UnFoldPrep
Browse Archive
Gujarat Technological UniversitySummer 2026 Examination

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

B.E. · IT Engineering · Semester 6 · Subject Code: 3161613
Download Official GTU PDF
Share:
Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours10:30 AM – 1:00 PM
Paper Structure5 QuestionsWith internal OR choices
Jump toQ1Q2Q3Q4Q5

Question 1

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

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

4 Marks
(c)

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).

7 Marks

Question 2

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

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

4 Marks
(c)
Discuss time series analysis technique in brief.
7 Marks
OR OPTION
(c)

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

7 Marks

Question 3

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

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

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

Question 4

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

Question 5

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

Explain principles of dashboard design for effective data visualization.

4 Marks
(c)

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

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

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

7 Marks
College Exam Groups

Studying for Data Analysis and Visualization?

Circulate this solved paper with KaTeX formulas and 1-click AI step solvers to your batchmates on WhatsApp or Telegram.

Related papers

About this Examination Paper & Attribution

Official Gujarat Technological University (GTU) examination paper and step-by-step solutions 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.

Download PDF