geruganti, sudhakar, & orcid:0009-0000-0039-. (2025). *’Comparative Analysis of 3 D Plotting Techniques for Multidimensional Data in Scientific Computing: Performance Metrics, Human Perception, and Cross-Domain Applications’* ; Alternative Titles: 1. ’From Static to Interactive: Evaluating 3 D Visualization Tools for Scientific Data in Python’ 2. ’Seeing Beyond the Plane: A Systematic Study of 3 D Data Representation in Computational Research’ 3. ’Benchmarking 3 D Plotting Libraries: A Multidisciplinary Perspective on Matplotlib, Plotly, and Py Vista’ 4. ’The Art of Multidimensional Storytelling: How 3 D Visualization Techniques Impact Scientific Insight’ ; Subtitles: • *’Quantifying the Trade-offs: Speed vs. Interactivity in 3 D Scientific Visualization’* • ’Color, Depth, and Cognition: Designing Effective 3 D Plots for Human Interpretation’ • *’From Physics to Genomics: Domain-Specific Best Practices for 3 D Data Representation’* • ’Beyond the Benchmark: How Tool Selection Influences Research Outcomes in Computational Science’. Zenodo. https://doi.org/10.5281/zenodo.16760411

GERUGANTI, sudhakar und orcid:0009-0000-0039-, 2025. *’Comparative Analysis of 3 D Plotting Techniques for Multidimensional Data in Scientific Computing: Performance Metrics, Human Perception, and Cross-Domain Applications’* ; Alternative Titles: 1. ’From Static to Interactive: Evaluating 3 D Visualization Tools for Scientific Data in Python’ 2. ’Seeing Beyond the Plane: A Systematic Study of 3 D Data Representation in Computational Research’ 3. ’Benchmarking 3 D Plotting Libraries: A Multidisciplinary Perspective on Matplotlib, Plotly, and Py Vista’ 4. ’The Art of Multidimensional Storytelling: How 3 D Visualization Techniques Impact Scientific Insight’ ; Subtitles: • *’Quantifying the Trade-offs: Speed vs. Interactivity in 3 D Scientific Visualization’* • ’Color, Depth, and Cognition: Designing Effective 3 D Plots for Human Interpretation’ • *’From Physics to Genomics: Domain-Specific Best Practices for 3 D Data Representation’* • ’Beyond the Benchmark: How Tool Selection Influences Research Outcomes in Computational Science’. Zenodo.

geruganti, sudhakar, und orcid:0009-0000-0039-. *’Comparative Analysis of 3 D Plotting Techniques for Multidimensional Data in Scientific Computing: Performance Metrics, Human Perception, and Cross-Domain Applications’* ; Alternative Titles: 1. ’From Static to Interactive: Evaluating 3 D Visualization Tools for Scientific Data in Python’ 2. ’Seeing Beyond the Plane: A Systematic Study of 3 D Data Representation in Computational Research’ 3. ’Benchmarking 3 D Plotting Libraries: A Multidisciplinary Perspective on Matplotlib, Plotly, and Py Vista’ 4. ’The Art of Multidimensional Storytelling: How 3 D Visualization Techniques Impact Scientific Insight’ ; Subtitles: • *’Quantifying the Trade-offs: Speed vs. Interactivity in 3 D Scientific Visualization’* • ’Color, Depth, and Cognition: Designing Effective 3 D Plots for Human Interpretation’ • *’From Physics to Genomics: Domain-Specific Best Practices for 3 D Data Representation’* • ’Beyond the Benchmark: How Tool Selection Influences Research Outcomes in Computational Science’. Zenodo, 2025, https://doi.org/10.5281/zenodo.16760411.

geruganti, sudhakar/orcid:0009-0000-0039-: *’Comparative Analysis of 3 D Plotting Techniques for Multidimensional Data in Scientific Computing: Performance Metrics, Human Perception, and Cross-Domain Applications’* ; Alternative Titles: 1. ’From Static to Interactive: Evaluating 3 D Visualization Tools for Scientific Data in Python’ 2. ’Seeing Beyond the Plane: A Systematic Study of 3 D Data Representation in Computational Research’ 3. ’Benchmarking 3 D Plotting Libraries: A Multidisciplinary Perspective on Matplotlib, Plotly, and Py Vista’ 4. ’The Art of Multidimensional Storytelling: How 3 D Visualization Techniques Impact Scientific Insight’ ; Subtitles: • *’Quantifying the Trade-offs: Speed vs. Interactivity in 3 D Scientific Visualization’* • ’Color, Depth, and Cognition: Designing Effective 3 D Plots for Human Interpretation’ • *’From Physics to Genomics: Domain-Specific Best Practices for 3 D Data Representation’* • ’Beyond the Benchmark: How Tool Selection Influences Research Outcomes in Computational Science’, 2025.

geruganti, sudhakar und orcid:0009-0000-0039-. (2025), *’Comparative Analysis of 3 D Plotting Techniques for Multidimensional Data in Scientific Computing: Performance Metrics, Human Perception, and Cross-Domain Applications’* ; Alternative Titles: 1. ’From Static to Interactive: Evaluating 3 D Visualization Tools for Scientific Data in Python’ 2. ’Seeing Beyond the Plane: A Systematic Study of 3 D Data Representation in Computational Research’ 3. ’Benchmarking 3 D Plotting Libraries: A Multidisciplinary Perspective on Matplotlib, Plotly, and Py Vista’ 4. ’The Art of Multidimensional Storytelling: How 3 D Visualization Techniques Impact Scientific Insight’ ; Subtitles: • *’Quantifying the Trade-offs: Speed vs. Interactivity in 3 D Scientific Visualization’* • ’Color, Depth, and Cognition: Designing Effective 3 D Plots for Human Interpretation’ • *’From Physics to Genomics: Domain-Specific Best Practices for 3 D Data Representation’* • ’Beyond the Benchmark: How Tool Selection Influences Research Outcomes in Computational Science’, Bd. , Zenodo, verfügbar unter:https://doi.org/10.5281/zenodo.16760411.