Abstract

Embarking on web technology, this project integrates Google Apps Script and React JS to craft a robust data analysis tool. Hosted on Netlify, the front end empowers users to seamlessly choose Excel sheets, initiating backend processes via an API. Leveraging Google Drive, the backend fetches, parses, and transmits data, facilitating dynamic visualizations such as tables and charts. With JavaScript at its core, the system ensures smooth interactions, providing an intuitive interface for comprehensive data analysis. Emphasizing efficiency, this application harmonizes frontend and backend technologies, creating a dynamic platform for users to explore and interpret data effortlessly. Using online tools is a standard procedure for assessing a website’s accessibility, finding faults, and offering helpful advice on how to resolve concerns found. Over the years, numerous tools have been created and effectively applied to facilitate accessibility validation. In this research, we provide a visual analytic tool to perform some visual analysis of students' data from program courses by combining machine learning approaches with data visualization. Since some of the techniques are complementary to one another, using the appropriate combination of evaluation tools can result in the highest levels of coverage and completeness. We work with distributed data that can be expressed as a finite collection of information systems or decision tables with equal sets of attributes. More autonomy is desired from data analysis tools in terms of resource management, risk and cost minimization, error assessment, novel representation development, and integration with other data analysis tools.