Analysis and Modelling of Structured Data with Automatic Data Analysis Web Application

This paper introduces a novel web application designed for automated analysis and modelling of structured data. The application eliminates the need for user coding, allowing users to interact with the data through a user-friendly interface. By uploading a structured dataset, users can leverage the application's functionalities to improve data quality. These functionalities include, but are not limited to, data cleaning and pre-processing. One of the key strengths of this application is its ability to automatically generate machine learning models based on the uploaded data. Furthermore, the application takes the automation a step further by training the generated models without requiring user intervention. This eliminates the need for data science expertise, making the power of machine learning accessible to a wider audience. This paper details the application's architecture and functionalities, along with an evaluation of its effectiveness in data analysis and model building. The paper discusses the application's potential impact on democratizing data science and its limitations for future research directions.