Q.1
14 MarksDescribe the need for dimension reduction in data science. Also write its approaches.
Calculate Pearson correlation coefficient between age and salary for given samples. (24,31), (35,39), (58,$57), (62,68).
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Describe the need for dimension reduction in data science. Also write its approaches.
Calculate Pearson correlation coefficient between age and salary for given samples. (24,31), (35,39), (58,$57), (62,68).
What is probability distribution function (PDF)? Explain different types of PDFs.
Define outliers. List outlier detection methods. Also describe any one method in details.
Explain working of k-nearest neighbor (k-NN) algorithm with suitable example.
Explain principles of dashboard design for effective data visualization.
What is spatial data mapping? Describe different techniques available for spatial data mapping,
Write a note on Big three of Data Visualization: Data Storytelling, Data Showcasing and Data Art of Data Visualizations.
Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.
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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.
3161613 Data Analysis and Visualization
Official GTU PDF · Summer 2026
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