cid 2df585d7974619b7e51eca01dca5a1cebe347e639ae85af8abd914f60b4d1b8f · original · via openalex
Title: DataFusion: A web-based data analysis tool Authors: Sohail Elabeidi; Mohannad Balam; Marwan Ben Idris Venue: AIP conference proceedings Year: 2026 Canonical: doi:10.1063/5.0318203 URL: https://doi.org/10.1063/5.0318203 Collector: openalex OA: false ABSTRACT This research presents DataFusion, a web-based data analysis tool designed to facilitate comprehensive data exploration, preprocessing, visualization, and aggregation. Built using Python and popular data science libraries such as Pandas, NumPy, and Plotly, DataFusion aims to bridge the gap between increasing dataset complexity and the limitations of existing analysis tools. It enables users to perform a range of tasks ranging from statistical analysis and data cleaning to generating visualizations and aggregating data for deeper insights. By using Streamlit to create a simple and user-friendly web interface, the tool is accessible to users with different levels of technical skill, providing a scalable and flexible solution for modern data challenges. This paper contributes to the field of data science by enhancing usability, and efficiency in data analysis workflows, despite limitations in handling extremely large datasets and certain advanced visualizations. However, it underscores the importance of usability and accessibility in the design of data analysis tools.