Development of a Web-Based Statistical Analysis System for Research Data
Statistics — 2025, Undergraduate
web applicationdata analysisstatistical analysisresearch
This study developed a web-based statistical analysis system to help students and researchers run descriptive and inferential analyses without proprietary software. The system allows users to upload datasets, select variables, and generate descriptive statistics, t-tests, ANOVA, correlation, and regression outputs with interpretable summaries. Adopting a client-server architecture and a survey-based usability evaluation, the system was built using Python, Flask, Pandas, and React. The findings showed that the system reduced analysis time and improved accuracy compared with manual spreadsheet methods, while achieving a high System Usability Scale score. The study recommends institutional deployment and training for researchers.
For reference and learning only. Do not submit this work as your own.
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