Gujarat Technological UniversitySummer 2025 examination

GTU 3161613 Data Analysis and Visualization Summer 2025 Question Paper & PDF

B.E. · IT Engineering · Semester 6 · Subject code 3161613
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Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 10:30 AM – 1:00 PM
Questions
5 with internal choice
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Q.1

14 Marks
(a)
3 marks
Define: probability and inferential statistics.
(b)
4 marks
Write a note on data visualization.
(c)
7 marks
Discuss working of classification in brief.

Q.2

14 Marks
(a)
3 marks
Discuss outliers with its detection techniques.
(b)
4 marks
Write a note on dimensionality reduction.
(c)
7 marks
Explain working of random forest algorithm.
(c)
7 marks
Explain working of k-nearest neighbor algorithm with suitable example.

Q.3

14 Marks
(a)
3 marks
Discuss over fitting problem.
(b)
4 marks
Explain working of average nearest neighbor algorithm.
(c)
7 marks
Write the differences between supervised learning and unsupervised learning.
(a)
3 marks
Write a note on nearest neighbor analysis.
(b)
4 marks
Discuss clustering technique with suitable example.
(c)
7 marks
Explain working of tree pruning.

Q.4

14 Marks
(a)
3 marks
Write a note on time series analysis.
(b)
4 marks
Briefly discuss use of D3.js for data visualization with its pros and cons.
(c)
7 marks
Write a note on D3-DOM selection methods with appropriate examples.
(a)
3 marks
Discuss the most appropriate design style in data visualization.
(b)
4 marks
Briefly discuss comparative graphics.
(c)
7 marks
Write a note on big three principles of data visualization.

Q.5

14 Marks
(a)
3 marks
Write a note on tableau public.
(b)
4 marks
Discuss data visualization graphs.
(c)
7 marks
Explain HTML and DOM in data visualization with the help of appropriate example.
(a)
3 marks
Write a note on plotly for data visualization.
(b)
4 marks
Explain popular web analytics applications used by data scientist.
(c)
7 marks
Discuss various points to design dashboard for data visualization.

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About this paper

Official Gujarat Technological University (GTU) examination paper for Data Analysis and Visualization (Summer 2025, 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.

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