Gujarat Technological UniversitySummer 2026 examination

GTU 3161613 Data Analysis and Visualization Summer 2026 Question Paper & PDF

B.E. · IT Engineering · Semester 6 · Subject code 3161613
Download official PDFView PDF here
Share with your class
Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 10:30 AM – 1:00 PM
Questions
5 with internal choice
No solutions on this paper yetNeed them for your exam? Ask once. Papers that students ask for are solved first, and we aim to add them within 24 hours.

Q.1

14 Marks
(a)
3 marks
Write importance of data analysis and visualization with example.
(b)
4 marks

Describe the need for dimension reduction in data science. Also write its approaches.

(c)
7 marks

Calculate Pearson correlation coefficient between age and salary for given samples. (24,27),(28,27), (28,31), (35,28),(49,28), (49,39), (58,$57), (62,82),(63,82), (63,68).

Q.2

14 Marks
(a)
3 marks
Describe descriptive statistics and inferential statistics.
(b)
4 marks

What is probability distribution function (PDF)? Explain different types of PDFs.

(c)
7 marks
Discuss time series analysis technique in brief.
(c)
7 marks

Define outliers. List outlier detection methods. Also describe any one method in details.

Q.3

14 Marks
(a)
3 marks
Explain how to categorize data using random forest algorithm.
(b)
4 marks
What is cluster? Explain types of clustering methods.
(c)
7 marks

Explain working of k-nearest neighbor (k-NN) algorithm with suitable example.

(a)
3 marks
Explain dependent and independent variable with example.
(b)
4 marks
Compare clustering and classification.
(c)
7 marks
What is regression? Discuss different types of regression methods.

Q.4

14 Marks
(a)
3 marks
Discuss web based applications for visualization design.
(b)
4 marks
What is over fitting and under fitting regarding classification?
(c)
7 marks
Explain data science for driving growth in E-commerce.
(a)
3 marks
Write objective of using gradient descent.
(b)
4 marks
Describe steps of the process for creating data visualization.
(c)
7 marks
Explain working of k-Means clustering algorithm with example.

Q.5

14 Marks
(a)
3 marks
Write a note on data visualization.
(b)
4 marks

Explain principles of dashboard design for effective data visualization.

(c)
7 marks

What is spatial data mapping? Describe different techniques available for spatial data mapping,

(a)
3 marks
Explain Comparative graphics for visualization in brief.
(b)
4 marks
Write a note on D3.JS
(c)
7 marks

Write a note on Big three of Data Visualization: Data Storytelling, Data Showcasing and Data Art of Data Visualizations.

More Data Analysis and Visualization papers

Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.

Preparing with friends?

Send this paper to your class group. Every question has its own link.

About this paper

Official Gujarat Technological University (GTU) examination paper for Data Analysis and Visualization (Summer 2026, B.E. · IT Engineering, Sem 6). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

ViewDownload PDF