The Role of Data Visualization in Web-Based Data Analysis Tools

Abstract

In the age of increasing data importance, individuals and organisations must be able to effectively comprehend and use the data they gather. This project presents a web-based data analysis platform that aims to provide a user-friendly alternative to conventional spreadsheet applications. The system employs Laravel, a PHP-based web application framework, to construct a platform that facilitates data input, visualisation, and processing functionalities, serving the needs of a variety of users, from novices to professionals. The platform is designed to give customers enhanced data analysis capabilities, enabling them to collect real-time data, analyse it effectively, and extract practical insights. The project hereby seeks to develop a robust and scalable data storage and processing framework that prioritises security while remaining user- friendly. This framework will employ cutting-edge methods, including statistical analysis and machine learning algorithms, to give the platform valuable features, such as strong user authentication, preconfigured calculation routines, templates, and efficient data input/output capabilities. The overall aim is to improve the user experience and enable informed decision-making by emphasising dynamic table generation, interactive data visualisation, graph creation, and export capabilities. The primary objective hereby is to provide a comprehensive and adaptable web-based data analysis tool that fulfils the changing requirements of modern society, where expertise in data science is essential for achieving success in many sectors.