Data Visualization Automation
Year: 2025
Type: article
Abstract: The big-data world, businesses need rapid and practical methods to translate massive datasets into meaningful insights. Classic dashboard creations is typically manual and time-consuming, it often needs coding skills, which is not accessible for non-skilled users. In this paper, an automatic data visualization framework is presented in order to facilitate and speed up this task. Users can upload a dataset, after which the system would analyzes the data and suggest the three to four templates that could accommodate the data. These templates are designed to draw attention to trends, compared to results and data distribution. After the end game of the game, the user can choose a favorite template, modify it as appropriate - for example, change the types of charts, design or save ready-made dashboard. Integrating automation and user customization, the system reduces labour, cuts down on errors and helps to prevent the loss of sensitive data.
Author: Amalraj Victoire, M.Vasuki, VELMURUGAN V
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7101417582
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