Lavanya Addepalli

Papers

Total Citations

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About

Lavanya Addepalli is a researcher whose work centers on data visualization and the tools that make complex data accessible and actionable. Her major contributions lie in systematically evaluating and comparing the performance and usability of leading Python data visualization libraries, as well as a broader array of visualization tools. In her highly cited 2023 review, "Assessing the Performance of Python Data Visualization Libraries: A Review," which has garnered 49 citations, Addepalli provides a critical benchmark for researchers and practitioners selecting the right library for their data storytelling needs. This work is complemented by her comprehensive survey, "A Comprehensive Review of Data Visualization Tools: Features, Strengths, and Weaknesses," which has earned 33 citations, offering a balanced, feature-by-feature analysis that helps users navigate the crowded landscape of visualization software. By distilling the practical strengths and limitations of these tools, Addepalli’s research serves as an essential guide for data scientists and engineers, enabling more informed, efficient, and impactful visual communication of data. Her work is particularly notable for its direct relevance to both academic research and industry practice, making her a key voice in the ongoing evolution of data visualization methodology.