Question 1
(a)
Discuss Descriptive statistics in data analysis.
3 Marks
(b)
Provide your views on Data Visualization.
4 Marks
(c)
Discuss classification with suitable example.
7 Marks
Gujarat Technological UniversityWinter 2025 Examination
GTU 3161613 Data Analysis and Visualization Winter 2025 Paper Solution & PDF
B.E. · IT Engineering · Semester 6 · Subject Code: 3161613
Total Marks70 MarksExternal theory exam
Passing Marks23 Marks33% minimum cutoff
Exam Duration2.5 Hours2:30 PM – 5:00 PM
Paper Structure5 QuestionsWith internal OR choices
Question 2
(a)
Describe probability.
3 Marks
(b)
Discuss time series analysis.
4 Marks
(c)
List and Discuss classification techniques.
7 Marks
OR OPTION
(c)
List and Discuss clustering techniques.
7 Marks
Question 3
(a)
Discuss Nearest Neighbor analysis.
3 Marks
(b)
Write about finding clusters using the Density-based spatial clustering of noisy applications (DBScan) neighbourhood.
4 Marks
(c)
Describe KNN with suitable example.
7 Marks
OR OPTION
(a)
Discuss overfitting and methods to avoid it in classification.
3 Marks
(b)
Write about Kernel Density Estimation (KDE) for Cluster Estimation.
4 Marks
(c)
Explain working of Random Forest Algorithm with suitable example.
7 Marks
Question 4
(a)
Enumerate the six processes in the data visualization creation process.
3 Marks
(b)
Explain the use of Buffering and Proximity functions.
4 Marks
(c)
Describe how to use querying, overlaying, and classifying techniques to analyze spatial data.
7 Marks
OR OPTION
(a)
List suitable graphics visualization elements that are good for for data storytelling, data showcasing, and data art in data visualizations.
3 Marks
(b)
Describe the use of Plotly python library in visualization.
4 Marks
(c)
Discuss about several aspects of creating a data visualization dashboard.
7 Marks
Question 5
(a)
Provide your views on context in data visualization.
3 Marks
(b)
Describe the data graphic. In simply, describe comparative graphics.
4 Marks
(c)
List and Discuss The Big Three.
7 Marks
OR OPTION
(a)
Discuss about the suitable design approach for data visualization.
3 Marks
(b)
Describe the goal of the D3.js data visualization library.
4 Marks
(c)
Explain the K-means clustering algorithm using a suitable example.
7 Marks
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About this Examination Paper & Attribution
Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Data Analysis and Visualization (Winter 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.