getting ready for competitive exams.


Make sure to practice all exercise-based questions as they reinforce statistical concepts like mean, median, mode, range, and standard deviation. This improves problem-solving ability and helps you score more in Class 12 Computer Science board exams.


Regular revision and concept mapping of this chapter will ensure clarity on data collection, storage, and processing methods. Build a summary sheet for quick revision and focus on key examples for last-minute preparation.


FAQs on NCERT Solutions for Class 12 Computer Science Chapter 7: Understanding Data

1. What is data in Class 12 Computer Science?

Data refers to raw facts, figures, or information collected for analysis in Computer Science Class 12.

Key points:
- Data can be numbers, text, observations, or measurements.
- In NCERT Solutions Class 12 Computer Science Chapter 7 Understanding Data, data is the foundational concept for databases and digital information.
- Understanding data types, representation, and processing is vital for CBSE exams.

2. How do NCERT Solutions for Class 12 Computer Science Chapter 7 help in scoring full marks?

NCERT Solutions for Class 12 Computer Science Chapter 7 provide stepwise, exam-oriented answers that match the CBSE marking scheme.

Benefits include:
- Clear step-by-step solutions for each exercise and intext question.
- Use of definitions, diagrams, and keywords as per CBSE requirements.
- Expert-verified answers ensure accuracy.
- Helps students avoid common mistakes and structure answers for maximum marks.

3. Are diagrams or definitions mandatory in answers for this chapter?

Including diagrams and precise definitions is highly recommended in NCERT Solutions for Class 12 Computer Science Chapter 7 for full marks.

- Diagrams help illustrate data flow, types, and structures.
- Definitions make answers precise and CBSE-compliant.
- Use neat labelling and correct terminology to boost scoring.

4. Which questions are likely asked from 'Understanding Data' in CBSE school exams?

Frequently asked questions in CBSE exams from this chapter include:
- Definitions of data, information, and database concepts.
- Differences between types of data.
- Diagram-based questions (e.g., data flow diagrams).
- Short notes on key terms like metadata, data processing.
- Application-based problem solving.

5. How should I structure long answers in Class 12 Computer Science exams?

For Class 12 Computer Science, structure long answers with an introduction, main body using stepwise explanations, and a concise conclusion.

- Start with a definition or overview.
- Use ordered steps or bullet points for clarity.
- Include diagrams if relevant.
- Highlight key terms.
- Keep to the word/step limit as per CBSE marking scheme.

6. Where can I download the NCERT Solutions Class 12 Computer Science Chapter 7 PDF?

You can download the NCERT Solutions Class 12 Computer Science Chapter 7 Understanding Data PDF from reliable educational websites that provide CBSE-specific study materials.

- Look for one-click download buttons with current syllabus coverage.
- Ensure the PDF includes step-by-step and exercise-wise answers.

7. What are the most important topics to revise in Chapter 7 Understanding Data?

Most important topics for revision:
- Definitions: Data, Information, Database
- Types of data and classification
- Data representation methods
- Diagram/map labelling techniques
- Frequently used formulae and examples
- Common mistakes to avoid in stepwise answers

8. Is it important to follow the CBSE marking scheme when writing NCERT answers?

Yes, aligning your answers with the CBSE marking scheme is crucial for scoring full marks in Class 12 Computer Science.

- Use of correct keywords
- Stepwise presentation for partial marks
- Inclusion of diagrams and labelled maps if required
- Concise answers with proper structure

9. Do examiners award partial marks for correct steps even if the final answer is wrong?

Yes, CBSE examiners usually award partial marks for correct steps shown, even if the final answer is incorrect, especially in stepwise NCERT questions.

- Show all steps clearly.
- Use labelled diagrams and definitions as required.
- Don’t skip intermediate reasoning in problem solving.

10. Are NCERT Solutions enough for Class 12 Computer Science exams?

NCERT Solutions are generally sufficient for Class 12 Computer Science CBSE exams if you use them for thorough understanding and practice.

- Ensure you cover all back exercises, intext questions, and revise key definitions.
- For advanced practice, use exemplar problems and previous year questions.

11. How to present long answers to match CBSE marking?

Present long answers by breaking them down into logical steps, using bullet points and diagrams where necessary.

- Start with a definition.
- Use step-by-step explanation.
- Support with diagrams or examples.
- Conclude with a summary statement.

12. Where to get chapterwise solutions PDF for offline study?

Chapterwise NCERT Solutions PDFs for Class 12 Computer Science are available on reputed CBSE learning portals.

- Download the PDF directly from trusted educational websites.
- Check for solutions updated for the syllabus 2025–26.